Devops

DevOps is a huge movement, a step up from Agile development as it brings everything a couple steps closer. So here is an intro

Databases are a critical part in many infrastructures, so how do you tie them into your Continuous Integration and Deployment strategies?

Cloud Technology is a critical enabler for DevOps and “infrastructure as code” with orchestration. Infrastructure as a Service is the goal.

Scrum, Kanban, Lean, LeSS, SAFe, Nexus, XP and what else can guide you through the Agile transformation at your workplace?

Commit everything to a central repository with versioning, audit trails, branching, etc. “Code is Poetry” and Infrastructure is code too!

Manually or automatically review and check your code

Build new or updated packages from committed, tested and approved code into images and other binaries ready for deployment

Encapsulate code, features and more into artifacts for DevOps pipelines

Continuously build your sources after commits and tests are passed. Works closely with Test Automation Tools

Deliver built code packets or packages ready to delivery pipelines

Docker and CoreOS container help minimize the OS footprint, reduce dependencies and enable “infrastructure as code”, a containerization move

Continuously deploy released packages in a controlled manner to DTAP servers

Store your machine/server/application state/config in subversion or git. “Infrastructure as code” principle

Automatically deploy, decommission, grow or shrink servers or instances and add or remove cluster nodes based on thresholds or scripts

Secret Brokers store your deployment secrets in a remote data store such that IP subnets, account names and salts can be remotely queried

Network, system, services and infrastructure monitoring

Unit and regression Testing and test automation tools

Monitoring of cloud-based resources or an monitor solution in the cloud

Monitor and analyse application, server and security logs