Operations | Monitoring | ITSM | DevOps | Cloud

Jira issue status is often...wrong. Or at least misleading. If you're a project, product, or engineering manager, you need something more reliable to understand if work is going to land in time (and what needs your attention). Using Signals, available in Git Integration for Jira Advanced Edition, you get an activity-based view of what's actually going on with Jira issues.

Learn more about Checkly, the application reliability platform designed for modern engineering teams! Discover how Checkly enables you to quickly detect, communicate, and resolve production issues and explore the newly added uptime monitoring features, including URL, TCP, and heartbeat monitors. Configure and manage your entire monitoring setup using monitoring as code!

Reliability Intelligence draws on Gremlin expertise with every test to show you how the test failed and recommended remediation.

Discover how Alex Theg, founding software engineer at Tomorrow.io, builds software for satellites to deliver real-time, space-based weather intelligence. From managing legacy radar systems to optimizing data downlinks, learn how GitKraken helps launch high-stakes code into orbit (literally).

Ivanti Neurons' integration with Microsoft Entra ID allows you to enroll any device you manage by automating direct interactions with that device's user, keeping your environment efficient and secure.

Explore the latest updates in Windows, Ivanti Neurons, and mobile management. The Windows roadmap emphasizes the need for a server number URL for Windows 11. Ivanti Neurons improves device management by alerting admins about BitLocker key status. iOS updates enhance data plan preservation and network security, while ethernet authentication for iPads boosts management.

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Meet Dustin Kirkland, VP of Engineering at Chainguard. Dustin shares his fascinating 26-year journey in the tech industry, from IBM and two stints at Canonical to roles at Google (working on GKE), Apex, and Goldman Sachs, eventually leading him back to engineering at Chainguard.

This Product Klip covers Komodor's cost optimization features, highlighting how the platform helps users reduce Kubernetes spending while maintaining operational stability. Key features discussed include: Before activation, Komodor provides simulations of potential savings, and for activated clusters, it shows CPU and memory usage before and after Komodor's bin packing and the resulting dollar savings. Komodor enhances existing autoscalers rather than replacing them, unlocking up to 40% in additional savings.