To start with, Amazon web services is an Infrastructure as a Service also known as IaaS which offers a variety of services. AWS is an extensive and evolving cloud computing platform that offers organizational tools such as database storage, compute power, and content delivery services.  

Cloud computing allows you to save significant costs once your infrastructure is set up and data migration is completed. Even after this, it is advised that you optimize your costs to avoid any miscalculations or surprises. Cost optimization in AWS not only allows you to refine costs it also improves the system over its life cycle resulting in maximizing your return on investment. In this context,  we have listed 10 best practices and handy tips to optimize AWS cost and performance for your business.

1. Select the Right S3 Storage Class

Amazon Simple Storage is an AWS storage service that enables your cloud to be extremely reliable, scalable, and secure. Amazon offers six tiers of storage at various price points. To determine which tier is best suited for business you can depend on factors such as usage and accessibility of your data and retrieving data in case there is a disaster. The lower the tier the more hours it will require to retrieve data. 

AWS S3 Intelligent Tier case is one of the six tiers being offered. The plus point in this tier is that it automatically analyzes and moves your data to the appropriate storage tier. S3 Intelligent Tier further helps inexperienced developers to optimize the cost of cloud-based storage.  This class saves you an immense amount of cost by placing objects based on changing data patterns. If you know your data patterns, you can combine that with a string Lifecycle policy to select the perfect storage classes for your entire data. 

Since various classes will break down your costs differently, an accurate and calculated storage class will result in guaranteed cost savings.

2. Choose the Right Instances for Your Workloads

When it comes to instances, you can choose from different instance types according to your costs and configurations. In this regard using AWS instance scheduler can be very helpful.  Selecting the wrong instance will only increase your costs as you will end up paying for storage that you do not even require. This false decision can also make you end up underprovisioning. Which means you have a limited capacity to handle the workload and data. There is always an option to either upgrade or downgrade, depending on your business need, or move to different instance options and types. Staying up to date on this will help you save money and reduce costs in the long run.

3. Track, Monitor, and Analyze Cloud Usage

There are different tools available to monitor and track instance metrics and data. To plan your budget accordingly you should have a clear understanding of your data usage. An assessment of your workload will help you in making that decision. The workload can be easily assessed with the data gathered. If there is a need then the instance size can be scaled up or lowered.

 Amazon trusted advisor is one of the tools that you can use. This tool keeps a weekly check on the unused resources while also helping you optimize your research usage. 

These tools also provide real-time guidance for the users to assist in restricting the resources used. There is also a timely update to assure the safety and security of data. Naturally, cost optimization is also addressed.

4. Purchase Reserve and Spot Instances

Purchasing Reserved Instances is a simple way to reduce AWS costs. But it can also be an easy way to increase AWS costs if you don’t employ the Reserved Instance as much as you expected to or choose the wrong type of Reserved Instance. Therefore, rather than suggesting that purchasing Reserved Instances is one of the best practices for AWS cost optimization, we’re going to recommend the effective management of Reserved Instances as an AWS cost optimization best practice—effective management consisting of weighing up all the variables before making a purchase and then monitoring utilization throughout the reservation’s lifecycle.

Reserved instances also let you purchase a reservation of capacity for a one or three-year duration. In this manner you pay a much lower hourly rate than on-demand instances, reducing your cost up to 75% on cloud computing costs.

5. Utilize Instance Scheduling

It is essential to ensure that all non-critical instances are only started when they need to be used. You can schedule start and stop times for such instances as required in software development and testing. For example, If you work in a 9-to-5 environment, you could save up to 65% of your cloud computing costs by turning these instances on between 8 AM and 8 PM during working hours.

By monitoring and checking up on the metrics it can be determined in the process where the instances are used more frequently, there is always a chance that the scheduling can be interrupted, and that also when access to the instances is required.  It’s worth pointing out that while instances are scheduled to be off, you are still being charged for EBS volumes and other services attached to them. 

6. Get The Latest Updates on Your Services

AWS strives to assign cloud computing for personal and enterprise use. They are always updating their products and introducing features that improve the performance of services. When AWS announces newer versions of instances, they consistently feature better performance and improved functionality. Upgrading to these latest generations of instances saves you money and gives you improved cloud functionality.

7. Use Autoscaling to Reduce Database Costs

Autoscaling automatically monitors your cloud resources and then adjusts them for optimum performance. When one service requires more computing resources, it will ‘borrow’ from idle instances. This option then automatically scales down resource provision when demand eases. In addition to this auto-scaling also lets you adjust scaling on a schedule for predictable and recurring load changes. 

8. Cleaning Up EBS Volumes

Elastic Book Store (EBS) is the volume for storage that all the Amazon EC2 instances are using. These are added to your monthly bill, whether they are idle or being used. If these blocks are left lying idle, they will contribute to your expenses even when the EC2 instances are decommissioned. Deleting unattached EBS blocks when decommissioning instances will cut your storage costs by up to half.

There could be thousands of unattached EBS volumes in your AWS Cloud, depending on how long your business has been operating in the cloud and the number of instances launched without the delete box being checked. It is definitely one of our AWS cost optimization best practices to consider, even if your business is new to the AWS Cloud.

9. Carefully Manage Data Transfer Costs

There is always a cost linked with transferring your data to the cloud. Whether it is a transfer between AWS and the internet or between different storage services,  you will have to pay a cost. Transfer costs with the cloud providers can add up quickly in this process. 

To manage this better you should design your infrastructure and framework so that data transfer across all the AWS is optimized. You should be able to complete this transfer with the least amount of transfer charges possible.

10. Terminate Idle Resources

The term “zombie assets” is most is used to describe any unused asset contributing to the cost of operating in the AWS Cloud.  Other assets that contribute in this category are components of instances that were activated when an instance failed to launch, unused Elastic Load Balancers., obsolete snapshots, and unattached EBS volumes. A problem businesses face that when they are trying to implement AWS cost optimization best practices is that some unused assets are difficult to find. For example, unattached IP addresses are sometimes difficult to locate in AWS System Manager, Any unused asset that contributes to your overall AWS expenses is a ‘zombie asset’. There are tools like CloudHealth that will help you identify and terminate zombie assets that contribute to your monthly bill. Anything you don’t use and isn’t planning to use in the future should be deleted with the help of such tools.  Such tools will help you reduce costs by deleting idle load balancers.

In conclusion:

With a continuing need for businesses to take a position within the latest, competitive, and result-oriented technology, it becomes important to seem at cost-saving tools and factors.  AWS offers you powerful cloud computing tools you can use to transform your business and its needs. But if you are not so proficient in using AWS services and tools, AWS can cost you a lot of money. These AWS cost optimization tips above will help you reduce the expenses of using the AWS platform. Cost optimization in AWS is a continuous process.  You can’t perform it once and then never visit it again. You should continuously monitor your resource usage and instance status to make sure you only pay for the assets you require. 

