Choosing the right configuration management tool can be confusing. More so when dozens of tools promise similar features, but only a few actually deliver results. In this guide, we’ve researched, compared, and reviewed the best configuration management systems available today.
Whether you’re a DevOps engineer, platform team lead, or IT operations manager standardizing environments across teams, this article will help you choose with clarity.
Summarize this article for me pleaseWhat Are Configuration Management Tools?
Configuration management tools automate the maintenance of consistent settings, software versions, and system states across your IT infrastructure. This includes everything from servers and networks to cloud environments and containers.
DevOps teams, system administrators, and IT operations professionals use these tools to eliminate manual configuration errors and ensure every environment behaves identically.
A lack of configuration management systems will inevitably cause configuration drift. This is the gradual, often invisible divergence between how a system should be configured and its actual state.
Put simply, this drift is a primary cause of deployment failures and security vulnerabilities. It’s also why you spend countless hours troubleshooting why something that worked in testing suddenly breaks in production.
🧠 Fun Fact: Organizations achieving full-stack observability report 79% less downtime than their peers—highlighting how proper configuration visibility and enforcement dramatically reduce these production issues.
Summarize this article for me pleaseConfiguration Management Tools Software At a Glance
| Tool | Best for | Best features | Pricing* |
| ClickUp | AI-powered configuration workflows and DevOps project management for teams of all sizes | ClickUp Brain and Super Agents to automate complex infra decisions using context-aware AI | Free plan available; customizations available for enterprises |
| Ansible | Mid-market to enterprise teams seeking agentless automation with simple YAML syntax | Event-Driven Ansible (EDA) for real-time automated responses to service failures | Custom pricing |
| Puppet | Large enterprise teams managing thousands of long-lived servers and continuous compliance | Continuous state enforcement that automatically detects and corrects configuration drift | Free plan available; Custom pricing for commercial use |
| Chef | Mid-market to enterprise development teams needing granular, Ruby-based control | Chef InSpec for defining compliance and security requirements as code | Paid plans start at $59/node annually |
| Terraform | Platform engineering teams provisioning and managing multi-cloud infrastructure | Plan-before-apply workflow to preview cloud architecture changes before execution | Custom pricing |
| SaltStack | Large enterprise operations teams requiring high-speed, event-driven orchestration at scale | ZeroMQ-based event bus for near-instantaneous parallel execution across thousands of nodes | Custom pricing |
| CFEngine | Distributed teams managing lightweight, self-healing infrastructure on edge devices | Autonomous agents that maintain system state even without a central server connection | Custom pricing |
| Docker | Development teams standardizing container image configuration and portability | Layered image architecture that ensures applications run identically across all environments | Free plan available; Paid plans start at $11/user/month |
| Kubernetes | Mid-market to enterprise teams managing declarative container deployments and self-healing | ConfigMaps and Secrets to separate environment-specific settings from container code | Custom pricing |
| Jira Service Management | Mid-market to enterprise ITSM teams tracking configuration items and formal changes | Integrated CMDB to track infrastructure components and their service dependencies | Free plan available; Paid plans start at $7.91/user/month |
Summarize this article for me pleaseWhat to Look For in Configuration Management Tools
Choosing the wrong configuration management tool can lead to analysis paralysis or a costly misstep. You might pick a tool that’s too complex for your team, resulting in low adoption, or one that’s too simple and gets outgrown in six months. The right tool depends entirely on your infrastructure complexity, team expertise, and operational goals.
Beyond basic automation, you need to evaluate how each tool handles your specific environment—whether that’s cloud-native Kubernetes clusters, legacy Windows servers, or network devices. The learning curve matters, too.
To make the right choice, focus on these key evaluation criteria:
- Agentless vs. agent-based architecture: Agentless tools connect to machines using existing protocols like SSH, which simplifies setup. Agent-based tools require installing software on each machine, which allows for more persistent connections and continuous enforcement
- Declarative vs. imperative approach: A declarative tool lets you define the desired end state, and the tool figures out how to achieve it. An imperative tool requires you to write the exact step-by-step commands to execute
- Idempotency: You can run the same configuration multiple times without causing unintended changes and build reliable, automated pipelines
- Scalability and performance: Consider how the tool performs when managing hundreds or thousands of systems at once
- Ecosystem and community: A robust library of pre-built modules and an active community mean you won’t have to write everything from scratch
- Integration with CI/CD pipelines: Modern DevOps workflows require tools that plug directly into platforms like Jenkins, GitLab, or GitHub Actions
- Compliance and audit capabilities: If you’re in a regulated industry, look for tools with built-in reporting, change tracking, and policy enforcement features
📮 ClickUp Insight: 1 in 4 employees uses four or more tools just to build context at work. A key detail might be buried in an email, expanded in a Slack thread, and documented in a separate tool, forcing teams to waste time hunting for information instead of getting work done.
