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List of AWS DevOps Tools and its Use Cases: An Expansive Run-through

Make your DevOps Journey Count with Cloud4C


Today, DevOps has become an integral part of the software development process. Organizations must roll out new business applications even faster than ever to sustain market disruptions and steep competition. This requires fostering a DevOps culture in the organization wherein automation-driven processes are inculcated strongly into the entire software development lifecycle. Public cloud platforms are no alien to this trend. For instance, AWS have built their own platforms based on the DevOps philosophy. It has inspired an as-code revolution which extends beyond infrastructure and encapsulates everything within the cloud including infrastructure-as-code, pipeline-as-code and security-as-code. Organizations can get access to support systems starting from self-service manuals, infrastructure suggestions to advanced tools that cultivate a DevOps mindset.

This blog will categorically focus on the wide range of, AWS DevOps tools and its principle use cases for building a next-gen DevOps-led enterprise.

How to Choose Your Ideal AWS DevOps Partner? Read the blog

List of AWS DevOps Tools and its Use Cases: An Expansive Run-through

Here we have summed up the list of AWS DevOps services that can be customized according to the organizational needs:

Continuous Integration & Continuous Delivery

Amazon CodeBuild
Using Amazon CodeBuild, development teams don't need to allocate, scale, and manage their build servers. All they need to do is define the source code and select their build settings, with CodeBuild eventually running the build scripts for assembling, testing, and packaging the code.

Use Cases

  • Streamlines Continuous Integration and Delivery (CI/CD) Pipelines
    Establish an automated software release process that enables code changes via multiple deployment environments.
  • Tackles the complexity of handling build servers
    With CodeBuild, run existing Jenkins build jobs without having to configure and manage Jenkins build nodes
  • Develops source code on GitHub
    Every time a new code is pushed to GitHub repository or any changes are being added, the build server automatically starts developing the software and then posts the results back to the GitHub Repository. This helps the development teams track the outcome of the software builds.

Amazon CodeCatalyst
Serving as a centralized software development platform, developers save time by streamlining development tasks, creating project tools, automating CI/CD pipelines, and configuring development environments across the teams. In short, by using Amazon CodeCatalyst, development teams can create, manage, and roll out critical business applications quickly, complying with industry best practices.

AWS CodePipeline
Through AWS CodePipeline, teams can automate and configure different steps of a software release process, streamlining the entire CI/CD pipeline.

Use cases of AWS CodePipeline

  • Fully-managed Continuous Integration Service 
    Use a declarative JSON document for making templates to either upgrade or build existing CI/CD pipelines.
  • Push Notifications for Events
    Leverage Amazon Simple Notification Service (SNS) to track any events or issues taking place within pipelines
  • User Access Management 
    Through AWS Identity and Access Management (IAM), assign roles to who can change or manage the release workflows.
  • Seamless Integrations
    By configuring the entire software development process through custom actions and hook servers, teams can build codes faster and better.

What does it take to implement AWS-native CI/CD Pipelines for Development Environments: Read the blog


Amazon ECS
Having a container orchestration service in place is essential for building, deploying, and managing containerized applications seamlessly without any friction. Amazon Elastic Container Service (ECS) is a holistic container orchestration platform that embeds with AWS environment and supports container workloads in cloud or in on-prem infra.

Use Cases

  • Application Modernization 
    Deploying Amazon ECS can help developers build applications faster with more advanced security and compliance measures.
  • Automated Scaling 
    Scale automatically and run several web applications on AWS with high reliability, flexibility, and availability.
  • Batch Processing
    Run computing workloads across Amazon EC2 Spot Instances, AWS Fargate, and Amazon Elastic Compute Cloud (EC2)
  • NLP and AI/ML Models
  • Using AWS Fargate with Amazon ECS can aid developers in training LLM and other NLP models without having to manage the entire infrastructure.

AWS Lambda
A perfect tool for creating powerful modern serverless applications, AWS Lambda runs the code in response to events such as table updates in Amazon DynamoDB, state transitions, and HTTP requests from the Amazon API gateway. It automatically manages all the infra administration, encompassing server maintenance, operating system maintenance, scaling, capacity provisioning, logging, and code monitoring.

Use Cases

  • Large-scale Data Processing
    By scaling more than 18k vCPUs, AWS Lambda can help in meeting sudden, unexpected and resource-intensive demands.
  • Interactive Web Applications
    Integrating AWS Lambda with other AWS services can aid developers in building scalable and secure apps.
  • Powerful ML Models 
    Assists in preprocessing data that needs to be embedded into the ML models. AWS Lambda offers access to Amazon Elastic File System (EFS) for automating scalability and infrastructure management.
  • Event-driven Applications Creation
    Build and run event-driven applications to meet sudden spikes in demands without over provisioning or scaling additional resources.

Transform and Implement DevOps through AWS DevOps Services: Read the blog

Infrastructure as Code

AWS CloudFormation
Streamline resource management and scale infrastructure across major AWS accounts through governance measures and turnkey application distribution.