Therefore, try these AWS cost optimization best practices and get ready to optimize your cost without compromising performance.

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Businesses large and small are rapidly becoming cloud-native, leaving on-premise data centers behind. Why? A major reason is no requirement for storage hardware and a much more efficient running of mission-critical workloads and databases. However, many businesses that are new to the cloud or even those that are already on the cloud, find themselves battling with rising cloud costs. As they scale and begin facing unpredictable or undefined workloads, operational inefficiencies are more likely to appear within their cloud infrastructure, which adds to their cloud bill. 

What is S3 Intelligent Tiering & who is it for?

Companies that adopted or migrated to AWS cloud, can easily save on their cloud bill with efficient governance, and intelligent tiering using Amazon S3. This AWS feature is especially suited for businesses that are new to managing cloud storage patterns, and lack experience therein; or, are more focused on growing the business and have little to no time or resources dedicated to optimizing cloud operations and storage. S3 intelligent tiering optimizes storage costs automatically based on changing data access patterns, without impacting application performance or adding to overhead costs. 

Before we move on to discuss some of the practical use cases of S3 intelligent tiering, let’s learn a bit about how it actually works. S3 intelligent tiering stores objects based on how frequently they are accessed. It comprises of two access tiers, one that is optimized for frequent access, and another for infrequent access. The latter is also known as the ‘lower-cost tier’. S3 intelligent tiering automatically move less frequently used objects – e.g. those that have not been accessed for 30 consecutive days – to this tier, by continuously monitoring data access patterns. 

Let’s talk about the top 3 use cases where cloud-first businesses can cut costs and drive savings using S3 intelligent tiering. 

#1 Understanding Storage Patterns

Here’s a rough estimate of AWS storage costs: if your business requires 1PB of data storage, this will cost you around $300,000 annually in storage costs if you use the S3 standard. If you’re new to the cloud or just starting to experiment with cloud storage options, you may observe a rise in your AWS cloud bill. This usually happens due to a lack of understanding of how and when your data access needs change. S3 storage offers you lifecycle policies and S3 storage class analysis that tells you when to move your data from one access tier to another, and save on your AWS spend. 

S3 Intelligent tiering helps you optimize your storage automatically by moving data between the frequent and infrequent access tiers. This means you will save money that would otherwise be used to store dormant data. The frequent access tier charges you for data hosting on standard S3 storage, whereas, the infrequent or archive access tier incurs lower costs of storage. In addition, when using S3 standard storage, you don’t be charged extra for transferring your data between access tiers. This also helps in keeping costs low. This means, if you’re unsure about your access patterns and data use, the S3 standard storage would be the ideal option for you. 

#2 Managing Unpredictable Workloads

Don’t know when your data workloads may increase or reduce? S3 intelligent tier is a perfect way to manage your cloud storage if you need to access assets intermittently from your cloud-based database. With flexible lifecycle policies, intelligent tiering automatically decides which data must be placed in which tier (frequent or infrequent access). This can be helpful in many scenarios, e.g. when building a database for a school,  accessing exam data would be infrequent since it will not be needed for a large portion of the school term. So this data would be moved to the infrequent access tier after consecutive 30 days of dormancy.

Similarly, in many companies, AWS S3 intelligent tiering can help cut cloud costs. Most employees store their data using different applications and more often than not forget about that data until a day comes when they need it. So if you were to use standard S3 storage only, it would incur huge data storage costs without any meaningful ROI. With intelligent tiering, you can manage what data are you actively charged for, and the dormant or infrequently used data can be moved to the lower-cost tier. 

For unpredictable, dynamic, or rapidly changing data workloads, S3 intelligent tiering serves as a powerful tool that helps ensure data availability as needed, upholding performance, and optimizing cloud storage costs. 

#3 Complying with Regulations

When working with clients and partners within the European Union (EU) region, one thing that most providers and companies have to comply with is General Data Protection Regulation (GDPR). 

GDPR harmonizes data protection and privacy laws and lists down a number of rules when it comes to handling users’ data. One of those rules talks about data erasure – i.e. private user data should be erased from your databases and websites after a certain period of time or a certain period of data dormancy. 

If you use S3 intelligent tier storage to comply with GDPR, it can save on your company’s AWS cloud bill, and optimize your storage without compromising on performance. 

If a user does not access their data for some time, it will be moved to the lower-cost storage tier, and will not cost you as much as S3 standard storage. S3 also allows you to set your own lifecycle policy where you can decide the duration of active data storage. For instance, you can choose to keep your users’ data in the frequent access tier for six months or up to a year, before it is moved to the infrequent access tier. Moreover, S3 intelligent tiering enables you to control mechanisms like access control lists and bucket policies to you always stay compliant with data security regulations. 

Long Story Short

Cloud storage incurs huge costs to companies that do not have optimized storage in place. As an AWS user, the best choice would be to opt for Amazon S3 intelligent tier storage if you find yourself looking at a high AWS cloud bill each month. With varying data workloads, lack of experience in understanding cloud storage and compliance to regulations, S3 intelligent tiering helps you optimize s3 data costs and keep cloud costs in check

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Want to save up on your cloud data computing costs? Amazon S3 Intelligent tiering is the best option to save data costs and keeps them in check.

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Amazon Web Services (AWS) is one of the most powerful, robust, & widely adopted cloud platforms with the potential to dramatically reduce your infrastructure costs, deliver faster development and innovation life cycles, and increase efficiency. However, mere adoption is not enough. If your workloads and processes aren’t built for high performance and cost optimization, you could not only miss out on these benefits but quite possibly end up overspending in the cloud by up to 70%.

From cloud sprawl and difficult-to-understand cloud pricing models to failing to right-size your environment or keep pace with AWS innovation — you may face many challenges on your journey to optimization. But through the adoption of some best practices and the right help, you can get the most from your AWS cloud.

Let’s break down some of these best practices for you:

1. Enable transparency with the right reporting tools

The first step should be to understand the sources and structure behind your monthly bills. You can use the AWS Cost and Usage Report (AWS CUR) to add your billing reports to an AmazonS3 bucket that you own, and receive a detailed breakdown of your hourly AWS usage and costs across accounts. It has dynamic columns that populate depending on the services you use.  It will be helpful for you to understand methods of AWS cost optimization.  

To level up your optimization through deeper analysis, AWS recommends Amazon CloudWatch – Collect and track metrics, monitor log files, set alarms, and automatically react to changes in AWS resources.

