Operations | Monitoring | ITSM | DevOps | Cloud

Fair Source Software in the AI age

Have you noticed AI recently? Yeah, us too. Generative AI is wreaking havoc on the software status quo, and that includes licensing, and that generates … opinions. Sentry has a long history of having opinions about software licensing. We started life as an unlicensed side project in 2008, then went through BSD, to BSL, to writing our own license, FSL.

5 AI And Cloud Cost Problems That Are Now Everyone's Problem

Not long ago, cloud cost was an engineering problem. FinOps teams owned it, finance leaned in occasionally, and everyone else stayed out of it. Now, that’s changed. AI changed who has skin in the game. CFOs get asked about it in board meetings. CEOs field questions on earnings calls. The audience for cloud cost management has exploded — and that means the conversation CloudZero is built to enable isn’t only a technical one, it’s a business one.

Code Optimization: The Cloud Always Collects Its $2,000 Tuition Fee

We hear a lot of war stories from the teams we work with. Horror stories about cloud bills, surprise overages, and the infrastructure decisions that seemed perfectly reasonable at the time. This one comes from Erik Dasque, CTO at Allure Security. It involves a junior developer, a Kubernetes CronJob, and a recurring bill that, if not caught, would have happened on a yearly basis.

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.