DBA: Bridging the Gap Between Development and Operations - Part 1
April 17, 2017

Mike Cuppett
Author of "DevOps, DBAs, and DbaaS"

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

Read DBA: Bridging the Gap Between Development and Operations - Part 2

Mike Cuppett is a Business Resiliency Architect for a Fortune 25 healthcare organization, and the author of "DevOps, DBAs, and DbaaS: Managing Data Platforms to Support Continuous Integration"
Share this

Industry News

November 20, 2024

Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.

November 20, 2024

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:

November 20, 2024

Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.

November 20, 2024

Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.

November 19, 2024

OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.

November 19, 2024

Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.

November 19, 2024

Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.

November 19, 2024

Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.

November 19, 2024

Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.

November 19, 2024

Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.

November 19, 2024

Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.

November 18, 2024

MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.

November 18, 2024

Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.

Read the full news on APMdigest

November 18, 2024

Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.

November 18, 2024

Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.