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Logging

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

Tracing Services Using OTel and Jaeger

At observIQ, we use the OTel collector to collect host/container-level metrics and logs from our systems. But to get more detailed monitoring of our applications (APM), we use the OTel SDK and instrumentation libraries. This post aims to provide a quick start to setting up tracing exporting to a local Jaeger instance.

Log Analytics: Everything To Know About Analyzing Log Data

Log data is big data! But that’s not why it’s such a big deal. Log data can be really useful if you know what to do with it — which is where log analysis and analytics comes in. Let’s take a look at this valuable activity, starting with what log data can tell us and moving into how we can use analytics to inform business practices. (This article was written in collaboration with Muhammad Raza.)

Get a Sneak Peek with Operator Preview in Cribl Search

At Cribl, we understand precisely what challenges our customers face when running complex searches, and the importance of getting exactly what they need with their queries. Cribl Search’s latest feature, Operator Preview, allows data analysts to test search operators without committing to a full search. It saves time, reduces costs, and streamlines your everyday data analysis.

Log Management in the Age of Observability

The explosive growth of interconnected data across distributed systems has disrupted traditional development, DevOps, and ITOps practices and forced many organizations to rethink their cloud strategies. Higher-velocity feature development and more responsive support requests involve developers throughout the delivery cycle and require them to monitor and observe application behavior before releasing it to production.

How to collect and query Kubernetes logs with Grafana Loki, Grafana, and Grafana Agent

Logging in Kubernetes can help you track the health of your cluster and its applications. Logs can be used to identify and debug any issues that occur. Logging can also be used to gain insights into application and system performance. Moreover, collecting and analyzing application and cluster logs can help identify bottlenecks and optimize your deployment for better performance.

The Digital Resilience Guide: 7 Steps To Building Digital Resilience

The question is: are you full prepared to adapt to what may come…cyber incident, recession, severe weather? With unexpected events like a global pandemic, businesses see the need to improve their resilience against digital disruptions. That’s because disruption is a certainty — and resilience has a strong ROI. Digital resilience helps businesses respond successfully to these kinds of unexpected events.

4 CDN Monitoring Tools to Look At

Beyond their primary function of bringing internet content closer to client servers, CDNs also play a vital role in network security. For instance, CDN helps you absorb traffic overloads from DDoS attacks by distributing traffic across many servers. However, the volume of servers under your CDNs control and their geographically distributed nature presents its own set of risks, operational and security. Choosing the best CDN monitoring tool is critical to the end-user experience.

Even faster 3 am troubleshooting with new logs search and query

As an SRE putting out fires all day, it’s nice to get a good night’s sleep. But there are times when that PagerDuty alert goes off in the middle of the night, forcing you to leap into action to fix a high-priority issue. This is where having the best log analytics tool is critical to easily search and query the log data, perform deep-dive troubleshooting and analysis and quickly come to a resolution.

How to Reduce Duplicate Log Data with BindPlane OP

Are you dealing with duplicate log data? This can get expensive💰 and be difficult to parse, so how can one solve? Check out the clip with our CEO, Michael Kelly, as he shows you how to reduce telemetry data at the edge, reducing cost but not impacting visibility👀 with BindPlane OP. #telemetry #opensource #observability

Cribl Reference Architecture Series: Scaling Effectively for a High Volume of Agents

Join Cribl’s Ed Bailey and Ahmed Kira in an insightful discussion about scaling your Cribl Stream architecture to accommodate a large number of agents. Managing high-volume agent data flows presents a unique set of challenges that must be addressed to ensure the reliable transmission of data from your endpoints to your analytics systems, meeting business resiliency requirements. Errors arising from agent scale and data volume can lead to difficult-to-diagnose and even more challenging-to-fix issues that tend to surface at the most inopportune times.