2. Closely monitor your cost trends

Over time, as you begin to adopt AWS technologies and simultaneously monitor their costs, you will start noticing the trends and patterns in your cost. Keeping a close eye on these trends on a regular basis can help you avoid any long-term or drastic cost-related red flags. In addition to monitoring the trends, it is also important that you understand and investigate the associated causes for the spikes and dips through AWS cost explorer. This is where an AWS Trusted Advisor can be a huge help, as they can give you personalized recommendations to optimize your infrastructure, and help you follow best practices for AWS cost management.

3. Use accounts & tags to simplify costs and governance

It is crucial to learn when to use account separation and how to apply an effective tagging strategy. Be sure to take advantage of AWS’s resource tagging capabilities, and delineate your costs by different dimensions like applications, owners, and environments. This practice will help you gain more visibility into how you’re spending. 

4. Match consumption with demand

The flexibility and scalability of cloud platforms like AWS allows you to provision resources according to your downstream needs. When right-sizing your resources to match demand, be mindful of horizontal and vertical over-scaling as well as run-time on unused or old resources. You can save significantly on costs incurred from wasted resources, by tracking your utilization and turning off old instances. AWS Cost Optimization using AWS Cost Explorer – See patterns in AWS spending over time, project future costs, identify areas that need further inquiry like getting a report of EC2 instances that are either idle or have low utilization, similarly checking EBS volumes and S3 buckets using S3 Analytics.

5. Tap into expertise and analytics for your AWS environment

Seek third-party expertise for technology cost management, instead of reallocating your valuable technology resources to budget analysis. VentureDive offers a comprehensive solution with support and expert guidance that will keep your AWS workloads running at peak performance, while optimizing your cost savings.

Our Optimizer Block for AWS enables you to cut costs, boost performance, and augment your team with access to a deep pool of AWS expertise. Through constant ongoing cost and performance optimization, you have the confidence that your financial investment is being spent wisely, and that you are maximizing performance from your AWS workloads. And with 24x7x365 access to AWS experts, you know you’ll be ready for whatever this changing market throws at you next. 

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Learn how you can adopt AWS Well-Architected Framework best practices to optimize your cloud infrastructure. Our certified AWS subject-matter experts can help lower your cloud costs by 21%!

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VentureDive has been named one of the top mobile app developers in San Francisco by The list of leaders was compiled based on the expertise, experience, quality of services, and reliability of the development companies. To make an assessment, Techreviewer collected information about our services and clients’ reviews. Their research placed us in the list of mobile app development companies out of over 700 competitors.

Techreviewer conducts annual research and regularly updates market leader lists. Analysts’ findings help those who are looking for service providers of complex technical tasks.

VentureDive is known to be headquartered in the United States, San Francisco. The company started its work 9 years ago – in 2012, and now specializes in software, web, and mobile development.

VentureDive is a reliable service provider of high-class app development services and business solutions for companies of any industry. Possessing deep practical knowledge in various fields, the company helps its clients to solve their business challenges as soon as possible, while maintaining high quality and efficiency.

VentureDive’s mobile development services

At VentureDive, we have mastered the art of building competitive mobile solutions by using the right methodologies. Our profound work methods have been the key to improve the business expansion of our clients worldwide and have made them a leader in their genre. 

VentureDive designs and develops Native and Hybrid mobile solutions. We have a wide range of experience in providing our services to companies belonging to different parts of the industry. This includes transportation & logistics, healthcare & life sciences, consumer products & services, finance, and many more. 

VentureDive is known for researching the latest technologies and is always on the lookout for further improvement. The clients are the topmost priority for VenD. Let’s discuss a few latest projects successfully launched by VentureDive.

Miza | Grocery & pharmacy delivery solution

Miza is a Fintech company with its presence in UAE, Bahrain, Egypt, and Tunisia. It delivers a multitude of products and services to its customers. Their principal focus was to build platforms and online marketplaces to benefit the people across the MENA region.

VentureDive enabled them to build a marketplace that connects buyers and sellers within the grocery and pharmaceutical business domains. In order to achieve this target successfully, we helped them with product discovery, technological revamp, and UX design. Together, we built two on-demand delivery platforms, using which MIZA has managed to significantly bridge the gap between consumers and everyday essentials like grocery and pharmacy supplies. 

Medz n More | Pharmacy delivery solution

Medz n more is a B2B platform that connects pharmacies to patients (Via B2C platform). They are a team of digital healthcare innovators, dedicated to improving access to healthcare by blending technology and innovation to solve problems associated with modern-day pharmacies and online medicine delivery management systems.  Medz n more faced two challenges: 

  1. Difficulty in procuring medicine 
  2. The abundance of counterfeit medicines

VentureDive deciphered a solution by building a fully customized and automated digital ecosystem, consisting of two online platforms.  On-demand delivery of medicine enabled Medz n more to bridge the gap between pharmacies and their access to authentic medical supplies and drugs.

DistributionNOW | Oil & Gas

DistributionNOW is the leading supplier to energy and industrial markets worldwide. With a presence in more than 250 locations in 20+ countries, it delivers a complete range of products and services to upstream, midstream, downstream, and industrial customers. DNOW needed an efficient, sustainable, and scalable digital solution to replace their paper-based registers for record maintenance. This would enable them to easily organize their data, curate surveys for their field engineers, and generate comprehensive asset management reports.

VentureDive helped them achieve this goal by efficiently using Amazon EKS, Amazon Relational Database Service, and AWS Cloud. Today, DNOW has managed to significantly reduce survey time, improve data integrity, streamline asset management, and enhance user journeys for their staff and field engineers. A cloud-based and fully automated digital platform designed by VenD has enabled them to achieve their targets. 

VentureDive is honored to receive this badge in 2021. We are determined to further improve our services and expertise and launch more efficient and successful solutions in our market.

Check out the listing here: Top App Developers in San Francisco.


Techreviewer is an independent IT market research and analysis company. The platform helps to find the best companies that provide high-quality IT services for technical support, development, system integration, AI, Big Data, and business analysis. As a result of objective market analysis, the Techreviewer platform determines the most successful and reliable IT companies and makes top ratings for each of the service categories. Techreviewer’s ranking lists help organizations select the right technology partner for their business needs.

Mobile app development

Looking to build a high-quality, robust & reliable mobile application? Explore our mobile app development services, deep-dive into our hybrid and native applications, and get started with your own app today!

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Online shopping in today’s time and age has become a necessity for all growing businesses. Customers are gradually becoming comfortable buying things they need and want with just a click! Many customers are leaving behind the traditional shopping methods. This has led business owners to turn to online delivery solutions built on websites and mobile apps. In 2020, thousands of businesses closed their brick-and-mortar establishments and moved their services online. While this effectively allowed organizations to continue operations, it also posed a new threat — cybercrime. All online businesses and e-commerce solutions are always on the edge when it comes to cyberattacks. Irrespective of the size and scale of business, no business is immune to cyber risk.  

