As data volumes continue to grow and observability plays an ever-greater role in ensuring optimal website and application performance, responsibility for end-user experience is shifting left. This can create a messy situation with hundreds of R&D members from back-end engineers, front-end teams as well as DevOps and SREs, all shipping data and creating their own dashboards and alerts.

In the labyrinth of IT systems, logging is a fundamental beacon guiding operational stability, troubleshooting, and security. In this quest, however, organizations often find themselves inundated with a deluge of logs. Each action, every transaction, and the minutiae of system behavior generate a trail of invaluable data—verbose, intricate, and at times, overwhelming.

Elastic® Observability 8.12 announces general availability (GA) for the AI Assistant, Service Level Objectives (SLO), and Mobile APM support: Elastic Observability 8.12 is available now on Elastic Cloud — the only hosted Elasticsearch® offering to include all of the new features in this latest release. You can also download the Elastic Stack and our cloud orchestration products, Elastic Cloud Enterprise and Elastic Cloud for Kubernetes, for a self-managed experience.

Elastic Search 8.12 contains new innovations for developers to intuitively utilize artificial intelligence and machine learning models to elevate search experiences with lightning fast performance and enhanced relevance. This version of Elastic® is built on Apache Lucene 9.9, the fastest Lucene release ever, and updates some of our most popular integrations such as Amazon S3, MongoDB, MySQL, and more.

How much of the data you collect is actually getting analyzed? Most organizations are focused on trying not to drown in the seas of data generated daily. A small subset gets analyzed, but the rest usually gets dumped into a bucket or blob storage. “Oh, we’ll get back to it,” thinks every well-intentioned analyst as they watch data streams get sent away, never to be seen again.

This blog explores a possible approach to collecting and formatting OpenShift Container Platform logs and audit logs with Red Hat OpenShift Logging Operator. We recommend using Elastic® Agent for the best possible experience! We will also show how to format the logs to Elastic Common Schema (ECS) for the best experience viewing, searching, and visualizing your logs. All examples in this blog are based on OpenShift 4.14.

Speedily minimizing the negative impact of an information security incident is a fundamental element of information security management. The risks — loss of credibility in the eyes of users and other stakeholders, loss of business revenue and critical data, potential regulatory penalties — can significantly jeopardize your organization’s mission and objectives.

Got cybersecurity problems? Well, the good news is the same as the bad news — you’re not alone. The world of security has a big data problem and an even bigger people problem. Enterprise connectivity has drastically increased in the last decade, meaning every employee, contractor, and vendor has some level of access to corporate networks. To support this growth, companies monitor exponentially increasing infrastructure and traffic, producing a steadily rising volume of data.

“Are your customers, partners and employees complaining about how slow your applications are running?" If you are not worried about the answer to this question, stop reading now.

The border between the management of telecommunications networks and the services that they support and the management of IT infrastructures and the applications that they support has always been a porous one. One might say that they are like two dialects of the same language rather than different languages. Nonetheless, these areas, whether characterised by technology or practice, are different and have, for the most part, been served by different vendors and products.