Operations | Monitoring | ITSM | DevOps | Cloud

Elastic Stack Features (formerly X-Pack) is an Elastic Stack extension that bundles security, alerting, monitoring, reporting, and graph capabilities. One could use either all or specific components. People love Splunk. But not its price. So people are always on a lookout for a good Splunk alternative. Many of those people migrated from Splunk to ELK Stack or Hosted ELK Stack solutions like Logsene.

Today, I am proud to announce the release of Logz.io Infrastructure Monitoring, a Grafana-based monitoring solution that enables engineers to speed up detection and reduce time to resolution. This new offering extends our Log Management and Cloud Security (Cloud SIEM) products, which together form Logz.io’s new Cloud Observability Platform.

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.

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?

Back on September 4th, we filed a lawsuit against floragunn GmbH, the makers of Search Guard, a security plugin for Elasticsearch and Kibana, for a multi-year pattern of copying our proprietary code. After filing the claim, we have continued to investigate floragunn’s actions. Today, we have updated our lawsuit in two important ways. First, we have identified additional copying by floragunn with respect to the separate, proprietary code base for our Kibana product.

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.