In the first quarter of 2020, there were 273% more data breaches than there were in the first quarter of the year prior. The main reason for this is due to many businesses becoming more digitally orientated. And the online delivery industry is no exception. 

If you’re a delivery business owner, follow these four tips to secure your online operations.

1. Know the cyber risks

First and foremost, you need to educate yourself on the nature of cyber risks so you know what to expect and how to protect against them. 

  1. Phishing attacks
    One of the most common cyber risks is phishing attacks. This is when hackers send you emails that pose as legitimate institutions to lure you into providing sensitive data, like your banking details or credit card number. These hackers use phishing emails to steal money from their victim’s accounts and even impersonate their digital identity. 
  2. Ransomware attack
    This is when hackers encrypt your data, making it impossible for you to read, and demand payment for the cipher or the key to unscrambling the data. Both of these cyber risks can easily be avoided by double-checking emails with suspicious links or attachments. You should also back up company data and ensure that your passwords and accounts are secure.
  3. Financial frauds
    Hackers tend to perform unauthorized transactions and clear the trail so that the business owner is unable to investigate. The hacker also at times requests fake refunds and returns. Fraud management systems are one way to detect and get protection against fraud. 

2. Secure tracking systems

Your online delivery business can benefit from tracking systems that inform them of the status of their deliveries and products. However, such systems can be hijacked and manipulated by hackers. In many cases, this causes little more than disruptions to the delivery schedule. However, this vulnerability can lead to more dangerous situations. For example, cybercriminals can use stolen tracking data to intercept your delivery routes and steal goods. This not only leads to a loss of property, but it could also be dangerous for your employees. For a secure online platform for delivery businesses, check out VentureDive’s all-in-one application for online delivery businesses.

 It’s highly customizable and a cyber secure option for business owners. You can also secure tracking systems by doing the following:

  1. Securing your servers and admin panel: Do not keep passwords that are easy to guess. Keep complex passwords and keep changing them every now and then. 
  2. Keeping strong firewalls: Firewall software and plugins are easily available for free or at a price. They automatically keep a check on your servers and blocks any new threats. Good firewalls even resolve new viruses or bugs that might attack your server.
  3. Using anti-virus and anti-malware software: Hackers can be easily stopped if your antivirus is up to date. They are also able to flag any malicious activity or transaction. 
  4. Frequently backing up your data: You can employ an automatic backup service so your data is being protected and backed up regularly. A system malfunction or cyber-attacks can easily wipe out your entire data for good. So it is wise to take all the precautionary measures. 
  5. Checking from time to time for any malicious activity: You can get special monitoring software that keeps track of data and activity in real-time. It also notifies you if a suspicious transaction occurs.
  6. Stay updated: Keep your antivirus software and plugins up to date. Hackers can detect if a system is using an outed version of security software.

3. Consult with cybersecurity professionals

That said, basic methods might not be enough to protect your delivery business against hackers, and consulting with professionals might be a necessary step forward. The escalation of cybercrime in 2020 is one of the reasons cybersecurity jobs are being created by the millions, 3.5 million in 2021 to be more accurate. With the sheer amount of businesses migrating to the digital platform, there is huge pressure on the cybersecurity industry to respond. Filling this gap, though, is a massive undertaking. This is why educational institutions have developed their cybersecurity degrees to have a strong business focus. Today’s cybersecurity graduates are much more knowledgeable about the business landscape and the needs of growing businesses like delivery services. Mixing business with cybersecurity training has opened up the industry to more professionals. If your business is too small to have its cybersecurity department, put your trust in outsourced experts who can set up strong defense and offense strategies against hackers and cybercriminals.

4. Educate your employees

Robust cybersecurity measures aren’t worth much if your workforce is not aware of cyber risks and how to protect against them. People are the weakest link in cybersecurity, so you—better yet, your cybersecurity team—must educate them on the dos and don’ts of conducting business online. This protects company data from all forms of cyber risks, particularly those that prey on human error, like phishing emails. And with delivery businesses holding valuable personal information like addresses and bank details, it’s important to hold workshops or distribute resources on the importance of cybersecurity to your workforce.


To sum up, the world of e-commerce fraud can seem complex. But keeping your cybersecurity up to date will only benefit your business and will fight against fraud and viruses. Developing cybersecurity for your online business is vital for the growth and success of your business. While any business can benefit from allocating resources for cybersecurity, even small initiatives such as workshops can eliminate a huge gap in your defense against hackers and criminals. You should take as many measures as your business demands. Your end goal should be to be able to create a website/app that your customers can absolutely trust. 

On-Demand Delivery

Want to start safe and secure online delivery for your business? Look no further! Movanos Delivery Management by VentureDive is an all-in-one solution to your needs, and can be tailored to fit your business model perfectly!

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Just a few years ago mobile applications were normally written in Native languages. Now, a lot of the market is shifting towards React Native to write their apps. Some of the big companies like Facebook, Soundcloud, and Bloomberg are already using this framework and their apps are running smoothly and efficiently.

Any mobile app development begins with choosing the right tools, platforms, and frameworks that one will need to design and build it. When it comes to app development for your product, there are two paths available: Native or React Native. Choosing between the two can be overwhelming. This is why to overcome this challenge you will need to explore the pros, cons, budget constraints, and development time of each method.

The debate about React Native vs. Native apps has been long-standing. Even though it varies from project to project, let’s explore the basics of how each development approach is different and why you must choose/prefer one over the other.

Differences Between Native and React-Native Apps

React Native allows developers to write the code once but lets them run on any platform, whereas, Native development requires separate coding for each platform. React Native is written in JavaScript and is known as a Hybrid framework. On the other hand, Native apps are built for either iOS or Android. These apps are built with specific programming languages for specific platforms

Before investing your money to build your iOS and Android app or a Hybrid one, it is smart to weigh in all your pros and cons. Right from the beginning, you should be aware of the possible obstacles or difficulties that might occur.  

By now you know React Native is a platform-independent framework because it gives you the freedom to build an iOS and Android app on the same framework keeping intact the UI UX design of the app. Native jumps in when you want to build custom UI components and have a unique user experience that requires external libraries. 

We took the liberty to divide the main differences between the two into points. 

