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The latest News and Information on Log Management, Log Analytics and related technologies.

Implementing a log management program: What is best to start with?

Everything you need to know about creating a log management program Businesses create, collect and have access to more data than ever before. Some of this log data, the record of events that occur in your digital spaces, can help DevOps and security teams assess the performance and reliability of their systems, evaluate weaknesses and troubleshoot any issues that may be occurring.

Troubleshoot faster and modernize your apps with AWS Monitoring and Observability

As a company born in the Amazon Web Services (AWS) cloud, we understand that operating at cloud scale requires balancing security, compliance, and operational safety with your commitment to innovation, speed, and agility. From cost optimization at scale to operational resiliency to application modernization, we know you’re facing various challenges and need reliable solutions.

OpenTelemetry: Why community and conversation are foundational to this open standard

While many of the popular tools for observability in software are open source, one thing they lack is open design. Most of these solutions, from Nagios to Prometheus, started as a product with an opinionated design, which happened to work well for many people. These became the de facto standards. That position of de facto standard is what every open-source project and every commercial product tries to be.

What are the best practices for log management?

Logs record digital actions within your IT system to let you know where errors or unauthorized access attempts originated. However, having only a partial log management plan — or lacking one entirely — can leave you with a mess of unstructured data that doesn’t provide the insights you need. Fortunately, following log management best practices can make tracking your digital actions or modifying your current log management plan a straightforward process.

Grafana Loki 2.8 release: TSDB GA, LogQL enhancements, and a third target for scalable mode

Grafana Loki 2.8 is here — and it’s at least 0.1 better than Loki 2.7! Jokes aside, this release includes a number of improvements users will appreciate. In addition to graduating our TSDB index from Experimental to General Availability, we’ve added a number of nifty LogQL features, and we’ve made the Loki deployment and management experience much easier. This also marks the release of Grafana Enterprise Logs (GEL) 1.7.

What to Expect When You Are Expecting: Cribl Data Routed to a Cribl Destination

For so many, the unknown sucks. Knowing or knowing what to expect is best. Why? Because it puts us at ease, and peace and gives us a calm sense of knowing without having experienced it yet. That’s part of my mission here at Cribl. I talk to a lot of people and the one consistent part of these conversations is the unknown.

How to Monitor Cloudflare with OpenTelemetry

With observIQ’s latest contributions to OpenTelemetry, you can now use free open source tools to easily monitor Cloudflare. The easiest way to use the latest OpenTelemetry tools is with observIQ’s distribution of the OpenTelemetry collector. You can find it here. In this blog, the Cloudflare receiver is configured to monitor logs locally with OTLP– you can use the receiver to ship logs to many popular analysis tools, including Google Cloud, New Relic, OTLP, Grafana, and more.

Using Elastic Anomaly detection and log categorization for root cause analysis

Elastic's machine learning helps support several easy-to-use features to help determine root cause analysis for logs. This includes anomaly detection and log categorization, which are easy-to-use features aiding in analysis without the need to understand or know about machine learning.

Revolutionize Your Observability Data with Cribl.Cloud - Streamline Your Infrastructure Hassle-Free!

Cribl.Cloud provides control over observability data without the hassle of running infrastructure. Cribl.Cloud quickly spins up all Cribl products — Stream, Edge, and Search — in just a few minutes.Teams can get working quickly and make their observability data valuable while Cribl handles scaling and security.