One of the most important things that customers consider while purchasing a product or service is its credibility. A label that states the product has been tested, analyzed, and certified by an international regulatory body reassures a customer’s purchase decision. This is why organizations today strive to get themselves bench marked, differentiated, and validated. For this, they seek out regulatory bodies that develop and publish international standards.

We’re into the third and last week of GrafanaCONline! We hope you’re able to check out all of our great online sessions. If you didn’t get a chance to watch yesterday’s sessions (or want to see them again), here’s a recap of day 9 of the conference.

Behind every part of Grafana, there are the ideas, creativity and commitment of the people who made it. While that includes code, it is not limited to it. Since August 2019, Grafana Labs has had a dedicated UX team, and we have been involved in countless recent features and improvements. We want to show you how we do our work, why you users are at the heart of everything we do – and most importantly, how design changes can make software better.

Be it be on-premise or in Azure, monitoring your resources is extremely important. While the popular monitoring tool to use on premise remains to be SCOM, many organizations with a presence in the cloud have started to explore Azure Monitor to fulfil their monitoring needs in Azure. Recently, we discussed Azure Monitor and its capabilities extensively in our Azure Monitor Learning Path blog series.

Can you be incompetent and still stay in business? Not as far as your web infrastructure is concerned. All the studies show that when a website is unavailable, or even just slow to load, customers go elsewhere—and often they don’t come back. After all, if you can’t keep a website up and running, why should people trust you to deliver any other product or service? So it’s worth asking: how reliable is your website relative to the top brands in your industry?

Editor’s note: This is a follow up to a recent post on how to use Cloud Logging with containerized applications running in Google Kubernetes Engine. In this post, we’ll focus on how DevOps teams can use Cloud Monitoring and Logging to find issues quickly. Running containerized apps on Google Kubernetes Engine (GKE) is a way for a DevOps team to focus on developing apps, rather than on the operational tasks required to run a secure, scalable and highly available Kubernetes cluster.

Most business verticals are now digitized. Consumers prefer online shopping, rather than going to a store. Within a few clicks, you can purchase any item of your choice and get it delivered to your doorstep. One of the key reasons for online businesses gaining popularity is their time-saving nature. So, the main goal of any website should be to deliver the best end-user experience.

Icinga Web 2 and all its modules have been localized from the very beginning. There were also quite a few languages added. Just recently Icinga Web 2 and the Director got a Japanese locale! And a updated Russian as well as a new Spanish (Argentina) locale are in the works at the moment. Over the years our Saudi Arabian, German, Finnish, Italian, Japanese, Brazilian, Russian and Ukrainian users were able to experience Icinga Web 2 and some of its modules in their native tongue.

We recently wrote about whether API Gateway can act as a Load Balancer. The answer is yes and, in many cases, they are substitutes for each other. But how should we choose which one to use? In this article, we will dive into more details on how these two types of HTTP networking services compare, using the AWS services as a base level: API Gateway and Application Load Balancer (ALB). Both are highly-scalable services to a point that scalability should not be a concern for most use cases.

Alert management is no longer a manageable task, given the growth in applications, cloud environments and point monitoring tools. Too much time is spent filtering and making sense of alert data and determining where to route incidents. All of these steps slow down critical issue identification and resolution. In this article, I want to discuss a more sensible, modern way to deal with IT alerts, through machine learning intelligence and automation.