  • Support of applications: Because React Native is a new technology it, unfortunately, does not have parent support. This precisely means that the Google Play store or App store may stop accepting your app at any given time. On the other hand, Native apps are built for specific platforms therefore they meet all the requirements. 
  • Performance: This can be measured from a lot of factors e.g. animations, lags, slowdowns, and load time. Nonetheless Native runs more efficiently because it was built to run on that specific platform only. React Native is built for both platforms so it is understandable that it utilizes more battery on the device and can cause lag or slowdown. 
  • User Experience: The UX on React Native apps is compromised as mobile screen size varies. Whereas Native apps have the edge to design and built-in UX UI components however they wish to maintain a visual balance in all the screens. 
  • Development cost and maintenance: Native requires two development teams for making and maintaining the app. React Native allows you to build the app using a single code base, which saves you cost as well as time. 
  • Long-term app development: Although React Native is a faster inexpensive way to launch your business app it is not that efficient with updates. The updates and the google and apple store are not in sync at all times. Which makes it tough to build and launch any future update.  Since Native is supported by Google and Apple, it is more coherent with updates and resolves problems as they emerge. 

React Native vs. Native App Development

Native Application Development

Native app development is centered around designing mobile apps specific to a single platform, like iOS or Android. These apps are built with programming languages and tools that are specific to a particular platform. Android apps require coding in Java or Kotlin using Android Studio for the environment. IOS requires coding in Objective-C or Swift and the IDE is Xcode. Therefore, this process needs at least two developers or development teams to build two different versions of an application, simultaneously.

Native is without a doubt a time-consuming process. But there are some solid pros that Native has to offer:

  1. Fast and Reliable
  2. Better app design and performance. 
  3. Robust language
  4. Accessibility of APIs

The downside of opting for Native is the following:

  1. High cost of development of two applications
  2. Higher development time

React Native Application Development

React Native is the leading hybrid mobile development framework. With React Native, you write an iOS app exactly the way you would write a web app. That sounds very convenient, but also may cause some problems.

By using the react native method you will need to write the code only once and the final product can be run on iOS and Android.

React native pros:

  1. Single codebase
  2. Lower development cost
  3. Time-efficient 
  4. Reusable components
  5. Faster debugging process
  6. Faster prototyping
  7. Open-Source: Most features already have a build solution
  8. Easy maintenance

Cons attached to this process are: 

  1. Reduced number of Native elements
  2. A limited number of Third-Party Libraries
  3. Absence of Support for All Native APIs

Our Approach to App Development

VentureDive has been at the forefront of bleeding technology for both Native Android and iOS development and has a large pool of resources from both competencies. When we speak about React Native vs. Native app development, we include two different competencies that require separate sets of expertise to develop apps that deliver excellence and true business value.

Here’s a quick list of tools and technologies we use for both approaches:


  • Swift programming language
  • Viper and MVVM (architecture patterns)
  • iOS storyboarding
  • Core Data for iOS
  • SwiftUI (for making interfaces & screens)


  • Kotlin programming language
  • MVVM, MVP & Reactive Programming with Rx Java (architecture pattern)
  • Constraint layout (with Android previewer)
  • Scoped storage for better data security
  • Jetpack Compose (design through code)

Why Choose Native App Development

By answering a few questions related to your app requirements you might get a clear picture of which method will bring out the best results. 

Here’s why you should go for Native app development:

  • If your app is going to be complexed
  • You are more inclined towards the user experience part of your app
  • If you want in-built features like brightness control
  • If you are targeting a single platform either iOS or Android 

Why React Native for Mobile App Development

Here are some reasons why you should opt for React Native:

  • Your app is minimal in terms of UI and UX
  • You want your app to available on all platforms with a reasonable budget
  • You want your app to launch in a shorter amount of time 
  • Your business is a start-up and has limited resources and funds

When it comes to app development, React Native has been in the center at VenD. We have delivered countless flawless projects through this method over the years. We achieved this by conducting training sessions for the entire mobile development team. This helped the teams to gain the necessary knowledge to quickly bootstrap and deliver a React Native application. By building upon the core knowledge and expertise of the native platform we are able to deliver better-performing apps in a much shorter time;  be it using React Native Expo or bare metal React Native CLI application. Here’s a quick resource to help you explore the best CLI for hybrid app development: Expo CLI vs. react-native CLI: Which is better for hybrid app development.

Wrap up

In the end, you will learn that React Native meets all the client’s requirements while also saving cost and time. React native gets you the best of both worlds that is lower effort and efficient use of time and budget. If you are looking for rapid prototyping and MVP, React Native is the answer. These benefits make React Native a clear choice for a lot of clients. Still, if you have a lot of manpower and the project requires it you can opt for Native. Ultimately, there is no silver bullet. If you are in between answers, you can always consult an expert

To read up some more, check out these interesting thoughts Simple Programmer has shared on their blog.

Mobile app development

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Automated software testing is all the rage in the industry and for good reason. Although manual testing is still in place in many technology companies, many fast-growing organizations have adopted QA automation testing to speed up processes, redirect manual efforts and minimize the chances of error. 

It is quite common for businesses to outsource the quality assurance processes of their software development cycle. It saves them time, cost, and resources.

This means, it’s essential for technology organizations like ours, that offer software quality assurance services, to adopt one of the most accurate, efficient, and reliable approaches to quality assurance, i.e. automation. In this article, I’ll talk about how the QA team at VentureDive carried out automation testing for the Muslims App. It is a community engagement app by IslamicFinder that aims to unite Muslims around the world through a single platform, offering networking, knowledge sharing, and learning.

Let’s dive in! 

How did we manage before QA automation?

Muslims is a hybrid mobile application developed in React-Native. It has the same code hierarchy for both, Android and iOS platforms. This means we have the same code base for QA automation as well.

While the app was in the development phase, and new features were getting integrated into Muslims continually, we were carrying out manual quality assurance side by side. The process was consuming a lot of effort – with every issue reported, the QA team had to dig down into the apps again and again, and ensure that the overall performance of apps remains optimal. Every time an issue was reported or any new build was shared with the QA team, they had to go through all the features of the app, which made quality testing a tedious and time-consuming process. 

In short, we dreaded it! 

As the application got bigger and more complex with every sprint – that meant more issues popped up that needed fixing – it was no longer possible for us to test each and everything over and over again. So we decided to create and implement an efficient testing process to reduce the testing effort of the team, as well as enhance the overall quality of the apps. Enter: a hybrid automation system for mobile apps for both, iOS and Android platforms. 

QA automation covers a lot of things we previously had to do manually and repeatedly. It took on the menial, and repetitive tasks for us, delivered better testing quality, with minimal chances of error, and helped deploy high-quality, bug-free apps. Our automation engineers began developing the QA automation process for hybrid apps so we can test each and every feature more thoroughly, using both manual and automated systems, and deliver a seamless product to the users.

Why did we decide to automate the Muslims app?

