DEV Community

Cover image for Platform Engineering 101

Platform Engineering 101

Platform engineering focuses on designing, developing, and managing self-service platforms that streamline the software development lifecycle. These platforms act as enablers, offering developers a cohesive set of tools, frameworks, and workflows tailored to specific organizational needs. By centralizing and standardizing these resources, platform engineering minimizes bottlenecks and enhances collaboration.

Key Principles of Platform Engineering

  • Automation and Standardization
    By automating repetitive tasks and enforcing consistent practices, platforms reduce errors and increase efficiency.

  • Self-Service Capabilities
    Platforms should empower developers to independently provision resources, deploy applications, and access necessary tools without requiring intervention from other teams.

  • Developer-Centric Design
    A successful platform prioritizes user experience. It must be intuitive and cater to the specific needs of its primary developers.

  • Scalability and Reliability
    A robust platform can handle increasing workloads while maintaining uptime and performance.

Benefits of Platform Engineering

  • Enhanced Developer Experience
    An intuitive, reliable platform reduces friction, allowing developers to concentrate on innovation.

  • Cost Efficiency
    Centralized resource management reduces redundancy and optimizes infrastructure usage.

  • Improved Collaboration
    A unified platform fosters communication and alignment among cross-functional teams.

  • Accelerated Development Cycles
    With pre-configured tools and streamlined workflows, developers can focus more on coding and less on setup.

Popular Tools for Platform Engineering

Demo (kestra.io)

Kestra is an open-source, event-driven orchestration platform that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows directly from the UI in just a few lines of YAML. More Info

We are going to create AWS S3 bucket creation workflow in kestra flows.
Git Repo

Step 1 - Run Kestra with Docker Compose. First, download the docker-compose.yml file. https://kestra.io/docs/installation/docker-compose
Image description

Step 2 - Open the docker-compose.yml file and add the AWS CLI keys as environment variables within the Docker Compose configuration.
Image description

Step 3 - Execute it using Docker.
docker-compose up -d
Image description

Step 4 - Log in to the console at localhost:8080, navigate to the Blueprints section, search for AWS S3, and click the 'Use' button.
Image description

Kestra uses YAML for its configuration. You can modify the settings using the following code and save it.

id: create-s3-bucket-flow
namespace: example.products

inputs:
  - id: bucket_name
    type: STRING
    defaults: declarative-orchestration-with-kestra
    required: true

tasks:
  - id: create_s3_bucket
    type: io.kestra.plugin.aws.s3.CreateBucket
    accessKeyId: "{{ secret('AWS_ACCESS_KEY_ID') }}"
    secretKeyId: "{{ secret('AWS_SECRET_ACCESS_KEY') }}"
    region: "us-east-2"
    bucket: "{{ inputs.bucket_name }}"
Enter fullscreen mode Exit fullscreen mode

Step 5 - Next, navigate to the Flows section as a developer, select the previously created flow, and execute it. You can provide any name for the S3 bucket. Then, click the execute button again.
Image description

Finally, you will see that the S3 bucket has been created, and the bucket name will be visible in the output.
Image description

AWS S3 Console
Image description

Challenges in Platform Engineering

  • Cultural Resistance
    Teams accustomed to traditional workflows may resist adopting a new platform.

  • Initial Investment
    Building a platform requires significant time, effort, and resources.

  • Balancing Standardization and Flexibility
    Over-standardization can stifle creativity, while too much flexibility can lead to inconsistency.

Future of Platform Engineering

As organizations continue to prioritize speed and efficiency, platform engineering will play an increasingly vital role. Emerging trends like AI-driven development, infrastructure-as-code, and Kubernetes-based platforms are poised to redefine what platforms can achieve.

Conclusion

Platform engineering represents a paradigm shift in software development, focusing on creating environments that enable developers to innovate without friction. By embracing this approach, organizations can stay ahead in a competitive landscape while empowering their teams to deliver exceptional results. As the discipline matures, its impact on the tech industry will undoubtedly continue to grow.

Thanks for reading the Article.

Connect with me
LinkedIn https://www.linkedin.com/in/lasanthasilva
Twitter https://twitter.com/LasanthaSilva96

Top comments (0)