Database DevOps

Deliver change to remove bottlenecks and increase productivity in an agile, rapid and low risk way with Database DevOps.

Database DevOps service Triton Consulting
Database DevOps focuses on integrating databases into the DevOps Software Development Life Cycle – enabling an organisation to deliver services, products, and channels to market faster.


Why adopt Database DevOps?

Just as DevOps doesn’t end with development of an application, Database DevOps doesn’t end with development of the plan. Our Database DevOps implementation service ensures the objectives of DevOps are achieved, working closely with a client’s staff to assist with the delivery of Database DevOps practices, tools and processes.


Discover the benefits

Accelerate Innovation

How you can use Database DevOps to improve your agility and power digital transformation

Increase Quality

Database DevOps improves the quality and suitability of the end product

Reduce Costs

Database DevOps brings automation and standardisation allowing better utilisation of existing assets

Integrate Platforms

Database DevOps makes any database a first-class citizen in the DevOps process


Why Triton?

We’ve helped many large organisations adopt Database DevOps. With our help, they’ve accelerated test and delivery cycles and achieved multi-million-pound savings. We’re proud to say that our work has brought us, and our customers, IT industry awards for innovation.

Whether at the start of your development project or looking to modernise existing processes, we evaluate your current capabilities and objectively compare against industry best practice to highlight specific opportunities for improvement. With a set of clear well-defined objectives, we can work with the owners and practitioners of the current services to plan implementation of DevOps tools, processes and culture change.


Get Started


To talk to our expert team about how Database DevOps could help you get more from your mainframe, contact us now.



So, if that is Database DevOps, what is DataOps?

DataOps is all about analytics.  Extracting value from data faster, with more accuracy, and refocussing effort on coming up with new insights instead of firefighting quality issues. DataOps makes your business data available where it’s needed, when it’s needed.

Avoid drowning in data. Discover more about DataOps or contact us to begin your data transformation.




Mainframes need DevOps too


Stuck in a data swamp?

Fast-changing markets demand better products, launched quickly. But it can be hard for development teams to keep pace with the demands of the business whilst satisfying the need for data integrity and database performance.

How Database DevOps drives innovation

  • By integrating the work of development and operations teams, Database DevOps helps them work together to get better results, faster.
  • The DevOps approach promotes collaboration throughout your organisation, not just technical teams. With increased business knowledge in the development phase, you get the solution your organisation needs.
  • With Database DevOps, you can advance development on multiple tracks at once. Even code that affects the database can be deployed safely hundreds or even thousands of times per day via continuous integration and deployment (CI/CD) techniques, enabling your organisation to react to changing markets and customer needs faster than the competition.

Delivering quickly is no good if the end product is faulty, slow or does not meet the needs of the customer or business requirements. But manual quality checks and traditional working practices add time and can cause friction between teams.

How DevOps for Data improves quality

  • By moving to an iterative development process, product owners, developers and operators can regularly review each feature’s progress to ensure the result matches the vision. These small, frequent reviews promote agile co-operation between the teams.
  • With more frequent and granular reviews, bugs can be found sooner and the impact to resolve them is minimised with less dependent code changes and retesting required. The technical debt accumulated with each release can be substantially reduced.
  • With the use of both open source and proprietary tools, code can automatically be reviewed not just for functional defects, but security, performance and stylistic problems can be detected, measured and reported. Existing tools used for code quality such as code linting and static code analysis can be extended to support the database artifacts and integrated as part of the overall build process.
  • Subject to the appropriate checks and controls, database code can be promoted across all environments up to production using reliable tooling to remove the risk of human error. Often this can be done by automating existing tooling, enabling proven tools to offer further value.

With a faster pace of development comes a requirement for more resources to develop and test with, but the business pressure to ‘do more with less’ has never been greater.

How Database DevOps reduces costs

  • With expert knowledge of data systems, the Database DevOps service enables the same standard software tools used for orchestrating application development to be securely and reliably used to control the database components – reducing setup, support and maintenance costs. Open source toolsets such as Git, Jenkins and Ansible are now a possibility.
  • Automating the mundane tasks of deployment and code review allows skilled staff to concentrate on adding value to enhance system design and performance, increasing their productivity, engagement and job satisfaction.
  • By integrating systems based on traditional technologies such as UNIX or mainframes that might otherwise be considered ‘legacy’ into the DevOps process, they can continue serving the business and enhance return on investment.

For many businesses, integrating the database is the last piece of the DevOps puzzle.  As the cornerstone of any application, the mix of art and science required to produce a performant, secure, reliable database can seem impossible to master with modern DevOps techniques.


How Database DevOps facilitates platform integration

  • With the capability and experience to integrate all types of databases into the DevOps pipeline, systems as disparate as mainframes and cloud platform-as-a-services can work together as integral parts of the enterprise.
  • With the database a part of the DevOps CI/CD pipeline, new architectural styles can be more easily supported – microservices, event-based processing, hybrid cloud developments all become a realistic prospect, enabling existing data systems to provide services to more applications.
  • In addition to enabling agile development, Database DevOps makes the platform itself agile using modern tools such as Ansible to build even mainframe environments. And it need not stop with the database itself, other related components such as transaction managers can be included to provide a complete technology stack.

Introducing modern, cross platform graphical and command line tools for creation and maintenance of database objects and jobs provides a familiar and easy to learn environment for the next generation of staff.