Background

Using AWS as your infrastructure provider

IT engineers tend to produce more cloud-friendly applications to get benefits from cloud technology.

Over the past years, server providers have worked hard and brought cloud computing to the forefront of the industry. IT engineers tend to produce more cloud-friendly applications to get benefits from cloud technology. As a result, it has made a vast improvement in the IT workers’ day-to-day life, bring almost everything to their fingertips.

Senior Systems Engineer

Testimonial Author

Jude Ashan

The main reason behind this is that organizations are aiming more towards managing their product, and they do not like to take the burden of managing anything else. This way the business product is focused the most, and thanks to the managed services, reliability and availability of the product is now high. Also, scalability and redundancy is there. In addition to that, the product has a good opportunity to grow itself with the latest technology.

While things are stabilized and have more control in cloud managed services, software delivery lifecycle changes have also happened. The famous waterfall method has been replaced by Agile, and Agile has been replaced by DevOps (Continuous Integrity & Delivery). Here are some of the highlights on how to use AWS to streamline your system architectures and automations:

Why AWS?
  • AWS is a leading cloud service provider that the highest number of cloud management services
  • Unlike other providers, there is no special initialization needed when using web services. Only an activated AWS account is required.
  • Can scale up/down your infrastructure with minimum user and time involvement.
  • One central module to manage role base access. This can be done through automations as well.
  • Provides end-to-end DevOps partner solutions with large partner ecosystem.
  • AWS provides a number of billing packages, so organizations can pick a suitable one for them. Nowadays cloud resource usage is dynamic, so AWS “on-demand” billing can be a money saver.
  • Provides expertise to their customers by allocating dedicated AWS solution architects to analyze customer cloud infrastructure and to implement changes to reduce cost as much as possible.
  • API accessibility helps applications to effectively work with AWS managed services and resources when CI/CD automation are in place.
  • User data is more reliable with AWS as its networking backbone allows fast replication and failover with different AWS region and availability zones.
  • By considering these facts, this article explains how AWS has Ideal way of using AWS resources on a CI/CD enabled cloud infrastructure.

System Engineers do not manually create and configure any of the above services in a cloud environment when CI/CD is in place. Every single resource is managed by automation and deployments are going through automated system release pipelines (CI/CD automation cluster is not included in the diagram).

AWS managed services always comes with an additional cost. Unless our systems use them, we need to use our own methods instead. For example:

  • Use HAProxy on a separate server for load balancing purposes. This would avoid all additional costs for another service and other charges related to the number of requests. But we have to manually create and configure that server or add it to our automations, maintain backups, store SSL certificates, etc. Then we have to maintain the underlying resources, which is additional overhead for the engineers and introduces several risks.
  • Use MemCache or a Redis server for the application’s caching needs. This would reduce considerable amount from monthly billing, but again you have to take the responsibility of the caching server’s uptime and failover. Also you have to make an extra effort to fine-tune those tools to work with your application and enforce security measures.
Recommended tools for a CICD system in a micro service environment in AWS
  • Terraform as infrastructure manager across multiple cloud providers.
  • Ansible as a configuration management tool for bootstrapping, and releasing updates and service deployments.
  • Jenkins as a continuous integration tool for software development. It can be configured up to a level continues deployment hub for any project.
  • S3 as an artifact and a way to do versioning, organize, store and distribute software components.
  • Maven as a project build tool.
  • Consul as a service discovery and alerting system.
  • Git as a version control system.
  • Zuul as an edge service to call multiple micro services to fetch and show the important information in the UI.

With the vast collection of instance flavors, complementary bundle of managed services, monitoring/analytical options, container solutions, Lamda functions, advance API features AWS provides a better ground level platform for DevOps to explore and expand their solutions. In addition to that AWS is highly cost effective when you pick the right AWS resource types. With all these aspects it is right to call AWS as the leading cloud platform for DevOps nowadays.

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