DevOps isn’t a sprint, it’s a marathon without a finish line in sight. Developers and IT teams join forces throughout the product life cycle, even in production, to achieve and maintain high-quality software that users love. It’s simple, and it works. In fact, according to Statista, DevOps/DevSecOps is the most practiced software development methodology globally, used by 35.9% of software development teams.
Debugging is an unavoidable part of software development, especially in production. You can often find yourself in “debugging hell,” where an enormous amount of debugging consumes all your time and keeps the project from progressing. According to a report by the University of Cambridge, programmers spend almost 50% of their time debugging. So how can we make production debugging more effective and less time-consuming?
Kubernetes is one of the most well-known open-source systems for automating and scaling containerized applications. Usually, you declare the state of the desired environment, and the system will work to keep that state stable. To make changes “on the fly,” you must engage with the Kubernetes API.
HTTP is the backbone of all API-centric, modern web apps. APIs are the place where the core business logic of an application lives. As a result, developers spend a lot of time optimizing the API business logic. This article addresses a Node.js developer’s dilemma while debugging an HTTP API request. We take a sample Node.js/Express.js-based HTTP service to demonstrate a new way of debugging Node.js applications using the Lightrun observability platform.
A logging framework is a software tool that helps developers output diagnostic information during the execution of a program. This information is used to debug the program or monitor its performance. There are many different logging frameworks available, starting with simple logging libraries to full-fledged logging and observability platforms.
Logs are key to monitoring the performance of your applications. Kubernetes offers a command line tool for interacting with the control plane of a Kubernetes cluster called Kubectl. This tool allows debugging, monitoring, and, most importantly, logging capabilities. There are many great tools for SREs. However, Kubernetes supports Site Reliability Engineering principles through its capacity to standardize the definition, architecture, and orchestration of containerized applications.
Kubernetes is the most popular container orchestration tool for cloud-based web development. According to Statista, more than 50% of organizations used Kubernetes in 2021. This may not surprise you, as the orchestration tool provides some fantastic features to attract developers. DaemonSet is one of the highlighted features of Kubernetes, and it helps developers to improve cluster performance and reliability.
There have been amazing articles on the subjects of migrating from a monolith to a microservice architecture e.g. this is probably one of the better examples. The benefits and drawbacks of the architectures should be pretty clear. I want to talk about something else though: the strategy. We build monoliths since they are easier to get started with. Microservices usually rise out of necessity when our system is already in production.
The Spring framework is a robust server-side framework for modern Java-based enterprise applications. Since its introduction in 2003, its advantages have made it one of the most dominant server-side frameworks among many organizations. According to a research study by Snyk in 2020 on the usage of the server-side web frameworks, 50% of the respondents have said they use Spring Boot, and 31% of the respondents use Spring MVC.
Many DevOps teams struggle to achieve consistent builds and releases due to ineffective collaboration and communication strategies. Over 71% of software teams today are working remotely from global locations, according to a survey by Perforce and DevOps.com. Interestingly, this consistency challenge can be easily solved by a simple approach – database version control.
