Operations | Monitoring | ITSM | DevOps | Cloud

AI-driven caching strategies and instrumentation

The things that separate a minimum viable product (MVP) from a production-ready app are polish, final touches, and the Pareto 'last 20%' of work. Most bugs, edge cases, and performance issues won't show up until after launch, when real users start hammering your application. If you're reading this, you're probably at the 80% mark, ready to tackle the rest.

How To Design AI-Native SaaS Architecture That Scales Without Killing Your Margins

AI-native SaaS products aren’t failing because the models are bad. They’re failing because the architecture can’t keep up with how AI actually behaves in production. What looks affordable in staging can erode your margins once real customers, workflows, and automation come into play. Designing AI-native SaaS architecture is now as much a margin decision as it is a technical one.

Rovo Dev Code Review in Bitbucket and GitHub | Bitbucket Blitz | Atlassian

The demo portion of a recent webinar I did shows how to setup, configure, and use Rovo Dev code review in both Bitbucket and GitHub. Learn how to add custom coding standards to your repositories and see Rovo Dev check for the specific things you care about during code reviews. Learn how to add acceptance criteria to your Jira work items and see Rovo Dev verify them during code reviews.

Context Management for Agentic RAG | Johan Jern, Co-founder & CTO at Realm

Some queries are hard to solve with "basic" RAG. When questions require multi-step reasoning, full-document understanding (not just chunks), or aggregating many results that match specific criteria, simple retrieve-and-generate pipelines break down, we need agentic RAG. But this added capability comes at a cost: as agents plan, search, read, and iterate, they quickly use up a lot of context, which both degrades answer quality and increases costs and latency.

#053 - The Road to Distributed AI and Kubernetes Infrastructure with Matt Butcher (Fermyon) & Ari...

They share their professional origins, highlighting how Kubernetes transitioned from a complex tool for experts to a foundational technology for global enterprises.. Part of the conversation focuses on the history of Helm, explaining its growth from a simple hackathon project into a standard package manager. Another part takes on the future of distributed computing, specifically how Akamai is integrating infrastructure as a service to support modern workloads.

Top Legacy Application Modernization Companies

Here's the uncomfortable truth: most large enterprises are powered by technology older than their digital ambitions. Banks clear payments on legacy cores. Airlines coordinate fleets on systems built before cloud computing. Healthcare providers rely on infrastructure never designed for today's cybersecurity climate. According to multiple enterprise IT studies, organizations spend the majority of their technology budgets maintaining existing systems rather than building new ones. In some sectors, maintenance absorbs close to 70% of total IT spend.

How AI Is Empowering Frontline Workers to Become Brand Storytellers

Frontline workers are the face of every customer-facing organization. They interact with clients, solve problems in real time, and witness the moments that define a brand's reputation on the ground. Yet most organizations overlook their potential as authentic content creators and storytellers.

Claude outage - February 10, 2026

On February 10, 2026, Claude users around the world began reporting service failures affecting chat sessions, API integrations, and Claude Code workflows. The first verified outage report reached StatusGator at 19:33 UTC. StatusGator issued an Early Warning Signal at 20:24 UTC. Claude did not post an official “Investigating” update until 22:11 UTC. This incident clearly demonstrates the gap between real user impact and official status page updates.

Why Your Company Will Be Running OpenClaw Next Year

You’ve probably heard of OpenClaw. Maybe you’ve seen the demos where an AI agent opens a browser, navigates to your CRM, fills in a form, and files a support ticket. No API required. Maybe you thought “that’s cool but I’d never run that at work.” Your employees already are. According to Permiso’s research, 22% of enterprise customers have employees running OpenClaw without IT approval.

How AI Coding Is Breaking Synthetic Data Generation

Traditional synthetic data generation approaches, still called “Test Data Management” (TDM) by legacy vendor, were designed for a world where applications were monolithic, databases were the center of gravity and change happened slowly. The world looks a lot different now. Modern systems are distributed, often times event-driven, and increasingly powered by streaming data and AI agents. In this environment, batch-oriented synthetic data generation fails to capture how systems actually behave.