Justice  Reilly

Justice Reilly

1593510780

Getting Started with Kubernetes and Container Orchestration

Kubernetes or popularly known as K8s is a popular container korchestration tool, which runs over our containers ( created on any Container Engine e.g. Docker, Podman, CRI-O etc. ) and manages for automating deployment, scaling, and management of containerized applications.
Kubernetes clusters can span hosts across on-premise,public, private or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming…

#devops #kubernetes-cluster #kubernetes #started #orchestration

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Getting Started with Kubernetes and Container Orchestration
Christa  Stehr

Christa Stehr

1602964260

50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml

Justice  Reilly

Justice Reilly

1593510780

Getting Started with Kubernetes and Container Orchestration

Kubernetes or popularly known as K8s is a popular container korchestration tool, which runs over our containers ( created on any Container Engine e.g. Docker, Podman, CRI-O etc. ) and manages for automating deployment, scaling, and management of containerized applications.
Kubernetes clusters can span hosts across on-premise,public, private or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming…

#devops #kubernetes-cluster #kubernetes #started #orchestration

Maud  Rosenbaum

Maud Rosenbaum

1601051854

Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.

This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.

Kubernetes: Your Multi Cloud Strategy

Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.

In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.

Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.

In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.

The Compelling Attributes of Multi Cloud Kubernetes

Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.

Stability

In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.

#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud

On Building A Development Pipeline With Kubernetes

A few years ago, digital transformation led to enterprises moving away from traditional monolithic architectures to microservices.

When Netflix adopted microservices in 2009 for enhanced availability, scale, and speed, and openly documented its journey along the way, it kick-started a trend that led to a complete digital transformation — making monolithic architecture obsolete. But as things work in technology, with new solutions, comes a set of unprecedented challenges. Using VMs to manage and run multiple microservices together, negate the benefits of microservices.

Thus came the containers. Though the concept of virtual containers dates back to 1979, its popularity has been soaring only since 2012. Containers offer the ideal solution for running microservices in isolated environments. With this, containers became mainstream and app development methods evolved. Containers changed the way applications are built, designed, developed, packaged, delivered, and managed. This has paved the way for speedy and agile innovation and improved customer experience.

To keep up with the sheer volume of containers, IT capabilities and tools to deliver these applications needed to evolve as well, and they are still evolving to this date. Kubernetes became a part of the solution by offering efficient orchestration of containers in production. Kubernetes enables container orchestration and adds resilience, reliability, and portability to applications. It helps enterprises to build and maintain production-scale deployments.

Kubernetes is the defacto when it comes to container orchestration but before jumping into Kubernetes-based deployments, organizations need to realize that Kubernetes is just one piece of the puzzle for agile DevOps system. Real-world applications require a set of supporting systems to achieve your organization’s cloud-native goals.

Thus, before jumping head-first into Kubernetes adoption, there are a few things you need to consider.

#kubernetes #continuous-deployment #containers #containers-devops #container-orchestration #cicd #continuous-integration #devops

Lindsey  Koepp

Lindsey Koepp

1603763460

AWS Bottlerocket vs. Google Container-Optimized OS: Which Should You Use and When

What’s the difference between popular Container-Centric OS choices, Google’s Container-Optimized OS, and AWS’s Bottlerocket? The concepts underlying containers have been around for many years. Container technologies like Docker, Kubernetes, and an entire ecosystem of products, as well as best practices, have emerged in the last few years. This has enabled different kinds of applications to be containerized.

Web service providers like Amazon AWS and Google are giving a further boost to container innovation, for enterprises to adopt and use containers at scale. This will help them to reap the benefits containers bring, including increased portability and greater efficiency.

Linux-based OS, AWS Bottlerocket is a new option, designed for running containers on virtual machines (VMs) or bare-metal hosts. In this article, you will learn the core uses and differences between the two open-source OS.

**AWS Bottlerocket **

It is an open-source, stripped-down Linux distribution that’s similar to projects like Google’s Container-Optimized OS. This single-step update process helps reduce management overhead.

_It makes OS updates easy to automate using container orchestration services such as Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). _

**Google Container-Optimized OS **

It’s an OS image for Google Compute Engine VMs that’s optimized for running Docker containers. It allows you to bring up your Docker containers on Google Cloud Platform securely, and quickly. It is based on the open-source Chromium OS project and is maintained by Google.

But before diving into the core differences, let us give you a basic overview of containers, VMs, and container-optimized OS, and its underlying challenges to better understand the differences.

If you are already aware of all the underlying processes of containers, then you can skip to the main differences for AWS Bottlerocket vs Google Container-Optimized OS.

#containers #amazon-aws #google-cloud #container-optimized-os #aws-containers #docker-containers #linux-based-os #orchestration