As organizations race forward in their cloud migration and digital transformation efforts, development and operations teams have come under tremendous pressure. Tasked with innovating to unlock new business opportunities, they often find themselves hampered by large, monolithic, brittle applications that don’t talk to each other, siloed teams that don’t collaborate, too many manual processes, and multiple complex tools. According to GitLab’s 2021 DevSecOps global survey, nearly 50% of operations professionals said their teams use between two and five monitoring tools.

Part of the solution is to adopt a modern DevOps methodology, merging development and operations into a continuous integration/continuous deployment (CI/CD) pipeline. A majority of developers say they’re releasing code 2x faster than before, thanks to DevOps — up 25% from (pre-pandemic) 2021.2 But achieving success with cloud-native transformations and application modernization requires moving away from disconnected, manual processes dependent on legacy source code management (SCM) and CI tools to achieve essential automation that increases speed to value.

How Automated Software Delivery makes DevOps faster and easier

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