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The latest News and Information on Observabilty for complex systems and related technologies.

Lightrun Launches New .NET Production Troubleshooting Solution: Revolutionizing Runtime Debugging

Lightrun, the leading Developer Observability Platform for production environments, announced today that it has extended its support to include C# on its plugins for JetBrains Rider, VSCode, and VSCode.dev. With this new runtime support, .NET developers can troubleshoot their apps against.NET Framework 4.6.1+, .NET Core 2.0+, and.NET 5.0+ technologies.

How the All-In Comprehensive Design Fits into the Cribl Stream Reference Architecture

Join Cribl's Ed Bailey and Ahmed Kira as they provide more detail about the Cribl Stream Reference Architecture, which is designed to help observability admins achieve faster and more valuable stream deployment. During this live stream discussion, Ed and Ahmed will explain the guidelines for deploying the comprehensive reference architecture to meet the needs of large customers with diverse, high-volume data flows. They will also share different use cases and discuss the pros and cons of using the comprehensive reference architecture.

The Sun's Setting on Cisco Prime Infrastructure, Rising on SolarWinds Hybrid Cloud Observability

Cisco recently announced its plan to End of Life (EOL) Cisco Prime Infrastructure. While they’re offering an alternative solution with this announcement, Cisco DNA Center, support for multi-vendor environments appears to be decreasing.

Alerting on the User Experience

When your alerts cover systems owned by different teams, who should be on call? We get this question a lot when talking about SLOs. We believe that great SLOs measure things that are close to the user experience. However, it becomes difficult to set up alerting on that SLO, because in any sufficiently complex system, the SLO is going to measure the interaction between multiple services owned by different teams.

How an Observability Pipeline Can Help With Cloud Migration

Do you want to confidently move workloads to the cloud without dropping or losing data? Of course, everyone does. But easier said than done. Cloud migration is tricky. There’s so much to think through and so much to worry about — how can you reconfigure architectures and data flows to ensure parity and visibility? How do you know the data in transit is safe and secure? How can you get your job done without getting in trouble with procurement?

Honeycomb's Deployment Protection Rule for GitHub Actions

Today, GitHub announced the public beta of Deployment Protection Rules for GitHub Actions for GitHub Enterprise users. In support of that launch, we’ve partnered with GitHub to create the Honeycomb Deployment Protection Rule (available as a GitHub App). This rule lets you run Honeycomb queries so that you can get real-time performance feedback from your services before deciding whether to prevent deployment of your code to a specific environment.

Observability overload: Insights into the rise of tools, data sources, and environments in use today

With countless observability tools, data sources, and environments to juggle, the organizations that deploy and manage today’s distributed applications often face an uphill battle to gain visibility into their application performance. That was a key takeaway from the Grafana Labs Observability Survey 2023, which incorporated input from more than 250 industry practitioners who are all too familiar with these complexities.

The Three Pillars of Observability: Metrics, Logs and Traces

Metrics, Logs and Traces are often referred to as The Three Pillars of “Observability“. The term observability has been used in control theory to refer to how the state of a system can be inferred from the system’s external outputs. Applied to IT, observability is how the current state of an application can be assessed based on the data it generates. Applications and the IT components they use provide outputs in the form of metrics, events, logs and traces (MELT).