Redgate this week previewed machine learning capabilities that it is adding to its test data management and database monitoring platforms that are scheduled to be made generally available in the first quarter of 2025. Source: DevOps.com
0 CommentsIBM Research is testing a set of artificial intelligence (AI) agents that both discovers bugs in code found in a GitHub repository and recommendations to remediate them. Source: DevOps.com
0 CommentsA survey of 106 leaders and practitioners involved in software supply chain security finds more than three-quarters of respondents (76%) work for organizations that have made software supply chain security a significant or top (24%) priority. Source: DevOps.com
0 CommentsSymbiotic Security emerged from stealth this week to launch a namesake platform that enables application developers to discover and remediate vulnerabilities and other errors in real-time as code is being written. Source: DevOps.com
0 CommentsKloudfuse today updated its namesake observability platform to add support for continuous profiling and real user monitoring (RUM) along with additional analytics and artificial intelligence (AI) capabilities. Source: DevOps.com
0 CommentsBalancing agility and security in DevSecOps is achievable with the right mix of automation, collaboration and continuous feedback. By embedding security into agile processes, organizations can deliver software that is both fast and secure, meeting the demands of today’s fast-paced tech environment. Source: DevOps.com
0 CommentsObservability in 2030 will require integrated telemetry across layers, events for context, and decoupling telemetry collection from analysis, ensuring seamless multi-signal observability. Source: DevOps.com
0 CommentsThe true business value of providing a best-in-class developer experience is not being articulated enough, and that is — improved developer experience is a profit driver, not a cost center. Source: DevOps.com
0 CommentsFor decades in the software industry, we have focused on testing our applications under the reassuring streetlight of GitOps. It made sense in theory: Wait for changes to the codebase made by engineers, then trigger a re-test of your code. If your tests pass, you are good to go. Source: DevOps.com
0 CommentsAI agents can transform DevOps practices, leading to more robust, efficient and cost-effective operations while freeing human engineers to focus on higher-level strategic tasks and innovation. Source: DevOps.com
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