The thought process behind automating the Muslims app was that we wanted to reduce the overall testing time of the app on both, Android and iOS platforms. The idea was that once any new feature is developed and ready to merge, we automate its testing. Over time, this would enable us to have a full-fledged testing process in place, that would streamline quality assurance efforts, reduce time and cost spent, and deliver efficient and high-quality apps to customers within record time.

The whole QA automation team brainstormed a lot on how to automate the hybrid application for Muslims. We discussed different technology stacks and their pros and cons with the goal to increases the overall quality and performance of the app through a smooth QA automation process.

Why did we use the same codebase for Automation?

The grounds behind using the same code base for automation of Muslims app was that we are developing a hybrid framework, and a single code base would mean a lesser number of changes required in the automation framework. Whenever there is a change in the application hierarchy, the same code base would mean reduced development effort in the hybrid framework. Here’s a resource to help you understand the difference between hybrid and native applications, and which might be a better choice for your project.

We can also reuse this QA automation framework for any hybrid app developed in react-native as well as native apps to make lives easier for automation engineers. This would make managing the code base simpler, with lesser changes and easy integration of new features within the automation framework.

What technology did we use for QA automation?

Our QA automation engineers adopted WebDriverIO, a tool that allows you to automate any application written with modern web frameworks such as React, Angular, Polymer, or Vue.js, as well as, native and hybrid mobile applications for Android and iOS.

 We can develop any web or mobile automation framework easily using WebDriverIO due to its exciting feature set and many valuable plugins. Its libraries are easily available and can be integrated with the framework quickly, so it saves a lot of time for automation engineers.

Many technology companies choose to go with Selenium WebDriver, another tool used for automating browser testing. We used WebDriverIO and javascript for the development of automation scripts for  Muslims app with integration of unit test frameworks like mocha and chai, the assertion library, in it.

However, we chose WebDriverIO over Selenium because of a multitude of technical reasons: 

  • WebDriverIO libraries are wrappers of selenium libraries as these are developed on top of selenium libraries – it provides faster execution than using Selenium APIs with Appium, a test automation framework. 
  • WebDriverIO provides a runner class where we can define all the necessary prerequisites, which makes it easier to configure the execution of automation scripts. Whereas, we have to write a lot of lines of code to set up the configuration process of Selenium with Appium.
  • WebDriverIO has its own Appium service so it takes only a few minutes to configure Appium with it.

Using a hybrid automation framework like WebDriverIO has many advantages. For instance, a one-page object class is developed for both Android and iOS platforms so we don’t need to create a separate repository for this platform. A generic helper class package is also created to reuse the utilities within the project and we can use this framework with any project in the future if we want to develop a framework for hybrid and native apps.

Wrap up

For the QA automation of hybrid apps, you can easily develop an automation framework with WebDriverIO and Appium as it provides a lot of flexibility in developing, structuring, and maintaining the codebase. It will be up to the individual’s expertise on javascript and node.js as it requires javascript skills for a person to work on these frameworks. If you have used Selenium with Appium, it will be easier for you to use a switch on these javascript frameworks. According to my experience, if you are developing your own hybrid application, I would suggest you give WebDriverIO a shot and feel free to share your experience of working with javascript frameworks.

QA AutomationQuality Assurance

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When it comes to delivering eatables to customers through an app, on-time delivery matters the most. Munchies, a Pakistani e-commerce snacking solution, was founded in 2019 by Unilever and VentureDive, with the aim to deliver snacks instantly to customers using an app. The app should allow them to choose from a variety of snacks including ice cream, chips, chocolates, and more.

Being the only on demand delivery app for snacks in Pakistan, Munchies got consumers’ attention swiftly, and began receiving a reasonable amount of orders, daily. Munchies, however, had to face challenges of on-time delivery, as well as, updating the customer on an accurate Estimated Time of Arrival (ETA). In other words, the Estimated Time of Arrival (ETA) for Munchies was taking longer than expected – it was inaccurate.

Munchies on demand delivery system

Similar to other on demand delivery apps for the food industry, Munchies was designed to focus on customers, stores, and riders. Whenever a customer places an order, a rider is sent a request to accept the order. After an order is accepted by a rider, a store is shortlisted to collect order items from. Eventually, when all order items are collected, the rider is all set to leave for the dropoff location and deliver the order to the customer. The figure below shows the current dispatch system.

unilever munchies on demand delivery dispatch flow chart

Problems with Munchies snack delivery workflow

While the on demand delivery flow looks manageable, it has many unforeseen complexities to it. In a hypothetical situation, if an item is not available at the store, then the rider might need to ask the customer either to cancel that item or go to another store, which will result in an increased ETA. Similarly, the larger the basket size (number of items in an order) of an order, the larger the time to collect all these items. Another reason for altering the ETA can be the long queues at stores given the pandemic.

The current system that estimated the time of arrival was Google Maps, that is, Google Distance Matrix API, which simply estimates the time from order acceptance to arrival at the store and then from store to the dropoff location of the customer. The total ETA is simply the sum of these two plus a fixed buffer of a few minutes. While Google is no doubt an efficient system to get ETA, but for Munchies, it just concentrates on the longitude and latitude of rider, store, and customer’s dropoff location. It is not aware of the working of Munchies and all the complexities discussed above.

The obstacle was that Google was providing an accurate ETA for the latitude, longitude pair, giving a time of 25 min, but because of the working and structure of Munchies, an order would, almost all of the time, take longer than what Google had provided. All this was not leaving a good impression on the customer. Another reason for a longer ETA was that in some areas, there were huge amounts of orders while it had somewhat fewer stores. This led to the suggestion that some stores can be added to reduce ETA and deliver quicker.

VentureDive’s strategy to resolve the ETA prediction issue

In order to solve this obstacle, the data science team at VentureDive was put in charge to dig deeper and come up with a viable solution.

After a thorough analysis of the data with respect to ETA, a number of key problems of using Google Maps were identified by the team. The main problem highlighted was that while Google is aware of the traffic conditions or roads of the city, it knows nothing about the internal operations of Munchies. For example, there might be a specific area in the city that takes too long or there might be some specific stores responsible for longer ETA. Munchies orders data is being stored on a daily basis but Google does not consider any of the data recorded for predicting ETA except latitudes and longitudes.

The main purpose was to make use of the historical data we had at our disposal to predict ETA. The team provided the solution which was simple but efficient. An in-house system ( a prediction model) that will predict ETA for orders.

Benefits of accurate ETA prediction for on demand delivery

The benefit of using this solution is that we will be using several more features to predict ETA than just latitude and longitude. Following are the features:

  1. Time & Location
    When an order is placed, we can tell our prediction system that the order is for this specific area or store respectively.
  2. Basket size
    We can also specify the basket size (the number of items in an order or even the rider information or vehicle type.
  3. Weather
    We can add weather data which, of course, has an impact on delivery time.  

