Operations | Monitoring | ITSM | DevOps | Cloud

We’re introducing AppScope 1.0 with a series of stories that demonstrate how AppScope changes the game for SREs and developers, as well as Infosec, DevSecOps, and ITOps practitioners. This blog is the second of two Infosec stories. For both Part 1 and Part 2, Randy Rinehart, Principal Product Security Engineer at Cribl, contributed extensively.

Let's start with the bottom line: When we upgraded to Elasticsearch 7.15 last year, our internal observability clusters saw a reduction in inter-node traffic from 464TB to 204.5TB per day. We monitored this reduction through subsequent upgrades and noticed its impact on our data transfer and storage costs. So here it is: upgrading saved Elastic $3,500 per day, or approximately $100,000 a month, or $1.2 million annually.

We've launched a feature that will help you fix errors and performance issues as a team! 🎉 With Logbook you get the full incident history. Read and leave team comments, see which notifications were sent at what time, and see team activity for changes in incident states. It's now easier than ever to see what the current state of an incident is.

The vast majority of corporate IT departments have a network monitoring solution. Typically that solution is built on standalone software platforms. If that’s you, this post is for you. You’re probably hearing a lot about “observability” these days. Generally, that’s the ability to answer any question and explore unknown or unexpected problems to deliver great digital experiences to your users.

At Grafana Labs, we’re continuing to expand our platform of Grafana Cloud integrations that make it easier than ever to connect and monitor external systems. These integrations enable you to answer the big picture questions in your organization and tell your observability story.

Tracking application-level and infrastructure-level metrics is part of what it takes to deliver software successfully. These metrics provide deep visibility into application environments, allowing teams to home in on performance issues that arise from within applications or infrastructure. What application and infrastructure metrics can’t deliver, however — at least not on their own — is breadth.

Inevitably, organizations that use technology (regardless of the extent) will have something, somewhere, go wrong. The key to a successful organization is to have the tools and processes in place to handle these incidents and get systems restored in a repeatable and reliable way in as little time as possible.

The Java programming language is simple to learn and use, and it is frequently used by web developers to create applications. However, monitoring the performance of a Java-based application might be difficult because it is not a simple process. Implementing multiple monitoring tools to track Java logs, metrics, infrastructure data, and other operational factors is necessary for troubleshooting inefficiencies.