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January 6, 2026
Amazon Web Services provides a suite of tools and services that supports the traditional DevOps philosophy, which encourages companies to unite development and operations teams so that they can collaboratively handle various activities across the application lifecycle, from development and testing to operations and monitoring. DevOps practices involve using specialized tools to automate diverse repetitive manual processes (e.g., deploying code or provisioning infrastructure), improving team collaboration as well as significantly speeding up the delivery of applications and improving their quality.
AWS DevOps is the adaptation of the general DevOps principles implemented through the use of tools and services designed specifically for the AWS cloud platform. This tooling helps developers optimize their AWS DevOps workflows and maximize the efficiency of the development and deployment processes.
AWS provides a wide range of DevOps tools and services that have native integrations with one another, so developers can use them in various combinations to support both individual processes and the entire DevOps lifecycle depending on the particular use case.
Developers use CI/CD tools to streamline merging of changes in the app’s source code and automate code building, testing, and deploying to quickly deliver software and infrastructure updates.
AWS CodePipeline is a fully managed service for continuous delivery that automates the software release process. It provides a graphical user interface that allows the modelling and managing of the release pipeline and its stages, activities, and tasks like retrieving source code, running tests, and deploying to staging, testing, and production environments. With this tool, developers can rapidly release new features, make iterative improvements based on user feedback and insights from monitoring tools, and spot and fix errors before they reach production.
A fully managed build service, AWS CodeBuild runs build scripts for code compiling, testing, and packaging based on the build settings and from source code locations specified by developers. Using CodeBuild, development teams don’t need to manually set up, manage, and maintain build servers since the tool automatically provisions and scales the necessary build infrastructure, allowing multiple builds to be run simultaneously. AWS CodeBuild comes with prepackaged build environments supporting the most commonly used programming languages, frameworks, and tools (e.g., Java, Python, Node.js, Go, Android, and Docker), as well as provides the option to use custom environments based on the company’s needs.
AWS CodeDeploy automates application deployment to various AWS compute services (like Amazon EC2, AWS Fargate, or AWS Lambda) or on-premises servers, helping DevOps engineers speed up the release of new features, reduce downtime during deployment, and manage the complexity of updating applications. The tool supports various deployment techniques (e.g., canary or blue/green deployments) and enables simultaneous releases across multiple environments (e.g., test or production ones). In addition, with CodeDeploy, engineers can track the deployment statuses of applications and quickly roll back app updates or stop deployments in progress if any issues are detected.
The AWS platform provides container management and serverless computing tools that help build, deploy, and manage microservices-based applications.
Amazon Elastic Container Service, often referred to as Amazon ECS, enables engineers to build, manage, and run containerized applications in the AWS cloud without the burden of infrastructure management. This service supports automatic on-demand scaling of containers and allows deployment of applications across multiple availability zones so that they can maintain continuous availability and consistent performance as its load increases. What’s more, with Amazon ECS, engineers can strengthen the security of containerized apps by utilizing features like application isolation, IAM, automated patching, and data encryption as well as integrating other native AWS security mechanisms.
AWS Lambda is a serverless service designed to run code for almost any type of application or backend service (including web applications, mobile backends, or integration services) without the need to provision or manage servers. Instead, developers upload code as individual functions, and AWS Lambda automatically manages the infrastructure and its scaling, patching, and availability needed to execute that code in response to specific events like API calls or database changes from other AWS services (e.g. Amazon S3). Since companies are charged only for the compute time the code execution consumes, creating apps with AWS Lambda helps reduce operational costs associated with idle infrastructure and wasted capacity.
AWS provides tools that enable organizations to automatically provision, configure, and manage AWS infrastructures using code and templates while enforcing compliance of AWS environments with internal policies, security requirements, and regulatory standards.
Scheme title: Example of deployment of AWS resources and code using AWS CloudFormation
Using AWS CloudFormation, developers and system administrators can automate the provisioning and management of cloud resources, such as storage, databases, and networking components, using AWS sample or custom-built code templates. Based on these templates, AWS CloudFormation provisions, configures, and scales the defined resources as a single unit (called a stack), eliminating the need for a manual setup. Such automation reduces infrastructure configuration errors and ensures repeatable and predictable deployments across AWS accounts and regions, maintaining infrastructure alignment with the company’s policies.
