Did you know you can deploy Tetragon and parse high-volume logs with Cribl Edge? It’s true! Tetragon integrates seamlessly with Cribl Edge. This combination enhances monitoring capabilities in Linux environments. Have your cake and eat it, too. With a combined Cribl and Isovalent solution, you can deliver deep insights into your workloads, optimizing for your specific operational requirements with zero loss of data fidelity.

Observability Pipelines have become vital tools for DevOps and Security teams to manage, control, store, route, and optimize telemetry data analyzed by Security Information and Event Management (SIEM), Application Performance Monitoring (APM), and Log management platforms. These teams spend hours every week trying to fit an increasingly large volume of data into the same size box.

Observability strategies are needed to ensure stable and performant applications, especially when complex distributed environments back them. Large volumes of observability data are collected to support automatic insights into these areas of applications. Logs, metrics, and traces are the three pillars of observability that feed these insights. Security data is often isolated instead of combined with data collected by existing observability tools.

A while ago, we posted a blog that detailed how we imported over 4 billion chess games with speed using Python and optimized the code leveraging our Universal ProfilingTM. This was based on Elastic Stack running on version 8.9. We are now on 8.12, and it is time to do a second part that shows how easy it is to observe compiled languages and how Elastic®’s Universal Profiling can help you determine the benefit of a rewrite, both from a cost and environmental friendliness angle.

Are you managing a Cribl environment? We love that for you; you’re at the forefront of complex data orchestration. As the steward of this dynamic data ecosystem, you have to manage and optimize the flow of information from diverse sources. As data volumes grow, the struggle gets even more real. No worries, though. You’ve got Cribl Stream. Monitoring Stream is critical.

The beauty of deploying SaaS-based applications is that you don’t have to worry about building the infrastructure, hiring engineers to maintain it, staying on top of upgrades or worry about application security. Indeed, these are some of the main benefits you get by using a SaaS offering. However, the world of software is full of trade-offs, so, what do you lose out on?

Performance optimization is crucial when developing user-centric applications. To achieve better performance, it is essential to maintain effective log management. Client-side (user) logging is vital in driving website traffic or increasing user engagement with your applications. After deploying an application or a web browser, client-side information, such as user behavior, events, and errors, is not stored by default.

Structured logging is a methodical approach to log management in software development, often utilizing JSON or key-value pairs. This method enhances the comprehensibility and analytical efficiency of log data, particularly in complex and distributed system environments. Unlike unstructured logs, which lack a defined format, structured logs adhere to a standardized layout, facilitating streamlined analysis and troubleshooting.

As a pivotal element within your networking configuration, logs generated by Network Firewalls hold immense importance from both security and compliance standpoints. These logs serve as a source of valuable information, encompassing records of network traffic details like source and destination IP addresses, ports, protocols, timestamps, and the actions (e.g., allowed or denied) taken by the firewall for each connection or packet.

With every major Splunk Enterprise release, we level up your dashboarding experience so that you can visualize and take action on your data fast. In Splunk Enterprise 9.2, we are bringing the experience across Classic (SimpleXML) dashboards and Dashboard Studio closer together and weaving in Dashboard Studio features from the two most recent Splunk Cloud Platform releases. This blog post covers the major dashboarding features included in Splunk Enterprise 9.2.