Operations | Monitoring | ITSM | DevOps | Cloud

A major goal of DevOps is task and process automation. While total automation is possible to a large extent, DevOps engineers can’t just run a process and then leave it. They need to quickly react in the event of downtime and incidents. Usually, it’s important to react as fast as possible because downtime for even a few minutes can cost from $2,300 to $9,000 according to the Ponemon Institute in 2016 and a 14-hour outrage cost Facebook an estimated $90 million in March 2019.

Microsoft Azure has been growing rapidly from the past couple of years and many new advancements have been done to increase the productivity of the users. Microsoft has also been constantly working on different monitoring capabilities to keep the users well informed about the status and availability of their resources. One such resource is the Azure service health which notifies the user about the availability and health status of each resource in different Azure regions.

Version 2.0 of the HAProxy Data Plane API brings some exciting enhancements that unlock the power of HAProxy’s flexible configuration and its runtime capabilities. The HAProxy Data Plane API, which lets you manage your HAProxy configuration dynamically using HTTP RESTful commands, has marked a major milestone with the release of version 2.0. This release emphasizes the runtime aspects of HAProxy, giving you the ability to manage map files, stick tables, peers, DNS resolvers and more.

Go Module vulnerabilities frustrate the lives of many Go developers and can turn a simple project into a battle of endurance between the dev and their patience. With the process of CI/CD shifting left more and more, it’s becoming even more pertinent for developers to be able to track and report vulnerabilities as early as possible. JFrog GoCenter can help track and mitigate vulnerabilities and make the lives of Go developers easier.

Ever since the beginning of the COVID-19 pandemic and the resulting lockdowns, working from home has instantly become the primary way of work for most people. Even companies that already had functionality in place to work from home were instantly hit by scalability issues. Many of the existing solutions typically weren’t meant to be used for a 100% concurrent remote workforce.

The move to a more hybrid and distributed application architecture has pushed cloud providers to offer higher availability. Availability has become the key differentiator among competitors. The focus on offering higher and higher availability comes at the cost of other vital performance factors such as service reliability. This blog discusses some of the important takeaways from our recent on-demand webcast on improving service reliability.