Gearset DevOps Features

The ability to store large amounts of data or scale capacity to fit storage needs.

Provides remote access dashboards designed to manage and store data from familiar applications.

Keeps track of incrementally changing versions of the same content, data, and files.

Maintain, or facilitate maintenance of, tested and approved code in a deployment-ready state for manual pushes to production.

Integrate with other development and testing software, such as continuous integration or test automation tools.

Plug-in capable for added resources, features, and functions within the product itself.

Provide failover and recovery capabilities for on premises data and systems.

Provide failover and recovery capabilities for cloud data and systems.

Recover systems and infrastructure to a like state as before failure.

Provide both manual and automatic recovery capabilities.

Replicate data and infrastructure in real time on a separate system for immediate, seamless failover.

Successfully and thoroughly automates CI/CD processes.

Allows for additional features and functionalities in the form of pre-packaged integrations and plug-ins.

Integrates with other development and testing software, such as continuous delivery or test automation tools.

Plug-in capable for added resources, features, and functions within the product itself.

Enables full control over test types and parameter definitions for effective automated testing.

The ability to back up different devices such as computers

Backup support for multiple, different software as a service (SaaS) applications

The ability to store multiple types of file formats or convert files to proper format.

Gives users the abilitity to access or send backup files stored online.

The ability to set standards for asset and risk management.

Provides some level of encryption of data in transit and sensitive data while it lives online.

Designate the necessary tasks and workflows for a team's unique development cycle.

Generate visual dashboards and reports around development cycle progress.

Automate repository detection, version control, testing, and more.

Allow businesses to locally manage what, how, and where data and systems are restored.

Be compatible with a variety of on premise, cloud, and/or virtual infrastructure.

Integrate with other management, resilience, and backup solutions.

Track data and system backups, replication, and failover events.

Specify recovery time objectives (RTOs) and recovery point objectives (RPOs), and track how those objectives are met.

Grants users control over application updates, versions, and alterations.

Allows administrators to control access to updates, releases and changes.

Helps develop processes for reliable automated releases.

Fully automates repetitive or tediuos tasks to ease developer workload.

Designates the necessary tasks and workflows for a team's unique development cycle.

Generates visual dashboards and reports around development cycle progress.

Track issues as vulnerabilities are discovered. Documents activity throughout the resolution process.

The rate at which scans accurately detect all vulnerabilities associated with the target.

The rate at which scans falsely indicate detection of a vulnerability when no vulnerabilitiy legitimately exists.

Runs pre-scripted vulnerability scans without requiring manual work.

Allows users to scan applications and networks for specific compliance requirements.

Analyzes network devices, servers and operating systems for vulnerabilities.

Monitors configuration rule sets and policy enforcement measures and document changes to maintain compliance.

Allows users to perfrom hands-on live simulations and penetration tests.

Scans application source code for security flaws without executing it.

Scans functional applications externally for vulnerabilities like SQL injection or XSS.

Grants control and organization for infrastructure and release processes.

Allows users to easily map their and examine pipelines.

Automates releases of the application for access on desktop, web, or or mobile devices.

Provides developers with actionable insight after running tests.

Maintains a thorough history of test logs for future reference and analysis.

Grants developers granular control to define tests and test parameters.

Allows developers to automate a wide variety of test types according to need.

Automatically assigns relevant followup tasks and notifies appropriate team members of status after testing.

Runs tests automatically and reliably according to the parameters and frequency defined.

Tests completely and thoroughly to minimize developer workload.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Facilitates seamless escalation to human employees for complex issues.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Ingests and processes multiple telemetry types, such as logs, metrics, and traces.

Supports ingestion and standardization of observability data via OpenTelemetry protocol.

Displays relationships between services to visualize system dependencies.

Provides a consolidated view of system-wide telemetry in a single dashboard.

Allows users to explore and visualize distributed traces and span relationships.

Correlates logs, metrics, and traces to surface performance patterns and root causes.

Identifies likely causes of issues using system insights and correlation logic.

Automatically alerts users to anomalies or critical events using contextual data.

Provides observability into containerized workloads and Kubernetes clusters.

Enables observability across public cloud, private cloud, and on-prem environments.

Forecasts future system issues based on historical performance trends.

Summarizes incident root causes and potential fixes using generative AI.

Uses machine learning to detect unusual behavior across telemetry data.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Effectively creates tests by recording or analyzing user interface interactions.

Accurately translates plain-language descriptions into functional tests.

Provides AI-driven recommendations for improving test coverage.

Tests effectively self-heal to adapt to changes in the application.

Identifies application elements even after their properties change.

Reduces the time and effort required to maintain existing test suites via AI.

Provides insightful dashboards and reports for understanding test results and overall application quality.

AI accurately identifies unintended visual changes or bugs in the user interface.

Analysis clearly pinpoints the root cause of test failures.