Here at Mezmo, we see the purpose of a telemetry pipeline is to help ingest, profile, transform, and route data to control costs and drive actionability. There are many ways to do that as we’ve previously discussed in our blogs, but today I’m going to talk about real-time alerting on data in motion, yes - on streaming data, before it reaches its destination.

AI-driven processes, including machine learning models and data processing, require significant computational resources which can lead to increased energy consumption and heightened operational costs. The complexity of these workloads, which often involve real-time data analysis and continuous model training, exacerbates the need for robust data center management.

We are delighted to announce the alpha release of the Elastic OpenTelemetry Distribution for Node.js. This distribution is a light wrapper around the OpenTelemetry Node.js SDK that makes it easier to get started using OpenTelemetry to observe your Node.js applications.

IT teams need immediate and automatic access to machine data and institutional knowledge to move faster and make the right decisions. And they need context to identify incidents and understand how to resolve them. AIOps enables this by transforming noisy and fragmented operations data into actionable insights. This is the foundation of full-context operations. Full-context operations combines observability and other machine-generated data with historical, expert, and institutional knowledge.

When it comes to IT automation, the choice between a service orchestration and automation platform like Resolve Actions or building your own automation engine or workflow tool is a pivotal decision. While each option presents its own set of strengths and considerations, Resolve Actions emerges as a powerful solution for organizations looking to streamline their automation efforts. Here’s why.

Observability isn’t new. But organizations are struggling to adopt mature observability practices, and the impact on business is palpable. Organizations are seeing the value of observability for their applications and infrastructure—the results of our 2024 Observability Pulse survey of 500 global IT professionals reflects that across the board.

In this fourth post in the series of "secret" elmah.io features, I want to introduce you to one of several AI features available on elmah.io. We have had machine learning features like automatic bot detection and spike identification for years. But a recent addition to the portfolio of AI features is the integration with ChatGPT to get help solving issues. In this post, I'll show you how to set it up and how it works.

Observo.ai is excited to share that we now integrate with Panther Labs, a modern SIEM built for the cloud. This enables Panther users to leverage Observo.ai’s powerful telemetry data pipeline features. Observo.ai was created to help Security and DevOps teams solve their biggest telemetry problems. Using Artificial Intelligence, Observo.ai optimizes and transforms data from any source and routes it to the destinations where it has the most value.

Cribl is an integrations company at heart. We want to help every company develop a data strategy that gives them more control, improves security, and provides flexibility to adapt to their ever-changing data needs. Today, we’re thrilled to announce that we are a Certified Wiz Integration (WIN) Partner to help customers take their cloud security game to the next level.

Scaling cloud services is a critical task for Site Reliability Engineers, and it’s a challenging one. As organizations grow, the amount of data and the number of users of it grow like crazy, pushing traditional data management methods to their limits. SREs not only have to keep everything running, they’ve got to make sure it runs smoothly, efficiently, and swiftly.