Operations | Monitoring | ITSM | DevOps | Cloud

The ability to measure the internal states of a system by examining its outputs is called Observability. A system becomes 'observable' when it is possible to estimate the current state using only information from outputs, namely sensor data. You can use the data from Observability to identify and troubleshoot problems, optimize performance, and improve security. In the next few sections, we'll take a closer look at the three pillars of Observability: Metrics, Logs, and Traces.

Elastic® has enabled the collection, transformation, and analysis of data flowing between the external data sources and Elastic Observability Solution through integrations. Integration packages achieve this by encapsulating several components, including agent configuration, inputs for data collection, and assets like ingest pipelines, data streams, index templates, and visualizations. The breadth of these assets supported in the Elastic Stack increases day by day.

In today's ever-changing digital development landscape organizations face the challenge of delivering high-quality software quickly and efficiently. Developing and producing new products and updates is a compelling but fundamental part of any technology business. But ensuring the process runs smoothly to make certain that your release reaches your customers as expected can be challenging. This is where release management tools come in.

Application Performance Monitoring (APM) is a technology approach that provides real-time information about how your software applications are performing. With a comprehensive view into application health and availability, APM can do things like: Both the importance and the usage of APM has grown in recent years. That’s because companies rely on increasingly complex applications to run their businesses. Here is what you need to know about Application Performance Monitoring.

Elastic® SQL inputs (metricbeat module and input package) allows the user to execute SQL queries against many supported databases in a flexible way and ingest the resulting metrics to Elasticsearch®. This blog dives into the functionality of generic SQL and provides various use cases for advanced users to ingest custom metrics to Elastic®, for database observability. The blog also introduces the fetch from all database new capability, released in 8.10.

Maintaining the right combination of tools and integrations is essential in monitoring your online presence. To this end, Logz.io and Uptime.com — both highly-respected services in their own right — can be integrated to provide powerful analytics, uptime metrics monitoring, log management, and real-time incident alerts – all in one dashboard.

Syslog is a standard for sending and receiving notification messages–in a particular format–from various network devices. The messages include time stamps, event messages, severity, host IP addresses, diagnostics and more. In terms of its built-in severity level, it can communicate a range between level 0, an Emergency, level 5, a Warning, System Unstable, critical and level 6 and 7 which are Informational and Debugging. Moreover, Syslog is open-ended.

We are excited to announce that we have been recognized as a Cool Vendor by Gartner in their Cool Vendors in Monitoring and Observability.

OpenTelemetry (OTEL) is an observability platform designed to generate and collect telemetry data across various observability pillars, and its popularity has grown as organizations look to take advantage of it. It’s the most active Cloud Native Computing Foundation project after Kubernetes, and it’s progressing at an immense pace on many fronts. The core project is expanding beyond the “three pillars” into new signals, such as continuous profiling.