ClickUp converges your entire workflow into one unified platform. With features like ClickUp Email Project Management, ClickUp Chat, ClickUp Docs, and ClickUp Brain, everything stays connected, synced, and instantly accessible. Say goodbye to “work about work” and reclaim your productive time.
💫 Real Results: Teams are able to reclaim 5+ hours every week using ClickUp—that’s over 250 hours annually per person—by eliminating outdated knowledge management processes. Imagine what your team could create with an extra week of productivity every quarter!
Summarize this article for me pleaseTop 10 Configuration Management Tools
Here are our top recommendations for the best configuration management tools:
How we review software at ClickUp
Our editorial team follows a transparent, research-backed, and vendor-neutral process, so you can trust that our recommendations are based on real product value.
Here’s a detailed rundown of how we review software at ClickUp.
1. ClickUp (Best for teams coordinating configuration management workflows and DevOps projects)
Your configuration tool enforces system state. But where do you track the decision behind that change? ClickUp becomes the operational layer around your infrastructure.
It’s a Converged AI Workspace that beats SaaS Sprawl—the process of tracking configuration rollouts in one system, approvals in another, and documentation in a third. Instead, you manage the entire change lifecycle within a single ecosystem.
📌 For example, you don’t need to switch to another tool to see who approved a production configuration update and which systems it affected. ClickUp automatically logs that information in the relevant ClickUp Task, even when you’re not actively monitoring it. The ClickUp Task becomes your single source of truth to monitor all updates around that work item.
ClickUp Automations remove the manual follow-ups that slow down infrastructure work. When a configuration request moves to Approved, automations can notify the deployment team, update related environment tasks, and log the action for audit tracking. Once you define the triggers and actions, the workflow moves forward on its own.
The system also knows about your workspace as well as you do! For example, ClickUp’s connective AI tissue, ClickUp Brain, works on top of your real workspace data.
While reviewing a rollout plan or investigating an incident, you can surface related runbooks or similar tickets without having to search across wikis and chat threads. The AI understands the work because it is embedded within it.
Where ClickUp Super Agents take this a step further is in configuration management scenarios where the next step isn’t predictable upfront.
Unlike rule-based automations, Super Agents can interpret context, make decisions, and act across multiple systems—the way an experienced infra engineer would.
Here’s what that looks like in practice 👇
A configuration change request gets approved. A Super Agent can:
- Review the request details and identify which environments are affected (prod vs. staging, region, service dependencies)
- Cross-check past incidents or similar changes to flag risks (for example, “this parameter caused a rollback last quarter”)
- Automatically update related configuration tasks, attach the right runbook, and prompt the owner with recommended validation steps
- Create or update audit records with a human-readable summary of why the change was made—not just that it happened
All of this happens without you explicitly defining every branch of the workflow.
Because Super Agents run on top of ClickUp Brain’s workspace-wide understanding, they don’t just move tasks forward; they reason about the work. They know which services usually break together, which configs require approvals, and which teams need to be looped in based on historical patterns.
The result? Configuration management becomes adaptive instead of brittle. You’re no longer maintaining dozens of “if-this-then-that” rules for edge cases.
To see the impact of your actions, you can open a ClickUp Dashboard.
It gives you a real-time snapshot of configuration activity across environments. You can see which changes are pending approval, which deployments are in progress, which environments carry the highest risk, and where bottlenecks are forming. All in one unified digital workspace.
💡 Pro Tip: Most configuration drift happens because the why behind a change stays buried in a chat thread while the how is hidden in a terminal, but ClickUp Brain MAX acts as your team’s desktop AI companion to bridge this gap.
