Operations | Monitoring | ITSM | DevOps | Cloud

I am super excited to announce that our Preview Environment feature is GA (Globally Available) for everyone 🥳.

In any enterprise, IT or otherwise, infrastructure monitoring and management are extremely crucial. A drop in performance or a failure of a machine can lead to significant delays. For that reason, there’s a constant need for eyes on the overall infrastructure to ensure smooth operations. One of the best ways to gauge the overall health of infrastructure is by monitoring key performance indicators (KPI).

Holiday season's peak traffic is the most challenging period for SREs and on-call engineers. In this blog, we have highlighted the things that SREs can do to make the holiday season less chaotic. The recently concluded Black Friday weekend could have potentially been the most challenging shift for on-call engineers working in the Retail or E-Commerce sector. Since such peak-traffic events push the system to the limits, engineering teams are engulfed in a lot of tension preparing for it.

What a difference a year makes. Each year, data center, lab, and edge sites become more complex, more distributed, and more difficult to manage. Managers must stay up to date on the latest trends and advancements in data center management best practices and technologies to maintain uptime, increase the efficiency of capacity utilization, and improve the productivity of people.

A fundamental requirement for building a profitable product is finding ways to reduce costs and improve efficiency. When you’re operating in the cloud, it’s almost impossible to gain this insight without data. This is where data-driven software development comes in. Data-driven development is a software engineering approach that relies on data to guide the development process.

A key goal for any DevOps team is to shorten the software development cycle and provide continuous delivery of high-quality software. Instead of continuing to the next logical goal, continuous deployment, most companies stop here. Developed code reaches the testing phase automatically, then, successful testing triggers a manual acceptance step. Only then is the application deployed into production.

Software is one of the most complex tools invented for practical use. One misplaced character can break an entire application. So, careful testing is an essential requirement before publishing any code. In this article, you will learn about two fundamental types of software testing, unit testing and integration testing, and how your team can implement them in your CI/CD pipelines to validate your code quickly and deliver new features to your users with confidence.