Operations | Monitoring | ITSM | DevOps | Cloud

Log files are infamous for being “noisy”. Without the right management solution, trying to find a specific piece of information or using them to reproduce a critical error is a complex undertaking. If you’re working with CI/CD, how do you attribute new errors to a particular release? How do you investigate those errors and make sure that your customers aren’t being impacted? Faster releases mean shorter development and testing cycles before new code reaches production.

Digital experience monitoring is only effective if incidents are detected immediately and the data aids in quick root cause analysis and resolution. To track the availability, reachability, performance, and reliability of each component in the application delivery chain, different teams within an organization, use multiple tools. Each of these tools generate huge volumes of data that can make it difficult to gain any meaningful insight or even to correlate relevant KPIs.

Kubernetes has become the de-facto industry standard for container orchestration. It provides the required abstraction for efficiently managing large-scale containerized applications with declarative configurations, an easy deployment mechanism, and both scaling and self-healing capabilities.

The cost of logging is one of the big problems of a scaled software system. Logging solutions now need to support far more than they ever have. You need to make a real investment in a logging solution that can support these initiatives. However, the up-front costs of a custom-built logging solution are prohibitive for many organizations. No business wants its bottom line affected by logging costs. That’s where Coralogix comes in.

In two previous posts, we covered structuring data with grok and building custom grok patterns. But what happens if you just can’t get your grok patterns to work? In this article, we’re going to use Kibana’s Grok Debugger to help us debug a broken grok pattern. The divide-and-conquer method described below should help you to quickly find the reason that a given grok pattern is not matching your data.

What’s the buzz around AIOps? According to Gartner, “AIOps is the application of machine learning (ML) and data science to IT operations problems.” Though the terms AI and ML conjure images of almost magical capabilities, devoid of connection to the domain in which it’s applied, actually the reality is far different.

Open source contributions are foundational to Elastic — from Elasticsearch’s Apache Lucene core to the addition of open source Logstash and Kibana to form the Elastic Stack you’ve come to know and love. Over the years, the Elastic community has created over 90 Beats, shared use case tutorials like those from Volvo, T-Mobile, and Microsoft, and presented at hundreds upon hundreds of meetups.

Kubernetes is a container orchestration tool, but its functionality extends far beyond just orchestrating containers in a narrow sense. It offers a range of additional features that—to a limited extent—address needs such as load balancing, access control, security policy enforcement, and even logging and monitoring. Indeed, Kubernetes’s broad functionality has led some folks to call it an “operating system” in its own right.