You can capture critical infrastructure context during high-pressure outages by using Talk to Text to dictate post-mortems 4x faster than typing.
Plus, by leveraging Enterprise Search, teams reclaim 1.1 days per week by instantly surfacing PR details and variables across all integrated apps, such as GitHub and Google Drive.
This converged approach allows you to replace disconnected transcription and search tools with a single AI super app, reducing overhead costs and ensuring your entire change lifecycle remains visible and secure.
ClickUp best features
- ClickUp Tasks: Turn every configuration change into a structured task with owners, priorities, dependencies, and custom statuses like Proposed → Approved → Deployed
- ClickUp Forms: Capture configuration requests through structured intake forms. Each submission auto-creates a task with the right fields, assignees, and urgency
- ClickUp Calendar: Auto-block time for deployment work based on priority and deadlines. Rollouts, freeze windows, and meetings live in one schedule that adjusts as plans shift
- ClickUp Gantt Charts: Visualize configuration rollouts as timelines with clear dependencies. Move one task, and downstream dates update automatically, so you see the impact before it hits production
ClickUp pros and cons
Pros:
- The unified workspace eliminates context switching between ticketing systems, wikis, and chat tools
- Flexible views like ClickUp Kanban boards, ClickUp Gantt charts, and ClickUp List View adapt to any workflow
- AI-powered search surfaces institutional knowledge across tasks, docs, and comments
Cons:
- The comprehensive feature set can have a learning curve for new teams
- The mobile app has fewer features than the desktop and web versions
ClickUp pricing
free forever
Best for individual users
Free Free
Key Features:
60MB Storage
Unlimited Tasks
Unlimited Free Plan Members
unlimited
Best for small teams
$7 $10
Everything in Free +
Unlimited Storage
Unlimited Folders and Spaces
Unlimited Integrations
business
Best for mid-sized teams
$12 $19
Everything in Unlimited +
Google SSO
Unlimited Message History
Unlimited Mind Maps
enterprise
Best for many large teams
Get a custom demo and see how ClickUp aligns with your goals.
Everything in Business +
White Labeling
Conditional Logic in Forms
Subtasks in Multiple Lists
* Prices when billed annually
The world's most complete work AI, starting at $9 per month
ClickUp Brain is a no Brainer. One AI to manage your work, at a fraction of the cost.
ClickUp ratings and reviews
- G2: 4.7/5 (10,500+ reviews)
- Capterra: 4.6/5 (4,000+ reviews)
What are real-life users saying about ClickUp?
A Capterra user shared their thoughts about ClickUp:
2. Ansible (Best for agentless automation with simple YAML syntax)
Ansible removes the barrier to entry for configuration management by being “agentless.” This means you can start automating server configurations immediately using the SSH connections you already have, without deploying and maintaining extra software across your infrastructure.
Its push model executes tasks on demand, ideal for teams that prefer explicit control over when changes occur.
Ansible best features
- Event-Driven Ansible (EDA): Automate real-time responses using ‘if-this-then-that’ rulebooks to remediate issues like service failures or security drifts without human intervention
- Human-readable YAML playbooks: Configuration files use a straightforward syntax that serves as both automation code and documentation
- Extensive module library: Thousands of modules cover cloud platforms, network devices, and databases, with more available from the Ansible Galaxy community
Ansible pros and cons
Pros:
- Low barrier to entry, as no agents are required for deployment
- Readable configurations improve cross-team collaboration
- Strong community support with thousands of pre-built roles
Cons:
- The push-based model requires an external scheduler for continuous enforcement
- Performance can lag when managing very large numbers of systems
- Complex orchestration may require custom module development
Ansible pricing
- Custom pricing
Ansible ratings and reviews
- G2: 4.6/5 (300+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Ansible?
A G2 user reviewed Ansible:
3. Puppet (Best for enterprise-scale infrastructure with long-lived servers)
If you manage hundreds or thousands of servers, manual fixes are no longer fixes. They become future incidents. Puppet lets you define the exact state each system must maintain and keeps enforcing it.
Its agent runs on every node, checks for drift, and automatically corrects changes. You do not script steps. You declare the end state, and Puppet applies it across different operating systems and starting conditions.
It works best in large, stable environments where ongoing enforcement and centralized control matter more than a lightweight setup.
