Forum Widgets
Latest Discussions
Centralized Logging in Azure Proven Observability Patterns for Modern Apps
As modern applications move to distributed and cloud-native architectures, observability becomes critical for ensuring system reliability, diagnosing issues, and improving performance. Among the three pillars of observability—logs, metrics, and traces—logs often form the foundation for troubleshooting. However, in distributed environments, logs are scattered across multiple services, making centralized logging an essential pattern. https://dellenny.com/centralized-logging-in-azure-proven-observability-patterns-for-modern-apps/Riding in Tandem Unlocking the Sidecar Pattern in Azure Microservices
In the world of cloud-native applications, microservices bring agility, scalability, and speed. But with this modular approach comes complexity: logging, monitoring, proxying, and configuration often become tricky. That’s where the Sidecar Pattern steps in — and Azure makes it easier than ever to implement. https://dellenny.com/riding-in-tandem-unlocking-the-sidecar-pattern-in-azure-microservices/
Network Design Ideas for VMs
I am analyzing the current Azure environment at my new job and trying to figure out the architectural choices mostly networking wise. Currently, we have 10 VMs and each VM has its own VNet and they are all in the same region. In my experience so far, I have never seen such network design in Azure before.Building a Fully Secure Architecture Integrating Azure OpenAI
As AI adoption accelerates, organizations must ensure that AI services are secure, scalable, and compliant with enterprise security policies. Azure OpenAI Service provides powerful AI capabilities, but securing access to it is crucial when integrating with applications. In this blog, we will explore how to build a fully secure architecture by integrating Azure OpenAI Service with Azure API Management (APIM), Private Endpoints, and Applications. https://dellenny.com/building-a-fully-secure-architecture-integrating-azure-openai-with-apim-private-endpoints-and-applications/Service Mesh Architecture Pattern in Azure
As organizations modernize applications using microservices and cloud-native architectures, managing how these services communicate becomes increasingly complex. Microservices often run across distributed environments, scaling dynamically, and interacting over the network. This is where the Service Mesh architecture pattern comes in — providing a dedicated infrastructure layer for service-to-service communication, security, and observability. In the Azure ecosystem, implementing a Service Mesh can simplify operational challenges while improving reliability and control of microservices deployments. https://dellenny.com/service-mesh-architecture-pattern-in-azure-handling-service-to-service-communication-security-and-observability/Understanding Architecture Patterns A Guide for Software Architects
In the world of software development, architecture patterns play a crucial role in designing scalable, maintainable, and high-performing systems. As an architect, choosing the right pattern for your application can significantly impact its success. This blog explores common architecture patterns, their use cases, and when to apply them. https://dellenny.com/understanding-architecture-patterns-a-guide-for-software-architects/Event Based Design Architecture Pattern in Azure
Event-driven architecture (EDA) is a design pattern that enables applications to respond to real-time events rather than relying on traditional request-response communication. In the cloud-native ecosystem, EDA is particularly powerful for building scalable, loosely coupled, and resilient solutions. Azure provides a robust set of services to implement event-based design, ensuring seamless integration and high availability. https://dellenny.com/event-based-design-architecture-pattern-in-azure/How are schemas used and defined in Azure and wih Azure Data Studio?
I had thought that a database schema was the name of the structure on which tables are interconnected by primary keys and foreign keys. But in the tool, Azure Data Studio, the user is asked to select from a pre-defined set of schemas when creating a table. What is more is that when setting up or createing a database through Azure, we are given the opportuniityh to use a sample database and this is where "SalesLT" comes from and so there must be some place where we can define a schema with Azure Data Studio. Where would that be? It was generated when deciding to use a demo sample database. So there must be some way, using SQL code or otherwise, to generate a schema.Secret Store Pattern in Azure Using Secure Vaults for Credentials and Secrets
In today’s cloud-native applications, securing sensitive information such as API keys, passwords, connection strings, and certificates is non-negotiable. Hardcoding secrets or storing them in configuration files is a major security risk. This is where the Secret Store Pattern comes into play. https://dellenny.com/secret-store-pattern-in-azure-using-secure-vaults-for-credentials-and-secrets/
