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Accelerating Devops using Corestack
This document discusses accelerating DevOps using Corestack. It provides an overview of DevOps pillars and principles like continuous integration, delivery, monitoring etc. It then summarizes popular configuration management tools like Chef, Puppet and Ansible. Next it covers cloud orchestration tools AWS CloudFormation, Azure ARM and Openstack HEAT. It introduces Corestack which provides workspaces to bridge the gap between development and operations with configurable workflows. It offers multi-cloud operations management with capabilities like template builder, service discovery, event-driven remediation and tool chaining.
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Accelerating Devops using Corestack
- 1. Accelerating Devops usingCorestack Template driven model
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- 3. Devops Pillars Collaborative Culture :Alignment and cooperative workflows Design for DevOps : Modular Elastic Infrastructure : Support for Multi Cloud Environment Continuous Monitoring (CM): Real time monitoring Continuous Integration (CI): Merging forward quickly Continuous Testing (CT): Quality testing Continuous Delivery (CD): Modular delivery Packaging
- 7. Configuration Management • Leadingopen source Configuration management tool • Master-Client model with a separate workstation needed for controlling the master • Ruby is used for developing Recipes • Supports Chef Solo • Support Command Line through Knife tools Chef • Leading Open Source Configuration Management tool • Master-Client model and uses model driven approach • Puppet is based on Ruby but uses Customized DSL for writing modules • Strong reporting capabilities Puppet • Automates provisioning, deployment and config. Management • Agent less as it uses Push model • YAML based Templates for writing playbooks • Ansible Tower is not open source Ansible
- 8. Cloud Orchestration •Provision andmanage a collection of related AWS resources in an orderly fashion using templates •Supports JSON and YAML •Allows to manage a stack of resource •Supports dependencies and parallel execution by forming a graph •Allows to structure the input through parameters AWS CFN •Provision and manage a collection of related Azure resources in an orderly fashion using templates •Supports only JSON •Allows to manage Resource group •Supports dependencies and parallel execution by forming a graph •Allows to structure the input through parameters Azure ARM •Provision and manage a collection of related Openstack resources in an orderly fashion using templates •Supports YAML •Allows to manage a stack of resource •Supports dependencies and parallel execution by forming a graph •Allows to structure the input through parameters Openstack HEAT
- 9. An e-commerce marketplace experience coupled with approval workflow reduces the burden on IT operations and increases the productivity of users. Workspaces Bridges Gap between Development and Operations Configurable Workflow Managed Self-Service with Absolute control Cloud Platform Agnostic Support for Chef/Puppet/Ansible for deploying and configuring applications Quota, Budgets and Dashboards Monitoring, Backup, Auto-termination etc are Orchestrated as part of request
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- 11. Effectively manage operationsof your public, private and hybrid clouds with confidence, regardless of your choice of cloud platform and other technology enabling tools that delivers configuration management, monitoring, logging, security management etc.. Multi-Cloud Operations Management Template Builder Service Discovery Scheduler Allows to deploy and manage Complex applications Event Driven Remediation Policy Framework Tool Chaining
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- 14. 14 Thank You Connect with us@ Email:Sabapathy@cloudenablers.com LinkedIn: http://in.linkedin.com/in/arsabapathy Twitter: https://twitter.com/arsabapathy