Introduction to Containers with AWS

Containerization  -a virtualization method used to deploy and run distributed applications without the need to launch an entire virtual machine for each application-is changing the way businesses develop and deploy applications in cloud environments. Containers decompose applications into small, manageable packages containing everything the application needs to run: code, core data, configuration files, interfaces, and dependencies.

The container approach allows developers to focus on applications and not be concerned with deployment and infrastructure management. From a development perspective, there are numerous benefits to the container approach.

Accelerate the development pipeline, including testing and debugging.

Facilitate continuous integration (CI) and continuous deployment (CD) workflows, automatically rebuilding whenever a new code revision is committed.

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Introduction to Containers with AWS
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)

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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

Seamus  Quitzon

Seamus Quitzon

1601341562

AWS Cost Allocation Tags and Cost Reduction

Bob had just arrived in the office for his first day of work as the newly hired chief technical officer when he was called into a conference room by the president, Martha, who immediately introduced him to the head of accounting, Amanda. They exchanged pleasantries, and then Martha got right down to business:

“Bob, we have several teams here developing software applications on Amazon and our bill is very high. We think it’s unnecessarily high, and we’d like you to look into it and bring it under control.”

Martha placed a screenshot of the Amazon Web Services (AWS) billing report on the table and pointed to it.

“This is a problem for us: We don’t know what we’re spending this money on, and we need to see more detail.”

Amanda chimed in, “Bob, look, we have financial dimensions that we use for reporting purposes, and I can provide you with some guidance regarding some information we’d really like to see such that the reports that are ultimately produced mirror these dimensions — if you can do this, it would really help us internally.”

“Bob, we can’t stress how important this is right now. These projects are becoming very expensive for our business,” Martha reiterated.

“How many projects do we have?” Bob inquired.

“We have four projects in total: two in the aviation division and two in the energy division. If it matters, the aviation division has 75 developers and the energy division has 25 developers,” the CEO responded.

Bob understood the problem and responded, “I’ll see what I can do and have some ideas. I might not be able to give you retrospective insight, but going forward, we should be able to get a better idea of what’s going on and start to bring the cost down.”

The meeting ended with Bob heading to find his desk. Cost allocation tags should help us, he thought to himself as he looked for someone who might know where his office is.

#aws #aws cloud #node js #cost optimization #aws cli #well architected framework #aws cost report #cost control #aws cost #aws tags

Rory  West

Rory West

1623634538

Containers on AWS: Which Service Is Right for Your Workload

Due to their lightweight, portable nature, using containers allows optimal cloud-native application builds. Now, running ten containers is relatively straightforward, but when you consider running containers at scale, i.e., hundreds and thousands of containers comprising hundreds of services, this can get out of hand quickly.

At this point, enterprises reach for a service or tool that can handle this challenge, which is where container orchestration tools come into the picture. Since 2014, AWS has launched more than 50 new features and multiple services to help engineers run containers in the cloud. At first, these tools aimed at optimizing how to run containers. The evolution of that tech has moved towards granular management and orchestration of container workloads.

Today, AWS is one of the best places to run any containerized application because it removes the heavy lifting of underlying infrastructure management and container orchestration. The reason for this popularity is the comprehensive suite of services available to users, check out a top three platform comparison for these services here: Cloud Services Comparison: AWS vs. Google vs. Azure.

The Cloud-Native Computing Foundation completed a study, and determined that 63% of companies are running their container workloads on AWS. These organizations range from optimizing container services for super small-scale dev and test environments right up to enterprise-scale mission-critical applications demonstrating how AWS still remains the most popular platform for such business critical applications. In this article, we’ll discuss the most popular AWS container services to see which best suits your requirements.

So, let’s get started.

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