The latest News and Information on Log Management, Log Analytics and related technologies.
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.
Elasticsearch has long been the prominent solution for log management and analytics. Cloud-native and microservices architectures, together with the surge in workload volumes and diversity, have surfaced some challenges for web-scale enterprises such as Slack and Twitter. My podcast guest Suman Karumuri, a Sr. Staff software engineer at Slack, has made a career on solving this problem. In my chat with Suman, he discusses for the first time in a public space a new project from his team at Slack: KalDB.
When security analysts choose technology, they approach the process like a mechanic looking to purchase a car. They want to look under the hood and see how the product works. They need to evaluate the product as a technologist. On the other hand, the c-suite has different evaluation criteria. Senior leadership approaches the process like a consumer buying a car.
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.
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.
In this blog post, we will walk you through how to develop a continuous performance management playbook for your business to effectively integrate and manage performance as an integral part of your development process – enabling you to build fast experiences faster than your competition. Let’s dive in!
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?
When you’re troubleshooting an issue, finding the root cause often involves finding specific logs generated by infrastructure and application code. The faster you can find logs, the faster you can confirm or refute your hypothesis about the root cause and resolve the issue! Today, we’re pleased to announce a dramatically simpler way to find logs in Logs Explorer.
The phone rings. Your email pings. Your marketing team just told you about a flood of messages on social media and through live chat that there’s a service outage. You thought your Monday morning would be calm and relaxed since people are just returning from the weekend. How do you start researching all of these incoming tickets? How do you know which ones to handle first? Is this just a hardware failure, or are you about to embark on a security incident investigation like Log4j?
