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

Trending topics at KubeCon + CNC NA 2022

Throughout KubeCon + CloudNativeCon NA 2022, our team was able to speak to over 100 people from the cloud-native community to learn more about their thoughts and experience of the event. This blog will explore what the community thought was the hot topic of discussion at KubeCon + CNC NA 2022, which includes topics such as security, cost, and developer experience. Check out the full video below.

Cribl is Redefining Search for Your Observability & Security Data

Cribl, a leader in open observability, today released Cribl Search, the first federated query engine focused on observability and security data. Search flips the observability market on its head, dispatching queries to where the data is already at rest. Cribl Search was engineered to let you search data-in-place, whether the data remains at the edge, in the stream, in the observability lake, at the endpoint, or even in existing search tools.

Cribl's Fall Launch: Beyond the Pipeline

What's new in Cribl's Fall release? Stream 4.0: A UX refresh, new DB collector, and a Pipeline profiling capability for better visibility and reduced time to resolution. Cribl.Cloud 4.0: BYO IdP, cloud-hosted queueing for sources and destinations, and the ability to purchase a Cribl.Cloud subscription directly from the AWS Marketplace. Edge 4.0: The addition of fleet management, AppScope Edge integration, enhanced Kubernetes support, and the power to handle up to 15k Edge nodes for even more visibility, at scale.

Touching Grass With SLOs

One of the things that struck me upon joining Honeycomb was the seemingly laissez-faire approach we took towards internal SLOs. From my own research (beginning with the classic SRE book, following Google’s example), I came to these conclusions: If you read the original SRE book when it was released, before the workbook came out, these conclusions all made sense.

Understanding the Three Pillars of Observability: Logs, Metrics and Traces

Many people wonder what the difference is between monitoring vs. observability. While monitoring is simply watching a system, observability means truly understanding a system’s state. DevOps teams leverage observability to debug their applications or troubleshoot the root cause of system issues. Peak visibility is achieved by analyzing the three pillars of observability: Logs, metrics and traces.

Observability is Still Broken. Here are 6 Reasons Why.

In an era where there’s no shortage of established best practices and tools, engineering teams are consistently finding their ability to prevent, detect and resolve production issues is only getting harder. Why is this the case? Our most recent DevOps Pulse Survey highlighted alarming trends to this end.

Are you a network observability champion?

At Kentik, we pride ourselves as innovators and thought-leaders for network observability. “Kentik is network observability” is more than a slogan for us. It’s an idea that informs our product roadmap and guides our problem-solving with customers. We’ve done a lot to explain network observability to prospects.

Observability Data Documentation Best Practices

A few weeks back, I got the chance to sit down with our very own Jordan Perks from the Cribl Customer Success Team. Jordan is an Observability subject matter expert AND knows a thing or two about Cribl Products! After geeking out a bit about data best practices, we started chatting about enabling our customer champions to have different conversations with stakeholders across their organizations. When someone becomes an observability engineer, they step into a much different role.

World's #1st Data-Centric AIOps Platform | Composable Analytics for AIOps & Observability

Composable Analytics for AIOps & Observability for Platform Engineering Teams Powered by Robotic Data Automation Fabric (RDAF). RDAF™ is world’s first data fabric architected to unify Data Observability, Security & Automation Domains and take on the challenges of data intelligence and automation.