2663 terms covering AIOps, DevOps, MLOps, FinOps, observability and cloud-native operations.
Written by AI. Published under human oversight.
Agent-Based Automation
Automation involving software agents that autonomously perform specific tasks or functions within a system. These agents can monitor environments, react to changes, and execute pre-defined actions without human oversight.
AI-Powered Automation
Automation that leverages artificial intelligence technologies to enhance decision-making processes and execute complex tasks autonomously. This includes incorporating machine learning and natural language processing into automated systems.
AI Workflow Automation
A systematic approach to leveraging artificial intelligence technologies to automate repetitive tasks and workflows, enhancing efficiency and reducing human intervention in IT operations.
Alerting Automation
The use of systems and tools that automatically notify relevant stakeholders of events or anomalies within a monitored environment, reducing manual oversight and ensuring quicker reactions to incidents. This process can include automated messaging and integrations with communication platforms.
Amazon Alexa for Business
A managed service that uses Amazon Alexa's capabilities to automate workplace tasks and provide assistance in business operations through voice commands.
Anomaly Detection Automation
Automated processes that identify deviations from normal behavior in systems, applications, or networks, allowing for quicker detection of potential issues or threats. This technology enhances security and operational reliability by continuously monitoring operational metrics.
API Automation
Automating the interaction with application programming interfaces (APIs) to streamline the exchange of data and commands between different software applications. This enables seamless integration and communication, enhancing system interoperability.
API-Driven Automation
Automation that leverages application programming interfaces to integrate and control disparate systems. It enables scalable and programmatic execution of operational tasks.
API-First Automation
API-first automation leverages standardized APIs to integrate and automate workflows across disparate systems. It promotes modularity, scalability, and interoperability in complex IT ecosystems.
Augmented Automation
The merging of human intelligence with automation technologies to enhance processes, enabling more informed decision-making and complex task execution.
Automated Capacity Management
The use of automated tools to monitor and manage system capacity, responding dynamically to changes in demand. This ensures optimal resource usage and performance across IT infrastructure.
Automated Change Orchestration
Automated change orchestration coordinates the execution, validation, and rollback of IT changes through predefined workflows. It reduces human error and ensures compliance with change management policies.
Automated Change Validation
The use of automated testing and policy checks to verify infrastructure or application changes before deployment. It reduces risk by ensuring compliance and performance standards are met.
Automated Compliance Enforcement
Automated compliance enforcement continuously checks systems against regulatory and internal policy requirements. Non-compliant configurations trigger alerts or corrective actions without manual audits.
Automated Compliance Monitoring
Utilizing automated tools and processes to continuously check and enforce compliance with organizational policies and regulations. This approach minimizes risks and ensures adherence to legal requirements.
Automated Dependency Resolution
Automated dependency resolution identifies and manages service or application dependencies during deployments and updates. It ensures that prerequisite components are provisioned and configured correctly.
Automated Deployment
The process of using tools and scripts to automatically install and configure software applications across servers or cloud environments. Automated deployment ensures consistency, speed, and reduced risk during software releases.
Automated Documentation
The use of tools and processes to automatically generate and manage documentation related to systems, processes, or projects. This ensures that documentation remains up-to-date, accurate, and accessible to stakeholders.
Automated Incident Response
A process that utilizes automation to manage and resolve IT incidents quickly and efficiently, reducing downtime and minimizing the impact on the organization. This often includes automated alerts and predefined response actions.
Automated Patch Management
The systematic deployment of software updates and security patches through automated workflows. It reduces vulnerabilities while maintaining system stability through controlled rollouts.
Automated Patch Orchestration
A coordinated automation process for scheduling, deploying, and validating patches across distributed systems. It minimizes downtime and ensures compliance with security policies.
Automated Provisioning
The use of scripts and workflows to automatically deploy and configure compute, storage, and network resources. It accelerates environment setup while minimizing manual errors.
Automated Root Cause Isolation
Automated root cause isolation uses predefined logic or algorithms to identify the most probable source of operational issues. It accelerates remediation by narrowing investigation scope.
Automated Service Discovery
The automatic identification and registration of services within an IT environment. It supports dynamic infrastructure management and orchestration workflows.
Automated Testing
The use of specialized software tools to execute pre-scripted tests on a software application before it is released into production, ensuring quality and performance.
