Why DevOps Is Not Dead: The Rise of Platform Engineering and Its Impact on Modern Operations
The article argues that DevOps is still alive, explains the shortcomings of isolated operational practices, introduces platform engineering as the next evolution, and discusses practical considerations such as third‑party software selection, cloud‑native adoption, and the role of internal developer platforms in improving organizational efficiency.
First page – Heard DevOps is dead
At the end of 2022 InfoQ published a popular article titled “DevOps is dead, platform engineering is the future,” which highlighted several points: developers do not want to become operations engineers; senior engineers are forced to handle environment configuration and junior requests; beyond CI/CD there are many complex operational scenarios such as configuration management, dependency management, cross‑environment deployment, and unified security control; and while large tech companies can successfully implement DevOps, most teams find it difficult to replicate.
The article also referenced Gartner’s hype‑cycle, placing platform engineering in a rising phase that will reach maturity in 2‑5 years.
It questions whether a unified operations platform still has value once a DevOps team matures, concluding that such platforms remain useful for standardization and automation.
What problems arise from independent governance
When teams work in isolation, they encounter issues such as inconsistent software selection, health of open‑source projects, commercial support, licensing compliance, legal compliance, non‑functional requirements (stability, reliability, security), and operational features like rollback, scaling, upgrades, and backup.
Adopting cloud‑native tools (e.g., Kubernetes) introduces additional challenges: integration with existing IT policies, compatibility, and even influences on application architecture.
Misuse of Kubernetes can lead to problems like node anti‑affinity causing unschedulable pods, malicious images stealing resources, local storage misuse causing data loss, and misconfigurations that break clusters. Different teams often create heterogeneous clusters, further increasing operational risk.
I look at platform engineering
Platform engineering is defined as the discipline of designing and building toolchains and workflows that provide self‑service capabilities in the cloud‑native era, typically delivering an internal developer platform (IDP) that covers the entire application lifecycle.
Platform teams support organizations in three main areas:
Infrastructure : Provisioning and automating compute, network, storage, and middleware using tools like Terraform, Kubernetes CRDs, etc., to deliver reliable, secure, high‑performance resources.
Standards : Defining security, deployment, release, best‑practice, and resource‑management guidelines to ensure consistency across teams.
Tools : Building the IDP and related capabilities, including third‑party software onboarding, infrastructure supply and isolation, Dev(Sec)Ops pipelines, and enforcement of standards.
Overall, the article emphasizes that platform engineering, not the disappearance of DevOps, is the emerging trend that helps organizations scale operations while allowing development teams to focus on business value.
DevOps
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