The IaC processes can be further simplified with AWS Cloud Development Kit (CDK), which allows developers to create CloudFormation templates using familiar programming languages like Java or TypeScript instead of YAML or JSON.
AWS Systems Manager serves as a centralized hub for tracking and managing all compute resources across the organization’s AWS, multicloud, and hybrid environments. This tool automates common operational tasks like tracking resource and software inventory or applying operating system patches using predefined or custom scripts. With the help of Systems Manager, companies can reduce system maintenance time and effort and improve consistency and security across the infrastructure.
A configuration management service, AWS Config is used to assess, audit, and evaluate the configurations of AWS resources. With this tool, teams can monitor and record changes in configurations, check the compliance of the configurations with the company’s policies and best practices, and correlate configuration changes to particular events. This way, AWS Config helps ensure security, governance, and operational control in AWS environments.
AWS offers dedicated tools for logging and monitoring application and infrastructure performance in near real time.
Scheme title: DevOps monitoring dashboard architecture diagram
Data source: AWS
Amazon CloudWatch helps monitor the performance of AWS applications and infrastructure components by recording their metrics, logs, and events and visualizing them in dashboards.
With this operational data, teams can identify the root cause of incidents to speed up issue resolution and keep their systems healthy. Moreover, CloudWatch sends alerts and automatically triggers necessary response actions when metrics, such as CPU utilization, memory availability, or error rates, exceed predefined thresholds, helping minimize downtime.
AWS X-Ray helps teams analyze the performance of distributed applications, including those built on microservices, and find areas for improvement. The tool collects data on the requests your application handles and generates a unified service map that helps cloud engineers visualize dependencies between different system elements, detect bottlenecks in the app architecture, and debug serverless apps in real time.
With AWS CloudTrail, organizations can monitor AWS API calls and account activity across their AWS account. CloudTrail automatically generates event reports that include any actions and changes made via AWS Command Line Interface (CLI), Amazon Software Development Kit (SDK), and other AWS tools. These logs create an immutable record of activities, helping organizations prove compliance with applicable regulations, improve their security posture, and streamline operational auditing.
Powered by Amazon’s proprietary machine learning models, Amazon DevOps Guru helps organizations improve the availability and performance of their serverless AWS applications. The service detects the app’s abnormal behavior, provides contextual insights about it, and recommends remedy actions, reducing manual monitoring workload and helping prevent performance degradation.
With dedicated AWS tooling at hand, developers can host secure and scalable code repositories in the cloud, collaborate on code, track code changes, and integrate and deploy new code in the target AWS environment.
A fully-managed service for code source control, AWSCodeCommit allows developers to store, manage, and collaborate on code in a central private Git repository without the need to manage source control servers. The tool keeps repositories highly available and accessible while providing robust security features like IAM and data encryption to ensure only authorized users can access and modify code.
In addition to native AWS DevOps tools, DevOps teams can use third-party tooling to access additional capabilities for delivering software and tailor their DevOps workflows to their specific needs.
Terraform is an infrastructure-as-code tool by HashiCorp that enables developers to build, change, and terminate cloud and on-premises resources by writing human-readable configuration files. With Terraform, developers can define the desired infrastructure state declaratively and automate provisioning across diverse environments. In addition to AWS, Terraform supports other cloud platforms, including Azure and Google Cloud, which makes it a cloud-agnostic solution.
CircleCI is a cloud-native continuous integration and continuous delivery (CI/CD) platform designed to streamline the software build, test, and deployment process. It offers intelligent automation capabilities that help DevOps teams eliminate manual tasks, improve the productivity of software engineering teams, and speed up delivery pipelines. CircleCI can be configured to deploy code to AWS environments and integrate well with multiple AWS DevOps services, including Amazon ECS, Lambda, and CodeDeploy.
An observability service for cloud-scale applications, Datadog consolidates metrics, logs, and traces across AWS infrastructure and applications and presents them in unified dashboards, simplifying monitoring and troubleshooting. The platform offers native integrations with over 100 AWS services, facilitating granular metrics tracking across AWS accounts and regions.
An AI-powered developer-focused security platform, Snyk provides tools for static application security testing (SAST), open source vulnerability scanning, container security testing, cloud security posture management, and license compliance checks. When integrated with AWS DevOps tools, Snyk embeds security scanning into CI/CD pipelines and automates vulnerability detection in AWS-based applications.
