Check Point® Software Technologies Ltd.(link is external) has emerged as a leading player in Attack Surface Management (ASM) with its acquisition of Cyberint, as highlighted in the recent GigaOm Radar report.
As enterprise DevOps becomes increasingly mainstream in the year ahead, a flurry of innovations and new improvements will further its progression, fueling more ambitious software development strategies worldwide. Here are a few of our predictions for how enterprise DevOps will likely evolve in 2018 and beyond:
Tim Buntel, VP of Products, XebiaLabs
■ In Cambridge, Mass, you can't throw a VC without hitting a machine learning startup founder. Yet the adoption of machine learning in DevOps has been surprisingly slow. A large part of DevOps is automation. Automation produces data. Frequent automated deployments produce lots of data. And for DevOps teams, there's gold in that data. In 2018, we'll likely see more machine learning techniques applied to optimizing software quality and delivery. Machine learning can help identify ways to improve team efficiency throughout the entire process — from idea to customer value.
T.J. Randall, VP of Customer Success, XebiaLabs
■ In 2018, customers will demand access to information that will help them evaluate the maturity and effectiveness of their DevOps initiatives. This data, along with features for analytics and reporting, will be necessary for proper planning of their continued transformations.
■ Organizations will increase their focus on governance of the entire delivery pipeline, going beyond simply automating deployment to certain environments. This shift in priorities will ensure consistent delivery across the entire path to production.
■ Look for more emphasis on using a single, unified approach to cover diverse technology stacks. One effect of this trend is that it will no longer be acceptable for the CTO to have different development units solving deployment release needs within silos.
Andrew Phillips, VP of DevOps Strategy, XebiaLabs
■ As organizations continue to see the efficiency and ROI gains that come from doing enterprise-wide initiatives, fewer individual teams will have the option to "go it alone."
■ More than ever, companies will expect to see best practices and real-life examples of large enterprises that have implemented DevOps all the way through production. Related to this will be a decreased tolerance (perhaps prematurely) for "Wild West" experimentation and an emphasis on "getting it right first time."
■ Demand for hard numbers and other data that justify the cost and time required for a "DevOps transformation" will rise, as will interest in DevOps platforms that make it easy to understand that data.
Andreas Prins, VP of Product Development, XebiaLabs
■ An increasing number of organizations will discover that software creation is their foundational activity and that they must improve it to survive and thrive. Those who can continually remove barriers in their delivery process will build a competitive advantage.
■ Continuous delivery is not owned by IT, release management, or any one department alone. In 2018, more organizations will come to understand this and will adopt a "dual-mode" approach, which enables everyone in the pipeline to work in an optimal way. Companies that use this method will fast forward their delivery process.
■ In 2018, we'll see a growing understanding of how DevSecOps can solve many security and compliance issues. Organizations that integrate security into their software delivery pipeline will disentangle new energy and capacity in their development departments.
Industry News
GitHub announced the general availability of security campaigns with Copilot Autofix to help security and developer teams rapidly reduce security debt across their entire codebase.
DX and Spotify announced a partnership to help engineering organizations achieve higher returns on investment and business impact from their Spotify Portal for Backstage implementation.
Appfire announced its launch of the Appfire Cloud Advantage Alliance.
Salt Security announced API integrations with the CrowdStrike Falcon® platform to enhance and accelerate API discovery, posture governance and threat protection.
Lucid Software has acquired airfocus, an AI-powered product management and roadmapping platform designed to help teams prioritize and build the right products faster.
StackGen has partnered with Google Cloud Platform (GCP) to bring its platform to the Google Cloud Marketplace.
Tricentis announced its spring release of new cloud capabilities for the company’s AI-powered, model-based test automation solution, Tricentis Tosca.
Lucid Software has acquired airfocus, an AI-powered product management and roadmapping platform designed to help teams prioritize and build the right products faster.
AutonomyAI announced its launch from stealth with $4 million in pre-seed funding.
Kong announced the launch of the latest version of Kong AI Gateway, which introduces new features to provide the AI security and governance guardrails needed to make GenAI and Agentic AI production-ready.
Traefik Labs announced significant enhancements to its AI Gateway platform along with new developer tools designed to streamline enterprise AI adoption and API development.
Zencoder released its next-generation AI coding and unit testing agents, designed to accelerate software development for professional engineers.
Windsurf (formerly Codeium) and Netlify announced a new technology partnership that brings seamless, one-click deployment directly into the developer's integrated development environment (IDE.)