Operations | Monitoring | ITSM | DevOps | Cloud

As digital operations grow increasingly more complex, resilience is no longer optional, it’s essential. The next major outage isn’t a question of if, but when. And when it hits, the gap between true enterprise platforms and brittle point tools will become impossible to ignore.

Looking for the best on-call scheduling software for your team? Or maybe you’re exploring alternatives to your current tool? Signing up for different on-call tools and testing them all takes weeks. That’s a lot of time you probably don’t have, especially when you need reliable on-call coverage now. That’s why I did the heavy lifting for you. I signed up for and tested the 5 popular on-call scheduling tools in the market: Spike, PagerDuty, Incident.io, Splunk Oncall, and OpsGenie.

- Alvin Toffler History offers us a powerful lens for the present. The Second Industrial Revolution didn't just make factories faster; the advent of electricity and the assembly line fundamentally reinvented how societies were organized. Manual labor was augmented, displacing millions from agriculture while simultaneously creating entirely new classes of work in manufacturing and engineering. Productivity soared, not because people worked harder, but because the very definition of work was transformed.

On a recent episode of The Product Manager podcast, Cortex CEO Anish Dhar joined host Hannah Clark to challenge a growing narrative: that software engineering is obsolete in the age of AI. His take? Engineering isn’t disappearing, it’s maturing. At Cortex, we work with some of the most forward-thinking engineering organizations at companies like Canva and Fanatics.

Managing today's complex enterprise infrastructure presents significant challenges — from siloed data and steep learning curves to time-consuming troubleshooting. As the pace of business accelerates and infrastructure demands grow, these obstacles are increasingly difficult to overcome. That’s why we built Infra Assistant, a new AI capability in Puppet Enterprise Advanced, powered by Perforce Intelligence.

AI is changing how we build software — but debugging code still comes down to having context. One minute the model’s performance is cruising. The next, you’re hit with a KeyError from a tool you forgot existed, triggered by a model that silently timed out, and a retrieval call that returns... nothing, or 11 “Let me try this a different way" messages before failure. You’re stitching together LLM calls, agents, vector stores, and custom logic. Then hoping it holds up in prod.

Stateless architecture that auto-scales no matter your data, usage, and performance needs How do you take a stateful, performance-critical system like Elasticsearch and make it serverless? At Elastic, we reimagined everything — from storage to orchestration — to build a truly serverless platform that customers can trust. Elastic Cloud Serverless is a fully managed, cloud-native platform designed to bring the power of Elastic Stack to developers without the operational burden.

Elastic Cloud Serverless provides the fastest way to start and scale security, observability, and search solutions — without managing infrastructure. Today, we are excited to announce the general availability of Elastic Cloud Serverless on Microsoft Azure — now available in the EastUS region. Elastic Cloud Serverless provides the fastest way to start and scale security, observability, and search solutions without managing infrastructure.

SLOs are key for improving user satisfaction, prioritizing engineering projects, and measuring overall performance. Given the important role that SLOs play in determining organizational benchmarks, teams need to ensure that SLO metrics—also called service level indicators (SLIs)—are reported accurately and maintained consistently within an acceptable range.

As we previously reported on April 26, 2025, we had a security incident via an insecure GitHub Action and we have since published a post-incident review. We have confirmed that there has been no code modification, unauthorized access to production systems, exposure of customer data, or access to personal information.