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

Business Observability: Everything Fintech Companies Want to Know

Fintech companies operate in a complex technological and regulatory environment. They rely heavily on cloud-native technologies and microservices architectures to handle financial transactions and data, often at a massive scale. To maximize application reliability, fintech companies need full visibility into their software systems and applications. An agile monitoring solution like observability is crucial to improving performance and user experience.

The 2023 Observability Market Map - Key Trends, Players, and Directions

Cribl has a unique position right in the middle of the observability market, giving us a distinct view of all things security, APM, and log analysis. Observability as a concept has exploded into specialized areas over the past two years, and making sense of the players and market forces, particularly in a difficult macro environment, can be tricky. Let’s break it down.

How To Perform Dynamic Code Instrumentation in a Python Application

Code instrumentation is an essential practice in modern software development. Not only does it aid in debugging, it ultimately impacts the MTTR (Mean Time to Resolve) for software running in production. With changing software architectures and deployment patterns over the years, approaches to code instrumentation have also undergone a significant shift.

Stile Education's Best-of-Breed Observability Strategy

"One of the best things we’ve gotten out of ChaosSearch is the ability to keep all of our data in S3. It’s cheap and easy to keep all of our data available and indexed. We can search through it at any time to dig deeper into problems that crop up." Learn more about how the Stile's team can now retain log data indefinitely, versus saving only a week or two of data in Elasticsearch. That change has increased the team’s capacity to use log data to solve business problems, and unlocked new opportunities to discover deeper product insights.

Improving LLMs in Production With Observability

Quickly: if you’re interested in observability for LLMs, we’d love to talk to you! And now for our regularly scheduled content: In early May, we released the first version of our new natural language querying interface, Query Assistant. We also talked a lot about the hard stuff we encountered when building and releasing this feature to all Honeycomb customers. But what we didn’t talk about was how we know how our use of an LLM is doing in production!

Fundamentals of Searching Observability Data: Understanding the Search Process Can Save Time, Complexity, and Money!

On June 28th I will be hosting a webinar, ‘The Fundamentals of Searching Observability Data’. So why should you attend? Because things have, and will continue to change in the way we manage the IT data collected across the enterprise. A recent study shows that enterprises create over 64 zettabytes (ZB) of data, and that number is growing at a 27 percent compound annual growth rate (CAGR). The scary part?

Getting Started with Honeycomb Buildevents and GitHub Actions

Buildevents is a small binary used to help instrument builds to generate trace telemetry. It populates the trace with metadata from the GitHub Actions environment so you have details about what occurred throughout the entire build. In this tutorial, learn how to instrument with Buildevents and GitHub actions.

How Our Love of Dogfooding Led to a Full-Scale Kubernetes Migration

The benefits of going cloud-native are far reaching: faster scaling, increased flexibility, and reduced infrastructure costs. According to Gartner®, “by 2027, more than 90% of global organizations will be running containerized applications in production, which is a significant increase from fewer than 40% in 2021.” Yet, while the adoption of containers and Kubernetes is growing, it comes with increased operational complexity, especially around monitoring and visibility.

The Rise of Open Standards in Observability: Highlights from KubeCon

Today’s IT systems are ever more fragmented. It is commonplace to see polyglot systems, written in multiple programming languages, and using a plethora of tools and cloud services as infrastructure building blocks, whether data stores, web proxy or other functions. In this dynamic cloud-native realm, open standards and open specifications have become integral drivers of compatibility, collaboration, and convergence – the Three C’s of Open Standards, if you will.