Operations | Monitoring | ITSM | DevOps | Cloud

Analytics

Handling Multiline Stack Traces with Logstash

Here at Sematext we use Java and rely on Logsene, our hosted ELK logging SaaS, a lot. We like them so much that we regularly share our logging experience with everyone and help others with logging, especially, ELK stack. Centralized logging plays nice with Java (and anything else that can write pretty logs). However, there is one tricky thing that can be hard to get right: properly capturing exception stack traces.

Intrinsic vs Meta Tags: What's the Difference and Why Does it Matter?

Tag-based metrics are typically used by IT operations and DevOps teams to make it easier to design and scale their systems. Tags help you to make sense of metrics by allowing you to filter on things like host, cluster, services, etc. However, knowing which tags to use, and when, can be confusing. For instance, have you ever wondered about the difference between intrinsic tags (or dimensions) and meta tags with respect to custom application metrics? If so, you’re not alone.

The Future of DevOps Observability: The Evolution of Logging, Monitoring and Metrics

LogDNA is uniquely positioned to have enabled thousands of customers to gain deep insights into their DevOps infrastructure. As the industry has shifted to microservices and Kubernetes we have helped our customers migrate and deploy world-class infrastructure. Based on our experience we see three main pillars when it comes to the future of DevOps: Monitoring, Analytics, and Logging.

NIF, World's Largest Laser and Splunk

When you work with the world’s largest laser, you need secure and reliable IT Infrastructure. The National Ignition Facility uses Splunk Enterprise and Splunk IT Service Intelligence (ITSI) to improve control systems reliability, maximize system uptime and performance and proactively monitor and respond to IT and security challenges.

Analyzing Streaming & Digital TV Audiences: Elastic @ OzTAM

Oztam provides solutions to broadcasters throughout Australia collecting and analyzing digital television viewing data. The need to deliver strategy quickly and efficiently to broadcasters while logging hundreds of millions of events daily across many different technology devices, users, and pieces of content led Oztam to the Elastic Stack.