This blog post is about testing microservices and distributed systems with JMeter. It will focus on the principles of performance testing applications that are architected this way. We will not look at which JMeter samplers to use in order to generate a load against microservices or how to configure these samplers. This post will consider best practise and consideration in designing your performance testing when faced with these applications.

An API’s main purpose is to allow multiple applications to communicate with one another. However, APIs can easily be made more secure and efficient through API gateways which provide a unified entry point across internal APIs. This unified entry point allows for greater control over user access and helps elevate API security measures like rate limiting while also applying security policies like OAuth or JWT. Plus, API gateways are extremely beneficial for securing microservices.

The acceleration of microservices and containerized workloads has revolutionized software delivery at scale. However, these distributed architectures also introduce significant complexity around networking, security, and observability. As development teams grappled with reliability and governance issues, the service mesh pattern emerged to simplify management.

Microservices architecture has gained significant traction due to its ability to break down monolithic applications into smaller, independently deployable services. However, the benefits have often been lop-sided. While backend developers have realized numerous advantages, frontend adoption has been held back by tight coupling, slow development cycles and scalability issues. Microfrontends have emerged as a solution to these challenges by applying microservices principles to the frontend.

Microservices architecture has emerged as a popular approach for developing software applications in recent years. Instead of building monolithic applications, microservices architecture involves breaking down an application into smaller, independent services that can be developed, deployed, and scaled independently. This approach offers a number of benefits, including increased flexibility, better scalability, and improved fault tolerance.

Building a microservices-based application requires a wide range of tools and technologies. Since these tools/technologies work together like a multi-faceted puzzle, it’s difficult for a beginner to understand what they are and why they’re necessary. The goal of this guide is to provide an accessible introduction to each of these essential concepts – all in one place.

Microservices are increasingly used in the development world as developers work to create larger, more complex applications that are better developed and managed as a combination of smaller services that work cohesively together for more extensive, application-wide functionality. Tools such as Service Fabric are rising to meet the need to think about and build apps using a piece-by-piece methodology that is, frankly, less mind-boggling than considering the whole of the application at once.

In the dynamic realm of technology, how we conceive, construct, and uphold applications exerts a significant influence on their scalability, ease of maintenance, and ultimate prosperity. Throughout this blog, we will embark on an expedition through the evolutionary trajectory of software architecture.

API as a Service (APIaaS) streamlines the creation and management of APIs in a cloud-based environment. If your enterprise is planning a digital transformation strategy or in the process of migrating to the cloud, you’ve probably heard the terms “microservices” and “APIs.” However, as common as these words are, few people actually understand them unless they’re working as developers. To clear the confusion once and for all, we wrote this guide.

It is important, more now than ever, to understand the different architectural approaches available to build robust and scalable systems. Two popular concepts that often find themselves at odds are Microservices vs. Monolithic architectures. These approaches offer distinct advantages and trade-offs, making it important to compare them and determine which one suits your organization’s specific needs.