Puppet best features
- Continuous state enforcement: Puppet agents run periodically to detect and correct configuration drift automatically, ensuring systems stay compliant
- Declarative domain-specific language: Define the end state, and Puppet determines the necessary actions, handling idempotency for you
- Puppet Forge ecosystem: Access thousands of community and officially supported modules to accelerate common configuration tasks
Puppet pros and cons
Pros:
- Excellent for automated drift remediation in compliance-sensitive environments
- Mature enterprise features for large-scale deployments
- Strong support for Windows configuration management
Cons:
- Proprietary language has a steeper learning curve than YAML-based tools
- Agent installation and certificate management add operational overhead
- Agents consume some resources on managed nodes
Puppet pricing
- Core: Free plan (for developers)
- Core: Custom pricing (for commercial)
- Enterprise: Custom pricing
- Advanced: Custom pricing
Puppet ratings and reviews
- G2: 4.2/5 (30+ reviews)
- Capterra: 4.4/5 (20+ reviews)
What are real-life users saying about Puppet?
A Capterra user shared their feedback:
4. Chef (Best for ruby-familiar teams needing granular control)
Chef gives development-minded teams the full power of Ruby for configuration management. This approach treats infrastructure as code that can be tested, versioned, and reviewed just like any other application.
Configurations are written as “recipes” and grouped into “cookbooks.” A Chef Infra Client runs on each managed node, pulling configurations from a central Chef Server and converging the system to its desired state. The platform also includes Chef InSpec for compliance automation, which validates systems against security benchmarks.
Chef best features
- Ruby-based flexibility: The use of a full programming language allows for complex logic and conditionals that simpler tools can’t handle
- Chef InSpec compliance automation: Define compliance requirements as code and continuously validate systems against security benchmarks like CIS or PCI-DSS
- Test-driven infrastructure: Tools like Test Kitchen encourage testing configurations before deployment, reducing production incidents
Chef pros and cons
Pros:
- Highly flexible for complex configuration scenarios
- Integrated compliance scanning streamlines security workflows
- Strong ecosystem for testing infrastructure code
Cons:
- Requires Ruby knowledge, creating a steeper learning curve
- More complex architecture to manage (workstations, servers, clients)
- Smaller community compared to some alternatives
Chef pricing
- Business: $59/per node annually
- Enterprise: $189/per node annually
- Enterprise Plus: Custom pricing
Chef ratings and reviews
- G2: 4.2/5 (100+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Chef?
A G2 user reflected on their experience with Chef:
5. Terraform (Best for multi-cloud infrastructure provisioning)
Who decides when a server should exist, what network it belongs to, and which cloud it runs on? Terraform.
Instead of configuring software inside machines, Terraform defines the infrastructure itself. You write your desired cloud architecture in HCL (HashiCorp Configuration Language), and Terraform compares that definition with the current state. It then generates a plan that shows exactly what it will create, modify, or destroy before you approve the change.
Terraform best features
- Multi-cloud provider support: A single tool can manage resources across AWS, Azure, GCP, and hundreds of other platforms
- Plan-before-apply workflow: The
terraform plancommand provides a preview of changes, preventing accidental deletions or misconfigurations - Module ecosystem: The Terraform Registry hosts reusable modules for common infrastructure patterns, like setting up a VPC or a Kubernetes cluster
Terraform pros and cons
Pros:
- Cloud-agnostic definitions simplify multi-cloud strategies
- Explicit state management enables accurate drift detection
- Strong compatibility with GitOps workflows
Cons:
- State file management requires careful handling to avoid corruption
- Not designed for ongoing configuration of running systems
- HCL has a learning curve for complex expressions
Terraform pricing
- Custom pricing
Terraform ratings and reviews
- G2: 4.7/5 (80+ reviews)
- Capterra: 4.8/5 (40+ reviews)
What are real-life users saying about Terraform?
Here’s what a Capterra user felt using Terraform:
👀 Did You Know? Gartner predicts misconfigured AI will lead to the shutdown of national critical infrastructure in at least one G20 country. This makes the configuration management process a matter of national security.
6. SaltStack (Best for high-speed, event-driven orchestration at scale)
Speed and scale are not optional when you touch a thousand nodes at once. SaltStack, now part of VMware, uses its event-driven architecture and ZeroMQ messaging bus to enable real-time orchestration across nodes, executing commands in seconds.
