Today’s database professionals are under a tremendous amount of pressure to rapidly deploy application updates and enhancements in order to remain competitive and drive better results for the business.
Many organizations have implemented DevOps, a set of practices that emphasize automation, collaboration and communication between software developers and IT pros. It establishes a culture and environment to build, test and release software in a more frequent and reliable fashion, while embracing agile methodologies, continuous integration and continuous deployment processes. MarketAnalysis.com expects the DevOps and Microservices Ecosystem market to broaden at a compound annual growth rate (CAGR) of 16% from 2017 to 2022, reaching $10 billion by 2021.
Historically, if application changes required changes to the database, the process was slowed down, resulting in a bottleneck because database development organizations have mostly followed a more traditional, waterfall methodology. Additionally, most Oracle shops do not conduct automated database code testing and do not have the ability to integrate with existing application build automation processes, slowing down the process and placing deployments at risk.
Database DevOps tools for continuous integration and deployment
Build, test and release database changes with greater velocity and reliability. Discover how our database tools for DevOps accelerate the deployment of database changes together with applications by integrating with the continuous integration and continuous delivery aspects of the DevOps process.
Automate database change management from within your current DevOps workflow with support for continuous integration/continuous delivery tools, including Jenkins, Bamboo and Team Foundation Server.
Break down the barriers to high-velocity DevOps by introducing database development and change management into your workflow.
Manage database source code the same way you manage application source code: embracing agile and DevOps methodologies. Execute key database development functions within your DevOps workflow without compromising quality, performance or reliability.
Automate Oracle PL/SQL functional testing to ensure that your code will run according to functional requirements, from integration through deployment and into production.
Perform static and dynamic code reviews on Oracle databases to check the quality and maintainability of your code. Replace manual review with automated analysis and validation against pre-defined standards to reduce risks.
In addition, validate scalability and performance through stress testing using database workload replay or simulated workloads. This ensures your deployments will scale to production-level workloads during the test phase.
Compare and sync schemas and data between source and target databases (Oracle or MySQL) to ensure database integrity when deploying changes across database types (for example, development to QA databases). Follow that up by generating synchronization or change scripts to deploy build artifacts into the DevOps pipeline.
Also, automate the process of promoting build artifacts into your target environment – visualize success/failure rates and report on the build process in various formats, including HTML and JSON. This simplifies script execution to implement changes faster, with reduced risk.
Use our Oracle and MySQL tools to automate your DevOps workflows. Boost productivity and increase confidence in your deployments without compromising quality, performance or reliability.
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