The latest News and Information on Log Management, Log Analytics and related technologies.
Being alerted to an issue with your application before your customers experience undue interruption is a goal of every development and operations team. While methods for identifying problems exist in many forms, including uptime checks and application tracing, alerts on logs is a prominent method for issue detection. Previously, Cloud Logging only supported alerts on error logs and log-based metrics, but that was not robust enough for most application teams.
AIOps is a DevOps strategy that brings the power of machine learning to bear on observability and system management. It’s not surprising that an increasing number of companies are now adopting this approach. AIOps first came onto the scene in 2015 (coincidentally the same year as Coralogix) and has been gaining momentum for the past half-decade. In this post, we’ll talk about what AIOps is, and why a business might want to use it for their log analytics.
We’re thrilled to announce the release of the Splunk App for Content Packs, an app that acts as a one-stop shop for prepackaged content and out-of-the-box searches and dashboards for common IT infrastructure monitoring sources, making it easy to get up and running with Splunk for IT use cases. In the past, you may have had to install and manage individual apps like Splunk App for VMWare and Splunk App for Windows Infrastructure.
The pursuit of Digital Transformation and DevOps practices has led to several benefits such as increased deployment rates and better collaboration across teams. However, it has also led to endless abstraction, an increase in responsibilities, and many new tools (Kubernetes, hybrid-clouds and all their services, etc.). This increase in complexity has turned observability into an essential component of all ecosystems.