Config Management Tools 2026

Ansible, Puppet, Chef. The 2026 picture.

Decline

Configuration management tools (Chef, Puppet, Ansible, Salt) dominated infrastructure operations from roughly 2008 through the mid-2010s. The pattern was: provision a VM, then have a config-management tool bring it to a desired state by installing packages, writing config files, and managing services. Then containers happened. Most of what config management was solving became a problem you no longer had.

Why config management has declined:

• Containers replaced most use cases.: A container image is the desired state. The image is built once with the right packages, the right config, the right service. Running the image produces a host in the desired state by definition. The complexity of "convergence" (the central concept of config management) goes away because containers do not converge; they are or are not.
• Less relevant in cloud-native.: Modern cloud-native architectures (Kubernetes, serverless, managed services) do not have long-lived VMs that need state managed. The infrastructure layer is ephemeral; what would have been managed by Chef or Puppet is now managed by container orchestration.
• Faster deploy cycles.: Config management was good at slow, careful state convergence. It is bad at the fast iteration cycles modern engineering operates in. A change to a Chef cookbook that takes 20 minutes to roll across the fleet is too slow when teams ship features many times per day.
• Containers solve the "snowflake" problem.: The biggest practical use case for config management was preventing snowflake servers (machines that drift uniquely from each other). Containers solve this by being immutable. Two pods running the same image are identical by construction; there is no drift to prevent.
• Operational complexity reduction.: Config management itself was infrastructure that needed maintenance. Cookbooks, playbooks, recipes, modules: each was code that needed testing and deployment. Eliminating the layer reduces the operational surface significantly.

The decline is structural. Most teams that adopted Kubernetes and container-first deployment have retired their config management tools entirely. The category is shrinking but not disappearing.

Ansible

Of the major config management tools, Ansible has aged best. The combination of agentless architecture, lower learning curve, and broad integrations makes it useful for the cases where config management is still appropriate.

• Still useful for VM-based infrastructure.: Some workloads cannot run in containers (specific OS requirements, kernel-level operations, legacy software that does not containerize cleanly). For these, VMs are still the right deployment, and Ansible is the right tool to manage them.
• Idempotent operations.: Ansible playbooks describe desired state; running them is safe to repeat. The playbook either makes the system match the desired state (if it does not already) or does nothing (if it does). Idempotency is what makes config management tractable; without it, repeated runs would accumulate damage.
• Widely known.: Ansible has the largest install base of the major config management tools. Engineers entering the workforce in 2025 know it because it is what most companies still using config management use. The hiring market for Ansible expertise is healthier than for Chef or Puppet.
• Hybrid environments.: Companies with mixed infrastructure (some Kubernetes, some VMs, some bare metal) use Ansible for the non-container parts. The tool covers the gap that container orchestration cannot cover.
• Provisioning bootstrap.: Ansible is also useful for the work containers do not cover: bootstrapping new servers, configuring base OS images that containers run on, managing network appliances. The use cases narrowed but did not disappear.

Ansible is the config management tool to use if you need one. The cases where you need one have shrunk; the tool that fills the remaining cases is mostly Ansible.

Limit

The strategic question is whether to invest in config management at all for new systems. The answer for most teams in 2026 is no. Container-first architectures cover most use cases without requiring config management.

• For new systems, prefer containers.: The default for new infrastructure should be Kubernetes-deployed containers. The complexity is paid once at the platform level; individual workloads benefit without their teams having to learn config management.
• Skip config management where possible.: If the workload can run in a container, run it in a container. The path of least operational complexity is the right path; resisting it because of legacy patterns produces worse outcomes.
• Use immutable infrastructure for VMs.: When VMs are necessary, use Packer or similar to build images with the right state baked in. New VMs are launched from the image; updates produce new images. The convergence problem is replaced with the rebuild problem, which is operationally simpler.
• Maintain Ansible knowledge for existing infrastructure.: The team that already runs Ansible should keep maintaining it for the systems that need it. Migrating away aggressively is expensive; living with it where it works is cheap.
• Watch for end-of-life.: Chef, Puppet, and Salt have all had ownership and product changes that affected their long-term viability. The team using these tools should watch the upstream and have a migration path planned. Being caught with abandoned config management is a real risk.

Config management is a category in transition. Nova AI Ops integrates with both container orchestration and traditional config management tools, surfacing the operational metrics across the hybrid environment so teams can manage both layers from a single view as they migrate from one to the other over time.