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

Data-driven Network Observability

The network may be the last thing most people think about, but it’s one of the most crucial components of application delivery. Here we discuss the importance of a data-driven approach to network observability. We unpack how Kentik’s approach to machine learning, big data, and a unified data repository can help network operations solve problems faster to ensure a reliable network with great application performance.

Solving Faster in the Cloud Hybrid Infrastructure Observability with Kentik

How can you quickly discover misconfigured security groups, access control lists, or routing tables? We explore how practitioners serving distributed teams or customer workloads can tighten up policies, impact costs, and unblock their colleagues with cloud infrastructure observability that starts with the network.

Class is in Session with The Observability Professor!

Please join the Observability Professor, Perry Correll, and Ed Bailey as they kick off a series of live streams about the magic and challenges of observability. In this session, Perry and Ed will talk about the foundational aspects of what is observability and its value to an enterprise. In later sessions, they will talk about steps for better telemetry from your applications and logs and how to use that data to help your business achieve clear insights into your application and customer behavior. It will be a fun and interesting discussion!

Elastic AI Assistant for Observability

Harness the power of generative AI to turn insights into actions. Powered by the Elasticsearch Relevance Engine™ (ESRE™), Elastic’s AI Assistant (in technical preview for Observability) transforms problem identification and resolution by eliminating manual data chasing across silos to an interactive assistant that delivers accurate and context-aware remediation for SREs.

Correlation Does Not Equal Causation - Especially When It Comes to Observability [Part 1]

Observability has been tied up with causality from its origins in the mathematical realm of control theory in the early 1960s. A system (of any kind, hardware or software, natural or engineered) was deemed to be ‘observable’ if it generated self-descriptive data from which it was possible to infer how states of the system were causally related to one another.

One-Click Insights with Board Templates

Whether you’re a new Honeycomb user or a seasoned expert looking to uncover fresh insights, chances are you’ve sent tremendous amounts of data into Honeycomb already. The question is, now what? We have the answer: Board templates. Teams can now create Boards based on pre-built templates that generate visualizations with a single click.

Unlocking IT: Considerations for a Powerful Observability Strategy

In today's cloud-native landscapes, observability is more than a buzzword; it's a critical element for software development teams looking to master the complexities of modern environments like Kubernetes. There’s a multi-faceted nature to observability with all its various levels and dimensions — from basic metrics to comprehensive business insights. It’s complex and can continue indefinitely…if you let it.

OpenTelemetry Gotchas: Phantom Spans

This guest post is written by Ian Duncan, Staff Engineer - Stability Team at Mercury. To view the original post, go to Ian's website. At work, we use OpenTelemetry extensively to trace execution of our Haskell codebase. We struggled for several months with a mysterious tracing issue in our production environment wherein unrelated web requests were being linked together in the same trace, but we could never see the root trace span.

Observability for the Public Sector: Greater Visibility for a More Resilient Digital Future

Observability continues to prove its worth. In The State of Observability 2023, the annual research report Splunk created in partnership with the Enterprise Strategy Group, we share the characteristics that set the observability leaders (those with a mature observability practice) apart from the rest.