Operations | Monitoring | ITSM | DevOps | Cloud

Enterprises are increasingly adopting Kubernetes for the value that it brings to their organizations, from IT cost savings to improved time to market for application development. But with this shift comes a fundamental challenge: how to gain comprehensive visibility into your Kubernetes applications, when most existing monitoring tools are hard to scale or provide little or no visibility into Kubernetes? This challenge stems from two unique characteristics of Kubernetes. One, it is ephemeral.

Dish Network is on a mission to connect people and things by changing the way the world communicates. With products ranging from Dish and Sling TV to retail wireless services and 5G networks, monitoring their satellite communications equipment is mission critical to maintaining extreme uptime for Dish’s 20 million customers across the United States.

Status pages have become the end-users window into your team’s operations. Companies with status pages are doing the right thing for their users — building in some transparency while mitigating frustration and support contact. For the benefits of status pages to pay off, organizations need to treat them as something more than active wiki-pages run by support.

Observability is a mindset that lets you use data to answer questions about business processes. In short, collecting as much data as possible from the components of your business — including applications and key business metrics — then using an AI-powered tool to help consolidate and make sense of this huge volume of data gives you observability into your business. Having observability for your business and applications lets you make smarter decisions, faster.

Log tracking, trace log, or logging traces… Although these three terms are easy to interchange (the wordplay certainly doesn’t help!), compare tracing vs. logging, and you’ll find they are quite distinct. Logs, traces, and metrics are the three pillars of observability, and they all work together to measure application performance effectively. Let’s first understand what logging is.

With the release of Splunk 9.0 came support for SmartStore in Azure. Previously to achieve this, you’d have to use some form of S3-compliant broker API, but now we can use native Azure APIs. The addition of this capability means that Splunk now offers complete SmartStore support for all three of the big public cloud vendors. This blog will describe a little bit about how it works, and help you set it up yourself.

If you’re new to the concept or just trying to keep up with the conversation, Gartner defines Observability as the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. Some folks think that Observability is a new buzzword, but in fact the term was coined in 1960 by Rudolf E. Kalman, a Hungarian-American engineer.

Have you ever had a tough time debugging your Python code? If yes, learning how to set up logging in Python can help you streamline your debugging workflow. As a beginner programmer, you’ll have likely used the print() statement—to print out certain values across runs of your program—to check if the code is working as expected. Using print() statements to debug could work fine for smaller Python programs.