Since its emergence, many companies have made great strides with DevOps, advancing their development processes.
However, for DevOps to continue transforming enterprises, it must evolve to address longstanding challenges, take advantage of new opportunities, and spread beyond its comfort zone.
From scalability issues and change management bottlenecks, to poor visibility between development and operations teams and the difficulty of managing the increasing complexity of the cloud and microservices world, new technologies and ways of thinking are needed to take DevOps to the next level.
DBTA held a roundtable webinar with Lonnie Haire, sales engineer, Digital.ai; Arif Hajee, principal solutions engineer, Delphix; and Robert Reeves, CTO, Liquibase, who dived into the latest strategies and innovative solutions for DevOps.
The fact that CEOs now prioritize sustainability, AI and analytics, and 5G will likely lead to further investment and overall spending in these areas, Haire explained.
In 2020, the Covid-19 pandemic and its immediate effects were the omnipresent number one topic in corporate boardrooms – in 2021, as we move ahead and towards the “new normal,” two new mega focus areas are emerging digital transformation and a strong focus on sustainability, Haire continued.
According to Gartner, "By 2023, 70% of organizations will use value stream management to improve flow in the DevOps pipeline, leading to faster delivery of customer value."
In a Business Value Stream, value is measured against business outcomes that deliver growth, revenue, competitive differentiation and market share whereas in a DevOps Value Stream, value is evaluated against outputs including optimized execution, optimized cost, speed of execution, and the volume of software delivered.
The Digital.ai Enterprise Value Stream platform combines both. It is a next-gen platform to intelligently orchestrate the delivery of software-driven business value. The platform offers prescriptive AI-powered analytics solutions enable organizations to identify and diagnose problems that reduce software delivery reliability and efficiency across the software lifecycle, make informed decisions to minimize business impacts.
Integrated enterprise agile planning, DevOps, application protection, and testing solutions comprise an end-to-end orchestration platform, enabling frictionless execution and delivery. AI-powered Insights align software planning with business needs, process optimization, and software delivery to drive business and customer value.
Right now, data is the slowest component of the application development value chain, Hajee said. Companies should have a programmable data infrastructure with features such as:
- Comprehensive data operations programmable via APIs
- All apps, clouds—sync from on prem to multi-cloud and back again
- Data compliance and security with referential integrity
- Version control to manage data with code
- Data immutability via time machine for reliability, resiliency, safety
- Space efficiency via data virtualization for speed, cost savings
- Real data for production- like environments
According to Reeves, database releases create a bottleneck during software development. With Liquibase Database Changes Become ChangeSets in a ChangeLog. Deploy Using Any Standard Automation Tool to Control Liquibase CLI.
An archived on-demand replay of this webinar is available here.