This article is based on analysis originally published by infosecurity-magazine.com, examining the state and direction of DevOps heading into 2018.
DevOps Moves from the Margins to the Mainstream in Enterprise
By 2018, analysts and practitioners expected DevOps to shift from an experimental methodology to a standard operating model for large enterprise teams. The pattern driving this prediction was clear: DevOps had been trialed on low-risk, high-visibility projects, and those successes were building the internal credibility needed to expand into more business-critical systems.
In banking, for example, DevOps practices had been applied to consumer-facing web and mobile applications but had not yet reached high-frequency trading platforms or core banking infrastructure. With proof-of-concept work done, 2018 was expected to be the year teams extended CI/CD pipelines and automated delivery practices into higher-value, higher-risk systems.
Regulated Industries Finally Warming to DevOps and Cloud
Financial services, healthcare, and life sciences had historically been the slowest sectors to adopt DevOps. Two specific concerns had held them back:
- Data security on public cloud infrastructure: Regulated industries were cautious about placing sensitive data in cloud environments, citing compliance risks and uncertainty about shared-responsibility security models.
- Change control overhead: Many regulated organizations operated paper-based change management processes inherited from pre-digital eras. Any practice that increased the frequency of deployments was perceived as a compliance liability rather than an operational advantage.
Both of these barriers had begun to erode heading into 2018. Major cloud vendors invested heavily in achieving compliance certifications for frameworks such as PCI-DSS, HIPAA, and SOC 2, making it easier for regulated organizations to justify cloud adoption to their risk and compliance teams. At the same time, leaner change control strategies underpinned by automation — using continuous delivery techniques to generate auditable, repeatable deployment records — were replacing manual sign-off workflows.
DevSecOps: Shifting Security Left in the Pipeline
One of the most significant trends expected to gain momentum in 2018 was DevSecOps — the practice of integrating security tooling and thinking directly into the software delivery pipeline, rather than treating security as a post-deployment gate.
The core principle is a shift-left approach: vulnerabilities in application code and third-party dependencies are detected and remediated earlier in the development lifecycle, where fixes are cheaper and faster. In practice, this means:
- Automated static analysis and dependency scanning as part of CI pipelines
- Container image scanning before artifacts are promoted to production
- Secrets management practices that prevent credentials from being committed to source control
- Enforcing role-based access control (RBAC) and the principle of least privilege across infrastructure and deployment tooling
Despite these best practices being well documented, adoption was still far from universal. Many development teams in 2018 still lacked a working understanding of secrets management, least-privilege access, or how to interpret vulnerability scan output. Bridging the security knowledge gap within engineering teams remained an open challenge.
Security by Default: Lessons from High-Profile Breaches
A related shift was happening at the software product level. Tools like MongoDB and Elasticsearch had shipped earlier versions with open, unauthenticated configurations by default, which led to well-publicized data exposure and ransomware incidents in the years preceding 2018. These incidents pushed the industry toward a new expectation: software should ship with secure defaults, not leave hardening as an exercise for the operator.
The broader implication for DevOps teams is that ease of adoption can no longer be achieved at the expense of security posture. Infrastructure-as-code templates, Helm charts, and cloud deployment configurations increasingly need to enforce security settings from the start.
Open Source as the Foundation of Cloud-Native Engineering
By 2018, skepticism about using open source software in production environments had largely faded. Nearly every successful modern online business had been built on a foundation of open source components, and enterprise engineering teams were following suit.
Projects like Kubernetes (container orchestration) and Prometheus (monitoring and alerting) had become central to cloud-native engineering practice. Both are stewardship projects of the Cloud Native Computing Foundation (CNCF), a part of the Linux Foundation, whose mandate includes maintaining open standards and platform agnosticism.
The CNCF model was seen as critical for ensuring interoperability across cloud vendors — preventing lock-in and driving healthy market competition. For DevOps practitioners, this meant that core infrastructure tooling was increasingly portable across AWS, GCP, Azure, and on-premises environments, reducing the strategic risk of committing to a single vendor’s ecosystem.
Summary: The State of DevOps in 2018
| Theme | Direction in 2018 |
|---|---|
| Enterprise adoption | Expanding from low-risk pilots to core business systems |
| Regulated industries | Increasing cloud and CI/CD adoption as compliance concerns ease |
| DevSecOps | Growing focus on shift-left security; still early in adoption curve |
| Secure software defaults | Industry moving away from open-by-default configurations |
| Open source and CNCF | Kubernetes, Prometheus, and vendor-neutral standards gaining broad traction |
2018 represented a maturation point for DevOps — not the beginning, but the moment when the methodology moved from early adopter territory into mainstream enterprise practice. The challenges that remained were less about proving DevOps worked and more about scaling it safely into regulated, high-stakes environments while embedding security into delivery pipelines from the ground up.