Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring Sidekiq Job Performance with AppSignal

When my Sidekiq job starts failing or slowing down, I often feel frustrated, especially if I don’t know how to fix it. If you’re using Sidekiq to run your background jobs, you know what I’m talking about. It’s a vital element of your stack, handling everything from data exports to password reset requests. It runs silently in the background, and most of the time, you’re not even giving it a second thought.

LogicMonitor Advances Autonomous IT with No Blind Spots, Trusted AI, and Closed-Loop Action

LogicMonitor’s latest innovations span the entire platform to deliver the operational foundation enterprises need for Autonomous IT—complete visibility from infrastructure to end user, AI that reasons in full context, and closed-loop automation that moves from detection to resolution. Over 90% of organizations rely on at least two to three monitoring solutions—and many enterprises operate five or more.

Context-Driven AI You Can Trust: How Edwin AI Earns Confidence in Production

Most legacy AIOps investments underdeliver because the AI lacks context, not capability. LogicMonitor’s latest innovations expand Edwin AI’s contextual intelligence across every dimension, so recommendations are accurate, explainable, and trusted by the teams that need to act on them. Reduce incident resolution time with AI that understands your environment—not just your alerts.

Who's on call? How Claude helped us calculate this 2,500x faster

Schedules are a core part of any on-call system. In ours, they define who to page and when. But people use them in lots of other ways too: checking their next shift, asking for cover while at the gym, keeping a Slack user group up to date, or updating a Linear triage responsibility. For many of our customers, they’re one of the main ways they interact with our product, and as they’re such a foundational part of On-call, it’s very important they work well.

Ask Cortex anything, right from Slack

The Monday morning thread. Someone asks who owns checkout-service. Someone else asks what changed in the Production Readiness Scorecard last week. A third person wants to know if the Kubernetes migration is blocking the launch next Thursday. The answers exist. They live in Cortex. But getting them into the thread means someone stops what they're doing, opens a tab, finds the data, and pastes it back. By the time they do, the conversation has moved on.

ShipTalk Season 4 Finale: Engineering Excellence at AWS re:Invent

Welcome to the Season 4 finale of the Ship Talk podcast! Join special host Thomas Dockstader and several industry leaders at AWS re:Invent to discuss the intersection of AI and software delivery. The following is a series of interviews with partners, customers, and engineering leaders on the front lines of AI transformation. Don't miss the "Ship It or Skip It" segment, where our guests give their rapid-fire takes on everything from AI code reviews to the four-day work week.

Split your Bitbucket Pipelines workflows across multiple files | Bitbucket Blitz | Atlassian

Building and maintaining a 2000+ line bitbucket-pipelines.yml can be a lot of work. Now you can split large bitbucket-pipelines.yml files into multiple, smaller pipelines.yml files. These smaller files can be composed via shared pipeline syntax to replicate the functionality of the original bitbucket-pipelines.yml file. They can also be shared with and reused in other repositories.