Minimizing Microservices Complexity with Reusable APIs
Sep 27, 2021 · 17 min read
Developers build modern enterprise applications on the orchestration of a complex network of microservices. Over time, as the number of applications and microservices increases, the complexity of the orchestration increases as well. Complexity in typical microservices architecture Reusable APIs address the problem of complexity by allowing multiple applications to rely on a few independent microservices that expose the data and functions of their domain. Why Should We Build Reusable APIs?
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Three Fundamental Components of a Reusable .NET Microservices Platform
Sep 26, 2021 · 9 min read
Development teams frequently need to build new microservices to either add new functionality or replace existing microservices. However, microservices must support some standard features such as providing insight into their health through logging, allowing monitoring, and following the organization’s security standards. A reusable microservices platform can help developers jumpstart the development process by providing reusable components that they can use to build new microservices. To implement a reusable microservices platform, you can use the sidecar pattern or build NuGet packages that are installed in every microservice.
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Limit Communication Between Microservices with Kubernetes Network Policies
Aug 31, 2021 · 5 min read
🎁Special Giveaway@ManningBooks just launched Microservices in .NET, Second Edition by @chr_horsdal I am giving one away to my Tweeple ♥ Rules: 1. 👉🏻 Follow me 2. 🔃 Retweet this tweet#contest #giveaways #ebooks #dotnet #microservices pic.twitter.com/OWBc5wiMtM — Rahul Rai (@rahulrai_in) August 31, 2021 Security is an important concern for microservices applications. Although security is a broad topic, I want to zoom into a critical aspect: limiting communication between microservices. By default, microservices platforms such as Kubernetes allow unconstrained communication between services.
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Versatile Events in Event Driven Architecture
Aug 12, 2021 · 10 min read
Simple applications rely on synchronous request-response protocols. It is one of the most common patterns we encounter every day in applications and websites where you press a button and expect a response. As the number of services increases, the number of synchronous interactions between them increases as well. In such a situation, the downtime of a single system also affects the availability of other systems. Synchronous interaction channels between services Google defines a set of principles and practices for attaining a high Service Level Agreement (SLA) by increasing the SLA of individual services.
Persistent Volume Management and Expansion in Kubernetes with Azure Kubernetes Service
Jul 17, 2021 · 9 min read
Applications or databases running out of disk space are a common issue that the Operations team addresses regularly. This problem has existed since the days we used to host applications on bare metal servers and is still present in virtualized and container environments. However, since we have reached a stage where the compute and storage systems are decoupled from each other, granting additional storage to applications rarely requires updating the application or modifying the underlying application host infrastructure.
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Bulk Copy Data Sharing Pattern for Applications in Azure with Data Explorer, Data Factory & Cosmos DB
Jul 12, 2021 · 12 min read
🎁Special Giveaway@ManningBooks just launched Data Engineering on #Azure by @vladris. I am giving away 5 eBooks to my Tweeps!! Rules 👇🏻 ♥ Like 👉🏻 Follow me 🔃 Retweet and tag your friends in comments who may be interested#contest #giveaways #ebooks pic.twitter.com/hc7jNqCj25 — Rahul Rai (@rahulrai_in) July 12, 2021 In the initial stages of a data platform development, data size is small, and you can easily share it via email or services such as Power BI.
Building Reliable Kafka Producers and Consumers in .NET
Jun 30, 2021 · 9 min read
Sending messages reliably and quickly between services is a core requirement for most distributed systems. Apache Kafka is a popular, durable message broker that enables applications to process, persist and re-process streamed data with low latency, high throughput, and fault tolerance. If you are a beginner in Kafka, please consider reading the articles in my Apache Kafka series to get up to speed in no time. One of my Twitter friends, among others, reached out to me to understand how to implement retries in Kafka.
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Crosspost Tweets to LinkedIn with Power Automate
Jun 01, 2021 · 3 min read
Do you want your LinkedIn audience to know what you are up to on Twitter? Here’s how I have set up Power Automate to crosspost specific tweets to LinkedIn. What is Power Automate Power Automate is one of the products of the Microsoft Power Platform family. It is a web-based service that helps you create automated workflows between your favorite apps and services to synchronize files, get notifications, collect data, and more.
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Product Lifecycle: Ash Maurya Model
May 23, 2021 · 6 min read
As an engineer, to succeed in product development, you have to change your perspective and move from valuing technology or the product to focusing on the business model. As an entrepreneur or a product manager, you have to understand that you are not developing a product but a business model. A product manager must continually ask themselves the question: What is the minimum experiment I should do next to minimize uncertainty (or learn) the most?
Practical Top-down Resource Monitoring of a Kubernetes Cluster with Metrics Server
May 15, 2021 · 7 min read
You might have previously used observability tools such as Prometheus, Azure Monitor, AWS Container Insight, or commercial products such as Logic Monitor to monitor your Kubernetes cluster. Let’s probe the Kubernetes magic that makes the beautiful CPU and memory dials tick on the monitoring dashboards. Kubernetes has a built-in Metrics API (see spec.) and a simple CLI query, kubectl top (documentation), that you can use to fetch a snapshot of the CPU and memory consumption of a Kubernetes object.
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