Operations | Monitoring | ITSM | DevOps | Cloud

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

This enhancement is part of Raygun’s 12 Days of Christmas 2024. Over the next few weeks, we’ll share daily updates on bug fixes and feature improvements inspired by feedback from you, our customers. These are the small but impactful changes you’ve asked for, designed to make Raygun faster and easier to use. Check back tomorrow for the next update and see how we’re leveling up your experience one day at a time! Our special thanks to Kelvin from the U.K.

A year ago, I shared my thoughts at re:Invent, explaining why I joined Sumo Logic as CEO and laid out the importance of logs as a key differentiator. A year later, the atomic level of logs is even more paramount. It’s not just because Sumo Logic is years ahead in technology when it comes to ingesting and analyzing structured and unstructured logs.

Note This blog uses “GPU” to refer to the entire processing circuit, including the GPU processor, video memory, and other supporting hardware. ‍ Artificial Intelligence (AI) has become one of the biggest tech trends in years. From generating full movies to updating its own code, AI is performing tasks that were once science fiction.

We all implement tools to monitor our nodes and keep our entire cluster up and running. But how often do updates, failures, or errors mean that users suffer outages, even though our status boards look green? As Kubernetes has enabled more complex microservice architecture, the gap between the state of the dashboard, and the health of services for the user, has grown wider.

Monitoring the health of your API endpoints is crucial to keeping your applications running smoothly and ensuring users have a reliable experience. Keeping an eye on 4XX and 5XX status codes can help you spot issues like client errors, misconfigurations, or server problems before they get out of hand. Plus, setting up alerts for when these errors spike allows you to react quickly, fix problems, and maintain a high-quality service that your users can count on.

Managing LLM provider costs has become a chief concern for organizations building and deploying custom applications that consume services like OpenAI. These applications often rely on multiple backend LLM calls to handle a single initial prompt, leading to rapid token consumption—and consequently, rising costs. But shortening prompts or chunking documents to reduce token consumption can be difficult and introduce performance trade-offs, including an increased risk of hallucinations.