You’ll know precisely who made what changes, where changes were made, and why, without wasting precious development time tracking down accurate change history.
In the modern competitive climate, companies are under ever-increasing pressure to be more responsive and adapt readily to consumer demands. That means DevOps managers are faced with increasing pressure to deliver frequent updates, often through an ongoing series of small-scope developments. The Agile development process has aided companies in handling this pressure, with shorter and more frequent development cycles, but pushing frequent database changes to production comes with its own share of challenges.
Need for Rapid, Ongoing Change Leads to DevOps Challenges
In fact, 80% of unplanned downtime is due to change, and more than 50% of unplanned downtime is due to human error. Both the likelihood for human error and the need for greater speed to deployment have led to a rise in the adoption of continuous development practices. A recent survey shows that:
- 65% of companies implement continuous delivery in their applications.
- Just under half (49%) of those companies who practice continuous delivery in their applications are trying to deal with CD for their databases.
- Only 13% of respondents who report doing continuous delivery for the database are actually performing automated continuous delivery, and are following best practices.
So 80% of those who are implementing CD for their applications are unsuccessful when dealing with the database. Half of them avoid trying to implement CD for the database because it’s simply too complex, and the rest – those who are trying to deal with the database – fail to build a working automated process and are plugging the continuous delivery process with various manual steps.
Why? The same challenges that so often plague the DevOps Manager ring true when it comes to continuous delivery for the database:
- It’s too difficult to track who made changes to the database
- It can take hours to get releases functioning properly
- Changes are not documented or left out
- Sending multiple releases to production each day leads to fixes…and more fixes
- Out-of-process updates in the QA aren’t tracked and are inadvertently executed, leading to running the wrong revision
These challenges boil down to a few core root causes:
- A manual, script-based version control process that cannot guarantee a single source of truth for changes
- Deployment tools that are unaware of version control and can result in wrong decision making
- No red flags for continuous processes or automations that identify when a process needs to stop, before creating damage to target environment
DBmaestro TeamWork™: Bringing Effective Automation and DevOps to the Database
With DBmaestro TeamWork™, you can bring effective Automation and DevOps to the database. Instead of isolated version control and development processes that exist in silos, with TeamWork™ you get one single source of truth through an enforced, check-in/check-out process. Not only does this eliminate the need to manually build scripts, but it creates a streamlined development process through which multiple development teams can work in-tandem, each making changes to the database without necessitating a painstaking, hours- or days-long manual process for merging and building the deployment script.
How does DBmaestro TeamWork™ automate processes that, previously, were considered a huge risk if automated? Through Baseline Aware Analysis – it’s a three-way analysis that goes beyond the capabilities of standard compare-and-sync tools by identifying not only whether conflicts exist, but where the conflict originates and whether changes are safe to deploy.
Mitigate Risks with DBmaestro TeamWork’s Policy-Based Development and Deployment
With policy-based development and deployment, you control who has access to changing which objects and what data within the database, streamlining the development process, avoiding unauthorized changes and controlling out-of-process changes that can lead to problems down the line.
This, combined with a highly effective three-way, Baseline-Aware Analysis that enables safe migration to production through a safety net that eliminates the possibility of overriding critical changes that exist in the target environment but are not reflected in the source, eliminates the most substantial risks DevOps Managers face when attempting to bring continuous delivery best practices to the database. This provides a level of risk mitigation that’s simply not achievable with standard compare-and-sync tools.
With DBmaestro TeamWork™, you can:
- Dramatically reduce the time invested in tedious and time-consuming tasks, such as developing and testing database change scripts
- Reducing the time you spend synchronizing configuration drift – the differences between database environments in development, testing, etc.
- Get your development team on the same page with streamlined workflows, efficient roles and permissions preventing out-of-process and unauthorized changes, and the ability for development teams to work in-tandem without risk.
- Save time by reducing documentation requirements, eliminating the need for manual documentation of database changes.
- Have a complete history on all database changes including: Who changed a database object,What the change was, When they changed it and Why they changed it.
- Automatically map database changes to business objectives and tasks.