The Cloud Blog

Cloud Computing, Cloud Native & Kubernetes by Rahul

Lab: Tip/Code sample 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 β™₯ Rules: 1. πŸ‘‰πŸ» Follow me 2. πŸ”ƒ 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.

#azure#kubernetes

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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.

#azure#architecture

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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.

#azure#kubernetes

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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 πŸ‘‡πŸ» β™₯ Like πŸ‘‰πŸ» Follow me πŸ”ƒ 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.

#azure#analytics

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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 myΒ 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.

#integration#programming

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Lab: Tip/Code sample 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.

#azure#automation

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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?

#product-management

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Lab: Tip/Code sample 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.

#kubernetes

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Distributed Tracing in ASP.NET Core with Jaeger and Tye Part 2 - Project Tye

May 08, 2021 · 10 min read

In this series: Distributed Tracing with Jaeger Simplifying the setup with Tye (this article) Tye is an experimental dotnet tool from Microsoft that aims to make developing, testing, and deploying microservices easier. Tye’s opinionated nature greatly simplifies the lifecycle of development and deployment of .NET Core microservices. To understand the benefits of Tye, let’s enumerate the steps involved in the development and deployment of the DCalculator application to Kubernetes:

#azure#programming#web

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Distributed Tracing in ASP.NET Core with Jaeger and Tye Part 1 - Distributed Tracing

Apr 26, 2021 · 7 min read

In this series: Distributed Tracing with Jaeger (this article) Simplifying the setup with Tye Modern microservices applications consist of many services deployed on various hosts such as Kubernetes, AWS ECS, and Azure App Services or serverless compute services such as AWS Lambda and Azure Functions. One of the key challenges of microservices is the reduced visibility of requests that span multiple services. In distributed systems that perform various operations such as database queries, publish and consume messages, and trigger jobs, how would you quickly find issues and monitor the behavior of services?

#azure#programming#web

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