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Glossary

Rolling Deployment

A rolling deployment is a software deployment strategy that updates components or instances of a system incrementally, one at a time, to ensure continuous availability and minimal downtime. This approach allows the system to remain operational throughout the update process.

What is a rolling deployment?

A rolling deployment is a software deployment strategy used in the field of DevOps and software engineering to update or upgrade a system with minimal downtime and reduced risk of service interruption. This approach involves gradually updating components or instances of a system while still maintaining the availability and functionality of the overall system. Rolling deployments are particularly common in distributed systems where multiple instances of a service are running simultaneously.

Here are some key concepts when implementing a rolling deployment:

Incremental Updates

Rolling deployments update the system incrementally, typically one component or instance at a time, rather than all at once. This allows the system to remain operational throughout the deployment process.

Continuous Availability

By updating components in a staggered manner, rolling deployments ensure that the system remains available to users throughout the deployment process. This helps minimize downtime and service interruptions.

Fault Tolerance

Rolling deployments often incorporate fault-tolerant mechanisms to handle any unexpected issues that may arise during the deployment process. These mechanisms help ensure that the system can recover from failures without impacting overall availability.

Load Balancing

Load balancing is often employed in rolling deployments to distribute incoming traffic across both old and new components of the system. This helps evenly distribute the load and prevent performance issues during the deployment process.

Rollback Capability

In case of any issues or errors encountered during the deployment, rolling deployments usually include rollback capabilities that allow the system to revert to the previous stable state quickly and seamlessly.

Automation

Automation plays a crucial role in rolling deployments, enabling the automated rollout of updates and the management of the deployment process. Automated scripts or tools help streamline the deployment process and reduce the potential for human error.

Here are the benefits of a rolling deployment:

Reduced Downtime

Rolling deployments minimize downtime by updating components gradually, ensuring that the system remains operational throughout the deployment process.

Increased Reliability

By updating one component at a time, rolling deployments reduce the risk of system-wide failures, enhancing the overall reliability of the system.

Improved Scalability

Rolling deployments are well-suited for distributed systems and cloud environments, allowing organizations to scale their infrastructure efficiently while maintaining continuous availability.

Enhanced Flexibility

The incremental nature of rolling deployments provides flexibility to roll back updates quickly if issues arise, enabling organizations to respond to unexpected challenges effectively.

Here are some challenges you may face when implementing a rolling deployment:

Complexity

Implementing rolling deployments requires careful planning and coordination, especially in large-scale distributed systems with numerous components.

Resource Management

Managing resources effectively during the deployment process, such as maintaining sufficient capacity to handle incoming traffic while updating components, can be challenging.

Compatibility Issues

Ensuring compatibility between different versions of components and handling dependencies correctly is essential to avoid compatibility issues that may arise during the deployment process.

Monitoring and Testing

Continuous monitoring and thorough testing are crucial to detect any issues early in the deployment process and ensure a smooth transition without impacting users.

Switch It On With Split

The Split Feature Data Platform™ gives you the confidence to move fast without breaking things. Set up feature flags and safely deploy to production, controlling who sees which features and when. Connect every flag to contextual data, so you can know if your features are making things better or worse and act without hesitation. Effortlessly conduct feature experiments like A/B tests without slowing down. Whether you’re looking to increase your releases, to decrease your MTTR, or to ignite your dev team without burning them out–Split is both a feature management platform and partnership to revolutionize the way the work gets done. Schedule a demo or explore our feature flag solution at your own pace to learn more.

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