Operations | Monitoring | ITSM | DevOps | Cloud

Cloud Outage Response: Lessons From July's Bad Week

In a single week, two of the largest cloud providers on earth failed at almost the same time, and a good chunk of the internet went with them. Effective cloud outage response stopped being a theoretical exercise and became the difference between a calm 30 minutes and a chaotic afternoon for thousands of on-call engineers. On July 23, 2026, a maintenance bug inside Microsoft Azure pulled IP routes off more devices than intended in the West US region, cutting Microsoft 365 access for millions.

Best Alternatives to Google Forms for Enterprise (2026)

Google Forms is free, familiar, and perfectly fine for a quick survey, but it wasn't built for the enterprise. Once you need real security and compliance, deep CRM integration, governed access, branded experiences, and automated workflows, its limits show fast. Enterprises collecting sensitive or business-critical data need more than a simple form can offer. The good news is that there are mature, enterprise-grade alternatives that keep the ease of online forms while adding the security, integrations, and control large organizations require. Below are the strongest options and where each fits.

Cloud Outage Response: AWS us-west-2 Lessons

Cloud outage response got another live fire drill on July 24, 2026, when AWS lost network connectivity between its us-west-2 region in Oregon and the Seattle metro. For most customers the pain lasted about 20 minutes, and a small set on AWS Direct Connect saw errors for roughly an hour and seventeen minutes. That is short as major cloud incidents go. What makes it worth your attention is not the duration.

AWS Outage Incident Response: What July 24 Taught Us

On the morning of July 24, 2026, a large slice of the internet blinked out at once. An AWS outage centered on the US-West-2 region in Oregon rippled outward and took DoorDash, Reddit, Hulu, Apple Pay, Snapchat, Fortnite, and the PlayStation Network offline for millions of users. If your team runs anything on Amazon Web Services, this is the incident to study, because the hard part was never fixing AWS. The hard part was AWS outage incident response.

Agentic Pipelines | Bitbucket Blitz | Atlassian

Most CI/CD pipelines are fragile bash scripts that break when things change. What if your pipeline could think? Agentic Pipelines lets you add AI agents as steps in Bitbucket Pipelines. In this video, I show an agent that reads a design spec from Confluence, generates frontend code, runs tests, and opens a PR, all inside a pipeline. With Agentic Pipelines, Bitbucket goes from a CI/CD platform to a full workflow and automation engine you can use far beyond builds and deploys.

Switching Between AI Agents Like This Is a Game Changer #ai #productivity

AI didn't just change how fast code gets written. It exposed a new bottleneck: everything around the code. Reviews slow down. Context gets lost. Planning drifts from implementation. Teams move fast and still feel stuck. That's the problem GitKraken is built to solve, and this Friday we're going live to walk through what's changed. We'll cover the latest Code Flow Company features we've shipped, how they connect developers, AI agents, and production into one system, and what it actually looks like to go from plan to main without the chaos.

Code Flow Live: What's New and Why It Matters

AI didn't just change how fast code gets written. It exposed a new bottleneck: everything around the code. Reviews slow down. Context gets lost. Planning drifts from implementation. Teams move fast and still feel stuck. That's the problem GitKraken is built to solve, and this Friday we're going live to walk through what's changed. We'll cover the latest Code Flow Company features we've shipped, how they connect developers, AI agents, and production into one system, and what it actually looks like to go from plan to main without the chaos.

AI ROI: From Adoption to Business Proof

AI adoption is easy to report. Business impact is harder to prove. Engineering leaders are under pressure to show what AI is actually changing — not just who is using it, but whether it is improving delivery, quality, developer experience, and business outcomes. This discussion between 3 engineering leaders explores how to move beyond vanity metrics, build a practical measurement approach, and communicate AI’s value to executives and CFOs with more credibility and less hype.