Glossary
What is DevOps? Meaning, lifecycle and examples
What is DevOps? DevOps is a way of building and running software in which development and operations share one goal and one process: small changes, checked automatically and delivered through the same pipeline every time, with production watched closely so the next change is better informed. It is a culture and a set of practices, not a product, and it works only when every part of the system, the database included, follows the same path.
Glossary Published 6 min read
In short
- DevOps meaning: development and operations working as one team, delivering small changes through an automated pipeline and learning from production.
- The core idea: make change routine. Small, tested changes are easier to check and undo.
- The engine: CI/CD, continuous integration and continuous delivery, which builds, tests and deploys every change the same way.
- The part most teams miss: the database. If the application ships weekly and the schema ships quarterly, the system ships quarterly.
Definition
What is DevOps, in plain terms
The word joins development and operations, long separate teams with opposite incentives: developers were measured on new features, operations on stability. Releases were handed over the wall, and when something broke each side blamed the other.
DevOps removes the wall. The people who write a change share responsibility for it in production, and the steps to production are automated, so they run the same way every time. A team working this way:
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- keeps everything that defines the system in version control: code, configuration, infrastructure and database changes;
- merges small changes often and lets a pipeline build and test each one;
- deploys through the same steps to every environment, so production holds no surprises;
- monitors what users experience and feeds what it learns into the next piece of work.
Why it matters
Why DevOps matters to the business
For an executive, DevOps answers two questions: how quickly can we change what customers use, and how safely. Manual releases make both worse: each carries months of changes, so it is risky, so it is delayed, so the next is larger. Automation breaks that loop: changes shrink, problems surface in testing, and a faulty change is easy to reverse.
Lifecycle
The DevOps lifecycle and CI/CD
The DevOps lifecycle is usually drawn as a loop, because it never ends: what the team learns in production shapes what it plans next.
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Continuous integration (CI) covers the left half: every change is merged into a shared branch often, and a pipeline builds it and runs the tests, so a broken change is found within minutes of being written. Continuous delivery (CD) covers the right half: a change that passes is deployed through each environment by the same automated steps, with approvals where needed. Monitoring closes the loop. How DevOps differs from site reliability engineering is covered in the SRE glossary entry and its SRE vs DevOps table.
The part most teams miss
Database DevOps: the part most teams miss
Most teams automate the application and leave the database where it was: a change request, a maintenance window and one person who knows production. The same four practices apply to it.
| Practice | For application code | For the database | Where Redgate tooling fits |
|---|---|---|---|
| Version control | Source code in Git, reviewed before merge | Schema, permissions and reference data in Git, with the repository as the authority, not a running server | Flyway keeps each schema change as a versioned migration |
| CI/CD | Build, test and deploy every change by pipeline | Apply each migration through the same pipeline, with checks before deployment and a rehearsed reverse | Flyway runs inside GitHub, GitLab, Azure DevOps or Jenkins pipelines |
| Test data | Test fixtures and mock services | Databases that behave like production without carrying its personal data or its size | Redgate Test Data Manager masks, subsets and provisions copies |
| Monitoring | Application metrics, logs and traces | Server health, slow queries, waits, backups and jobs, watched before users notice | Redgate Monitor watches a database estate from one web view |
Each row has its own page: the database DevOps practice, database CI/CD for migrations in an existing pipeline, and Flyway in Saudi Arabia for editions and licensing.
Good practice
Common DevOps mistakes, and what works instead
- Buying a tool and calling it DevOps. A pipeline that deploys large, untested batches only fails faster. Start with small changes and shared ownership.
- Renaming the operations team. A "DevOps team" that receives releases from developers is the old wall with a new name.
- Leaving the database out. Schema changes applied by hand break the automation everywhere else. Put the production schema under version control as a baseline, then deliver every later change as a migration.
- Copying production into test. It is quick, but it puts customers' personal data in places with weaker controls. Use masked or generated data instead; test data management explains how.
- Skipping the reverse. Every change needs a way back, rehearsed in a lower environment first.
Relatedtest data management
Redgate and Interkey
Where Redgate tooling and Interkey help
Interkey implements Redgate's tooling for organisations that want database changes delivered the way application changes already are. The tools are the smaller part of the work; the effort goes into getting a schema whose authority is a running server into version control. A typical engagement captures the production baseline, pilots Flyway on one schema in your existing pipeline, agrees which checks block a deployment and hands over the practice. For estates on SQL Server, Interkey also sets up SQL Server monitoring with Redgate Monitor.
In a Saudi context
DevOps in a Saudi context
Organisations in the Kingdom often run application teams, data-centre databases and outside suppliers side by side, so a shared, recorded delivery path lets everyone see what changed, where and when. Test data deserves early attention, because the Personal Data Protection Law, overseen by the Saudi Data and AI Authority (SDAIA), applies to personal data in every environment, not only in production. Interkey's engineers support this work from Riyadh, in Arabic and English.
Questions teams ask about DevOps
Is DevOps a role, a team or a way of working?
Mainly a way of working. Some organisations hire DevOps or platform engineers to build the shared pipeline, but the practice only works when the people who write changes share responsibility for how they run.
What is the difference between DevOps and CI/CD?
DevOps is the wider approach: shared ownership, small changes and learning from production. CI/CD is the automation at its centre, the pipeline that integrates, tests and delivers each change. A team can run a pipeline without working in a DevOps way, but not the other way round.
Why is the database often the slowest part of DevOps for teams in Saudi Arabia?
Because schema changes are still applied by hand, in maintenance windows, by one or two people who know production, and the application pipeline waits for them. Versioned migrations through the same pipeline remove that wait.
How do we keep personal data out of test databases when we adopt DevOps in the Kingdom?
Give developers and testers masked or generated data instead of copies of production, and make the refresh a pipeline step. The PDPL applies to personal data in every environment; SDAIA publishes the law and its guidance.
How long does it take to bring a database into a DevOps pipeline?
There is no fixed figure. It depends on how many schemas you start with, how far production has drifted from your scripts, and how your approvals work today. A pilot on one schema is the usual first step; any duration we give is an estimate tied to that scope.
How are Redgate tools licensed, and who supports them in Saudi Arabia?
Licences are on Redgate's terms, and Redgate provides product support under the licence. Interkey quotes licences beside its implementation work and supports the pipeline from Riyadh, in Arabic and English.
From the insights library
Continue in the glossary
More technology terms
Short, plain definitions of the terms buyers meet in monitoring, cloud and data projects.
Glossary termWhat is SRE
Site reliability engineering, SLOs and error budgets, and how SRE relates to DevOps.
SolutionDatabase DevOps in Saudi Arabia
Schema changes under version control and automated database deployment.
SolutionFlyway in Saudi Arabia
Editions, licensing and local support for database migrations.
Related pages
Next step
Bring your database into the DevOps pipeline
Tell us which databases you run, how schema changes reach production and which pipeline you use. We will suggest a first schema to pilot and quote Redgate licences and support.
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