Welcome to the world of DevOps Orchestration Tools! As technology advances, we live in a world that moves faster than ever. Upon initial exposure to DevOps Orchestration Tools, you may have questions. Although some may already be familiar with certain aspects, it is essential to look over what DevOps is, why it is necessary, the contexts in which it is utilized, the most used tools, and how it works. This blog provides a complete view of the top 10 DevOps Orchestration Tools. Table Of Contents.

Testing in production carries a lot of risk, like possibly causing downtime for users. However, the advantages of using real user traffic are many, which has led to the popularity of traffic mirroring. Mirroring can be implemented as part of pre-deployment testing, as well as other parts of the developer experience like the development itself. But, how do you get started with it?

Instrumentation is an essential part of monitoring and operating an application, especially for apps heavily used in production. Even in today's everchanging technology landscape, visibility and observability still challenge developers and system administrators. Metrics and logging are essential for monitoring and operating an application. Metrics measure an application's performance and system health, while logging records system health and application state.

If you’ve got an agile team interested in shipping fast without breaking things, this post is for you. In this piece, I’m going to explain how we at Rainforest QA approach automated testing in a continuous integration / continuous delivery (CI/CD) pipeline, with a focus on end-to-end (e2e) functional testing. The aim of our testing and other DevOps methodologies is to maintain a healthy balance between speed and product quality.

Game engines are an essential part of the game development process. But which one should you use? Here, we cover what the most popular game engines are and how to use them. Follow along or jump to the section that interests you the most. ➡️ Essential Game Dev Software — Free.

This Eckerson Group report gives you a good understanding of how the Unravel platform addresses multiple categories of data observability—application/pipeline performance, cluster/platform performance, data quality, and, most significant, FinOps cost governance—with automation and AI-driven recommendations.

As we move past the stage where automation is no longer the concern, intelligence is at the front seat, being the driving force of technology in almost every space. With lines of codes that are being thought upon, strategized upon, and then implemented, viruses, and bugs, are no Bueno. Since the world is moving more towards online communities than physical ones, these bugs and viruses create havoc and disorient business functioning.

Today, CI/CD tools have become an inherent aspect of DevOps testing. There are various CI/CD tools available in the market, and finding the right one could be tedious. However, only a few CI/CD tools offer the entire continuous integration and deployment system. Leading among those few are CircleCI and Travis CI. To assist you in selecting the best CI/CD solutions, we present an in-depth CircleCI vs Travis CI comparison.

Analytics engineer is the latest role that combines the technical skills of a data engineer with the business knowledge of a data analyst. They are typically coding in SQL, building dbt data models, and automating data pipelines. You could say they own the steps between data ingestion and orchestration. Whether you are a seasoned analytics engineer or new to the field, it’s important to continually learn new things and improve the work you’ve already done.