Openshift: Managing Large Data Sets By Scaling Microservices

It’s 2022 and companies are already over-dependent on the large data sets they collect. You will indeed witness a huge leap over the dependency on data year after year. No matter whether the data is useful in churning business for your organization, one cannot deny the complexity of managing high volume. So, how would you tackle the challenge of Big Data in the current scenario? Don’t scratch your head, Ksolves India Limited has got things covered for you with an enterprise-based Microservices Architecture Solution. However, before diving into that, let’s get the surrounding air cleared.

Problems In Managing Large Data Sets

Having evolved from Monolithic Architecture, Microservice-based systems are often preferred to manage the challenge of Big Data. And, why not so? Distributed Systems are resilient, scalable, fast, and easily shareable. However, when we talk about large data sets, there are multiple problems and challenges in traditional Distributed Systems. Some of these issues can be listed as:

• Scalability

Scalability issue arises when you need to redesign the entire program to manage the increased workload. Ideally, a Microservice-based approach should continue to perform with the same intensity regardless of the increase in volume or availability across the geographical locations. However, numerous cases suggest the three factors are responsible for lack of communication and overloading.

• Failure Handling

Distributed systems are a combination of multiple networked computers working together to achieve a single goal. The involvement of multiple nodes makes a distributed system vulnerable to failures. Failures can occur in any facet of the system, be it hardware, software, or network.

• Security

Distributing messages on different networks can raise security concerns for your organization while sharing data information like payments and passwords. A small leakage in the funnel can break the confidentiality of the entire system.

With these problems and many others waiting in the ranks, Ksolves would like to dig deeper into Microservices Architecture.

Introduction to Microservices Development

As the name suggests, Microservices Development is an architectural style where development is segregated into small and lightweight services with their functions for a single-end task.

Now, deploying a single code on different servers can be another challenge that comes through during the entire Microservices Architecture. To enable the full power of Microservices, we need to containerize the service to ease the management and deployment. That’s when Docker gets introduced into the picture which converts services into images and eases the process of deployment.

Even after containerizing the services, scaling can still be a huge issue when the load is not determined or it can vary all the way. This is where container orchestration comes into the picture with Kubernetes.

When you wrap the entire process with enterprise support and throw in some additional features, what you will get is called OpenShift by RedHat.

Why Choose Microservices Development?

As we get deeper into Microservices, you need to understand how they can benefit your organization. Apart from that, what are the advantages of Microservices for your business?

Advantages Of Microservices

• Management Fluency

Since Microservices is all about distributing tasks amongst different services, management can be an issue. However, it’s not! Microservices make infrastructural management fluent with smooth service allocations throughout the nodes.

• Rapid Release

As a business, you want to satisfy your customers at all costs. And, what can be more satisfying than the time-efficient release of an application? Microservices make no mistake when it comes to time management and deliver the output within the structured time frame. Individual services in a Microservice setup are easier to make changes, test, and deploy.

• Cost-Efficient

Starting with Kubernetes, many cloud-native tools are open-source and allow customizations. When used in the development process, the overall cost will definitely save you bucks.

• Reliable 

The best part of using Microservices Architecture is that all the nodes are independent of each other. Therefore, one node failure will not impact the other. Additionally, the Microservices Architecture using technologies like Kubernetes becomes fault-tolerant and self-healing which makes it reliable for you.

Going through all the advantages of Microservices, you can judge their importance for your business. With that being covered, let’s move to scale Microservices for large data sets.

Scaling Data-Driven Microservices

As we discussed earlier, businesses ranging from eCommerce to Fintech and further to IT and Healthcare and in between collects bundles of data for valuable insights. Now, to manage the never-ending rise in data sets and get the best out of it, you require to scale your Microservices Architecture. Scaling Microservices on Kubernetes can be done through these methods: 

• Vertically scaling

A resource level scaling where users are redirected to additional servers to distribute the load. In other words, vertical scaling of Microservices Architecture adds power to the machine to make it withstand the load.

Take An Example – Online streaming platforms have millions of users entering their applications in a day. You can imagine the volume of traffic at every instance, hence the load increases. This is where a software solution company like Ksolves India Limited can help them create multiple servers and redirect the users to another server for load balancing.

• Horizontally scaling

When it comes to horizontal scaling, in place of increasing the servers, we tend to increase the Virtual Machines themselves assigned for individual tasks. The size of Virtual Machines remains the same but the load is distributed amongst multiple machines, which are added during the scaling process.

Take An Example – Banks tend to receive heavy data sets during the end of every Fiscal year. In order to save time and balance the load, horizontal scaling is the best option to go forward with.

• Business-Level Scaling

Also known as Z-axis scaling, this type of scaling is more toward business requirements and is more complex than Horizontal and Vertical scaling.

Take An Example – Creating an API for each service and functioning redirections as and when required.

Note: Openshift doesn’t support or encourage Vertical Scaling. Therefore, with the enterprise support of RedHat, you have got to choose between the rest two.

Achievement In The End

Managing large data sets is never an easy task, but a perfect mix of the right approach and requirements-based solution can make things easy for you. Scaling Microservices to tackle the challenges of Big Data brings out fruitful results, some of these results are:

• Load Distribution – An increase in server load can impact the output of your application, this is where Scaling Microservices can easily distribute the load and bring out positive results.
• Performance – When services are interdependent on each other, they might hinder the performance of the application. Loose Coupling through proper scaled software will surely enhance the performance of your application.
• Cost – Fewer problems mean less maintenance. Scaling Microservices will bring down your server’s maintenance cost.

Getting It Done By Ksolves

How Ksolves Helped A Client Handling 10 Million User Base

Read More ->

The best part of getting a full-fledged Microservices Architecture Solution from NSE Listed and CMMI Level 3 Certified Ksolves India Limited is the vast experience we have in the field. Having delivered some complicated projects to meet the requirement of customers, Ksolves understands the technology and excels in it.

Frequently Asked Questions(FAQ)

1. What’s the trend of industries while Scaling Microservices?

Ans. Considering the demand for enhanced reliability and resource utilization, the trend is more inclined toward Horizontal Scaling. However, the combination of both Horizontal and Vertical always comes with added benefits.

2. What are the factors to consider when Microservices Architecture is scalable?

Ans. Keeping the perspective of the end-user as the first priority and the performance of the application as the second, a decision can be made whether to scale Microservices or not.

3. What is fault tolerance in Microservices?

Ans. This property of Microservices ensures the proper functioning of the system even after component failures.