Operations | Monitoring | ITSM | DevOps | Cloud

Elastic Introduces Elastic nightshift AI SRE to Investigate with the Full Context Others Can't Afford to Keep

The AI SRE uses complete context from across the entire stack to continuously detect issues and learn from every incident, delivering evidence-backed answers engineers can trust.

Sentry JavaScript SDK v11 adds tracing for all JS platforms

This post is about a recent change to the Sentry JavaScript SDKs. If you don’t use Sentry with JavaScript, it may still be useful as a look at how we made the change and why. In the Sentry JavaScript SDK v11, we rebuilt how our tracing integrations work. While we still support the OpenTelemetry standard (described in more detail below), we now instrument your dependencies with a code transformer instead of using the OpenTelemetry instrumentation classes as we did in previous versions.

Grafana Tempo: Redaction by query & TraceQL filtering in trace-by-ID v2 (Oct 2026 Community Call)

Trace redaction permanently removes sensitive data from your traces, for when something like an API key ends up in a span attribute. Tempo 3.0 could do it, but only from a list of trace IDs, so you had to go find every affected trace first. In Tempo 3.1 you can hand it a TraceQL query instead. Separately, trace-by-ID got a filter. You normally ask for a trace and get all of it. Now you can pass a TraceQL query and get back only the spans that match.

Landing on the Moon with Grafana and Thermal Engineering | Grafana Everywhere

In honor of World Space Week, we're spotlighting Jackson Sweeney's story and his role in Blue Ghost Mission 1. As a Thermal Engineer at Firefly Aerospace, he used Grafana to ensure that the spacecraft maintained the right temperature throughout the mission... and receive a Golden Grot Award for his use case. Behind every successful moonshot are people solving one hard problem after another. For engineers like Jackson, that means turning an extraordinary ambition into thousands of practical decisions.

Fixing 3 issues with one distributed trace

Use Sentry tracing to investigate three different problems in one shopping flow: an N+1 query, an expired promo-code warning, and a checkout exception. The entire shopping flow happens through the agent conversation on Empower Plant’s homepage: a search for plants under $200, adding one of each to the cart, starting checkout, applying SAVE20, then attempting to place the order. The trace connects that flow to repeated database queries and an N+1 issue, a warning that SAVE20 has expired, and a checkout exception with its inventory-validation stack trace.

10 Best AI Logging Tools in 2026: Features, Pricing & Comparison

As businesses increasingly integrate artificial intelligence into their applications and workflows, understanding what happens behind the scenes of these AI systems has become essential. AI-powered chatbots, large language models (LLMs), and autonomous AI agents can process thousands of requests, interact with external applications, and execute complex tasks. However, when something goes wrong, identifying the source of the problem isn’t always straightforward. Was the AI response incorrect?

8 Best AI SRE Tools in 2026 for Incident Investigation and Reliability

The best AI SRE tools to evaluate in 2026 include Sherlocks AI, Resolve AI, Traversal, Cleric, Rootly AI SRE, Komodor Klaudia, Datadog Bits Investigation, and Dynatrace Intelligence. Each addresses a different part of reliability work, from investigating alerts across multiple systems to diagnosing Kubernetes failures or validating production changes. Choosing the right tool starts with a practical question: where does your team lose time during an incident?

How a Solutions Architect Brought Multi-Cloud Migration to OpenSearch | Tony Piazza

Aiven Senior Solutions Architect Tony Piazza joined the company in March. Within months he had merged five PRs adding Google Cloud support and Terraform-based provisioning to the OpenSearch Migration Assistant, a tool that previously only worked on AWS. Tony talks with Jay Miller about: Why he went from consulting to open source contribution. How a consultant’s habit of finding project risks early shaped the work. His first conference keynote at OpenSearchCon. What contributing as a vendor-neutral company looks like. Where he’s contributing next, including ML Commons, Data Prepper and the docs.