In today ‘s enterprise landscape, automation is critical as it frees up time that IT and software development teams currently spend on repetitive administrative work. However, before you start implementing tools that support automation, it 's important to do a pipeline audit to understand what tasks should be targeted. Be detailed in your exam, so you can get started faster and more effectively on your goals. This understanding will help you to figure out which solutions you need. It helps you to plan for incorporation, too.

The AWS affiliate helps with the Managed DevOps to turn business goals into a technology roadmap. Mission 's team of DevOps experts with Managed DevOps can help you leverage containers, microservices and IAC to increase the speed of application deployments, scale infrastructure to meet demand spikes, recover quickly from outages, and more. Get all those through AWS online training.

A core part of DevOps offerings as an AWS Advanced Consulting Partner includes discussions on how best to leverage a suite of AWS automation services and easy integrations that help build, deploy, scaling instances and more.

Automation options for AWS DevOps

Let's go over some of the automation options of AWS DevOps
AWS CodePipeline helps users automate the phases of your release process when code is changed to build, test , and deploy. It does this based on the model you define for release, so every deployment will be consistent and based on your personal preferences. Continuous delivery is a crucial component of DevOps so it's important to automate a boring portion of the delivery pipeline.

AWS CodeDeploy fully automates software deployments for computing services such as AWS EC2, AWS Fargate, AWS Lambda, and servers at your premises. Code changes are introduced in phases to monitor health of applications and to optimize availability of applications. Users can track deployments status at any time, too.

AWS OpsWorks for Chef Automate provides users with a fully-managed Chef Automate server and automation tool suite that enhance the ongoing deployment. It configures newly provided instances dynamically by automatically registering new instances with your Chef Server in Auto Scaling Groups.

Automate AWS DevOps with containers

When addressing DevOps automation it is hard to ignore containers. In one package, a container includes an entire runtime environment-an application and all its dependencies, configuration files, as well as libraries and other binaries. Containers offer faster and more portable development opportunities, resource management efficiency, smooth scaling, simplicity of operation and more. Therefore the usage of cloud assets should be rational and manageable, minimizing costs while increasing the speed of releases and updates.
An added advantage to containers is their freedom from the network. Containers are extremely versatile and can switch between environments in development such as on-prem to cloud, or vise the other way around. Using an expressway analogy, this article notes that "containers are like tractor trailers, capable of transporting several elements together without concern for the underlying infrastructure, and in the process, they can transfer each one more quickly to their destination and with less risk." Know more at DevOps Online Training

Kubernetes

Running on-scale containers includes an orchestration layer, and Kubernetes is often considered the leading alternative. Kubernetes originated within Google, but has since advanced considerably. Now Kubernetes is an open source network that includes developers from all over the world. This has over 11,000 developers participating, making it one of the biggest open source projects ever.
Kubernetes uses automation to get workloads and services going, scale and sleep when necessary. This makes implementation and management of containerized software simpler. AWS provides infrastructure for both Kubernetes and Containers. Let's take a look at some of the products from AWS containers and Kubernetes.

AWS DevOps automation using AWS Controllers

Amazon Elastic Container Service (ECS) is a highly scalable orchestration container service that supports Docker and AWS deployments. ECS works with CodePipeline to create an effective continuous delivery pipeline for container and microservice applications.
AWS Fargate integrates seamlessly with Amazon ECS to enable users to run containers without administering servers or clusters. It monitors all the CPU , memory, and other resources in a cluster, and determines the best container server based on your preferences.

Conclusion

When you look at the broader picture, DevOps revolutionizes the way companies think about their pipelines for growth. AWS offers a range of resources to make your automation ambitions a reality and Mission's Managed DevOps will provide the best path for your company, paving the way for your team to be one step closer to achieving its DevOps objectives. You can learn more through AWS DevOps training online.