DevOps
Definition
DevOps
DevOps is an engineering practice focused on the full delivery lifecycle, from code commit to production operation. It removes the wall between development and operations by aligning teams around shared goals, shared tooling, and a shared definition of done.
In detail
Traditional software delivery separates the teams that build software from the teams that run it. That separation creates handover delays, blame cycles, and slow releases. DevOps replaces this with shared ownership of the full delivery lifecycle.
Companies that adopt DevOps practices deploy code 46 times more frequently and recover from incidents 96 times faster than those that do not, according to the DORA State of DevOps Report.
How Tallence helps
Tallence assesses your delivery maturity and implements CI/CD pipelines, Infrastructure as Code, and DevOps enablement workshops.
Learn more about DevOps consultingRelated terms
Site Reliability Engineering (SRE)
An engineering discipline that applies software practices to IT operations, using SLOs and error budgets to balance reliability with delivery speed.
Microservices
An architecture pattern where applications are decomposed into independently deployable services, each owning its domain, data, and deployment lifecycle.
Cloud-Native Development
Building applications designed for the cloud from the ground up, using containers, Kubernetes, serverless functions, and declarative infrastructure.
CI/CD (Continuous Integration / Continuous Delivery)
A practice where code changes are automatically built, tested, and prepared for release, enabling frequent and reliable deployments.
Explore more terms
All glossary terms→FinOps
An operating framework that connects technology, finance, and business teams to manage cloud spending with accountability and transparency.
Hybrid Cloud
A composition of two or more cloud environments (private, community, or public) connected by technology that enables data and application portability.
Private Cloud
A dedicated IT environment used exclusively by one organisation, providing maximum control over data, network, and configuration.
Test Automation
Using specialised tools and frameworks to validate software automatically, catching regressions in every pipeline stage before they reach production.
Application Modernisation
Updating and improving existing applications to meet current standards, using strategies like rehosting, replatforming, or refactoring.
Cloud Migration
The process of moving applications, data, and infrastructure from on-premises or legacy environments to a cloud platform.