#continuous-delivery

#continuous-delivery

Kubernetes is reshaping deployment and management processes for cloud applications, greatly influenced by GitOps and infrastructure automation principles.

Argo CD streamlines Kubernetes application deployments using GitOps for continuous delivery.

Argo CD is a declarative GitOps tool for Kubernetes, automating application deployment on Kubernetes clusters.

DevOps and Agile are complementary methodologies enhancing software development through collaboration and iterative processes.

Engineering practices can significantly improve the well-being of individuals involved in software development, not just the quality of the software itself.

Embracing automation in application deployment can significantly reduce human error risks, leading to more reliable production environments.

DevOps automation enhances productivity by reducing human involvement, improving software delivery speed, and optimizing performance.

The shift to DevOps necessitates a fundamental change in testing culture for organizations.

DevOps as a living system enhances collaboration and innovation through continuous integration and delivery, much like the human body's vital functions.

AWS CodeBuild now supports managed GitLab self-hosted runners, enhancing CI/CD efficiency and resource utilization.

Portainer is a container management platform that supports Docker Swarm as an alternative to Kubernetes.

Portainer has a built-in Continuous Delivery (CD) functionality and can be integrated with GitLab for automating app deployments and management.

Multistax enhances developer productivity by streamlining software deployments and reducing the need for dedicated operations teams.

CI/CD improves software delivery quality and speed by detecting issues early.

Eliminate productivity obstacles and accelerate delivery with automated Azure Pipelines

Azure Pipelines simplifies CI/CD and saves time by automating releases and abstracting complexity

Agile software development emphasizes flexibility, collaboration, and customer feedback to enhance software quality through iterative and incremental processes.

The software development process has evolved to eliminate traditional long testing phases, adopting more rapid, continuous testing methods.

Managing deployments across multiple environments is a key challenge in continuous delivery.

Automation is crucial for streamlining the deployment process and ensuring consistent and efficient deployments.

Orchestrating deployments requires sequencing variables and accommodating different requirements for each environment.

Automating production deployments reduces risks and human error, improving reliability and efficiency.

New features in AWS CodePipeline enhance flexibility in pipeline designs

Three distinct pipeline designs with triggers and execution modes explained

AWS CodePipeline has added triggers and new execution modes to support teams with various delivery strategies.

Customers can use triggers and execution modes to create different pipeline designs for GitFlow, running on pull requests, or within a monorepo.