Leverage DevOps, intelligent automation and AI to the fullest extent for lightning-fast delivery and management of applications
Blessed with a motley crew of brilliant ideas for killer apps? First of all, you’ll need the power to deliver new disruptive ideas to the market blazingly fast and with the right quality. Classic software delivery based on manual work and more mythical man months will only get you so far. To leapfrog, you must automate. Radically. Next to industrializing infrastructure delivery, it’s a matter of fully automated, vanguard software development, deployment, and management pipelines. These cover the full applications lifecycle, even monitoring the actual business performance of applications and automatically taking corrective actions. Put your app engines on and get ready to rock!
- DevOps-style continuous delivery is based on multi-disciplinary teams that seamlessly work together; it also builds on highly automated “tool trains” often based on open source technology that cover the entire applications lifecycle in the blink of an eye.
- Systems that are purposely architected on the principles of speed, safety, and scalability are stable and yet can accommodate rapid, iterative change.
- Automation can be extended to monitoring the actual business performance and business usage of the application, applying Artiﬁcial Intelligence to detect and correct inefﬁciency and anomalies without human intervention.
- An industrial manufacturer increased its IT process efﬁciency by over 30% by implementing end-to-end process automation, also covering data integration and the veriﬁcation process.
- A European bank drastically moved to DevOps-style, highly automated software delivery, changing its image of error-plagued laggard to innovation leader.
- A large stock exchange replaced its incoherent set of application management tools with an end-to-end, automated suite; it enabled them to ﬂuently migrate their application landscape to the public cloud without the danger of failing performance and low-quality results.
- Rapid delivery of potentially disruptive solutions to the market, starting from Minimum Viable Products that can quickly and iteratively be extended and improved.
- Lower cost of software development and maintenance, combined with higher software quality.
- Optimization of application performance and opportunities to proactively monitor and improve the business impact of software.