Docker And Kubernetes Full Course | Docker And Kubernetes Explained | DevOps Tools

In this Docker and Kubernetes full course video, we will be covering all the important concepts related to Docker and Kubernetes starting from what they are to how to use them along with indepth hands-on demos.

#docker #kubernetes #devops

What is GEEK

Buddha Community

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

Ever Wondered Why We Use Containers In DevOps?

At some point we’ve all said the words, “But it works on my machine.” It usually happens during testing or when you’re trying to get a new project set up. Sometimes it happens when you pull down changes from an updated branch.

Every machine has different underlying states depending on the operating system, other installed programs, and permissions. Getting a project to run locally could take hours or even days because of weird system issues.

The worst part is that this can also happen in production. If the server is configured differently than what you’re running locally, your changes might not work as you expect and cause problems for users. There’s a way around all of these common issues using containers.

What is a container

A container is a piece of software that packages code and its dependencies so that the application can run in any computing environment. They basically create a little unit that you can put on any operating system and reliably and consistently run the application. You don’t have to worry about any of those underlying system issues creeping in later.

Although containers were already used in Linux for years, they became more popular in recent years. Most of the time when people are talking about containers, they’re referring to Docker containers. These containers are built from images that include all of the dependencies needed to run an application.

When you think of containers, virtual machines might also come to mind. They are very similar, but the big difference is that containers virtualize the operating system instead of the hardware. That’s what makes them so easy to run on all of the operating systems consistently.

What containers have to do with DevOps

Since we know how odd happenings occur when you move code from one computing environment to another, this is also a common issue with moving code to the different environments in our DevOps process. You don’t want to have to deal with system differences between staging and production. That would require more work than it should.

Once you have an artifact built, you should be able to use it in any environment from local to production. That’s the reason we use containers in DevOps. It’s also invaluable when you’re working with microservices. Docker containers used with something like Kubernetes will make it easier for you to handle larger systems with more moving pieces.

#devops #containers #containers-devops #devops-containers #devops-tools #devops-docker #docker #docker-image

Docker And Kubernetes Full Course | Docker And Kubernetes Explained | DevOps Tools

In this Docker and Kubernetes full course video, we will be covering all the important concepts related to Docker and Kubernetes starting from what they are to how to use them along with indepth hands-on demos.

#docker #kubernetes #devops

Job Cycle and on Demand Tools of Devops Programming Engineer

The dream of everyone is to earn a high salary, DevOps is one way to reach this dream. Anyone can learn DevOps and get placed with a large corporation. This article will help you to gain complete knowledge about what are the roles and responsibilities of a DevOps Engineer.

Introduction to DevOps

DevOps is a compound of Development and Operations. DevOps is the combination of practices, and processes that increase the organization’s ability to provide qualified applications to add value to the customer businesses. In simple terms, DevOps is a methodology in which operations and development engineers collaborate during the service lifecycle from design to development to production support.

Roles and Responsibility of DevOps Engineer:

There are two main parts to creating an application and maintaining it using DevOps, development and operation.

1. Development (Software developers build the application
2. and test it)
3. Operation (The application is deployed and maintained on a server)

#devops #devops-docker #devops-engineer #docker #devops-tools

DevOps Tools Full Course | DevOps Tools Explained | DevOps Tools Tutorial For Beginners

This DevOps tools full course will help you learn DevOps concepts, DevOps tools with examples and demos starting from basics to advanced. It will cover different DevOps tools like Git, Ansible, Selenium, Docker, Chef, Puppet, Kubernetes and Gradle.

About Simplilearn DevOps Training Course:
Simplilearn’s DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration, and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.

Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skill set to master in the cloud age.

After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this DevOps training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:

1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools

Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.

1. This DevOps training course will be of benefit to the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers

#devops #kubernetes #docker #selenium