Platform Engineering on AWS

As a response, platform engineering emerged not as a replacement for DevOps, but as a complementary discipline. It introduces dedicated teams focused on designing and maintaining internal developer platforms that abstract away infrastructure complexity through automation, standardization, and self-service capabilities.

Today, copebit’s advanced platform engineering strategy builds on core DevOps principles and extends them using elastic infrastructure concepts, deep integration with cloud-native technologies, and a strong focus on developer experience. This creates a robust and scalable self-service environment, empowering developers to focus fully on innovation and software development.

Deep Dive into Platform Engineering

Platform engineering at copebit involves creating internal, self-service platforms designed to simplify application deployment, resource provisioning, and service management. By leveraging Infrastructure-as-Code (IaC) tools such as OpenTofu, the platform team ensures that every resource is provisioned predictably, is version-controlled, and follows strict governance policies.

The foundation of copebit's platform engineering strategy lies in elasticity, automation, and declarative configuration. Kubernetes-based workloads, GitOps practices, and service orchestration ensure that infrastructure is dynamically adjusted based on demand.

What Platform Engineering Really Means

Platform engineering is not a replacement for DevOps, but rather a natural evolution and specialization within the DevOps ecosystem. While DevOps emphasizes cultural change, automation, and team collaboration, platform engineering focuses on building internal developer platforms (IDPs) that enable DevOps at scale — especially in complex, multi-team cloud environments.

Key Components of Platform Engineering at copebit

1. Internal Developer Platform (IDP): A curated set of tools, services, and workflows provided as a self-service interface to development teams. This includes CI/CD pipelines, Kubernetes orchestration, Infrastructure-as-Code with OpenTofu, logging/monitoring/tracing (e.g., Prometheus, Grafana), and secrets management.

2. Self-Service Capabilities: Developers can launch services, provision infrastructure, or configure environments independently.

3. Standardization and Governance: Reusable modules (e.g., Terraform templates, Helm charts), centralized access controls, and pre-approved configurations.

4. Elastic and Declarative Infrastructure: Platform behavior is defined declaratively and adjusts automatically to load and resource demands.

5. DevOps Enablement, not DevOps Doing: The platform team builds and maintains the infrastructure and automation that development teams use.

Platform Engineering contrasted to Traditional DevOps

The AWS Context

In AWS environments, a typical internal developer platform might include:

• VPCs, EKS clusters, and databases provisioned via IaC (e.g., OpenTofu, CloudFormation)

• CI/CD via AWS CodePipeline or GitHub Actions

• Pre-approved service blueprints and IAM policies

• Observability tools like CloudWatch, X-Ray, Prometheus

• Developer portals powered by tools like Backstage

Technical Pillars of copebit's Platform Engineering

We use Infrastructure-as-Code (IaC) with OpenTofu to manage AWS infrastructure. copebit also uses GitLab CI/CD and GitHub Actions for CI/CD. Security is integrated into CI/CD workflows, including automated security scans, vulnerability assessments, and secure secrets management with AWS Secrets Manager.

AWS EKS with EKS Auto-mode

copebit's EKS implementation leverages AWS's innovative capabilities to substantially reduce operational complexity. EKS Auto-mode simplifies operations by automatically managing essential infrastructure components. It seamlessly integrates Karpenter's nodepool functionality, eliminating the need for separate installations.

Elastic Databases and Messaging

• Amazon Aurora Serverless v2: Dynamically scales database capacity.

• ElastiCache Serverless: Provides managed caching services that dynamically scale.

• Elastic Kafka with MSK Serverless: Fully managed Kafka clusters that automatically scale based on demand..

GitOps with FluxCD

copebit extensively employs FluxCD for automating infrastructure and application lifecycle management via GitOps:

• Automated Reconciliation: Flux continuously ensures Kubernetes clusters match definitions stored in Git.

• Real-time Drift Detection and Correction: Automatically detects and corrects configuration drift.

• Multi-Cluster and Multi-Environment Management: Simplifies Kubernetes management across multiple clusters.

• Immutability Firewall: Ensures only configurations explicitly defined in Git are deployed.

Advanced Infrastructure Provisioning with Crossplane

Crossplane streamlines cloud resource provisioning directly through Kubernetes. It was developed to address the growing complexity of managing cloud infrastructure across multiple providers, where traditional IaC tools often fell short in providing a unified, Kubernetes-native approach. By extending the Kubernetes API, Crossplane allows platform teams to define and manage cloud resources using Custom Resource Definitions (CRDs), eliminating the need for external provisioning tools.

Crossplane helps organizations standardize cloud resource provisioning by leveraging Kubernetes’ declarative model. This ensures that infrastructure resources such as databases, storage, and networking are defined as code and automatically reconciled to match their desired state. Unlike traditional IaC tools that require periodic execution, Crossplane continuously ensures infrastructure consistency in real-time.

