Operations | Monitoring | ITSM | DevOps | Cloud

Securing the Invisible: Why Ambient AI Needs Next-Gen Security

If, like me, you’re continuously striving to keep pace with the ever-evolving world of artificial intelligence, you’re probably hearing a lot about how Ambient AI is poised to dominate discussions and developments throughout the second half of 2025. Ambient AI refers to artificial intelligence systems that operate unobtrusively in the background of our daily environments, constantly sensing, analyzing, and responding to various inputs without explicit human interaction.

Bridging the Gap: 3 Practical Strategies to Align Security and Operations in DevOps

The gap between security operations and IT operations poses significant risk. It’s increasingly clear that DevOps leaders, IT managers, and enterprise teams face an uphill battle to manage growing threat complexity, endless patches, and compliance requirements while operating in silos. Bridging this gap is essential to effectively manage risks and enhance operational efficiency.

PagerDuty Named a Leader and Outperformer in the 2025 GigaOm Radar for AIOps

There’s no shortage of hype around AI in operations, but recognition from a trusted source like GigaOm cuts through the noise. We are excited to share that PagerDuty earned a top spot as a Leader and Outperformer in the 2025 report. It’s recognition that reflects the progress we’ve made in delivering an AI-powered platform that actually helps teams move faster, reduce costs, and operate with confidence in complex environments.

Applying AI/ML in Observability - Tech Talk #7

Ready to master anomaly detection? Join us for Part 2 of our "Applying AI/ML in Observability" series, where we do a deep dive into vmanomaly! In this live stream, Mathis and Marc will be joined by a very special guest: Fred Navruzov, the lead developer and mastermind behind VictoriaMetrics' vmanomaly. If you want to move beyond the basics and unlock the full potential of AI-driven observability, this is a session you can't afford to miss.

Automated Seer in Under 2 Minutes

What if you had 5 errors, and instead of coming back to 5 issues in your feed, you got 5 pull requests fixing them? Seer is Sentry's new AI Debugging agent. it's able to stitch together all the context from your logs, stack traces, distributed tracing, codebase, and issues and figure out what broke, where, and how to fix it. Seer automation lets you automate that flow - and end up with a nice PR waiting for you to merge if it looks good. Check it out!

Running AI without blowing up your storage

Storage is often underestimated: In infrastructure discussions, compute and networking get most of the attention, while storage is treated as secondary. For AI workloads, that can be a costly oversight. Data throughput for specialized hardware: AI infrastructure powered by GPUs can process massive volumes of data at unprecedented speeds. This puts immense pressure on the storage system to keep up. Scale-out performance: An on-prem, scale-out, software-defined storage setup allows you to meet high performance demands, grow capacity as needed, and stay in control of infrastructure costs.

Building your AI infra, our tips

Modular architecture: Decouple compute from storage so each can scale independently. This makes it easier to adapt to growing or shifting workloads over time. Future-ready hardware: Select GPUs and CPUs not just for current workloads but with an eye on scalability, including support for newer accelerator types. Scalable design: Ensure the system allows seamless addition of compute nodes or storage without a full redesign.

What Are Packet Bursts: Causes, Fixes & How to Find Them

Have you ever been in the middle of an important video call, only for it to glitch or freeze out of nowhere? Or did an application suddenly slow down right when you needed it most? These frustrating moments can often be caused by something hidden in the background: packet bursts. But what exactly are packet bursts, and why do these sudden surges in data traffic catch you off guard when your network seems steady? Are they just random spikes in the data flow, or is there something deeper causing them?