Automated Workflows
Predefined sets of processes that are executed automatically in response to specific triggers, enabling seamless task execution and project management without manual intervention. Automated workflows enhance efficiency and consistency in operations.
Automation Control Plane
A centralized management layer that governs the execution, monitoring, and policy enforcement of automation workflows. It provides visibility and coordination across distributed systems.
Automation Framework
A structured set of tools, standards, and best practices that guide the automation of processes, making it easier to design, maintain, and scale automated solutions.
Automation Lifecycle Management
A structured approach to managing the entire lifecycle of automated processes, from initial planning and design through development, deployment, monitoring, and continuous improvement. This ensures that automation efforts align with organizational goals and evolve with changing needs.
Automation Orchestration
A structured approach to coordinating automated tasks across multiple systems or workflows, ensuring seamless interaction and data flow between them. It enables complex processes to be executed as a single integrated operation.
Automation Testing Framework
A set of guidelines, tools, and best practices used to automate the testing of software applications, enabling testing teams to increase effectiveness and reduce manual efforts in validating functionality and performance.
Autonomous Operations Framework
A comprehensive architecture that combines monitoring, analytics, decision logic, and automation to enable self-managing IT environments. It aims to minimize human intervention in routine operations.
Autonomous Operations Platform
A platform that integrates AI, orchestration, and policy engines to execute operational decisions automatically. It minimizes human intervention in routine IT management tasks.
Autonomous Patch Management
Autonomous patch management automates the identification, testing, scheduling, and deployment of software patches. It minimizes vulnerabilities while reducing manual coordination efforts.
Autonomous Provisioning
Autonomous provisioning uses intelligent automation to allocate and configure infrastructure resources based on operational context and demand patterns. It reduces provisioning delays and minimizes human intervention.
Auto-Remediation Playbooks
Predefined automated workflows that execute corrective actions when specific incidents or alerts occur. They standardize recovery steps and reduce mean time to resolution (MTTR).
Auto-Scaling Policies
Auto-scaling policies define automated rules for increasing or decreasing infrastructure resources based on workload metrics. They help maintain application performance while controlling operational costs.
Auto-Scaling Policy Engine
An auto-scaling policy engine automatically adjusts resource capacity based on performance metrics or workload thresholds. It ensures application resilience and cost efficiency in dynamic environments.
Behavior-Driven Automation
An approach to automation that uses user behaviors and patterns to drive intelligent automation processes, optimizing resource allocation and action responses.
Blue-Green Deployment Automation
Blue-green deployment automation manages two parallel production environments to enable seamless releases. Traffic is switched automatically between environments, minimizing downtime and rollback complexity.
Canary Deployment Automation
Canary deployment automation gradually releases software updates to a small subset of users or systems before broader rollout. Automated monitoring and rollback mechanisms help reduce deployment risk.
Canary Release Automation
Canary release automation gradually deploys changes to a subset of users or systems before full rollout. Automated monitoring evaluates impact and can halt or expand deployment based on predefined criteria.
Change Automation Framework
A structured system that automates change requests, approvals, testing, and deployment processes. It reduces manual risk while maintaining governance and auditability.
ChatOps Automation
The practice of integrating chat platforms with operational tools to facilitate real-time collaboration and automation of IT tasks and workflows. ChatOps enhances communication and accelerates incident resolution processes.
Cloud Automation
The process of automating the deployment, management, and scaling of cloud resources and services, helping to enhance agility and efficiency in cloud operations.
Configuration Drift Remediation
Configuration drift remediation refers to the automated detection and correction of deviations between actual system configurations and their desired state definitions. It ensures consistency, compliance, and operational stability across environments.
Configuration Management Automation
The use of automated tools to manage system configurations, ensuring servers and devices maintain a desired state throughout their lifecycle. This reduces compliance risks and simplifies system management.
Contextual Automation
Automation that leverages contextual information to make intelligent decisions and adapt actions in real-time. This enables systems to respond to varying operational conditions and user interactions effectively.
Continuous Compliance Monitoring
An automated process that continuously scans systems for policy, regulatory, or security violations. It provides real-time alerts and remediation recommendations.
Continuous Configuration Automation
An approach to automatically configure and maintain systems across various environments, ensuring that configurations remain consistent and compliant over time. This method leverages automated tools to enforce desired configurations continuously.
