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Contingency planning is a proactive process that prepares organizations to respond effectively to unexpected events, minimizing potential damage and ensuring continuity of operations. It involves identifying potential risks, developing response strategies, and regularly updating and testing the plan to adapt to new threats or changes in the environment.
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Business continuity is the strategic and logistical planning process that ensures an organization can continue to operate and deliver critical services in the face of disruptions. It involves identifying potential threats, assessing their impact, and implementing measures to mitigate risks and maintain operational resilience.
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System downtime refers to periods when a system is unavailable or unable to perform its primary functions, leading to potential disruptions in operations and financial losses. Effective management and mitigation strategies are crucial to minimize downtime and ensure business continuity.
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Change management is a structured approach to transitioning individuals, teams, and organizations from a current state to a desired future state, minimizing resistance and maximizing engagement. It involves strategic planning, communication, and leadership to ensure successful adoption and sustainability of change initiatives.
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Version control is a system that manages changes to a set of files or codebase over time, allowing multiple users to collaborate efficiently. It enables tracking of revisions, facilitates branching and merging, and provides a historical record of changes, which is crucial for debugging and maintaining project integrity.
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Risk management involves identifying, assessing, and prioritizing risks followed by coordinated efforts to minimize, monitor, and control the probability or impact of unfortunate events. It is essential for ensuring that an organization can achieve its objectives while safeguarding its assets and reputation against potential threats.
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Backup and recovery are critical processes in data management that ensure data integrity and availability in the event of data loss or corruption. Effective strategies involve regular data backups, secure storage solutions, and a well-defined recovery plan to minimize downtime and data loss.
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Disaster recovery is a strategic approach to ensure business continuity and data protection in the event of catastrophic events, involving pre-planned actions to restore systems and operations to normalcy. It encompasses both preventive measures and responsive strategies to minimize downtime and data loss, ensuring organizational resilience.
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Software deployment is the process of making a software application available for use by end users, encompassing all activities from installation to configuration and testing. It ensures that software is delivered efficiently and reliably, often using automation to minimize human intervention and errors.
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Service deployment is the process of making a software application or service available for use, typically involving the transfer of code to a production environment and configuring it to operate as intended. It requires careful planning, testing, and monitoring to ensure the service runs smoothly and securely while meeting user requirements.
Release and Deployment Management is a critical IT service management process that ensures software releases are planned, built, tested, and deployed efficiently and effectively. Its primary goal is to protect the integrity of the live environment while delivering new or changed services required by the business.
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System deployment is the process of making a software system available for use, often involving installation, configuration, and testing in a production environment. It requires careful planning and execution to ensure that the system operates as intended without disrupting existing services or processes.
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Feature flags are a technique in software development that allows developers to enable or disable features in a production environment without deploying new code. They provide a mechanism for continuous delivery, experimentation, and gradual feature rollouts, enhancing agility and reducing risk in software releases.
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Deployment is the process of making a software application available for use by moving it from a development or testing environment to a production environment. It involves several steps including configuration, testing, and monitoring to ensure the application operates as intended in the live environment.
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Model deployment is the process of integrating a machine learning model into a production environment where it can make predictions based on real-world data. This step is crucial for deriving actionable insights and value from the model, ensuring it operates efficiently, securely, and at scale.
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Feature toggles, also known as feature flags, are a software development technique used to enable or disable features in an application without deploying new code. This approach allows for greater flexibility and control in managing features, aiding in smoother rollouts and facilitating continuous integration and delivery.
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Blue-Green Deployment is a strategy for releasing software updates with zero downtime and improved reliability by running two identical environments: one live (blue) and one standby (green). When the new version is verified on the standby environment, traffic is smoothly switched from the blue environment to the green, minimizing risk and ensuring a seamless user experience.
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A canary release is a software deployment strategy that allows developers to release changes to a small subset of users to gauge feedback and detect issues before a full-scale rollout. This approach minimizes risks associated with software changes by closely monitoring the impact on a limited audience and making adjustments as necessary before broader deployment.
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