Operations | Monitoring | ITSM | DevOps | Cloud

The AI SRE landscape has exploded over the past year, with vendors racing to add artificial intelligence capabilities to their platforms. For engineering leaders evaluating these solutions, the sheer number of options can feel overwhelming. Some vendors are building AI-native solutions from scratch, while others are retrofitting AI onto existing workflows. Cloud providers are embedding agents into their ecosystems, and observability platforms are adding intelligence layers to their telemetry data.

A few weeks ago, on 20th October 2025, AWS suffered a widespread outage in its US-EAST-1 region that affected a large number of customers globally. More than 1,000 apps and websites were impacted including major banks and popular games, streaming and social platforms such as WhatsApp, Snapchat, Fortnite and Pokémon Go.

OpsGenie is shutting down. And Atlassian recommends migrating to Jira Service Management (JSM). But if you’re not sure JSM is the right fit for your team’s on-call management needs, this review will help you decide. I signed up for JSM and put it through real-world testing. I created on-call schedules, rotations, and overrides. Then, I reviewed JSM’s on-call management across 4 key criteria. For each criterion, I shared what I liked and what I didn’t.

Managing alert routing in complex environments is hard. When events occur, alerts must reach the right people at the right time, but traditional alert sources struggle with sophisticated, context-aware routing. Event Flows is ilert’s node-based workflow system at the heart of our alerting infrastructure. It enables intelligent event processing, time- and context-based routing, and safe automation, so teams reduce alert fatigue and accelerate incident response. ‍

For large enterprises, the health and resilience of Business Services define customer experience and business reputation. Yet as technology estates grow in complexity, fragmented toolsets and siloed teams make it difficult to maintain service availability and prevent incidents before they impact the business and ultimately, customers.

Artificial Intelligence has become the sharpest tool in the digital arsenal – detecting anomalies, predicting failures, and uncovering risks before they unfold. Yet even the smartest system can’t roll up its sleeves and fix what’s broken. AI can see the problem. But only people can solve it. That’s the critical gap in today’s automation revolution: turning AI’s insight into human action.

On October 19th and 20th, 2025, the AWS region US-EAST-1 suffered a massive outage. What started with a 3-hour Amazon DynamoDB outage from a DNS issue led to an Amazon EC2 outage that lasted an additional 12 hours before normal service was restored. Over the course of the outage, there were over 17 million outage reports as companies like Snapchat, Roblox, Amazon, Reddit, Venmo, and more were impacted.