Continuous Delivery Automation
The practice of automating software delivery processes to facilitate frequent, reliable releases. This approach integrates automated testing, deployment, and monitoring to improve software quality and deployment speed.
Continuous Deployment Automation
The automated release of validated code changes into production environments without manual approval steps. It relies on robust testing and monitoring to maintain reliability.
Continuous Integration Automation
Automating the integration of code changes from multiple contributors into a shared repository to enable frequent software updates. This practice improves collaboration and early detection of integration issues.
Continuous Monitoring
An automated approach to continuously monitor systems and applications for performance, security, and compliance, allowing for real-time insights and immediate responses.
Declarative Automation
Declarative automation defines the intended end state of systems rather than specifying procedural execution steps. Automation tools determine how to achieve and maintain the declared configuration.
Declarative Automation Model
A declarative automation model defines the desired end state of systems rather than the procedural steps to achieve it. Automation tools interpret these declarations and enforce the specified configuration.
Deployment Automation
The process of automating the release and deployment of applications or services to various environments, ensuring consistency and reducing the chances of human error during deployment.
Desired State Configuration (DSC)
Desired State Configuration is an automation approach that defines the intended configuration of systems and continuously enforces compliance. It ensures that infrastructure remains aligned with declared standards.
Desired State Management
Desired state management automates infrastructure configuration by continuously enforcing a predefined target state. Tools compare actual system conditions against expected configurations and apply corrective actions when deviations occur.
DevOps Automation
The integration of automation into DevOps practices to streamline development, testing, and deployment processes. This encompasses tools and methodologies that enhance collaboration between development and operations teams.
Dynamic Resource Allocation
An automation capability that adjusts the allocation of resources in real-time based on demand and usage, optimizing performance and resource utilization.
Dynamic Resource Provisioning
Dynamic resource provisioning automatically allocates or deallocates compute, storage, and network resources based on workload demand. It improves resource utilization and supports scalable cloud operations.
Dynamic Resource Scaling
An automated capability that adjusts compute, storage, or network resources based on real-time demand. It optimizes performance and cost efficiency in cloud environments.
Dynamic Resource Scheduling
Dynamic resource scheduling automatically allocates compute, storage, or network resources based on workload demands. It optimizes performance and cost through real-time policy-driven adjustments.
Edge Automation
The practice of deploying automation solutions at the edge of the network, closer to data sources, to enhance responsiveness and reduce latency in IT operations.
Elastic Workload Automation
Elastic workload automation dynamically adjusts job scheduling and resource assignments based on workload fluctuations. It enhances operational efficiency in hybrid and cloud-native environments.
End-to-End Automation
A comprehensive approach to automating all stages of a process from start to finish, eliminating manual interventions and ensuring seamless task execution. This strategy aims to improve productivity and reduce cycle times across various operational domains.
Event-Driven Automation
An automation paradigm where systems execute actions in response to specific events or changes in data. This model enables dynamic responses to system conditions, improving resource utilization and responsiveness.
Event-Triggered Remediation
An automation technique where specific alerts or anomalies automatically initiate corrective workflows. It shortens response times and standardizes issue resolution.
Feedback-Driven Automation
Feedback-driven automation continuously refines automated actions based on performance metrics and outcome analysis. It improves accuracy and effectiveness by incorporating operational feedback loops.
Feedback Loop Automation
Automating the collection and integration of feedback from users, systems, or processes into ongoing operational functions to refine actions and improve system performance continuously. This is crucial for adaptive decision-making.
GitOps for Operations
GitOps for operations uses Git repositories as the single source of truth for infrastructure and operational workflows. Automated agents reconcile the live environment with the declared configurations stored in version control.
Hyperautomation
An approach that integrates advanced technologies like AI, RPA, and machine learning to automate as many business processes as possible. Hyperautomation aims to optimize efficiency and reduce human involvement significantly.
Infrastructure Drift Detection
Infrastructure drift detection automatically identifies deviations between deployed infrastructure and its declared configuration. It supports governance and prevents unauthorized changes from persisting.
Infrastructure Drift Monitoring
Infrastructure drift monitoring tracks deviations between deployed infrastructure and approved configurations over time. Automated detection helps prevent outages, compliance violations, and inconsistent environments.
