Operations | Monitoring | ITSM | DevOps | Cloud

AWS offers more than 150 discrete services, spanning compute, storage, database, network, and identity management to name a few. Earlier this year we published our Continuous Intelligence Report in which we surveyed Sumo Logic customers on how broadly they used the various AWS services. We found that the median number of different services most orgs use was 15.

We’ve already covered why log management is important, but we’ve only briefly touched upon one of the best ways that managing your log files can help you and your enterprise, which is, namely – with troubleshooting.

Time for another installment in the series where we explain in detail yet another important metric for tech organizations. After covering MTTD and MTTF, today we answer the question, “What is MTBF?” As the post title makes clear, MTBF stands for “Mean time between failures.” The acronym refers—like the others that came before it—to an important DevOps KPI. But what actually is it? What is it good for? How do I implement it?

We are happy to inform you that we are upgrading our user interface to support Kibana 7 for Logz.io! Kibana 7 offers users a long list of UI and UX enhancements that will make monitoring and troubleshooting your environment a much simpler and nicer experience. These enhancements include a cross-app dark theme, a new time picker, new filtering, a better dashboarding experience, and most importantly – a significant boost in performance. Shall we take a closer look?

We’re excited to announce the general availability of version 7.5 of the Elastic Stack. Along with the introduction of Kibana Lens, a fast and intuitive way to craft visualizations, this release offers significant enhancements to our Observability and Security solutions and Elastic Enterprise Search joins the 7.5 release train. Read on to see the highlights and dive into the detailed release posts for all the details.

Network monitoring is complex, which is why we’re developing a monitoring tool that will drastically increase DevOps productivity. This release is all about improving Netdata’s day-in, day-out performance. We’re working hard to make deploy enhancements that help engineers make faster, smarter decisions about their systems.

If you’re handling sensitive information, dealing with data loss can be more than just a headache. Log management tools such as Graylog can enhance your incident response and management strategies, and help you mitigate the damage when a breach occurs in your database. Minimizing data loss with a fast and scalable logging solution is key if you want to bring your cybersecurity to the next level.

“What is MTTF?” That’s the question we’ll answer with today’s post. Yep, the article’s title makes it evident that the acronym stands for “mean time to failure.” But that, on its own, doesn’t say anything. What does “mean time to failure” actually mean? Why should you care? That’s what today’s post covers in detail.

We recently launched Elastic Security, combining the threat hunting and analytics tools from Elastic SIEM with the prevention and response features of Elastic Endpoint Security. This combined solution focuses on detecting and flexibly responding to security threats, with machine learning providing core capabilities for real-time protections, detections, and interactive hunting. But why are machine learning tools so important in information security? How is machine learning being applied?