Use cases

  • Infrastructure Management 
    Automate CI/CD pipelines consistently to test and enable infrastructure templates.
  • Scale Production Stacks
    Offers flexibility in running different instances ranging from Amazon Elastic Compute Cloud (EC2) to multi-region applications.
  • Service Deployments
    Deploy AWS services like AWS Elastic Container Service (ECS) or AWS OpsWorks with more agility.

Monitoring & Logging

AWS CloudTrail
Facilitates overall governance and AWS account audits, ensuring compliance with latest data regulations such as PCI, HIPAA, and SSOC.

Use Cases

  • Improves Security Posture
    Automates workflow rules with Amazon EventBridge and enhances security measures through tracking events and user activities.
  • Enhances Operations 
    Enables debugging through SQL related queries, Natural language queries, Amazon Athena or insights from dashboards in CloudTrail Lake.

Amazon CloudWatch
By consolidating data into one platform, Amazon CloudWatch offers unified visibility into operational health of applications, performance issues, and resource usage.

Use cases

  • Monitor application performance
    Enables visualization tools to offer insights into performance discrepancies across AWS accounts.
  • Root Cause Analysis
    Accelerate debugging and minimize MTR through analyzing user requests, logs, and metrics.
  • Resource Optimization
    Through resource optimization, set rules that prompt action when certain thresholds are met. This can minimize costs and bolster efficiency.

A Complete Guide to Security by Design with DevSecOps: Read the blog

Version Control

AWS CodeCommit
AWS CodeCommit offers a scalable and secure environment for versioning and managing code, ensuring seamless collaboration on AWS projects. It can integrate with Git tools and other AWS solutions.

Use cases

  • Code Collaboration
    Leverage code reviews and feedback mechanisms and manage who can implement changes to specific applications.
  • Receive custom scripts
    Issue notifications related to HTTP webhooks and receive Amazon Simple Notification Service (SNS) notifications for any issues in repositories.
  • Create Repositories
    Developers have the flexibility to produce more than 25000 repositories by request.

Make your DevOps Journey Count with Cloud4C

“Currently, DevOps is more like a philosophical movement, not yet a precise collection of practices, descriptive or prescriptive.”

—Gene Kim

Indeed. DevOps, as a concept, is not new. But what makes the key difference is how well and quickly one can maximize true efficiency from DevOps workflows. Cloud4C, a leading managed services provider, helps organizations create and deploy products faster through its automation-driven DevOps-as-a-Service for AWS.

Being an expert AWS MSP, Cloud4C has helped leading enterprises across the globe leverage highly advanced AWS DevOps tools to accelerate cloud transformations and innovation releases to market. By streamlining the software delivery with the tools, we have helped clients gain a 50% spike in speed to market Be it establishing greenfield Cloud/Multi-cloud environment with CI/CD processes or introducing automation to an existing cloud environment, Cloud4C experts ensure that businesses harness complete DevOps capabilities on the cloud. Here's how our experts help in the implementation of AWS DevOps services:


Phase 1

  • Enable demand management and financial management processes.
  • Assess the business value of DevOps.

Phase 2

  • Plan capacity, availability, and information security.
  • Build an organizational structure for DevOps.
  • Implement OLAs and SLAs.

Phase 3 

  • Training and onboarding DevOps teams.
  • Deploy tools for agile methodology.
  • Assess change, release, and testing processes.

Phase 4

  • Establish incident management, knowledge, and event management processes.
  • Create a continuous improvement model.

As cybersecurity is becoming a concern among developers, Cloud4C also helps add security best practices into the DevOps process through an approach called DevSecOps. We ensure that advanced security tools and solutions are integrated at each step of the development and operations process as an overarching guardrail to risk-proof the entire transformation journey, a.k.a Security by Design. This includes threat intelligence, predictive analytics, and preventive maintenance.

Want to know how we can accelerate your software development process with our full-stack AWS DevOps services? Just visit our website or get in touch with our representatives today!

Frequently Asked Questions:

  • Why Should You Choose AWS for DevOps?


    Organizations should go for AWS DevOps for:

    • Efficient deployment, saving time and minimizing human errors
    • High scalability
    • Optimal security
    • Cost optimization
  • What is DevOps Platform-as-a-service?


    DevOps Platform as a Service (PaaS) is a cloud-based platform that helps development teams leverage a variety of DevOps tools and services. Platforms such as Azure DevOps and AWS Services offer an integrated environment for managing cloud source repositories, automating builds, and deploying apps, granting teams greater control over their DevOps operations. This model focuses on a more hands-on approach, with organization's using these tools to improve their internal DevOps capabilities.

  • What is DevOps as a Managed Service?


    DevOps Managed Service Provider provides a comprehensive portfolio of services, including continuous integration and security operations, all managed by a team of qualified DevOps experts. This technique enables businesses to outsource their DevOps processes, relying on outside expertise to improve development and operations.

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Team Cloud4C
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Team Cloud4C

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