Operations | Monitoring | ITSM | DevOps | Cloud

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.

This article examines how enterprises can eliminate configuration drift, strengthen security, and streamline Terraform and OpenTofu workflows through centralized variable management and secure provider distribution. It highlights how Harness IaCM’s Variable Sets and Provider Registry bring consistency, governance, and automation to IaC at scale while transforming how platform teams manage configuration, secrets, and custom integrations across every environment.

Today, we are introducing some new on-call features: Add Gaps to on-call, Scheduled Layers, Handoff Days, and more. Flexibility in on-call schedules has been the single focus point in this release. These features give you much finer control over when people are on-call, how handoffs work, and what your schedule looks like around holidays and time off.

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.

Every December, Spotify launches its infamous Wrapped campaign, which sends millions of users into a frenzy about their listening habits. They become pseudo data scientists and analyze how frequently they listen to their guilty pleasures, their kids' terrible playlists, or the music they love that nobody else has heard of yet. We love this tradition, so we're bringing it to Cortex.

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!

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.

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.