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Integrating Ansible and Docker for a CI/CD Pipeline Using Jenkins

In this guide, we will use Ansible as a Deployment tool in a Continuous Integration/Continuous Deployment process using Jenkins Job. In the world of CI/CD process, Jenkins is a popular tool for provisioning development/production environments as well as application deployment through pipeline flow. Still, sometimes, it gets overwhelming to maintain the application's status, and script reusability becomes harder as the project grows.


Building Images Faster and Better With Multi-Stage Builds

There is no doubt about the fact that Docker makes it very easy to deploy multiple applications on a single box. Be it different versions of the same tool, different applications with different version dependencies - Docker has you covered. But then nothing comes free. This flexibility comes with some problems - like high disk usage and large images. With Docker, you have to be careful about writing your Dockerfile efficiently in order to reduce the image size and also improve the build times.


Demystifying Open-Source Orchestration of Unikernels With Unik

As the cloud-native ecosystem continues to evolve, many alternative solutions are popping-up, that challenges the status quo of application deployment methodologies. One of these solutions that is quickly gaining traction is Unikernels, which are executable images that can run natively on a hypervisor without the need for a separate operating system.


Tutorial: Kubernetes-Native Backup and Recovery With Stash

Having a proper backup recovery plan is vital to any organization's IT operation. However, when you begin to distribute workloads across data centers and regions, that process begins to become more and more complex. Container orchestration platforms such as Kubernetes have begun to ease this burden and enabled the management of distributed workloads in areas that were previously very challenging.

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Appfleet - an edge cloud platform for improving the efficiency of business processes - launched

Appfleet - an edge hosting platform that allows companies to easily deploy docker containers in multiple locations at the same time, improving the efficiency of business processes and reducing latency - is debuting on the market. Ultimately, this solution is to replace limiting and expensive serverless services, managed kubernetes solutions and complex multi-regional cloud deployments.

Understanding Amazon Elastic Container Service for Kubernetes (EKS)

Amazon Elastic Container Service for Kubernetes or EKS provides a Managed Kubernetes Service. Amazon does the undifferentiated heavy lifting, such as provisioning the cluster, performing upgrades and patching. Although it is compatible with existing plugins and tooling, EKS is not a proprietary AWS fork of Kubernetes in any way. This means you can easily migrate any standard Kubernetes application to EKS without any changes to your code base.


Autoscaling an Amazon Elastic Kubernetes Service cluster

In this article we are going to consider the two most common methods for Autoscaling in EKS cluster: The Horizontal Pod Autoscaler or HPA is a Kubernetes component that automatically scales your service based on metrics such as CPU utilization or others, as defined through the Kubernetes metric server. The HPA scales the pods in either a deployment or replica set, and is implemented as a Kubernetes API resource and a controller.


Cloud-native benchmarking with Kubestone

Organizations are increasingly looking to containers and distributed applications to provide the agility and scalability needed to satisfy their clients. While doing so, modern enterprises also need the ability to benchmark their application and be aware of certain metrics in relation to their infrastructure. In this post, I am introducing you to a cloud-native bench-marking tool known as Kubestone.


Enabling multicloud K8s communication with Skupper

There are many challenges that engineering teams face when attempting to incorporate a multi-cloud approach into their infrastructure goals. Kubernetes does a good job of addressing some of these issues, but managing the communication of clusters that span multiple cloud providers in multiple regions can become a daunting task for teams. Often this requires complex VPNs and special firewall rules to multi-cloud cluster communication.