Operations | Monitoring | ITSM | DevOps | Cloud

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

Elastic at AWS re:Invent: Concluding a year of partnership in agentic AI innovation

Highlights of another laudable year of customer-centric collaboration The integration of Elastic’s capabilities, including vector databases and context engineering, with AWS services helps customers build intelligent, scalable, and secure applications faster and with greater flexibility. Our ongoing collaboration has resulted in another year of notable innovation with AWS. This blog highlights our continued collaboration with AWS throughout 2025 to help you capitalize on the power of AI.

Logging Best Practices (Grafana OpenTelemetry Community Call)

We’re back with a new Grafana OpenTelemetry Community Call episode, and this time we’re diving into logging with OpenTelemetry and Grafana Loki! Even better, we’re joined by two fantastic guests: Jack Berg, OTel logging expert, and Ed Welch, Loki guru. Getting both of them in one conversation makes for an amazing deep-dive into all things logging. Logs come in every shape and size, from simple CLI output to massive distributed systems generating petabytes of structured data. In this episode, we’ll talk about.

Improve log utilization with Datadog log exclusion filters | Datadog Tips & Tricks

Want to make your logs easier to work with? Excluding unneeded logs from indexing reduces noise and may reduce log management costs. In this video, you’ll learn how to: See for yourself how to improve log utilization with Datadog Log Patterns and log exclusion filters. Then set up an alert to track ingestion spikes.

About us - Sumo Logic

Security teams are flooded with thousands, or even millions, of signals every day. Sumo Logic’s entity-based SIEM and Dojo AI agents automate the manual work of detection, triage, and remediation so you can act faster on the alerts that matter. Discover how Sumo Logic simplifies security operations, helping you cut through the noise and protect your digital world.

Setting up OpenTelemetry Demo in Kubernetes with Splunk Observability Cloud

Are you looking to explore the power of OpenTelemetry and Splunk Observability Cloud in a Kubernetes environment? This video provides a comprehensive, step-by-step walkthrough on how to deploy the OpenTelemetry Demo application in Kubernetes and seamlessly integrate it with Splunk Observability Cloud for metrics, traces, and logs! In this tutorial, you'll learn.

Tech Talk - Splunk Observability for AI

In this Tech Talk, we’ll show you how Splunk’s agentic, AI observability delivers end-to-end visibility of the entire AI stack, from agents and large language models (LLMs) to the underlying infrastructure. You’ll see how AI Infrastructure Monitoring provides teams with data-dense dashboards and detectors for surfacing trends, patterns, and outliers to correlate application health with underlying AI infrastructure performance.

Tech Talk - Take action automatically on Splunk alerts with Red Hat Ansible Automation Platform

As digital and AI applications become more prevalent, the need for fast, efficient, and consistent management of IT operations is critical. This session will show you how to automate responses to Splunk Observability Platform alerts using Red Hat Ansible Automation Platform's Event-Driven Ansible.

Building visibility and resilience across Kubernetes

Kubernetes has transformed how modern applications are deployed and scaled. Its flexibility and automation power innovation but also expand the attack surface. From control plane access to runtime drift, Kubernetes introduces layers of complexity that can obscure visibility if not properly monitored. For security leaders, Kubernetes is both an opportunity and a risk. While it enables agility, it also decentralizes security responsibility across teams, tools, and cloud layers.

Introducing the Databricks Destination: Powering governed, scalable analytics from day one

Modern enterprises are generating more high-volume observability and security data than ever, which means the cost and complexity of getting analytics-ready data into Databricks are only growing. With the new Databricks Destination for Cribl Stream, organizations finally have a governed, scalable, and cost-efficient way to take full control of their data pipelines, accelerate AI-driven analytics, and unlock real business value from their Databricks investment.