It offers both declarative configuration management via ‘Salt State’s (written in YAML) and ideal remote execution for running ad-hoc commands. The event reactor system supports sophisticated, self-healing automation; for example, when a service fails, Salt can automatically restart it.
SaltStack best features
- ZeroMQ-based event bus: Orchestrate high-speed, parallel execution across thousands of nodes for near-instantaneous configuration rollouts
- Event-driven automation: The reactor system can monitor for events and trigger automated responses without manual intervention
- Flexible targeting: Target systems using a wide range of criteria, including system properties, custom data, or compound queries
SaltStack pros and cons
Pros:
- Exceptional performance for large-scale environments
- Combines configuration management and remote execution in one tool
- Powerful event system enables reactive, self-healing infrastructure
Cons:
- Steeper learning curve, especially for advanced features
- Smaller community compared to Ansible
- The VMware acquisition has created some uncertainty in the community
SaltStack pricing
- Custom pricing
SaltStack ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
7. CFEngine (Best for lightweight, self-healing infrastructure)
Long before infrastructure as code became the standard, CFEngine was already doing it. It’s an ideal choice for organizations that prioritize minimal resource consumption and autonomous operation. Its lightweight agents can run on everything from embedded systems to mainframes.
CFEngine is built on promise theory. Each agent promises to maintain a defined state and works independently to keep that promise. Even if it loses connection to a central server, it continues to enforce policy and correct drift. That autonomy makes it suitable for distributed systems where constant connectivity is not guaranteed.
CFEngine best features
- Minimal resource footprint: Agents consume very little CPU and memory, making it ideal for resource-constrained devices
- Autonomous self-healing: Agents operate independently, providing resilience in unreliable network environments
- Proven at massive scale: CFEngine has been battle-tested for decades in environments with hundreds of thousands of systems
CFEngine pros and cons
Pros:
- Extremely lightweight and efficient
- True autonomy provides high resilience
- Decades of proven stability and security focus
Cons:
- Smaller community and ecosystem
- Policy language has a steeper learning curve
- Fewer integrations with modern, cloud-native tools
CFEngine pricing
- Custom pricing
CFEngine ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
8. Docker (Best for container image configuration and portability)
What if you stopped configuring servers altogether? Docker lets you package your application and its dependencies into an immutable container image that runs identically everywhere.
Configurations are defined in a Dockerfile and specify the base system, software to install, and commands to run, creating a reproducible environment that eliminates the ‘it works on my machine’ problem.
Docker best features
- Immutable, reproducible environments: Container images capture an exact configuration that runs identically everywhere, preventing drift
- Layered image architecture: Images are built in layers, and Docker caches unchanged layers to make subsequent builds much faster
- Portable configurations: A container image will run on any system with Docker installed, abstracting away host OS differences
Docker pros and cons
Pros:
- Eliminates environment inconsistency between dev, test, and prod
- Fast and efficient builds enable rapid iteration
- Massive ecosystem with millions of pre-built images on Docker Hub
Cons:
- Managing persistent data requires extra planning
- Requires attention to security best practices
- Needs an orchestrator like Kubernetes for production scale
Docker pricing
- Docker Personal: Free
- Docker Pro: $11/per month per user
- Docker Team: $16/per month per user
- Docker Business: $24/per month per user
Docker ratings and reviews
- G2: 4.6/5 (250+ reviews)
- Capterra: 4.6/5 (500+ reviews)
What are real-life users saying about Docker?
A G2 user shared:
9. Kubernetes (Best for container orchestration and declarative deployments)
Kubernetes manages how containers behave once they’re in production. You define the desired state of your application in declarative YAML manifests—how many replicas should run, how they network, where they store data. Kubernetes monitors the cluster and continuously reconciles the actual state with the defined state.
It also separates configuration from the container image using ConfigMaps and Secrets. That lets you reuse the same image across environments while injecting different configuration values at runtime.
