Secure DevOps for AKS

DevOps and Kubernetes are better together. Implementing secure DevOps together with Kubernetes on Azure, you can achieve the balance between speed and security and deliver code faster at scale. Put guardrails around the development processes using CI/CD with dynamic policy controls and accelerate feedback loop with constant monitoring. Use Azure Pipelines to deliver fast while ensuring enforcement of critical policies with Azure Policy. Azure provides you real-time observability for your build and release pipelines and the ability to apply compliance audit and reconfigurations.

DevOps seguro para AKSDevOps y Kubernetes funcionan mejor juntos. Implementar DevOps seguro con Kubernetes en Azure, le permite alcanzar el equilibrio entre velocidad y seguridad, y proporcionar códigos más rápido a gran escala. Establezca protecciones en torno a los procesos de desarrollo mediante CI/CD con controles dinámicos de directivas y acelere el bucle de comentarios con una supervisión constante. Utilice Azure Pipelines para ofrecer resultados rápido mientras asegura el cumplimiento de directivas críticas con Azure Policy. Azure brinda observabilidad en tiempo real de sus canalizaciones de versión y compilación, además de la capacidad de aplicar fácilmente auditorías de cumplimiento y reconfiguraciones.123456789

Rapidly iterate, test and debug different parts of an application together in the same Kubernetes cluster

Code is merged into a GitHub repository, after which automated builds and tests are run by Azure Pipelines

The container image is registered in Azure Container Registry

Kubernetes clusters are provisioned using tools like Terraform; Helm charts, installed by Terraform, define the desired state of app resources and configurations

Operators enforce policies to govern deployments to the AKS cluster

The release pipeline automatically executes a pre-defined deployment strategy with each code change

Policy enforcement and auditing is added to CI/CD pipeline using Azure Policy

App telemetry, container health monitoring, and real-time log analytics are obtained using Azure Monitor

Insights are used to address issues and fed into next sprint plans

  1. 1 Rapidly iterate, test and debug different parts of an application together in the same Kubernetes cluster
  2. 2 Code is merged into a GitHub repository, after which automated builds and tests are run by Azure Pipelines
  3. 3 The container image is registered in Azure Container Registry
  4. 4 Kubernetes clusters are provisioned using tools like Terraform; Helm charts, installed by Terraform, define the desired state of app resources and configurations
  5. 5 Operators enforce policies to govern deployments to the AKS cluster
  1. 6 The release pipeline automatically executes a pre-defined deployment strategy with each code change
  2. 7 Policy enforcement and auditing is added to CI/CD pipeline using Azure Policy
  3. 8 App telemetry, container health monitoring, and real-time log analytics are obtained using Azure Monitor
  4. 9 Insights are used to address issues and fed into next sprint plans