For copebit, Crossplane plays a crucial role in enabling developers to request and manage infrastructure resources seamlessly. Instead of submitting manual infrastructure tickets, developers define their resource needs in Kubernetes manifests, and Crossplane provisions and maintains them autonomously. This self-service model drastically improves development velocity while maintaining governance and security standards.

Crossplane integrates with GitOps workflows to provide version-controlled, auditable, and repeatable infrastructure, aligning with copebit’s vision for an elastic, fully automated platform that empowers developers and reduces operational overhead.

As a universal control plane for AWS resources, Crossplane allows for centralized management of AWS resources across regions and accounts via Kubernetes.  Additionally, it enables declarative provisioning of resources (e.g. S3 buckets, DynamoDB tables, and IAM roles) via Kubernetes manifests using Kubernetes CRDs. By using CRDs to define resources declaratively, developers can dynamically provision AWS infrastructure.

Comprehensive Security Practices

• Automated Code Scanning: GitLab CI/CD pipelines continuously scan for vulnerabilities, ensuring secure deployments.

• Container Security: AWS ECR scans container images to proactively identify and resolve vulnerabilities.

• Secrets Management: AWS Secrets Manager securely stores and rotates sensitive credentials.

• Continuous Compliance and Auditing: AWS Config and Security Hub provide real-time auditing, ensuring proactive management of compliance and security.

Developer Portal for Enhanced Self-Service

It provides a dedicated developer portal offering:

• Centralized Resource Management: Simple interface for developers to autonomously request and manage cloud resources.

• Comprehensive Documentation: Detailed tutorials, FAQs, and resources for quick onboarding.

• Collaboration Tools: Facilitates effective communication between development and platform engineering teams.

For instance, a copebit client significantly reduced application onboarding from weeks to hours using the portal, accelerating resource provisioning and enhancing team collaboration.

Observability and Monitoring

Deploys comprehensive observability solutions to improve visibility into system health and performance. In the context of platform engineering, observability is critical for maintaining system reliability, optimizing performance, and ensuring rapid issue resolution. Without proper monitoring, debugging distributed cloud-native architectures becomes complex, leading to increased downtime and reduced developer productivity.

By integrating advanced monitoring tools, copebit provides proactive detection of infrastructure anomalies, allowing platform teams to address issues before they impact applications. AWS CloudWatch, introduced in 2009, revolutionized cloud monitoring in a cloud-native manner by offering detailed insights into infrastructure performance, setting the foundation for modern observability practices. Over time, the demand for more granular monitoring across distributed cloud-native architectures led to the evolution of advanced telemetry solutions.

AWS AppSignal, combined with AWS Distro for OpenTelemetry (ADOT), provides unified tracing, logging, and metrics collection, simplifying observability and reducing the reliance on expensive application performance monitoring (APM) solutions. Many organizations find that AppSignal, with its native AWS integration, is a cost-effective alternative to high-cost APM platforms while still offering deep insights into application health and performance.

Metrics, logs, and traces are continuously collected and analyzed, enabling full visibility into resource utilization, application health, and security posture. This data-driven approach supports auto-scaling decisions, improves incident response times, and enhances cost efficiency by optimizing resource allocation.

AWS Container Insights

Automatically provides detailed performance metrics and diagnostics for Kubernetes clusters.

Unified telemetry collection across traces, logs, and metrics, simplifying observability.

Prometheus and Grafana

Prometheus aggregates extensive metrics, while Grafana provides visual dashboards, facilitating quick issue resolution.

Managing Multiple Environments from a Single Codebase

Managing multiple environments presents challenges such as configuration drift and complex troubleshooting. copebit effectively addresses these challenges with a unified declarative approach:

• GitOps and Branching Strategies: Clear branching structures ensure consistent yet isolated environments.

• Declarative Configuration Management: Ensures repeatable, consistent deployments across various environments.

• Crossplane and FluxCD Integration: Automates seamless, declarative management of resources, significantly simplifying environment management from a single codebase. 

Client Outcomes and Practical Benefits

Our clients realize significant advantages:

• Accelerated Development Cycles: Infrastructure automation accelerates deployments, enabling faster innovation cycles.

• Cost Optimization: Efficient resource scaling reduces infrastructure expenses.

• Operational Excellence: Automation shifts team focus from manual tasks to strategic innovation.

• Enhanced Security Posture: Integrated security automation maintains robust protection with minimal operational overhead.

Demonstration

Find a full Presentation here, including a demonstration:

Conclusion

The advanced platform engineering strategies on AWS, encompassing Kubernetes, EKS Auto-mode with integrated Karpenter nodepools, FluxCD, Crossplane, robust observability solutions, comprehensive security practices, and a dynamic developer portal, significantly boost developer productivity and operational agility. By automating complex infrastructure management, copebit enables developers to focus entirely on innovation, driving business growth, operational excellence, and sustained competitive advantage.