Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Ryan Kaw, VP of Global Sales, Catalogic Software
Resilience Becomes the New Velocity
In 2026, the DevOps landscape will mature beyond the focus on faster releases. The new benchmark for operational excellence will be resilience, meaning the ability to recover quickly, maintain compliance, support distributed teams, and sustain system performance during periods of high demand. As development, security, and operations continue to converge, enterprises will embrace a platform engineering mindset that makes resilience, consistency, and reliability intrinsic to software delivery rather than afterthoughts introduced late in the lifecycle.
From DevOps to Platform Engineering
The traditional model of separate Dev, Sec, and Ops functions is steadily fading. Organizations are shifting toward internal developer platforms (IDPs) that offer standardized tools, policies, automation frameworks, and workflows. These platforms manage essential tasks such as provisioning, monitoring, governance, and data protection, allowing developers to focus on creating business value while infrastructure and safeguards operate quietly in the background.
Platform engineering will not replace DevOps. Instead, it will formalize and scale its principles. By codifying proven practices and integrating observability, access controls, policy enforcement, and reliable recovery workflows, enterprises can sustain rapid innovation without losing sight of operational stability. This shift reflects a growing need for unified ecosystems where configuration, deployment, testing, and protection are tightly aligned. As applications expand across hybrid environments and distributed architectures, the role of a centralized platform becomes critical to ensuring consistency and minimizing operational friction.
Accountability and Recoverability as Key Metrics
By 2026, organizations will broaden the way they measure DevOps success. Deployment frequency and lead time will continue to matter, but new metrics will emerge as indicators of maturity, including recoverability, compliance readiness, sustainability, and the ability to maintain service levels during system stress or partial failure.
This evolution aligns with industry wide recognition that data loss, extended downtime, or recovery failures can quickly erase the benefits of fast delivery. A resilient pipeline that can withstand failure and restore operations without disruption is now viewed as a key competitive advantage. As a result, teams will track recovery objectives, validate protection strategies more frequently, and incorporate automated testing of resilience into standard workflows.
Data Protection at the Heart of DevOps
As applications become more distributed, containerized, and dynamic, data protection must follow the same agile principles that guide development and operations. Backup, recovery, and continuity planning will be integrated directly into CI and CD workflows rather than treated as separate post deployment tasks. Protection policies will be encoded as part of platform templates, ensuring consistent coverage across clusters, environments, and workloads.
By embedding protection into automated pipelines, organizations can eliminate gaps that often emerge when data is created or scaled faster than manual processes can handle. This approach also provides developers and operations teams with unified visibility into how data is safeguarded, which workloads meet policy standards, and where improvements are needed.
Compliance and Sustainability in Practice
Compliance expectations will continue to expand across industries, pushing organizations to adopt automated policy enforcement, continuous validation, and routine recovery testing as standard components of their DevOps practices. These processes support audit readiness and help teams demonstrate that safeguards are both implemented and effective.
Sustainability will also become an operational priority. As infrastructure scales to support AI driven workloads and global user bases, organizations will begin to monitor the energy and resource cost of builds, tests, and deployments. This will lead to more responsible, efficient development practices and new cultural expectations around environmental impact.
The Road Ahead
In 2026 and beyond, DevOps will evolve from a movement centered on speed to one focused on reliability, accountability, and sustainable scale. The convergence of development, operations, security, observability, and data protection within unified platforms will define the next stage of digital transformation. Organizations that invest in platform engineering principles will be positioned to build faster, maintain stability, protect critical data, and recover with confidence. This shift represents a significant step forward in operational maturity and will set the standard for resilient software delivery in the years ahead.
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