JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
One overlooked opportunity for improving DEV and OPS collaboration is inviting database administrators (DBAs) to the DevOps conversation.
DBAs function in a unique role where bridging the gap between development and operations occurs daily; numerous DBA pros operate with a foot firmly set in each realm. While there exist DBAs that focus mainly on application development — App DBAs, and Ops DBA, DBAs that center on operations — many DBAs have learned both competencies and those resources are the people CIOs and DevOps leaders must integrate into DevOps teams.
DBAs feel the pain when development and operational mistakes are made; therefore, DBAs tend to lean toward "motivating" development and operational teams to think beyond just their ecosystem. A developer may create awesome code, and the code may even run expediently, but without the developer understanding the impact to the larger supporting operational environment. An operations team member, maybe a system admin for example, might build and configure robust server environments that would meet the hosting requirements for everything, but a database. A DBA can explain and show the impact of each decision.
DBAs provide expertise beyond the database, as many DBAs can tune host operating systems better than system admins that have not specialized in database host configuration. DBAs think capacity, performance, and recoverability at highly proficient levels and can incrementally blend database changes into the release pipeline.
Therefore, by shifting DBAs left, or right, or up, or down, or wherever needed, organizations should begin seeing positive impact in a few months, after allowing time for DBA recommendations to progress through the operational and product development pipelines.
Having these new DevOps team members that speak the language of development and the language of operations allows for purer strategic communications and clearer product requirements understanding, resulting in better business product outcomes.
Master DevOps collaboration with DBA inclusion!!!
Industry News
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mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
Pegasystems announced the general availability of Pega Infinity ’24.1™.