Operations | Monitoring | ITSM | DevOps | Cloud

Software development requires a lot of things to be highly optimized due to the sheer number of parts and the interconnected nature of those parts. Making your service seamless, efficient, and scalable requires tooling that is itself seamless, efficient, and scalable. As organizations have moved to adopting microservices and distributed cloud-native solutions, being able to effectively scale resources and the systems which operate upon those resources has been made even more critical.

Ensuring seamless data flow and robust application performance is crucial in modern networking and cloud computing. Traffic mirroring enables enhanced network observability, allows for effective troubleshooting, and facilitates the testing of new features without interrupting live traffic. It captures and replicates network traffic, providing a powerful solution for maintaining and optimizing network operations.

According to Akamai, 83% of web traffic is through APIs. Microservices, servers, and clients constantly communicate to exchange information. Even the Google search you made to reach this article involved your browser client calling Google APIs. Given APIs govern the internet, businesses rely on them heavily. API health is directly proportional to business prosperity. This article covers everything about API monitoring, so your API infrastructure’s health is always in check .

When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release. This involves testing the behavior of the application under load, measuring the performance metrics, and accounting for the resource consumption. All this is done to ensure that the application does not behave unexpectedly when being used by clients.

In this tutorial, you will learn how to work with the gRPC Golang library for microservice communication by creating a simple note-taking application. You will generate a gRPC client that is highly efficient and has a service implementation that handles a diverse range of request and response types. APIs and service-to-service communication are what make modern microservice architecture possible.

When making changes to your production services, it’s important to have a plan for how to detect problems and roll back changes. How many roll out plans would include: “if it breaks, don’t worry, the users will tell us!” But if your monitoring coverage of production services isn’t complete, you’re implicitly relying on your users to tell you when something breaks.

APIs have never had more connections and requests for data. With variable data types, changing programming languages, and a demand for high performance, even with an increased focus on authentication mechanisms and data security, it’s never been more critical to figure out the efficiency of your systems. Enter GraphQL and gRPC.

APIs might not always be in the spotlight, but they’re the unsung heroes of just about every modern software project. APIs make it possible for different apps, services, and platforms to talk to each other seamlessly. When an API falters, so does the entire system. That’s where REST API testing comes in. It’s not just a box to check off—it’s the key to making sure your services are dependable, secure, and prepared to handle the unexpected.

Performance tests, end-to-end tests, integration tests. There are many different types of tests you can run on your infrastructure. One of the most overlooked kinds is load testing. Failure to include load tests in your supply chain can be detrimental, as you will be missing out on a number of benefits. Some of the big advantages of load testing Kubernetes are.