Operations | Monitoring | ITSM | DevOps | Cloud

Our July 2026 release incorporates the latest mobile device management features to secure the user, device, security and network so that enterprise data is protected, personal privacy is respected, and users have the access they need to be productive. What you’ll learn: The Modern Threat Landscape: Understand the latest mobile-specific threats, from sophisticated phishing attacks to malicious apps.

AI makes it easy to write more code. The question is whether that's actually a good thing.

A leading communications service provider partnered with @selector1327 to create an operational twin of its network, enabling faster root cause analysis and improved operational efficiency across a massive, multi-domain infrastructure.

A green uptime check only proves the server responded, not that customers can actually log in, search, and pay. Synthetic transaction monitoring runs your critical user journeys 24/7 from real locations and alerts your team the moment a flow breaks. Catch it before your customers do.

Instead of waiting for an alert to trigger a long, stressful triage and replication process, catch the issue before it reaches production by replaying real traffic against your code first.

View Kubernetes events in Last9 — across clusters, deployments, statefulsets, and even correlated with services.

Watch the full episode: MCP vs CLI: Does it even make a difference? Live Laugh Logs ep. 3.

See our latest retrospective and live updates. We're showcasing our new UI and navigation, Qoevry Skills and MCP, Copilot Read/Write Mode and much more! See live all the new features as the infrastructure platform for the agentic era!

You already have every error, trace, log, and replay in Sentry. Now let Seer, our agent debugger, do its thing: use that context to find what broke, why it broke, and how to fix it.

What does enterprise AI look like when the user is no longer human? In this episode of The Intelligent Enterprise, host Tom Stoneman sits down with Ash Ashutosh, CEO of Pinecone and a three-time founder, to explore the next evolution of AI infrastructure: from vector databases built for humans using chatbots, to knowledge engines designed for AI agents that need to understand context, take action, and get work done.