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The Future of Microservices

4 Min Read

Vyom Srivastava

Microservice is an architectural and structural approach to build an application that can scale with the demand. The microservices are loosely coupled and distributed systems in nature so one failure in the system will not affect the other systems or even the entire application.

Each function can be called as a service which can be developed and deployed independently. Which means each service can function and fail without breaking the other services in the network. This helps in the promotion of technological aspects of DevOps and make it more seamless and independent with the help of CICD.

In a monolithic architecture, everything is dependent on each other or you can say business layer, data layer and UI are interdependent on each other for the feedback. So even if the business layer breaks, then the data layer and UI will also stop working.

Let us take an example of an ecommerce website. You visit a shopping website, you searched for a product, it lists all the products and also shows you the recommended products. You add it to the cart and make the payment.

Here you see, everything is divided in to services:

  • Search bar of the website
  • Listing of the products
  • Related products
  • Cart
  • Payment Processor

All of the above are microservices and can be executed independently.

Cloud Adaption

Developers will increasingly move far away from locally hosted applications and shift into the cloud. Cloud vendors are following this microservices trend, offering all the tooling to create cloud applications natively. Microsoft can even directly integrate tooling with its own programming languages. Cloud adoption will allow companies to implement working service buses that really manage the functionality.

Many organizations are transforming from a standard to a digital model of business and are employing a hybrid cloud a mixture of a public cloud provider with a personal cloud. Additionally , enterprises will use big data analytics to realize better business insights and consider hybrid cloud services to form significant cost savings operations.

High microservice market growth

Research and Markets forecast the worldwide cloud microservices market will grow at a rate of 22.5 percent, with the U.S. market projected to take care of a rate of growth of 27.4 percent. Companies recognize that the advantages of the microservice architecture and adoption of hybrid cloud across various end-user industries are major factors influencing growth within the microservice market.

Microservices allows a development team to implement a replacement feature or make changes without having to rewrite an outsized portion of the prevailing codebase. As for scalability, the independence of microservices makes it easier for an app to grow and alter with increased demand.

Observability Tools

An important and relevant factor which will affect the longer term of microservices is observability when the appliance is meant to show information about its performance and availability. Observability tools allow app support to trace all system calls and repair interactions within the case of a failure, to work out where things went wrong. Application teams got to get that data to unravel problems. Most companies recognize how important observability is for distributed, microservices-based architectures.

IT organizations will enjoy microservices if they determine the simplest thanks to implement observability to support their business needs. Developers should identify the proper strategy to implement observability tools without creating performance problems. IT organizations will get ahead with microservices if they find out the way to best implement observability.

Frameworks for Microservices

In 2020, developers can expect the simplest microservices testing framework to evolve for web services as microservices will make them faster, lighter, and easier to develop. Software developers are going to be ready to use a framework for web services as microservices still evolve and offer development out-of-the-box capabilities and implementation of the service design patterns and code automatically.

Some Python frameworks to build microservices:

  • Flask – Most popular Python Micro framework based on Jinja2 and Werkzeug
  • Falcom – Create smart proxies, cloud APIs and app back-ends
  • Bottle – Simple, lightweight and fast WSGI micro framework
  • Nameko – Best among the Python Microservices frameworks that allows developers to concentrate on application logic
  • CherryPy – Mature, Python object-oriented web framework

Increased demand to update applications

In response to user demands for interactive, rich, and dynamic experiences on various platforms, many organizations got to update their applications frequently, sometimes several times each day . Microservices can support frequency demand. Plus, microservers provide scalability and agility to the applications having high availability, scalability, and easy-to-execute on the cloud platforms.

A Charter Global client converted its monolithic applications to a microservices design that used open source products for cost efficiency. The client experienced several benefits of the new microservices design.

Serverless architecture

Serverless architecture, with certain offerings from different cloud providers, doesn't seem too far. as an example , AWS has a fantastic feature named Lambda function. Typically how it works may be a bunch of code stays in your S3 environment as a zipper file. Whenever a selected event is triggered, a replacement instance is made with predefined parameters. This particular piece of code is copied from a specified location to the new instance, and this code starts running. After finishing its job, the instance are going to be pack up again. With service discovery patterns, this whole concept becomes very interesting. during this sort of environment, services are going to be arising and down as per demand. Each new upcoming service are going to be registering itself and deregistering itself on taking place , and it uses discovery protocol to seek out the service with which it must communicate.

The above-mentioned architecture doesn't give the entire solution for serverless architecture, as an example , it doesn't explain the versioning of services, the way to affect latency time, which new on-demand services fancy arising for a replacement HTTP request, and so on. The bootup time of the instance and services are going to be crucial during this scenario. Evolving of those sorts of components like Lambda from cloud providers can cause future to serverless components. The developer are going to be that specialize in the event of the business component. DevOps work are going to be lesser during this case.

Microservices as PaaS

Microservice as PaaS are often another future direction. Microservices are going to be delivered as Platform as a service (PaaS). With containers like packer or Docker in situ , this also seems to be feasible. during this scenario, microservice are going to be shipping with frameworks that do most of the monitoring, logging, and registering a service mechanism, common library, load balancing, versioning, and similar quite features in itself. Containers are in situ leading microservices in somewhat of an equivalent direction. they will be seen as a framework, coming with all the monitoring, logging then on already in themselves. Developers need to worry less about for all that stuff.

As containers become more mature and cloud components evolve, we will see the merging of both directions into one within the end of the day .

CONTENT
Cloud AdaptionHigh microservice market growthObservability ToolsFrameworks for MicroservicesIncreased demand to update applicationsServerless architectureMicroservices as PaaS

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