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Logging

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

CI/CD & DevOps Pipeline Analytics: A Primer

Tracking application-level and infrastructure-level metrics is part of what it takes to deliver software successfully. These metrics provide deep visibility into application environments, allowing teams to home in on performance issues that arise from within applications or infrastructure. What application and infrastructure metrics can’t deliver, however — at least not on their own — is breadth.

Real User Monitoring vs Synthetic Monitoring Comparison: What Should You Use? | Sematext

What is a real user monitoring tool? and what is a synthetic tool? Which monitoring tool do you really need? In this comparison video, we will look at the pros and cons of monitoring your site with synthetic vs. real user monitoring tools. Ultimately, we will see that these two technologies work together to ensure that your website runs well and is optimized for the end-user.

Elastic on Elastic: How we saved $100,000/month by keeping our own software up to date

Let's start with the bottom line: When we upgraded to Elasticsearch 7.15 last year, our internal observability clusters saw a reduction in inter-node traffic from 464TB to 204.5TB per day. We monitored this reduction through subsequent upgrades and noticed its impact on our data transfer and storage costs. So here it is: upgrading saved Elastic $3,500 per day, or approximately $100,000 a month, or $1.2 million annually.

AppScope 1.0: Changing the Game for Infosec, Part 2

We’re introducing AppScope 1.0 with a series of stories that demonstrate how AppScope changes the game for SREs and developers, as well as Infosec, DevSecOps, and ITOps practitioners. This blog is the second of two Infosec stories. For both Part 1 and Part 2, Randy Rinehart, Principal Product Security Engineer at Cribl, contributed extensively.

Using AI & ML for Application Performance (APM)

Today, IT and site reliability engineering (SRE) teams face pressure to remediate problems faster than ever, within environments that are larger than ever, while contending with architectures that are more complex than ever. In the face of these challenges, artificial intelligence has become a must-have feature for managing complex application performance or availability problems at scale.

Cloud Log Management Strategy & Best Practices

For IT Operations and Site Reliability Engineering (SRE) teams, logging is nothing new. In fact, collecting and analyzing logs is one of the oldest cornerstones of performance management. Logs have been part and parcel of APM workflows for decades. Yet the logging strategies that worked in eras past often fall short today. That’s thanks to the advent of cloud-native computing, which has ushered in fundamental new challenges in the way teams aggregate, analyze, and manage logs.

Are You Curious? Announcing the Launch of Cribl Curious: A Q&A Site for the Cribl-Inclined

Our amazing user community is growing so fast that we want to give you more resources to learn and share your knowledge and experience with others. So…today we launch Cribl Curious! Curious is a Q&A site for asking and answering technical questions about Cribl Stream, Cloud, Edge, Packs, and AppScope. Goat a question about how something works in Cribl? Come on over to see how your peers have solved similar problems. Checked the docs and it’s just not clicking for you?

Using Synthetic Endpoints to Quality Check your Platform

Quality control and observability of your platform are critical for any customer-facing application. Businesses need to understand their user’s experience in every step of the app or webpage. User engagement can often depend on how well your platform functions, and responding quickly to problems can make a big difference in your application’s success. AWS Canaries can help companies simulate and understand the user experience.