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It provides features like service discovery, load balancing, self-healing, and automated rollouts and rollbacks that help DevOps teams efficiently manage complex, distributed systems. Kubernetes integrates with Amazon Elastic Kubernetes Service (EKS) and works alongside Amazon ECS and AWS Lambda, so that AWS DevOps teams can run containers at scale while keeping applications reliable, efficient, and consistent across cloud environments.
GitHub, a third-party version control tool, allows developers to store Git repositories in the cloud, collaborate on code, track code changes, and integrate and deploy new code in the target AWS environment.
A range of Atlassian’s services can be connected to AWS DevOps tools through prebuilt connectors to help teams accelerate and standardize their DevOps workflows. For example, a direct connection via AWS Service Management Connector enables DevOps teams to provision, manage, and operate AWS resources directly from Jira Service Management. Opsgenie integrates with multiple AWS services helping detect, centralize, and resolve issues in AWS environments as quickly as possible. Additionally, with the AWS DevOps-Bitbucket integration, code changes in Bitbucket can trigger automated build, test, and deployment processes in the AWS pipelines, helping developers streamline the software delivery lifecycle.
NewRelic is an intelligent observability platform that helps DevOps engineers monitor and optimize the performance of AWS applications and infrastructure. With NewRelic, teams can set targets for system reliability and performance, measure the impact of system changes, incidents, or new deployments, analyze app or infrastructure dependencies, and track user interactions with the app to spot performance bottlenecks.
By supporting automation and streamlining feedback loops, AWS DevOps tools help companies improve their performance across key DORA and broader DevOps metrics, including deployment frequency, lead time for changes, and incident resolution speed.
Having workflows automated with AWS DevOps services, teams can speed up software build, test, and deployment stages and deliver applications faster.
Continuous testing and monitoring supported by AWS DevOps tools allows developers to detect and fix issues early, improving the quality, security, and reliability of applications.
Organizations can seamlessly increase the computing power for almost any software project and scale applications vertically and horizontally in line with their needs thanks to the capabilities of AWS DevOps services like auto-scaling and flexible resource provisioning.
AWS DevOps tools support collaboration through shared CI/CD pipelines, unified code repositories, and real-time monitoring dashboards, eliminating the silos between the development and operations teams and helping them align their efforts.
Challenge | Solution | |
|---|---|---|
Steep learning curve |
AWS offers a broad set of DevOps services that can be used in different combinations and configurations with
other DevOps tools and the AWS ecosystem in general, which requires specific skills and knowledge from the
team.
| To shorten the learning phase and facilitate the adoption of AWS DevOps tools for their teams, organizations can provide tailored training programs, assign experienced mentors, and initiate sandbox projects for hands-on practice. Starting with a small set of core AWS DevOps tools lets teams gradually build expertise, refine their workflows, and get comfortable before expanding their toolset to cover more complex automation and deployment scenarios. To speed up the adoption of AWS DevOps tools and minimize friction during setup and integration, consider turning to an experienced AWS DevOps services provider like Itransition. |
Cost overhead |
AWS DevOps tools, available on a pay-as-you-go model, can cause cost spikes and budget overruns if not
properly managed.
| To address the challenge of cost overruns, organizations should establish a cost management plan to optimize AWS DevOps-related spending. Such strategy typically includes:
In addition, you can use a set of native AWS solutions like AWS Cost Explorer or AWS Budgets that help businesses monitor and optimize their AWS cloud expenses. |
As an AWS-certified software engineering and consulting company, we help organizations elaborate a tailored AWS DevOps strategy, select the most appropriate toolset for their AWS projects, and facilitate their successful adoption.
We assist companies with implementing AWS DevOps tools, setting up AWS infrastructures, and optimizing DevOps processes and workflows in line with AWS best practices, mitigating potential risks and helping establish cost-effective cloud operations.
AWS offers a comprehensive collection of DevOps tools that help development and operations teams deliver high-quality software while working faster and more efficiently. In addition to the general benefits of DevOps adoption, AWS DevOps tools provide companies with extensive automation capabilities that cover most application and infrastructure development processes. However, while AWS provides detailed documentation, prebuilt integrations, and guided tutorials for its DevOps tools, organizations still need deep technical expertise and careful planning to adopt and effectively use AWS DevOps tools in their workflows. Guidance from a reliable AWS consulting partner helps overcome possible implementation pitfalls and ensure smooth integration of the necessary AWS services.
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