Operations | Monitoring | ITSM | DevOps | Cloud

Virtualisation plays a huge role in almost all of today’s fastest-growing software-based industries. It is the foundation for most cloud computing, the go-to methodology for cross-platform development, and has made its way all the way to ‘the edge’; the eponymous IoT. This article is the first in a series where we explain what virtualisation is and how it works. Here, we start with the broad strokes.

Companies worldwide these days make use of DevOps with a view to attain better profit and progress. Despite its increased use, DevOps can lead to higher risks if not properly handled. There should be an integration of security and development process form the beginning in order to have a risk-free progress. The entire organization will be at risk if proper security check is not practiced in each stage, as cyberattacks are increasing each day.

Monitoring systems help DevOps teams detect and solve performance issues faster. With Docker and Kubernetes steadily on the rise, it’s important to get container monitoring and log management right from the start. This is no easy feat. Monitoring Docker containers is very complex. Developing a strategy and building an appropriate monitoring system is not simple at all.

Applications fail. Containers crash. It’s a fact of life that SRE and DevOps teams know all too well. To help navigate life’s hiccups, we’ve previously shared how to debug applications running on Google Kubernetes Engine (GKE). We’ve also updated the GKE dashboard with new easier-to-use troubleshooting flows. Today, we go one step further and show you how you can use these flows to quickly find and resolve issues in your applications and infrastructure.

People sometimes think that implementing Site Reliability Engineering (or DevOps for that matter) will magically make everything better. Just sprinkle a little bit of SRE fairy dust on your organization and your services will be more reliable, more profitable, and your IT, product and engineering teams will be happy. It’s easy to see why people think this way. Some of the world’s most reliable and scalable services run with the help of an SRE team, Google being the prime example.