Articles

3 Reasons for the Mounting Demand for Smart Cloud-Native Application Development

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“Business agility, scalability, and flexibility are critical to succeeding in the contemporary digital environment. With cloud-native application development, companies can attain all these success parameters.”

Cloud-based solutions ensured connectivity, accessibility, availability, and business continuity when the COVID-19 crisis forced companies to build remote working models. Gradually, as companies started to realize the benefits of technological advancements, including Microservices, APIs (Application Programming Interfaces), Kubernetes containerization, and server-less architecture, the demand for cloud-native application development mounted simultaneously.

Source de l’article sur DZONE

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Manage Microservices With Docker Compose

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As microservices systems expand beyond a handful of services, we often need some way to coordinate everything and ensure consistent communication (avoid human error). Tools such as Kubernetes or Docker Compose have quickly become commonplace for these types of workloads. Today’s example will use Docker Compose.

Docker Compose is an orchestration tool that manages containerized applications, and while I have heard many lament the complexity of Kubernetes, I found Docker Compose to have some complexities as well. We will work through these along the way and explain how I solved them.

Source de l’article sur DZONE

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Advancements in Cloud-Native and Kubernetes Observability

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This is an article from DZone’s 2022 Kubernetes in the Enterprise Trend Report.

For more:

Read the Report

In today’s world, it’s more important than ever to have visibility into your system’s performance and health. Modern applications rely on complex microservices architectures and cloud-native technologies, like Kubernetes. Observability helps us understand not just application behavior, but also infrastructure configuration changes and dependencies, as they happen in real-time. 

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IBM App Connect Operators

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If you’re relatively new to Kubernetes, or not entirely sure what an Operator is, and why IBM created one for IBM App Connect, this post is for you. 

You do not have to use the Operator to use IBM App Connect in containers. However, we aim to show how the Operator significantly simplifies Kubernetes deployment.

Source de l’article sur DZONE

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Renovate, a Dependabot Alternative

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I won’t introduce Dependabot. Lots and lots of developers use it daily on GitHub. I do use it as well. However, it suffers from two drawbacks:

  • While it’s perfectly integrated with GitHub, integrations with other platforms are less seamless.

  • It’s limited in the list of ecosystems it supports For example, I generally use Docker Compose files for my demos. When necessary, I use Kubernetes. Dependabot supports none.

    Source de l’article sur DZONE

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Kubernetes Data Simplicity: Getting Started With K8ssandra

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You might have heard about the K8ssandra project and want to start contributing, or maybe you want to start using all of its features. If you aren’t familiar with K8ssandra (pronounced like “Kate Sandra”), you can read this overview before digging into the developer activities in this post.

In a nutshell, K8ssandra is an open-source distribution of Apache Cassandra™ for Kubernetes, which includes a rich set of trusted open-source services and tooling. K8ssandra comes with handy features that are baked-in and pluggable, which allows for flexible deployment and configuration.

Source de l’article sur DZONE

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The Open Source Way to Rightsize Kubernetes With One Click

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Rightsizing resource requests is an increasing challenge for teams using Kubernetes—and especially critical as they scale their environments. Overprovisioning CPU and memory lead to costly overspending, but underprovisioning risks CPU throttling and out-of-memory errors if requested resources aren’t sufficient. Dev and engineering teams that don’t thoroughly understand the live performance profile of their containers will usually play it safe and request vastly more CPU and memory resources than required, often with significant budget waste.

The open source Kubecost tool (https://github.com/kubecost) has had a Request Sizing dashboard to help Kubernetes users bring more cost efficiency to their resource requests. One of the tool’s most popular optimization features, the dashboard identifies over-requested resources, offers recommendations for appropriate per-container resource requests, and estimates the cost-savings impact of implementing those recommendations. The dashboard utilizes actual usage data from live containers to provide accurate recommendations. However, leveraging the dashboard has included some hurdles, requiring users to manually update YAML requests to align resource requests with Kubecost recommendations or introduce integrations using a CD tool. 

Source de l’article sur DZONE

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Securing Kubernetes Secrets With HashiCorp Vault

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As more and more organizations making the shift to cloud-native technologies, Kubernetes has become the de facto choice to orchestrate container-based applications. As applications grow in size, the number of microservices increases and so does the data they process. Hence, handling data, especially sensitive data becomes critical. Out of the box, Kubernetes supports « Secrets » objects to store sensitive information — like passwords, tokens, ssh keys, and so on — securely.

Kubernetes secret eliminates the need to hard-code sensitive data in the application code. Secrets provide this sensitive information as data mount or expose them as environment variables.

Source de l’article sur DZONE

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How to Manage a Red Hat MicroShift Cluster with Shipa

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For developers working with low-resource environments that nevertheless wish to harness the full advantages of Kubernetes, the open-source Red Hat MicroShift project and Shipa (an application-as-code platform you can spin up for free) offer a rather compelling pairing. In this article, I’ll take you through the steps of using MicroShift to set up a lightweight Kubernetes distribution, and then manage the same cluster using the “free forever” version of Shipa Cloud. 

But first, why MicroShift? A research project started by Red Hat, MicroShift is built for running Kubernetes clusters in environments with tight resource constraints, such as edge and IoT devices. It’s a memory-optimized lightweight flavor of OpenShift/Kubernetes, and currently supports Fedora, RHEL, and CentOS Linux distributions. Shipa fits in here by helping solve some of the usual problems faced by developers and platform operators. It lets developers focus on what they’re good at and want to do (building applications) and reduces the time platform operators spend on deployments and governance. Onboarding MicroShift to Shipa offers some nice benefits by making it possible to manage multiple clusters from an administration and operations perspective. 

Source de l’article sur DZONE

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Managing Applications in Kubernetes With the Carvel Kapp Controller

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Any typical enterprise-grade application deployed on Kubernetes comprises several API resources that need to be deployed together. For example, the WordPress application, which is one of the example applications available on the Kubernetes GitHub repository, includes:

  • a wordpress frontend pod,
  • a wp-pv-claim persistent volume claim mounted to the frontend pod,
  • a wordpress-mysql MySQL database pod,
  • a mysql-pv-claim persistent volume claim mounted to the MySQL database pod,
  • two persistent volumes: wordpress-pv-1 and wordpress-pv-2 to serve the persistent volume claims,
  • services for the database and frontend pods.

Application (or app) is not a native construct in Kubernetes. However, managing applications is the primary concern of the developers and operations. Application delivery on Kubernetes involves upgrading, downgrading, and customizing the individual API resources. Kubernetes allows you to restrict the spread of your application resources through namespaces such that you can deploy an entire app in a namespace that can be deleted or created. However, a complex application might consist of resources spread across namespaces, and in such cases answering the following questions might be a challenge:

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