CA’s BTCS2.0: Change Is The New Normal
Jun07

CA’s BTCS2.0: Change Is The New Normal

SANTA CLARA, Calif.: Determined to be the leading toolmaker for the software-enabled, data-driven, digital transformation business phenomenon that is reshaping the world, CA Technologies held its second annual Built to Change Summit to update analysts and journalists on where it is, and where it wants to go. At last year’s BTCS the venerable software developer (1976) detailed how it was transitioning from a $4-billion legacy software giant with relatively flat sales into a more agile and fast-growing DevSecOps vendor for the the rapidly emerging DT world. Fast-forward 11 months and the company reported quarterly and annual revenue increases to $1.083 billion and $4.235 billion, respectively, and is forecasting relatively flat growth for the next quarter. In addition to its financials, CA also announced it would be laying off 800 (out of 11,000 employees) in restructuring, and adding another 500-600 staff with ‘different skills’. The company needs fewer employees with skills related to “legacy platforms” and more with skills related to software as a service, said CEO Michael Gregoire. While the company’s roots are in the mainframe, which is undergoing something of a renaissance, it is DevOps and more specifically DevSecOps where it’s future lies.Depending upon your source, DevOps is a flourishing market, especially in the enterprise. Forrester Research declared 2017 to be the year of DevOps with 50% of organizations implementing it, and 2018 will be the year of enterprise DevOps. ‘DevOps has reached “Escape Velocity”’, noted Principal Analyst Robert Stroud, with momentum occurring within all industry sectors but with healthcare, banking, insurance and manufacturing sectors leading the charge. In addition to forecasting a global DevOps software market in excess of $5.6 billion by 2021, IDC offered some interesting predictions that should sit well with CA’s DevSecOps ambitions, including: -cognitive computing, artificial intelligence, and machine learning will become the fastest growing segments of software development by the end of 2018; by 2021, 90% of organizations will be incorporating cognitive/AI and machine learning into new enterprise apps -by 2019, over 70% of routine development-lifecycle tasks will be automated, supported by AI fed from existing data streams, with an agile DevOps pipeline driving and incubating lifecycle and application development intelligence; -by 2021, over 50% of CIOs will have appointed heads of delivery; integrated their dev, PMO, and ops groups; reduced silos; expanded their DevOps practices; and implemented shift-left testing to accelerate innovation; and, -development without integrated security and compliance will fail; progressive orgs have prioritized security due to uptime and compliance concerns, accelerating the need for agility and a curated OSS-dev portfolio. Security-led development will be a priority for 90% of orgs by 2020. 451 Research (together with security software testing...

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