The foremost benefit of having an in-house prediction system is that since it will be using historical data, it will automatically take into account all those complexities that we discussed above. It is also cost-efficient and entirely under our control. We can make changes anytime required as per the necessities which is not the case with Google Maps.

Building the ETA Prediction solution to enable on-time deliveries

Munchies on demand delivery model is designed in such a way that cities are divided into service areas and each service area has its own dedicated fleet of delivery that is instructed to remain near the restaurants to make delivery as quick as possible.

The team started with exploring the data and analyzing it specifically in terms of ETA. Data was already being collected from the app so the data acquisition stage was relatively simple. In the analysis phase, the team research came with quite interesting insights. Three research highlighted that there were some areas in the city that were constantly taking longer than expected. Similarly, orders from some stores were also taking too long to deliver. The most fascinating find was the dispatch algorithm currently in use could be improved which would reduce ETA.

After all the thorough research and solutions, now it was time to start building a machine learning model that would be trained on order data and then use it to predict the ETA of future orders. In order to build this model, the team did processing on the data which included:

  1. Feature Engineering
    The data had some timestamp features, so a month, day, week, an hour, or even minute and seconds can be extracted from a single DateTime feature which can possibly add to the model’s performance and data analysis.
  1. Outliers Detection and Removal
    The real-world data is always disordered and comes with outliers, but not all machine learning models can handle them. Using statistical techniques, outliers were removed from the order data since it not only affects analysis but also the model’s performance as well.
  1. Missing Values
    Another problem with real-world data is that it contains some missing values. The same was the case with our data. Again, with the help of statistical techniques, the team solved the problem of missing values.
  2. Encoding
    There were some features that were categorical in nature. Since many machine learning models cannot process categorical data, these features needed to be converted into numerical form, and for this reason, encoding techniques were used.
  3. Drop Irrelevant Columns
    Not all the features are important for a machine learning model. Columns like timestamps, Ids, etc. So these features can be dropped.

Once the data was filtered, meaning, it had no outliers, missing values, or categorical features, it was time to move towards the machine learning part where the data was first split into training, testing, and validation sets. 

Overcoming the hurdles & challenges

One of the challenges in machine learning is choosing an appropriate machine learning algorithm. Since predicting ETA (continuous values) is a regression problem, we had to choose a regression algorithm. The most common choice was to go for XGBoost since it is widely used in the industry and usually outperforms other algorithms. Therefore we tried 3 different algorithms and XGBoost outperformed all other algorithms. We evaluated our models using regression metrics. A number of metrics could be used including RMSLE, RMSE, MAE, R2 Score. We used some of these metrics for our case.

Initially, our models were not performing properly and there was an enormous error between the actual and the predicted values. This led to the hyperparameter tuning of models and which improved the results and reduced errors between the actual and predicted time of arrival.

One final step was to test the model in production. We deployed our model in production to see its comparison with the existing model. After months of comparison between the two, it turned out that an in-house solution was performing well in estimating arrival time by an adequate margin.


Long story short, with the help of data science and machine learning, our team was able to find the root cause of the problem. We provided viable solutions to the development team on how to reduce ETA to enable timely, on demand delivery of snacks, and build an in-house model that started predicting accurate arrival time for orders. Ultimately improved our customer experience in a cost-effective manner.

On-Demand Delivery

Looking to build a high-quality, robust & reliable on demand delivery solution? Explore Movanos, our fully white-labeled delivery management system that can be customized for your specific use case.

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Boosting a business through app development could be a notable move for your growth. An app reaches marketplaces, both traditional and online, especially areas like Google Play, App Store, and more. Moreover, it offers additional functions such as coupon codes and force update announcements. 

Speaking of applications, VentureDive produces and invests in high-end technology products and solutions to help businesses and improve the lives of people worldwide. We are a technology solutions company with a team of passionate service leaders. They serve as our partners in solving B2B and B2C challenges and making our clients stand out in the competition.

We focus on understanding our clients’ customers and business hurdles before developing unique solutions for them.

Rated 5-star by IslamicFinder

We are proud to announce that we’ve recently received a 5-star rating review from our Clutch’s platform. Clutch is a B2B ratings and reviews platform that connects businesses to solutions providers they need.

The review is from IslamicFinder’s General Manager. We are currently working with them on their development projects. We are keeping all of their apps modernized with the latest iOS and Android updates. Our team also helped the client improve their product performances.

IslamicFinder reviews VentureDive on Clutch

General Manager, IslamicFinder

“Our apps have been very good. We had been struggling with how to centralize the whole design system for our apps as well as for the website. They came up with the solution to build a design system, and they implemented it in our apps as well as our website. In our opinion, it has been a game-changer.”

It’s been more than five years since they began working with VentureDive. Until now, we can still feel how satisfied they are with the work we do in our project with them.

Rated 5-star by Kashat

Another 5-star rating review we received was from the Chief Technology Officer at Kashat, a nano-lending platform. We have been in partnership with them for over 3 years, and offer app development services for the Android platform to them. 

Kashat reviews VentureDive on Clutch

Sumair Farooqui, their Co-Founder & Managing Director talked about Kashat’s collaboration with VentureDive, in-depth, and shared their story of innovation. Watch the complete video below:

Top-rated app developers in Pakistan

These reviews are only two of our many clients who are more than satisfied with the services and solutions we have offered.

Our great news doesn’t stop there. Our company was hailed as the best flutter app development company in Pakistan by The Manifest, a business guide that shows the most talented solutions providers in the market. Flutter is a popular development kit for creating cross-platform. 

It’s heartwarming to receive such recognition. Our team of more than 250 professionals has been working hard to provide the best UI/UX design, development, and consulting services from startups to large firms. Finally, The Manifest sees all our efforts and hard work. 

Now, we’d like to show what we can do to your business. You can also visit our page to check our portfolio and send us an inquiry. We’d love to hear from you!

Flutter app developmentMobile app development

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Whether you are someone starting in the software development business or are in the game for quite some time, you’ll agree that managing projects that don’t use agile methodologies can get very tricky.  There are missed deadlines, buggy releases, upset customers, and things that you didn’t foresee. 

It is fair to say that managing projects of different sizes come with its own level of complexity and variables. Nevertheless, you can successfully execute projects by using the right methodologies and techniques available. Project management methodologies not only help you streamline the software development process but also enable effective time management and cost reduction.

An agile methodology is a project management process, mainly used for software development, where demands and solutions emerge through the collaborative work of self-organizing and cross-functional teams, and their users. Agile has multiple methodologies including Kanban, Scrum, XP, feature-driven development, etc. All these methodologies share the same principles behind the agile manifesto.