Kubernetes best features
- Declarative desired state management: Define your application’s state, and Kubernetes will automatically self-heal to maintain it
- ConfigMaps and Secrets: Externalize configuration from container images, enabling environment-specific settings without rebuilding
- Helm package management: Bundle complex applications and their configurations into reusable “charts” for consistent deployments
Kubernetes pros and cons
Pros:
- Provides self-healing infrastructure that automatically handles failures
- Separates configuration from code, a key best practice
- Strong ecosystem for GitOps and automated deployments
Cons:
- Significant operational complexity and a steep learning curve
- Can be overkill for simple applications
- Requires substantial infrastructure to run effectively
Kubernetes pricing
- Custom pricing
Kubernetes ratings and reviews
- G2: Not enough reviews
- Capterra: 4.6/5 (20+ reviews)
What are real-life users saying about Kubernetes?
A Capterra user shared four benefits of using Kubernetes:
10. Jira Service Management (Best for ITSM teams tracking configuration items and changes)
Configuration management does not stop at servers. It also tracks how systems connect.
Jira Service Management approaches configuration management from an IT Service Management (ITSM) perspective. Its core is a Configuration Management Database (CMDB) that tracks your infrastructure components and, more importantly, the relationships between them.
When an incident occurs, your team can use the CMDB to quickly identify affected services and dependent systems. The platform integrates change management workflows with this configuration tracking. This allows you to assess impact, require approvals, and maintain audit trails for changes—essential for ITIL compliance.
Jira Service Management best features
- Configuration Management Database (CMDB): Track infrastructure components and their relationships to understand service dependencies
- Integrated change management: Build formal approval workflows for configuration changes to meet compliance and risk management needs
- Atlassian ecosystem integration: Connect configuration items directly to Jira issues, Confluence pages, and Bitbucket commits
Jira Service Management pros and cons
Pros:
- A native fit for organizations already following ITIL practices
- Strong relationship mapping helps with impact analysis
- Seamless integration for teams already using the Atlassian suite
Cons:
- It’s a tracking tool, not an automation tool—it doesn’t enforce configurations
- The CMDB must be kept up-to-date manually or via integrations to be useful
- Can lead to vendor lock-in with the Atlassian ecosystem
Jira Service Management pricing
- Free: Up to ten users
- Standard: $7.91/month per user
- Premium: $14.54/month per user
- Enterprise: Custom pricing
Jira Service Management ratings and reviews
- G2: 4.3/5 (7400+ reviews)
- Capterra: 4.4/5 (15250+ reviews)
What are real-life users saying about Jira Service Management?
A Capterra user shared their thoughts:
🧠 Fun Fact: 77% of companies say complexity is actively hurting their growth. In plain English? If your configurations are manual and messy, you are slowing down your entire company’s ability to innovate. Configuration management tools automate these guardrails so you can focus on growth.
Summarize this article for me pleaseChoose the Right Configuration Management Tool for Your Team
You’ve seen the top tools, but the reality is that technical features are only half the battle. Your biggest challenge is managing the chaotic human processes that surround them.
In other words, you can have the most powerful automation engine, but if your change requests, approvals, and documentation are scattered across disconnected tools, you’re still facing a massive productivity drain and operational risk.
This is where a Converged AI Workspace—a single platform where all work apps, data, and workflows live together—becomes essential. The best tool for your team is one that not only handles the technical configuration but also orchestrates the entire change management lifecycle in one place.
Instead of relying on inconsistent servers, you can achieve a consistent, visible, and automated process for managing them. Get started for free with ClickUp to stop letting tool sprawl undermine your automation efforts.
Summarize this article for me pleaseFrequently Asked Questions (FAQs)
What is the difference between configuration management and infrastructure as code?
Configuration management tools focus on maintaining the desired state of existing systems, while infrastructure as code tools focus on provisioning and creating those systems in the first place. Many teams use both together for a complete automation strategy.
How do DevOps teams use configuration management tools in their workflows?
DevOps teams integrate CM tools into their CI/CD pipelines to automate environment provisioning, deploy application configurations, and ensure consistency across all stages of development.
What are the best open-source configuration management tools?
The top open-source options include Ansible, Puppet, Chef, SaltStack, CFEngine, and Terraform. Each offers different trade-offs in terms of ease of use, performance, and community size.
How does automated configuration management prevent configuration drift?
These tools prevent drift by continuously enforcing a desired state, either by periodically checking and correcting systems or by enabling idempotent execution that can be run safely and repeatedly. This ensures that manual changes or failed updates don’t leave systems in an inconsistent state.
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