Operations | Monitoring | ITSM | DevOps | Cloud

When your service goes down at 3 AM, how do you communicate with your customers? This question keeps DevOps teams and customer success managers awake at night, and for good reason. The way you handle incident communication can make the difference between retaining customer trust and watching it evaporate. Status pages have become the standard solution for incident communication, but there's a critical decision every organization faces: should your status page be public or private?

Applying DORA principles to improve software delivery and operational performance with Google Cloud We’re thrilled to announce that Elastic has been honored with the 2025 Google Cloud DORA Award for Architecting for the Future with AI. Google Cloud DORA awards recognize organizations that have demonstrated significant advancements by applying DORA principles to improve their software delivery and operational performance with Google Cloud.

Choosing between Site Reliability Engineering (SRE) and DevOps can feel like picking between two similar but distinct philosophies. Both aim to improve software delivery and system reliability, but they take different paths to get there. Understanding these differences helps you make an informed decision about which approach aligns best with your organization's goals, culture, and technical needs.

When we think about saving the planet, we usually imagine solar panels, electric cars, or governments making sweeping climate policies. Rarely do we picture rows of blinking servers in a data center or IT admins patching endpoints. Maybe we should. In today's world, the intersection between technology and sustainability is becoming impossible to ignore, and the IT industry is right at the center of it. The truth is, IT is both part of the problem and part of the solution.

Currently, you’ll hear a lot about Copilot, Microsoft 365 security, and modern workplace innovation. But here’s the question: Who’s making sure it all actually works, every day, without interruption?

AI adoption is progressing at a rapid pace. What started as a trickle of generative tools is now a flood of autonomous agents, custom copilots, and AI-powered SaaS, most of it entering the workplace faster than IT can keep track of.

Artificial intelligence (AI) is now embedded in everyday professional workflows — so much so that 46% of employees say they would continue using AI tools even if their organization banned them. The productivity gains are undeniable, but this widespread, unmonitored use of AI also introduces growing risks around data security, compliance, and governance.