Operations | Monitoring | ITSM | DevOps | Cloud

Managing IT for Witherslack Group does keep me up at night sometimes. Keeping our data secure is an ongoing challenge. When I say our data is sensitive, I mean a breach could genuinely destroy lives. We care for some of the UK's most vulnerable children: young people who have experienced sexual exploitation, kids whose parents cannot know their location, children from backgrounds most people could not imagine.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed, compliant Kubernetes service that simplifies running, managing, and scaling containerized applications. EKS automatically handles the availability and scalability of the Kubernetes control plane, allowing teams of any size or skill level to focus on building and deploying production-ready applications across diverse environments, including AWS, on-premises, and at the edge.

Today, we’re excited to announce our expanded partnership with Amazon, bringing together the power of Amazon Kiro, Amazon Q Developer, and Harness SaaS on AWS to revolutionize how your team builds, troubleshoots, secures, and deploys software. This collaboration is designed to deliver a seamless, intelligent, and scalable software delivery experience for all AWS customers.

We are on the ground with AWS and announcing innovations that give customers more powerful AI agents for incident management. These new and improved integrations bring PagerDuty context into the AWS ecosystem for faster resolution and more connected data across the business. And, with our new competency, we take this a step further by codifying these best practices into our joint customers’ day-to-day operations. Announced today, here are some of the highlights.

Artificial intelligence is changing the way we execute our everyday operations. AI assistants are incredibly intelligent; they can write code, explain complex concepts, and answer any question you throw at them. However, they can't execute actions on their own. If you ask your AI assistant to “create a backup of my database,” it may provide you with clear instructions, run the CLI commands directly or in some cases, even trigger actions through connected agent workflows.

The AI landscape today feels a lot like the early days of the cloud: exciting, fast-moving, and completely fragmented. Every week, engineering teams are experimenting with dozens of large language models (LLMs) from providers like OpenAI, Anthropic, Google, Mistral, Meta, and beyond. They’re tweaking prompts, testing model performance, swapping context windows, and even running multiple models in parallel to figure out which one works best for each unique use case.

Happy Holidays, and happy almost new year from us at CloudZero! November is always a busy time! In case you missed the headlines, here’s what happened last month in relation to cloud and AI costs: Get the details below!

This is the fifth blog in our Azure Monitoring series, and we’re focusing on what’s most critical: keeping your environment secure and always available. Performance and cost mean nothing if your services go offline or your data is compromised. In this post, we’ll highlight the Azure metrics that help CloudOps teams detect threats early, build resilience into their stack, and stay ahead of outages before they impact users or compliance. Missed our earlier posts? Catch up.

One year ago, at AWS re:Invent, we launched CloudZero Advisor, a free, standalone AI assistant that enables anyone to ask questions about cloud spend in plain language. It was the first experiment of its kind in FinOps, a chance to see what people really wanted to know when cost data finally became conversational. Over the past year, Advisor has become a learning engine.