Microservices is a software architecture pattern that splits an application into small, loosely coupled services that can be developed, tested and deployed independently.
Azure SQL Managed Instance is closer to traditional SQL Server and suits migrations of existing workloads, while Azure SQL Database fits independent databases and microservices. · When Azure SQL Becomes an Application…
Multi-Agent Systems, Copilot Studio, Microsoft Agent Framework, Intelligent Automation, AI Orchestration, Microsoft Foundry, Artificial Intelligence, David Lorenzo Lopez, MC65 Podcast, Generative AI, Autonomous Agents, Enterprise AI, Microsoft Azure…
In this episode of the M365.fm podcast, Mirko Peters explores why many microservice architectures gradually become slower, more fragile, and harder to manage despite originally being designed for speed and agility. What begins as a clean and scalable…
In this episode of the M365 FM Podcast, we explore why modern microservice architectures can quietly become “toxic” under pressure — not because services crash, but because they slow down. A single delayed dependency can silently trigger cascading latency…
Azure Container Apps is Microsoft's serverless platform for running containerized applications without managing Kubernetes clusters or virtual machines. Instead of worrying about infrastructure, scaling, and orchestration, developers can focus on building…
Most teams still treat Azure SQL as passive storage behind the application. In this interview, Dirceu Resende shows data engineers and architects how Azure SQL Database can call REST APIs, automate workflows and support AI with vector search. You learn where…
Choosing between a monorepo and multiple repositories may look like a technical decision about Git performance, build times, or repository size. In reality, it is an organizational decision that determines how teams communicate, coordinate changes, and…
This episode explains why attempts to integrate AI into enterprise systems fail not because of model intelligence, but because of unbounded action and brittle integrations. The core claim is that the Model Context Protocol (MCP) is not a plugin system, API…
Mastering Microservices Routing with an API Gateway · Mirko Peters In today's fast-paced tech world, you might feel overwhelmed by the complexity of modern applications. With the rise of microservices and cloud computing, the way y…
Simplifying Microservices: Azure Container Apps vs. AKS · Mirko Peters When modern development teams set out to build scalable, cloud-native applications, containerization quickly becomes the standard approach. However, managing contai…
Avoiding the Distributed Monolith Trap in .NET Microservices · Mirko Peters When engineering teams transition from a monolithic application to a microservice architecture, they are usually chasing a very specific set of promises: faster fea…
Which metrics should be monitored in microservices?
Monitor response times and error rates, and use observability tools to find bottlenecks early. These metrics show slowdowns before a distributed system becomes fragile and hard to manage. · From the episode: Why Microservice Architecture Slows Software…
Circuit breakers block toxic requests and protect resources when a dependency fails or slows down. Instead of waiting on a struggling service, callers fail fast, which limits cascading latency. · From the episode: Microservice Dependency Poisoning and…
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