Insights

Autoscaling is a transformative approach for modern cloud-native application architectures, particularly within Kubernetes and microservices environments. As the adoption of these technologies accelerates, implementing automated workload adjustments based on real-time demand becomes imperative.

In today's digital world, IT is both a driver of innovation and a significant contributor to environmental challenges. From energy-intensive data centers to outdated website practices, the technology we rely on comes at a cost.

The character was generated with Midjourney, and OpenAI generated the scene.

In my previous blog post, I promised to implement a multi-agent system using Amazon Bedrock. Please read the other blog for an introduction to multi-agent systems.

As a cloud professional, I constantly seek ways to streamline application delivery while reducing operational overhead. Whether you're building APIs, microservices, or event-driven backends, choosing the right platform can significantly impact speed to market and maintainability.

Welcome back to the Azure Kubernetes Chronicles! In previous episodes, we explored network-related topics like container network interfaces, eBPF, and observability in Azure Kubernetes Service (AKS). But securing an AKS cluster goes beyond networking and runtime security — it extends to protecting

A critical aspect of using AI Agents is the question: “Should I use an agent to do this or something else?” I want to consider this problem using the following example: When calling a service desk, do you want to go through seven menus on the phone and select the best option for the right person