GitLab announced the general availability of GitLab Duo with Amazon Q.
Although DBAs fortunately have the rare ability to bridge the gap between development and operations, they have been detrimentally overlooked in many companies that deploy DevOps practices. A DBA's ability to interrogate code and construct a resilient, well–performing database environment uniquely defines the capabilities needed for DevOps.
DevOps requires transformation from organizational silos defined by a technology skill set to process-driven, continuous flowing work streams that are empowered by collaboration and automation. DevOps is about speed, delivery time, continuous integration and deployment, release cadence, and superior customer experience. Although metrics are critical for measuring customer experiences such as application responsiveness, they are also needed to measure release success rate, software defects, test data problems, work, and more.
DBAs tend to be strong technical leaders who provide insight into coding best practices, host platform configurations, database performance improvements, data security and protection. To be successful, DBAs have to communicate, collaborate, teach, and learn while continuously improving database performance and availability. The job often includes having to meet with development to discuss poor performing code, index requirements, or execution plans to recommend code remediation. These "normal" interactions are imperative to the success of DevOps, leaving me perplexed about why DBAs were not one of the first operations team members asked to join the DevOps movement.
Transition
Understanding that DBAs are "built" in significantly different ways should help with the approach. Many DBAs were once developers, others came from various infrastructure roles, and still others have always been DBAs. Determining which DBA type is easier to bring into the fold is a fool's game. DBAs are people, and people are surprisingly unpredictable. One ex-developer DBA may be excited to finally be able to use both skill sets to help advance DevOps, whereas another may be perturbed by having to dig up old skills she had hoped were long dead and buried.
Individually interviewing and evaluating each DBA may be necessary. Much like interviewing potential employees, discernment is needed to assess fit, training needs, and potential disruptive factors that may impact the existing DevOps team members. The right leaders and SMEs need to be involved and dedicated to the time and effort needed to integrate DBAs. Rest easy; the good news is that even if some DBAs may resist, they all want to provide value by improving the environment.
Besides, as you start to expand participation in DevOps, you already have a handful of people in mind to make the voyage smoother. You know who I'm talking about. Yes, the ones you see talking to the development teams on a regular basis, checking in to see how things are going, seeing what changes are coming down the pipe, asking what the application users are saying about performance, and even offering to assist as needed. These people should be your initial picks to join the DevOps team. Specifically, you should find DBAs who are already engaged, bring them on board, and then let them help you select and onboard other DBAs when needed.
Having a trusted and respected DBA doing the team's bidding for additional DBA talent is likely to result in volunteers. People want to work with people with whom they have an established relationship. Leverage previous successful working relationships to resourcefully construct the DevOps team.
This blog is an excerpt from Mike Cuppet's book: DevOps, DBAs, and DBaaS(link is external)
Read DBA: Bridging the Gap Between Development and Operations - Part 2
Industry News
Perforce Software and Liquibase announced a strategic partnership to enhance secure and compliant database change management for DevOps teams.
Spacelift announced the launch of Saturnhead AI — an enterprise-grade AI assistant that slashes DevOps troubleshooting time by transforming complex infrastructure logs into clear, actionable explanations.
CodeSecure and FOSSA announced a strategic partnership and native product integration that enables organizations to eliminate security blindspots associated with both third party and open source code.
Bauplan, a Python-first serverless data platform that transforms complex infrastructure processes into a few lines of code over data lakes, announced its launch with $7.5 million in seed funding.
Perforce Software announced the launch of the Kafka Service Bundle, a new offering that provides enterprises with managed open source Apache Kafka at a fraction of the cost of traditional managed providers.
LambdaTest announced the launch of the HyperExecute MCP Server, an enhancement to its AI-native test orchestration platform, HyperExecute.
Cloudflare announced Workers VPC and Workers VPC Private Link, new solutions that enable developers to build secure, global cross-cloud applications on Cloudflare Workers.
Nutrient announced a significant expansion of its cloud-based services, as well as a series of updates to its SDK products, aimed at enhancing the developer experience by allowing developers to build, scale, and innovate with less friction.
Check Point® Software Technologies Ltd.(link is external) announced that its Infinity Platform has been named the top-ranked AI-powered cyber security platform in the 2025 Miercom Assessment.
Orca Security announced the Orca Bitbucket App, a cloud-native seamless integration for scanning Bitbucket Repositories.
The Live API for Gemini models is now in Preview, enabling developers to start building and testing more robust, scalable applications with significantly higher rate limits.
Backslash Security(link is external) announced significant adoption of the Backslash App Graph, the industry’s first dynamic digital twin for application code.
SmartBear launched API Hub for Test, a new capability within the company’s API Hub, powered by Swagger.
Akamai Technologies introduced App & API Protector Hybrid.