Operations | Monitoring | ITSM | DevOps | Cloud

How GDIT Automated Early Response to Preserve Critical Event Context

In this video, Jason Boig, Solutions Engineer at GDIT, shares how his team uses ScienceLogic to streamline network infrastructure monitoring and improve response times. Instead of relying on manual processes after an alert is triggered, ScienceLogic helps automate the initial response and capture critical data the moment an event occurs. This ensures nothing is lost as conditions change and gives teams immediate visibility into issues.

How Does Skylar Advisor Cut Alert Noise?

What if you could start your day without hundreds of alerts? Skylar Advisor transforms noisy event streams into a short list of prioritized advisories by grouping related alerts and signals together. It shows what is happening in your environment, explains why it matters, and provides clear next steps so instead of chasing alerts, IT teams get guidance focused on real operational impact.

incident.io product showcase: Post-mortems

A full walkthrough of our completely rebuilt post-mortems experience. We cover AI-generated first drafts from your incident data, accuracy review, inline rewriting, a collaborative editor with live incident context, meeting notes with Scribe, and management tooling including dashboards, exports, and analytics. Post-mortems are included in incident.io Response. AI features and Scribe are available on Pro and Enterprise plans.

Beyond the pager: what to do when Opsgenie sunsets

OpsGenie is going away in 2027, forcing a migration decision for thousands of teams. But this isn't just a tooling swap — it's a rare chance to upgrade how you respond to incidents. Because the real pain in incident response isn’t paging. It’s everything that happens after the alert: coordination, clarity, communication, ownership, and follow-through. Most teams solve this through heroics and tool-juggling across chat, tickets, and docs. That approach doesn't scale.

Securing AI and Securing With AI: AI Security from Code to Runtime With Harness | Harness Blog

AI is changing both what you build and how you build it - at the same time. Today, Harness is announcing two new products to secure both: AI Security, a new product to discover, test, and protect AI running in your applications, and Secure AI Coding, a new capability of Harness SAST that secures the code your AI tools are writing.

Knowledge Graphs: The Backbone of AI-First Software Delivery | Harness Blog

--- ‍Key Takeaways --- AI can generate code in seconds. It still can’t ship software safely. That gap isn’t about model quality or prompt engineering. It’s about context, and most software organizations don’t have a system that accurately reflects how pipelines, services, environments, policies, and teams actually relate to each other. Without that context, AI doesn’t automate delivery. It amplifies risk.

From Data Chaos to Results: The New Data Strategy for the Agentic Era

The world is generating data at a pace that defies the human ability to draw insights and comprehend. By 2028, we’ll reach almost 400 zettabytes of global data—with over 55% of it coming from machines talking to machines. For enterprises, this isn’t just a storage problem; it’s an existential challenge.

5 Database Monitoring Tips Every DBA Should Use to Reduce Firefighting

This is a guest post from udara.ratnakumara. In a recent webinar I hosted with my colleague Chris Hawkins, Inside a DBA’s Day: What Really Happens and How to Stay Ahead, we talked through the realities of a typical DBA day and the practical ways teams can stay ahead of issues rather than constantly reacting. For many DBAs, the day doesn’t start with coffee. It starts with an alert. A report is suddenly slow. An application query is timing out.

Redgate Monitor is now available as a fully managed SaaS edition

This is a guest post from Phil James. Database teams are already juggling a lot. Monitoring the performance of complex, multi-platform estates takes expertise and focus — and that's before you factor in installing, maintaining, and updating the monitoring tooling itself. That's the tension we've been hearing from database teams for a while. The monitoring solution is supposed to reduce operational burden, yet the infrastructure that runs it adds more.