- Distributing Load and Volume with Auto-Scaling and Load Balancing
- Enabling Automatic Failovers for High Availability
- Facilitating Controlled Deployments with Rollback Strategies
- Providing Chaos Engineering Capabilities for Resilience Testing
- Assisting in Incident Response with Automation
- Ensuring Proper Configuration Management
- Leveraging Immutable Infrastructure as a Service
- Practicing Disaster Recovery Frequently
- Case Study
- Summary
- Q&A
This chapter is from the book
This chapter is from the book
This chapter is from the book
Facilitating Controlled Deployments with Rollback Strategies
Facilitating controlled deployments with rollback “n−1 stack” strategies is a software deployment approach in which, during a software update or release, a new version of software is deployed to all but one of the available environments. This one environment is typically referred to as the “n−1” environment, meaning it represents the previous version of the software.
The purpose of this strategy is to maintain a fallback option in case any critical issues or unexpected problems arise with the new software release. If issues are detected in the newly deployed version, the organization can quickly switch back to the n−1 version, minimizing downtime and potential disruptions.
To facilitate controlled deployments, cloud providers offer several tools.
AWS CodeDeploy is a fully managed deployment service provided by AWS. It automates the deployment of applications to various compute services, including Amazon Elastic Compute Cloud (EC2) instances, AWS lambda functions, and on-premises servers. CodeDeploy makes it easier to release new features, updates, and bug fixes while ensuring that deployment processes are consistent and reliable. CodeDeploy allows you to define deployment configurations, rollbacks, and monitoring options. It supports various deployment strategies, including n−1 deployments, blue-green deployments, and canary deployments.
AWS CodePipeline is a fully managed continuous integration and continuous delivery (CI/CD) service that automates the building, testing, and deployment of applications. It allows developers to define and automate their release processes, from source code changes to production deployments, using customizable pipelines. CodePipeline supports integrations with various AWS services and third-party tools, making it a versatile solution for streamlining the software delivery lifecycle.
AWS Elastic Beanstalk is a platform as a service (PaaS) offering that simplifies the deployment and management of applications. Developers can easily deploy web applications and services written in various programming languages, such as Java, Python, Node.js, and more, without dealing with the underlying infrastructure details. Elastic Beanstalk provides automated scaling, load balancing, and monitoring, allowing developers to focus on writing code while AWS handles the deployment and scaling aspects of their applications.
The combined value of AWS CodeDeploy, AWS CodePipeline, and AWS Elastic Beanstalk lies in their ability to automate and streamline the entire application development and deployment process. CodePipeline orchestrates the CI/CD pipeline, enabling efficient code changes from development to production. CodeDeploy automates application deployments, ensuring consistency and reliability, while Elastic Beanstalk simplifies application management, allowing engineers to focus on code rather than infrastructure. Together, these services promote a Lean approach to CRE by reducing manual intervention, enhancing deployment efficiency, and optimizing resource utilization, ultimately improving the reliability and resilience of cloud-based applications.
Google and Azure options include the following.
Google Cloud Deployment Manager: Google Cloud Deployment Manager is an infrastructure as code (IaC) service that allows you to define and manage your cloud resources using declarative configuration files. You can define the desired state of your infrastructure in configuration files written in YAML or Jinja2 templates, and Deployment Manager will automatically create, update, or delete resources to match the desired state. This enables you to manage your deployments in a controlled and repeatable manner, with the ability to roll back changes if needed.
Google Kubernetes Engine: GKE is a managed Kubernetes service that allows you to deploy, manage, and scale containerized applications using Kubernetes. Kubernetes provides built-in features for controlled deployments, such as rolling updates and canary deployments. With GKE, you can define deployment strategies, such as blue-green deployments or rolling updates, to control the rollout of new application versions.
Azure Resource Manager (ARM): ARM is the infrastructure deployment and management service in Azure that allows you to provision and manage your cloud resources using templates. ARM templates are JSON files that define the desired state of your infrastructure, including VMs, storage accounts, networking resources, and more. You can use ARM templates to create, update, or delete resources in a controlled and repeatable manner, enabling consistent deployments across environments.
Azure DevOps: Azure DevOps is a suite of cloud-based collaboration tools for software development, including version control, build automation, release management, and more. Azure DevOps provides features for controlling deployments, such as release pipelines, deployment gates, and approvals. You can define release pipelines that automate the deployment process, and include gates or approval steps to control when and how changes are deployed to different environments such as development, testing, staging, and production.
