Operations | Monitoring | ITSM | DevOps | Cloud

Elastic Observability 8.16 announces several key capabilities: Elastic Observability 8.16 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. What else is new in Elastic 8.16?

A deeper look into our new, simplified navigation menu for Elastic Cloud Hosted deployments In recent years, the Elastic platform steadily expanded its features and capabilities to address complex and evolving customer needs. As a result, the left navigation became a vast array of over 100 menu items. While our customers deeply value this extensible toolset on a unified platform, daily users need a simple interface for quick access to commonly used tools.

Understanding Splunk pricing is crucial for organizations evaluating SIEM solutions. This guide examines licensing models, actual costs, and essential pricing factors to help you make an informed investment decision for your security and monitoring needs.

Learn how to implement proper logging in Flask, from development to production, and avoid the pitfalls of scattered print statements.

Learn how to access and use Docker logs to monitor, troubleshoot, and improve your containerized apps in this simple guide for developers.

When discussing what makes a product different, what makes it unique, we are led down the path of feature comparison. It is a natural thing to break down a product into its component parts to ease the process of weighing and measuring each layer. Does the authentication layer support SAML? Can platform components be defined in code? Beneath each of these features, however, is a foundational strata. A golden thread that enables and constrains each and every piece.

At Cribl, we’ve been deeply investing in the Microsft Azure security space. Last year, we introduced a native integration with Microsoft Sentinel, enabling us to write data seamlessly to native and custom tables. As highlighted earlier, working with Microsoft Sentinel and Log Analytics involves interacting with tables with predefined column names and data types.

Guaranteeing that your systems, applications, networks, and servers are operating optimally and delivering the expected levels of performance and user experience is a crucial practice for all organizations. This process is called performance monitoring.