The latest News and Information on Log Management, Log Analytics and related technologies.
We're thrilled to share an exciting update from Logit.io. As part of our ongoing commitment to providing cutting-edge observability solutions to our users, we've integrated OpenSearch 2.10.0 into our platform, bringing a host of advanced features to enhance your experience. Let's dive into what's new and how these changes can benefit your observability workflows.
Logz.io is excited to announce Service Map, a new way to visualize the data flow, dependencies, and critical performance metrics throughout your microservices architecture, which makes it easy to gather critical troubleshooting context as you investigate production issues.
Amazon Web Services, Inc. (AWS), an Amazon.com company, today announced the 2023 AWS Partner Award winners, recognizing leaders around the globe playing a key role helping customers drive innovation and build solutions on AWS. Announced during re:Invent 2023, AWS Partner Awards recognize our Top Partners of the Year and Rising Star Partners of the Year, whose business models have embraced specialization, innovation, and collaboration over the past year.
Cribl’s internal metrics are very handy for seeing what Cribl is doing. And while there are many data points related to input vs output volumes, sometimes you need more control over what you’re tracking. This pack allows you to route arbitrarily defined traffic through a stats tracker to capture changes in event count and volume. Perhaps you are onboarding a new host, or trialing a new Pipeline.
Our previous post was all about dipping your toes into the wonderful world of API interaction. By leveraging Cribl’s API you can automate many parts of your event pipeline management and tasks. So we got that goin’ for us. Which is nice. One of the common use cases for the API I hear about is kicking off data collection automatically. Use cases include: Cribl gives you the tools to collect data when you want, from where you want, and to where you want.
Let’s be honest, working with Kubernetes (K8s) has never been the easiest tech to work with. As a seasoned Kubernetes professional, I find myself constantly looking for ways to set up collecting data from my clusters, only to find out that there is a new, more complicated way to get the data I’m looking for.