AWS DevOps is one of the widely used methodologies in the IT arena. That being said, IT companies are making the most out of it by integrating AWS on DevOps and using the latest cloud technologies.
And the primary reason to integrate AWS into DevOps is to help teams manage complex environments and automate manual tasks.
However, as Amazon has refined its offering to meet the ever-evolving needs, it has brought unexpected integration challenges for enterprises.
Let’s understand AWS DevOps, architecture, integration, and tools in detail.
What Is AWS DevOps?
AWS DevOps leverages infrastructure as code services such as AWS Cloud Development Kit and AWS CloudFormation to bring your organization together.
The flexible services enable businesses to build and deliver products using a combination of AWS and DevOps practices.
Below we have listed three primary categories of cloud computing.
- Platform as a Service (PaaS)
- Infrastructure as a Service (IaaS)
- Software as a Service (SaaS)
AWS falls under the Infrastructure as a Service (IaaS) category — where customers can control the scalable instant-computing infrastructure, including operating systems and virtual servers.
AWS DevOps Architecture
To help you implement AWS on DevOps, we will first break down the underlying architecture of AWS DevOps.
Let us take an example of AWS EC2 to help you better understand AWS DevOps architecture.
- Load Balancing: The virtual network appliance analyzes the traffic demands and distributes EC2 traffic across different web server resources. Thanks to the Elastic Load Balancing feature of AWS, you can automate this process.
- Amazon CloudFront: This service is optimized to operate with AWS components. In addition, it is compatible with non-AWS features and delivers different types of content.
- Amazon Security Group: The security feature of AWS DevOps acts as an inbound network firewall to protect data related to your organization.
- Elastic Caches: This service manages the cloud’s memory cache. And the best part is it reduces the strain and increases scalability by caching frequently used data.
- Amazon Relational Database Service (RDS): RDS service simplifies cloud-based relational databases’ setup, operations, and scalability. Some databases supported by AWS are MariaDB, MySQL, Oracle, Amazon Aurora, etc.
- Amazon’s Simple Storage Service (S3): The S3 gives users a simple user interface to manage the organization’s data anytime and anywhere from the web.
- Amazon Elastic Block Store (EBS): It is used to manage data partitions and application logs. It is ideal for dealing with primary storage for file systems, databases, or other applications.
- Amazon Auto Scaling: The capacity groups of servers can be expanded or reduced on-demand or as needed with the auto-scaling feature.
AWS DevOps Tools
Now that you know AWS DevOps architecture, it is time to learn about the various DevOps tools. Below is the list of popular tools to build and deploy software in the cloud.
- AWS CodeBuild: The tool can create the code that the DevOps team desires. Team members can compile source code, test all the codes, and read deployment packages with AWS CodeBuild.
- AWS CodePipeline: With DevSecOps at its heart, AWS CodeBuild is about CI/CD betterment through security and efficiency. The project managers can get quick and secure software updates with the deployment of the CodePipeline tool.
- AWS CodeCommit: The newly developed tool allows developers to securely control and host Git-based repositories.
- AWS Cloud Development Kit: The open-source software development framework that uses familiar programming languages to model and provision cloud application resources.
- AWS CodeStar: The valuable tool helps developers conduct DevOps on AWS. The intuitive user interface allows users to develop, build, and deploy AWS applications.
Finding it hard to use the AWS DevOps tools without experts? Contact the Inferenz DevOps experts today!
Best Practices To Integrate AWS on DevOps
The demand for AWS DevOps services is growing exponentially, and the global DevOps market share is expected to reach $37.23 billion by 2030.
But to get the most out of DevOps, you need to integrate it successfully.
You need to follow certain practices to combine AWS and DevOps seamlessly. Learn more here.
The software development practice involves regularly merging code changes into a central repository. After this, automated builds and tests are run to find and address bugs, boost software quality, and reduce the time to release new software.
The code changes in this step are automatically built, tested, and prepared for release. The process involves deploying all code changes to the testing environment after the building stage. Once the continuous delivery process is completed, developers will have access to deployment-ready build artifacts.
The AWS DevOps microservices architecture is a design approach that allows for building a single application. Each set of services runs its process and can communicate with other services through API. Developers can use different programming languages or frameworks to write or deploy microservices.
Infrastructure as Code
Developers use code and software development techniques to provision and manage the infrastructure. However, instead of manual setup and configuration of resources, the cloud’s API-driven model enables easy and quick interaction with infrastructure.
Monitoring & Logging
Enterprises monitor metrics and logs to understand how infrastructure and applications impact the end user’s experience. Active monitoring, data analysis, real-time data analysis, creating alerts, etc., help organizations quickly find and solve the root cause of the problem.
Communication & Collaboration
DevOps teams need to focus intensely on communication and collaboration in any organization. Chat applications, project or issue-tracking systems, and wikis should be incorporated to speed up communication among developers and other team members.
Following the best practices while integrating AWS on DevOps is key to success. However, a lack of knowledge can lead to unwanted expenses. That’s where choosing the right AWS partner comes into the picture.
Inferenz has a team of certified experts who understands the unique needs of organizations. So, reach out to us and walk away with the best AWS solution for your DevOps strategy.
Schedule A Call With Our DevOps Experts
AWS provides services that make DevOps journey easy and more successful than ever. The fully-managed AWS services take care of all operating infrastructure, so you can focus on core products.
As you realize there are many benefits of the AWS DevOps combination, the real quest begins for choosing the right partner.
But no more stress!
Inferenz’s AWS and DevOps consulting services are modified to match business needs and requirements.
Give our DevOps experts a call, and let us help you integrate and implement AWS DevOps successfully!
FAQs on AWS DevOps
What is the difference between AWS DevOps and Azure DevOps?
The significant difference between the two is service integration. For example, AWS DevOps allows users to integrate Beanstalk, EC2, and S3, whereas Azure DevOps integrates with Azure VM, SQL database, etc.
Why do we need AWS DevOps?
AWS DevOps tools are designed to automate manual tasks, reduce complexity, and resolve issues faster. Some benefits of AWS DevOps include highly secure, easy automation, programmable, built-for-scale, and fully managed services.
Which is better: DevOps on AWS, Azure, or GCP?
AWS and Azure are the top two players in the cloud technology space and are highly preferred for DevOps. However, they all differ as they offer a different pay-as-you-go pricing model. AWS charges hourly, Azure bills on a minute basis, and GCP charges for seconds.
Is AWS DevOps free?
DevOps resources are available on AWS free tier, including a 12-month free tier, an always-free offer, and short-term trials.