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.

The principle of fail fast is either the best thing since the transistor or nothing but hot air. It depends on the size of your organization and the cohesiveness of your teams. If your team members have a strong working relationship, and dev is well integrated with everyday work company-wide, you already have a good foundation for this particular agile thinking. Most companies that have grown beyond startup-size, and even some startups, may find this idea a bit jarring.

Changes are both inevitable and necessary when you are running a business. As customer expectation and the market landscape keeps changing, you will have to take up the necessary measures to implement corresponding digital solutions and technology changes. But managing changes can be a tricky process. Some changes can be as simple as changing the folder organization in your data. But if you have not tracked it properly, you will soon run into confusing folder hierarchies and problems in data sharing.

Cloud Monitoring is one of the easiest ways you can gain visibility into the performance, availability, and health of your applications and infrastructure. Today, we’re excited to announce the lifting of three limits within Cloud Monitoring. First, the maximum number of projects that you can view together is now 375 (up from 100). Customers with 375 or fewer projects can view all their metrics at once, by putting all their projects within a single workspace.

Zoom leverage AWS’s global infrastructure, storage, content distribution, and security to deliver its service and store information securely in AWS data centers around the world. This means that when you’re looking to monitor your Zoom performance, it’s important to know how to identify which AWS data center location your Zoom application is using. Keep reading to find out how.

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.

2020 was indeed challenging for Kovai.co still had great learning! One of them is what I am sharing with the community through this blog. For enterprises like us, worldwide work from anywhere became the new reality. We had to move towards a cloud-native world where secure data storage and effective remote management of IT infrastructure were of supreme importance.