Reliability (Resiliency, availability, recovery) is part of one of the main pillars of the Azure Well-Architected Framework. It is essential for ensuring that applications and services remain operational and performant, even in the face of failures or unexpected events. Reliability encompasses various aspects, including fault tolerance, disaster recovery, and high availability.

Reliability is also a shared responsibility between the cloud provider (ie, Microsoft) and the customer. While Azure provides a robust infrastructure and services designed for reliability, customers must also implement best practices and strategies to ensure their applications are resilient and can recover from failures.

But a key question arises: How do we check the reliability (in this example, Zone redundancy of our Workload) ?

One of the tools we can use for this is the az zones command line tool.

Announced at Microsoft Build 2025, Planned maintenance is now generally available in Azure Container Apps. This feature allows you to control when non-critical updates are applied to your Container Apps environment to minimize downtime and impact to applications. Non-critical updates include minor security patches, bug fixes, and new releases.

The other day, I wrote an article about Deploy & Test KAITO on AKS with Visual Studio Code. One of the areas I showcased was testing the completion of the KAITO model within Visual Studio Code; however, I didn't touch on how to use the completion endpoint directly.

Azure Extended Zones are small-footprint extensions of Azure placed in metros, industry centers, or a specific jurisdiction to serve low-latency and data-residency workloads. Azure Extended Zones supports virtual machines (VMs), containers, storage, and a selected set of Azure services and can run latency-sensitive and throughput-intensive applications close to end users and within approved data residency boundaries.

Recently announced Azure Extended Zones in Perth, Australia, provide a new option for customers to run their workloads (make note only a subset of resources are compatible) closer to home.

This is particularly beneficial for industries that require low latency and data residency, such as finance, healthcare, and government.

Today, we will look at deploying Kubernetes AI Toolchain Operator (KAITO) straight from Visual Studio Code.