Infrastructure Orchestration as Code
A methodology that defines complex orchestration workflows in declarative code formats. It enables version-controlled, repeatable automation across hybrid and multi-cloud environments.
Infrastructure Orchestration Engine
An infrastructure orchestration engine automates the coordination of compute, network, storage, and application resources. It manages dependencies and execution logic across complex infrastructure workflows.
Infrastructure Pipeline Automation
The use of CI/CD pipelines to automate infrastructure build, test, and deployment processes. It applies software delivery principles to infrastructure management.
Infrastructure Provisioning Pipeline
An infrastructure provisioning pipeline automates the validation, testing, and deployment of infrastructure code. It ensures consistent, repeatable infrastructure builds across development and production environments.
Integration Platform as a Service (iPaaS)
A cloud-based service that facilitates the integration of applications and data across different systems and environments through automation.
Intelligent Automation
Combines automation technologies such as RPA with artificial intelligence and machine learning to automate more complex tasks that involve decision-making and pattern recognition. This enables organizations to achieve higher efficiency and improved process outcomes.
Intelligent Task Scheduling
An automation capability that prioritizes and schedules tasks based on workload patterns, dependencies, and business impact. It optimizes execution efficiency across systems.
Intelligent Ticket Routing
Intelligent ticket routing automatically assigns support or operational tickets based on predefined rules, context, or machine learning models. It improves response efficiency and reduces manual triage workload.
Intent-Based Automation
An advanced automation model where operators define desired outcomes rather than explicit procedures. The system interprets intent and executes the necessary actions to achieve the specified state.
Low-Code Automation
A development approach that enables users to build automation workflows with minimal hand-coding, often through visual interfaces. This empowers non-technical users to automate processes without needing extensive programming knowledge.
Machine Learning Automation
The use of automated tools and techniques to streamline the development, training, and deployment of machine learning models. This enables quicker experimentation and scaling of ML initiatives while reducing operational complexity.
Macro Automation
Automation of complex tasks or multiple actions through recorded macros that can be replayed to execute a sequence of commands. This simplifies repetitive tasks across applications and systems.
Multimodal Automation
An advanced automation strategy that combines different types of automation technologies, such as RPA and AI, to create more robust and versatile automation solutions.
Operational Task Automation
The automation of routine operational tasks such as monitoring, reporting, and maintenance. This enables IT teams to allocate resources more effectively by freeing them from repetitive activities.
Orchestration Engine
A software component that coordinates and sequences multiple automated tasks across systems and tools. It ensures complex workflows execute in the correct order with dependency management.
Pipeline as Code
Pipeline as Code defines CI/CD and operational workflows using declarative configuration files stored in version control. It standardizes automation processes and improves traceability.
Policy-Based Automation
Automation driven by predefined policies that define rules and guidelines for system behavior and task execution. This ensures adherence to compliance and operational best practices across automated processes.
Predictive Automation
Automation methodologies that leverage predictive analytics to anticipate IT issues before they occur, enabling preemptive actions and reducing incident response times.
Process Mining
A technique used to analyze business processes based on event logs to identify inefficiencies and opportunities for automation. This data-driven approach facilitates continuous improvement in operational workflows.
Remediation Playbook Automation
Remediation playbook automation executes predefined corrective procedures automatically in response to operational incidents or policy violations. It standardizes incident response and reduces recovery times.
Resource Provisioning Automation
Automated techniques for allocating and managing resources within IT environments, ensuring that systems and applications have the necessary resources to operate efficiently. This reduces manual effort and improves resource utilization.
Robotic Process Automation (RPA)
A technology that uses software robots or 'bots' to automate repetitive tasks traditionally performed by humans. RPA enhances efficiency by reducing errors and increasing speed in business processes.
Robotic Process Automation (RPA) for IT Operations
RPA for IT operations uses software bots to automate repetitive, rule-based administrative tasks such as ticket updates or data entry. It enhances efficiency without requiring deep system integrations.
Robotic Process Automation (RPA) for IT Ops
The use of software bots to automate repetitive, rule-based IT operational tasks such as ticket updates or report generation. RPA integrates with existing systems without deep API-level changes.
RPA (Robotic Process Automation)
A technology that uses software robots or 'bots' to automate highly repetitive and routine tasks normally performed by a human interacting with digital systems.