Articles

How to Use Shipa to Make Kubernetes Adoption Easier for Developers

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Kubernetes offers developers tremendous advantages… if they can overcome the platform’s inherent complexities. It can be a big « if. » Without additional tooling, developers aren’t able to simply develop their applications on Kubernetes, but must also become experts in writing complex YAML templates to define Kubernetes resources. A relatively new tool called Shipa provides an application management framework that largely relieves developers of this burden, enabling dev teams to ship applications with no Kubernetes expertise required.

Having recently put the tool to the test, this article will demonstrate how to install and utilize Shipa to simplify Kubernetes and ease some common developer frustrations.

Source de l’article sur DZONE

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Codeanywhere adventures – Creating your first container project (part 2)

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In the previous article in this series, we introduced the world of Codeanywhere, a cloud IDE and container development experience all available in just your browser.

Are you ready for some more amazing, easy to use, developer tooling that requires not a single tooling installation and no configuration?

Source de l’article sur DZONE

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Pass a Parameter to All JVMs in A Machine at The Same Time

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JAVA_TOOL_OPTIONS

Imagine a scenario where you need to change a JVM parameter, but you can’t or is not a good solution to changing the start script of your server(s).

One of the challenges we had, when we were working with containers, was a way to change a parameter to a JVM without building the docker image again.
The application at the start time should read a JVM parameter where a _user profile_was defined.
For specific reasons we sometimes need to change this profile, for instance, to use a more controlled user where we can debug an issue. In these situations, we want to stop the container/pod, change the profile and start again, or even start a different container with a different profile.

Source de l’article sur DZONE

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DevConf.US 2021 – Containers, OpenShift, architecture blueprints, and diagram tooling

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DevConf.US 2021 has kicked off their call for papers this last month and of course it will be a virtual event (hopefully for this one last time) hosted on September 2-3. It’s the 4th annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies coming to a web browser near you!

There is no admission or ticket charge for DevConf.US events. However, you are required to complete a free registration. Talks, presentations and workshops will all be in English.

Source de l’article sur DZONE

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Top Practices for Containers, Kubernetes

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Is your organization ready to move containerized workloads into production or yet struggling with these challenges? Adopting complex stateful workloads with many dependencies, deploying containerization tooling without well-framed DevOps practices, and becoming gripped into vendor lock-in faster may be a few of such challenges. Having the right DevOps team in place and finding out how Kubernetes integrates with your company’s technological infrastructure to undergo effective legacy application modernization should be the way out. As an organization, you should consider if you have the requisite roles and skillsets before adopting new technologies. You must decide on runtime and orchestration engines in technical terms while selecting containerization workloads with utmost care and attention.

With more than 70% of organizations running containerized applications in production, Kubernetes has emerged to be one of the most sought-after methods to organize containers. Here are a few of the Kubernetes best practices that ensure its adoption truly advancing container deployment.

Source de l’article sur DZONE

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Getting started with Java Serverless Functions using Quarkus and AWS Lambda

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The serverless journey started with functions – small snippets of code running on-demand and a short period in Figure 1.  AWS Lambda in the “1.0” phase made this paradigm very popular, but it had its limitations around execution time, protocols, and poor local development experience. 

Since then, developers realized that the same serverless traits and benefits could be applied to microservices and Linux containers. This leads us into what we’re calling the “1.5” phase in Figure 1.  Some serverless containers here completely abstract Kubernetes, delivering the serverless experience through an abstraction layer that sits on top of it, like Knative.

Source de l’article sur DZONE

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Headless eCommerce – Example headless architectures

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article imageIn our previous article from this series shared a look at the logical common architectural elements found in a headless e-commerce solution for retail stores.

The process was laid out how we’ve approached the use case and how portfolio solutions are the base for researching a generic architectural blueprint. It continued by laying out the process of how we’ve approached the use case by researching successful customer portfolio solutions as the basis for a generic architectural blueprint.

Source de l’article sur DZONE

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Headless eCommerce – Common architectural elements

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article imageIn our previous article from this series we introduced a use case around headless e-commerce for retail stores.

The process was laid out how we’ve approached the use case and how portfolio solutions are the base for researching a generic architectural blueprint.

Source de l’article sur DZONE

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How to Achieve Effective Kubernetes Cost Optimization

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Kubernetes is ruling the container market. According to a CNCF survey, the use of Kubernetes in production in 2020 was 93%, up from 78% in 2019. Moreover, the survey reveals that the use of containers in production in 2020 was 92%. This figure is up 300% from CNCF’s first survey in 2016. 

Due to the adoption of Kubernetes by DevOps teams and the open source community’s encouragement, this figure could grow more. And if it stays at present prices, this market share still is a significant portion. This means that even though Kubernetes makes a lot of things easier, challenges will always appear, as the survey confirms. Namely, the problems listed include networking, storage, tracking, surveillance, a lack of preparation, and, of course, cost management.

Source de l’article sur DZONE

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Business optimisation architecture – Common architectural elements

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In my previous article from this series I introduced a use case around business optimisation for retail stores. 
The process was laid out how I’ve approached the use case and how portfolio solutions are the base for researching a generic architectural blueprint.
The only thing left to cover was the order in which you’ll be led through the blueprint details.

This article starts the real journey at the very top, with a generic architecture from which we’ll discuss the common architectural elements one by one.

Blueprints review

As mentioned before, the architectural details covered here are base on real solutions using open source technologies. The example scenario presented here is a generic common blueprint that was uncovered researching those solutions. It’s my intent to provide a blueprint that provides guidance and not deep technical details.

Source de l’article sur DZONE

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