Get the full benefit of cloud through extensive usage of automation and best practices for deployment and configuration management. Establish deployment and operational policies and strategy to achieve optimal outcomes in relation to cost, speed, flexibility, scalability, security, and compliance in your AWS environments.
- 100% Automation in the use of AWS cloud services should be a stated and accepted strategic objective.
- ‘Hands off’, repeatable and consistent automation of deployment and configuration is essential and not optional.
- Operational activities and security operations should be automated from end to end, with as little human intervention as possible.
Increase your organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than when using traditional software development and infrastructure management processes. Establish philosophies, practices, and tools that enable rapid delivery, reliability, scale, improved collaboration and security in the development and delivery of applications & solutions.
- Development, project, and operations teams are no longer isolated, for the purposes of solution development and delivery they should work together as one collaborative team.
- Integration of testing and security into the solution delivery model is recommended and leads to optimal outcomes.
- Enablement of teams to work quickly and independently is a primary goal but this should always be aligned with foundational architectures, security policies and operational practices.
“Good intentions never work, you need good mechanisms to make anything happen” Jeff Bezos. This means replacing humans best efforts with mechanisms (often automated) that check for compliance with rules or process.
DevOPs requires collaborative working between teams, enablement with tooling that allows automation of required activities, while always staying aligned with core business objectives around quality, security, and operational requirements
DevOPs requires collaborative working between teams, enablement with tooling that allows automation of required activities, while always staying aligned with core business objectives around quality, security, and operational requirements. Through the AWS Partner Opportunity Acceleration Funds, we work closely with AWS to enable funding and support for establishing good automation and DevOPs methodologies & practices in client projects and AWS cloud environments.
TerraAlto a PFH Technology Group company, has 10 years’ experience working as an AWS Advance Consulting Partner and have held the AWS DevOPs competency since 2018, during this time we have engaged in multiple complex multi-party projects and acquired the skills and knowledge needed to achieve full automation and support DevOPs practices in the AWS cloud that are effective, efficient, and secure.
We automate your operations, enable your solution development, and provide technology for growth. If you would like to learn more about cloud migrations to AWS, you can contact us on firstname.lastname@example.org.
Pipeline Automation: We have experience working with many different external set and the ingtegration of these deployment and development automation toolsets with AWS. Case study: Docker and Java deployment pipeline on AWS ECS with Gitlab, Gitlab CI and Ansible
AMI and SnapShot HouseKeeping: We use AWS native automations with AWS Lambda, AWS Backup and EC2 Image Builder to manage the lifecycle of AMIs, golden AMIs and associated snapshots. Case study: AMI and Snapshot housekeeping
Infrastructure As Code (IAC): We use AWS CloudFormation to define the implementation and configuration of your AWS environments and application stacks. This allows for repeatable and reliable deployment across clients, AWS accounts and from Development through to Production. Case study: Cloudformation Nested Stack – Full Application Environment
AWS Native Deployment Pipelines: We work extensively with AWS native tooling including AWS CodeCommit, CodeBuild, CodePipeline and CodeDeploy to enable application development teams in the development, testing and deployment of applications. Case study: Deployment pipelines Lambda & Python Spark
Data Failsafe Automation: Data manipulation using Lambda and Event Triggers on S3 buckets is used extensively by our team for various use cases and scenarios. Case study: Automated failsafe AWS Account for application stack