Operations | Monitoring | ITSM | DevOps | Cloud

Information Technology Operations Analytics (ITOA) is an analytics technology that uses datasets generated by IT systems to improve their efficiency and effectiveness as part of the practice known as IT operations management (ITOM). The primary goal of ITOA is to make IT operations more effective, efficient, faster and more proactive through the use of an organization’s own machine data.

Container monitoring refers to the process of monitoring and managing containers deployed within a containerization platform, such as Docker or Kubernetes. As containerization has become increasingly popular in software development and deployment, monitoring and managing containerized environments has become increasingly important.

If you stopped by this article, you're most likely searching for an IT Asset Management (ITAM) solution. And since we know that the research process might be a bit overwhelming, we put together this ITAM software comparison to give you an overview of the best alternatives in the market. Overall, an ITAM tool should provide an easy and comprehensive way to manage your organization's IT assets during their lifecycle, including mainly hardware, software, and cloud-based assets.

Splunk is a popular logging, and in the case of Splunk Cloud also metrics, platform. The BindPlane Agent is capable of integrating with Splunk; both for incoming telemetry to a Splunk Indexer and outgoing telemetry from a Splunk Forwarder. By integrating in this manner, telemetry not natively supported by Splunk can be sent in; and going the other way the telemetry can be sent to other platforms.

This post was written by Joe Cozzupoli. Scroll down to read the author’s bio. As the cybersecurity landscape evolves and threats become more sophisticated, organizations need to stay ahead with the right tools and strategies to protect their valuable data. Two key technologies in this domain are Security Orchestration, Automation, and Response (SOAR) and Security Information and Event Management (SIEM).

Relational databases like MySQL, PostgreSQL, Oracle, and others have a wealth of time series data locked inside of them. Often this data can be used to enhance observability dashboards, or keep track of important application factors, like how many users have signed up for a service. In this article, we’re going to show you how to visualize any time series from any SQL database in Grafana using the time series visualization.

The Graphite graphing and monitoring tool is open-source software for monitoring time-series data, and it can be installed on any system, from cheap hardware to the cloud. Graphite collects time series data from infrastructure, servers, networks, and applications, and then provides the Graphite graphing UI for analyzing the data. Graphite has been around since 2008, and it has been continuously developing over the past 12 years.

Mobile device users care about three things when it comes to good app performance: We’re going to look at how modern concurrency APIs can help with some of these. We recently shipped a new profiling feature to help you find the sources of main thread contention; specifically detecting issues with image and JSON decoding or regex matching. These point you to spots where you can immediately make improvements to your app’s UI performance.

A comprehensive guide to support faster drug innovation and discovery in the pharmaceutical industry with generative AI/LLMs, custom models, and the Elasticsearch Relevance Engine (ESRE) Faster drug discovery leading to promising drug candidates is the main objective of the pharmaceutical industry. To support that goal, the industry has to find better ways to utilize both public and proprietary data — at speed and in a safe way.

Honeycomb has the ability to receive events from applications. These events can take the shape of Honeycomb wide events, OpenTelemetry trace spans, and OpenTelemetry metrics. Because Honeycomb’s backend is very flexible, these OpenTelemetry signals fit in just fine—but sometimes, they have a few quirks. Let’s dive into using metrics the Honeycomb way and cover a few optimizations.