CloudBees today began providing early access Model Context Protocol Server to its Unify platform for centrally managing DevOps workflows across multiple types of continuous integration/continuous delivery (CI/CD) platforms. Source: DevOps.com
0 CommentsArtificial intelligence (AI) can be a hero or an anti-hero in software development, depending on your implementation approach. According to the 2024 DORA Accelerate State of DevOps Report, AI adoption shows promise with 75% of respondents reporting positive productivity gains, but also reveals unexpected challenges, including a 7.2% reduction in software delivery stability. The key […]
0 CommentsBridging the gap between DevOps and business logic means product and application owners should map out business outcomes and then embed them in DevOps pipelines. Source: DevOps.com
0 CommentsDevOps without security is just speed with risk. Now is the time to shift left, automate smart and build security into everything. Source: DevOps.com
0 CommentsDigital transformation continues to be a key focus for many organizations, and this usually means the automation of processes and data. At its core, automation is meant to simplify and streamline business operations. However, if not implemented correctly, it can introduce complexity, risk and fragmentation. The proliferation of automation tools, combined with the rapid growth […]
0 CommentsNew Relic this week added support for the Model Context Protocol (MCP) to its observability platform to surface insights into artificial intelligence (AI) agents and applications. Originally developed by Anthropic, MCP is rapidly becoming a de facto application programming interface (API) for enabling interoperability between AI agents and other sources of data. New Relic has […]
0 CommentsGearset has extended the scope of the observability of Salesforce applications it provides to include software developed using low-code Flex and object-oriented Apex programming tools. Source: DevOps.com
0 CommentsSupporting today’s DevOps — where AI is involved — requires developers to switch from seeing observability as a solely technical aspect to thinking of it as a way to explain what happens in the system Source: DevOps.com
0 CommentsTo encourage effective AI use among developers and smooth the path to adoption, enterprises must define clear use cases for AI agents. Source: DevOps.com
0 CommentsAlthough having options gives developers more ways to solve specific project requirements, an excessive number of choices can be overwhelming, leading to indecision, procrastination, suboptimal selections or even complete inaction. Source: DevOps.com
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