In this blog, we will focus on the most popular methodologies used in software development, highlighting the pros and cons and the recommended use cases for each one. After reading through this article, you should be able to decide which methodology is more fitting for project needs.


What is Kanban?

Kanban (Visual Signal – Card in Japanese) is a visual way to manage tasks and workflows, which utilizes a Kanban board with columns and cards. It is one of the most popular agile methodologies and helps you visualize your work for your own, and others’ understanding, and helps you keep everyone on the same page. To start with, you would need to build a Kanban board, then filling it with Kanban cards, and finally setting up a work progress limit. The cards represent tasks, and the columns organize those tasks by their progress or current stage in development.

Elements of Kanban that make it truly agile 

  • Visualize the workflow
    Capture your team’s high-level routine as a series of steps (If you are unsure, start with the steps Specify, Implement, and Validate).
  • Limit work in progress
    Implement a pull system on the workflow by setting maximum items per stage to ensure that a card is only “pulled” into the next step when there is capacity.
  • Feedback loop
    Run your daily standup at a set time each day, focusing on issues that block work from progressing (cards from moving between columns).
  • Manage the workflow
    This can be made achievable by managing workflow and monitoring performance on the go in order to fix obstacles as they occur.
  • Adapt to the process
    Track external input that is blocking implementation of a work item (such as a late or an unstable dependency) by documenting it in the implementation step. 
  • Improve collaboratively
    Work through a problem (as a team) more smoothly and effectively by having a shared understanding of your workflow and end goals.


  1. Kanban methodology is easy to understand.
  2. It maximizes the team’s efficiency.
  3. There are no set roles,  so there is flexibility in terms of individual responsibility. 
  4. There is less time spent in meetings like planning and retrospective meetings.
  5. Kanban has no mandatory requirements for estimation.
  6. Changes can be made to the backlog anytime.
  7. It reduces the time cycle of the process.


  1. An outdated Kanban board can lead to problems in the development process.
  2. The team can end up making the board overcomplicated.
  3. There can be a lack of timing as there are no given time frames for each phase.


What is Scrum?

Scrum is a highly prescriptive framework compared to Kanban. It’s included in one of the most notable agile methodologies and requires detailed and restrictive planning, has predefined processes and roles. It mainly focuses on team productivity and continuous feedback.

The Scrum framework is based on 3 pillars:

  1. Transparency
  2. Inspection
  3. Adaptation

The term is inspired by rugby, where a scrum is a formation of players. The term scrum was chosen because it emphasizes teamwork. And it is like the rugby players where players gather multiple times to check up on the project status. Once executed, the team players have to run in sprints to score a goal.

Scrum is a process to let the team commit to deliver a working product through iterative time-boxed sprints. This process is based on a specific set of roles, events, and artifacts.

scrum process - agile methodologies

Essential elements of a Scrum

Sprint planning 

Each team member helps set goals and the team has to produce at least one increment of software within 30 days or more.

Daily scrums

This meeting is held every day to discuss any problems the team is facing to avoid any delays in the project completion.

Sprint review

The sprint review is held at the end of each sprint to go over what was delivered, how it is delivered, and what was not delivered.

Sprint retrospective

This is an end-of-sprint session where everyone reflects on the sprint process, how it helped them and how can it be improved for the future.


  1. The methodology leads to team accountability.
  2. The team can plan what will be achieved and estimate when will be delivered. And can communicate this plan with other teams or any stakeholders.
  3. The team knows clearly the sprint goal and can resist any interference.
  4. Three is daily communication which leads to efficient problem-solving. 
  5. Continuous process improvement and retrospectives with lessons learned.


  1. Scrum team members require to be experienced and skilled individuals, lack of experience can slow down the scrum process and obstacles can occur. 
  2. The scrum team requires a committed team. If even one team member lags, it can cause a lot of damage to the process. 
  3. A less experienced scrum master can ruin the whole process of development.
  4. If a task is not defined accurately then the entire project can be lead to inaccuracies.

Scrumban: Going agile with a hybrid approach

Scrumban, like the name suggests, is a hybrid of the Scrum and Kanban agile methodologies, which gives teams the flexibility to adapt to the needs of the stakeholders without feeling overburdened by meetings and without giving estimates. It provides the structure of Scrum with the flexibility of visualization of Kanban.

Scrubman can be divided into 7 stages. Here is a step-by-step guide to developing a Scrumban framework for your team.

Step 1: Visualization of work

Create a Scrumban board to get a full picture of your workflow. It is similar to a Kanban board and you will be using it as your primary workflow tool. Add as many columns to your Scrumban board as your team needs to mark each discrete phase of progress.

scrumban board for visualization of work

Step 2: Stop Early Binding

Don’t assign work to a specific team member as part of backlog refinement or sprint planning. 

stop early binding - scrumban board

Step 3: Impose Work-In-Progress (WIP) limits

WIP limits to column enable the Kanban Pull System. Before each iteration or sprint, the team creates a WIP (work in progress) list of items from the backlog. These are the requirements they want to accomplish in the upcoming iteration. 

Step 4: Pull instead of Push
Stuff from Left to Right should be pulled; don’t Push. If needed add extra buffer columns for your convenience.

pull instead of push - agile methodologies

Step 5: Ordering is important
Prioritise the stuff in your backlog. Or add an additional step like ‘Ready’, if needed.

Step 6: No estimations
Kanban doesn’t have estimations; this means no story points, no planning poker.

Step 7: No predefined planning
Planning is done based on triggers instead of being pre-defined, weekly, or bi-weekly. When to-do reaches a threshold, planning becomes essential.  

no predefined planning - agile methodologies


Both Kanban and Scrum were created to help teams to increase their efficiency and productivity. The development teams at VentureDive leverage these methods, and are counted as one of the top tech talents in the IT industry. Explore our tech talent outsourcing services to learn more.

Picking between the two (Scrum and Kanban), however, depends on the team, as they can determine the best method or framework that would increase their team’s productivity and save time. 

In a nutshell, Scrum is an agile process that allows the team to focus on delivering the business value in the shortest time possible. Whereas, Kanban is a visual system for managing software development work. With the Kanban method, there is continuous improvement, productivity, and efficiency. Scrum is centered on the backlog while Kanban revolves around the dashboard. The scrum master acts as a problem solver. Kanban encourages every team member to be a leader and promotes sharing responsibility amongst them all. Scrum advises time-boxed iterations whereas, Kanban focuses on outlining a different duration for individual iterations. In the end, the team members should carefully observe all the available methodologies and decide which seems likely to meet their needs. 

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