Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

How to Transform Telemetry Data with the OpenTelemetry Transformation Language

This demonstration shows how to use the OpenTelemetry Transformation Language (OTTL) to transform, filter, and enrich telemetry in the OpenTelemetry Collector without changing application code. We walk through a sample Python application and OpenTelemetry configuration file, generate real traffic, and then analyze the results in Splunk Observability Cloud.

What Are Vector Embeddings? (Explained in 2 Minutes)

In under 2 minutes, we explain what vector embeddings are, how they work, and how to use them in real-world applications like text expansion. We'll also show how Elasticsearch supports vector search with two powerful models: E5, open-source text embedding models designed for multilingual search, and ELSER, a sparse embeddings model from Elastic.

What is Infrastructure Monitoring? How it Works, Key Metrics & Use Cases

Infrastructure monitoring is the process of continuously collecting, analyzing, and visualizing data from an organization’s IT infrastructure. With infrastructure monitoring, DevOps teams can maintain system health, meet SLAs, reduce downtime, and detect and resolve issues proactively. This ensures optimal performance, availability, and reliability. Key networks components infrastructure monitoring typically covers.

Transform your public sector organization with embedded GenAI from Elastic on AWS

Elastic featured in AWS Generative AI Hub for public sector Elastic is proud to be featured in the new AWS Generative AI Content Hub for public sector — a destination showcasing the most impactful ways agencies can securely adopt and scale generative AI (GenAI).

The Fourth Pillar of Observability

Your application is only as reliable as the infrastructure it runs on. Most commonly, that means Kubernetes is doing the job by managing fleets of containers, scaling services on demand, and keeping workloads distributed across nodes. Traditional dashboards weren’t built to scale with this reality. They give you snapshots of raw metrics. They don’t scale to multi-cluster environments. They don’t map relationships between resources.

Logs are Generally Available (Still logs, just finally useful)

When we started building Logs in Sentry we had one goal: make them useful for real debugging, not just another high-volume text storage. This meant making them "trace connected" from day one. This let us ensure they were tightly connected to the actions and performance happening in your application, right where developers already go to investigate errors, performance, and latency issues. Now, Logs is out of beta and generally available to everyone.

Visualize Logs Alongside Metrics: Complete Observability for Slow MongoDB Operations

MongoDB’s strength of flexible schema and fast iteration can also hide costly queries until they surface as user-facing latency, replica lag, or spiky CPU. A handful of slow operations can impact the cache, starve other workloads, and cascade into timeouts across services. Monitoring slow queries gives you an early warning system for index gaps and query-plan regressions introduced by code deploys, schema changes, or shifting data shapes.