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Key Summary
- Overview: The 2022 article by InApps Technology discusses Red Hat’s efforts to enhance Kubernetes automation through Ansible, detailing how the integration streamlines cluster management, application deployment, and DevOps workflows, strengthening Red Hat’s position in the cloud-native ecosystem.
- Context:
- Kubernetes is the leading platform for container orchestration, but its complexity can be complex for deployment, scaling, and management.
- Red Hat, a key Kubernetes contributor, leverages Ansible, its open-source automation tool, to simplify Kubernetes operations, building on its OpenShift platform and Ansible Automation Platform.
- Red Hat’s Ansible-Kubernetes Integration:
- Ansible Automation Platform:
- Red Hat’s enterprise-grade automation solution, using Ansible playbooks ( YAML-based scripts) to define and automate tasks.
- Extended to support Kubernetes through Ansible Kubernetes Content Collections, a set of pre-built modules and playbooks for managing Kubernetes resources.
- Key Components:
- Kubernetes Collection: Includes Ansible modules for interacting with Kubernetes objects (e.g., pods, services, deployments) via the Kubernetes API.
- OpenShift Integration: Enhances Red Hat OpenShift, a Kubernetes-based platform, with Ansible automation for cluster setup, scaling, and updates.
- Operator Framework: Uses Ansible-based operators to automate complex application lifecycles on Kubernetes, such as database provisioning or monitoring setups.
- Automation Scope:
- Cluster Management: Automates Kubernetes cluster provisioning, configuration, and upgrades across on-premises, cloud, or hybrid environments.
- Application Deployment: Simplifies deployment of containerized applications, including CI/CD pipeline integration.
- Day-2 Operations: Handles ongoing tasks like scaling, backups, logging, and monitoring with automated workflows.
- Ansible Automation Platform:
- Key Features:
- Declarative Automation: Ansible playbooks define desired states for Kubernetes resources, ensuring consistency and repeatability.
- Cross-Platform Support: Works with any Kubernetes distribution (e.g., vanilla Kubernetes, OpenShift, EKS, AKS) and cloud providers (AWS, Azure, Google Cloud).
- Extensibility: Integrates with existing Ansible roles and modules for broader infrastructure automation (e.g., networking, storage).
- Operator Automation: Ansible-based Kubernetes Operators manage complex applications, automating tasks like upgrades or failover.
- Community-Driven: Open-source collections available via Ansible Galaxy, encouraging contributions and customization.
- Benefits:
- Simplified Operations: Reduces Kubernetes complexity with human-readable playbooks, lowering the learning curve for DevOps teams.
- Consistency: Ensures uniform cluster and application configurations across environments, minimizing errors.
- Scalability: Automates management of large Kubernetes clusters, supporting enterprise-grade deployments.
- Cost Efficiency: Offshore development in Vietnam ($20-$50/hour via InApps Technology) optimizes costs for Ansible-Kubernetes projects, saving 20-40% compared to U.S./EU rates ($80-$150/hour).
- Use Cases:
- Automating OpenShift cluster deployments for enterprise cloud-native applications.
- Managing multi-cluster Kubernetes environments across hybrid clouds.
- Streamlining CI/CD pipelines for containerized microservices with Ansible-driven deployments.
- Automating database or monitoring stack setup using Ansible Operators.
- Challenges:
- Learning Curve: Teams new to Ansible or Kubernetes may require training to leverage playbooks and operators effectively.
- Complexity: Managing large-scale, multi-cluster environments with Ansible requires careful playbook design to avoid conflicts.
- Integration: Combining Ansible with existing tools (e.g., Helm, Terraform) may need custom configurations.
- InApps Technology’s Role:
- Provides expertise in Ansible and Kubernetes, implementing automated workflows for cluster management and application deployment.
- Leverages Vietnam’s 200,000+ IT professionals, offering cost-effective rates ($20-$50/hour) for high-quality solutions.
- Supports Agile methodologies with tools like Jira and Slack, ensuring seamless collaboration across global teams (GMT+7).
- Recommendations:
- Start with Ansible Kubernetes Collections for simple tasks (e.g., pod deployment) to build familiarity.
- Use Ansible Operators for complex applications requiring lifecycle automation (e.g., databases, message queues).
- Integrate with OpenShift for enterprise-grade Kubernetes management with built-in Ansible support.
- Partner with InApps Technology for expert Ansible-Kubernetes automation, leveraging Vietnam’s skilled developers to deliver scalable, cost-effective solutions.
Read more about Red Hat Brings Ansible Automation to Kubernetes – InApps Technology at Wikipedia
You can find content about Red Hat Brings Ansible Automation to Kubernetes – InApps Technology from the Wikipedia website
Red Hat’s Ansible automation platform is soon coming to an OpenShift Kubernetes cluster near you. This week at AnsibleFest, Red Hat previewed an Ansible integration with Advanced Cluster Management (ACM), a tool for managing and scaling OpenShift clusters across the hybrid cloud released earlier this year.
ACM provides lifecycle cluster management, policy-based management, and advanced application deployment, and with the addition of Ansible, Red Hat OpenShift users are now able to insert Ansible automation directly into those lifecycles without the need for ad hoc scripts or other methods.
“You could always use Ansible in an OpenShift environment, but what we’ve done here is we’ve instrumented it. For example, during cluster lifecycle creation, there’s a place where you can actually configure an Ansible playbook to be run at the appropriate point in time,” explained Joe Fitzgerald, vice president and general manager of the management business unit at Red Hat. “You could have done it before, but the challenge would be, when somebody goes and configures a cluster, are they doing it out of a script? Are they doing it out of a console? It could be a one-line playbook that opens a ticket, it could be that simple, but now, you can plug that in, whereas before it would have been incumbent on the person to say what’s the mechanism to get called at the right point in time.”
Fitzgerald offered a number of examples for where Ansible automation could be employed, including connecting an application to a load balancer after deployment or, on the process and governance side of things, Ansible could be used for remediation purposes, warning about when an application violates certain policies and putting it back into compliance as needed. As for the various automated actions possible with Ansible, this has been something the platform has been focusing on over the past year, with its introduction of Ansible Content Collections.
These collections, of which there are now more than 55, provide certified Ansible content maintained by Red Hat, while the Private Automation Hub gives Ansible users a way to share custom playbooks internally.
While the name Advanced Cluster Management might appear to insinuate that the tool is intended only for those with more complicated OpenShift deployments, Fitzgerald said that, to the contrary, it has seen interest in the tool “regardless of scope and size,” with an “almost universal interest in ACM across our customer base.”
While an organization may only be running a single cluster, they may be in a regulated industry and need policy enforcement, and ACM provides that. Similarly, for an organization running a few clusters, ACM provides visibility into cluster health, and now with the Ansible integration, ACM acts as “a management control plane that allows us to architect these Ansible points very crisply.”
Currently, the Ansible integration with ACM is being introduced in tech preview, with general availability not yet determined. At the same time, Red Hat is also showcasing a “proof of concept,” said Fitzgerald, for a Knative invocation of Ansible. Knative is an open source project that allows users to run containers on Kubernetes as serverless, event-driven workloads.
“Think about event driven automation, where Ansible playbooks can be invoked instead of Python or something else. Then you can start configuring things in the future that says, ‘When I receive this event, I want to run this playbook.’ It’s yet another way to make it easy to plug in automation when something happens, as opposed to going through very complicated plumbing or getting a team involved, in order to automate something at the right point in time,” said Fitzgerald.
Feature image by Katharina N. via Pixabay.
Source: InApps.net
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