CloudThinker Features

Allows administrators to control access to specific containers or datasets.

Separates containers based on their specific network and connections.

Isolates containers based on components of the file systems and their state.

Integrates with a variety of IT systems.

Automatically alerts necessary parties via email, text, or call when issues are identified.

Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution.

Groups containers or applications without altering the container contents.

Defines container connections, balances loads, and organizes routes.

Runs applications through connected clusters.

Provides tools for developers to build software and edit container contents.

Creates integrations and allows management of connected contains.

Integrates data with container contents and applications.

Virtualizes operating systems and nests virtualizations within contained environment.

Utilizes artificial intelligence to analyze big data.

Utilizes machine learning to analyze big data.

Monitors logs and activities from a wide range of IT systems.

Gather metrics to assess the performance of IT infrastructure and network in real-time

Monitoring and measurement of relevant metrics to assess the performance of IT resources

Directly identifies, or increases identification speed for, root causes for IT system issues.

Proactively identifies trends on IT systems that could lead to failures or errors.

Provides paths, suggestions, or other general assistance towards issue resolution.

Directly identifies, or increases identification speed for, root causes for container issues.

Provides paths, suggestions, or other general assistance towards issue resolution.

Proactively identifies trends on container systems that could lead to failures or errors.

Alerts over email, text, phone call, or more to multiple parties.

Provides information related to unnecessary spending and unused resources.

Gives alerts when incidents arise.

Optimizes resource allocation.

Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time.

Sets up standard performance baseline to compare live container activities.

Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Diagnoses and resolves incidents without the need for human interaction.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Allows users to search logs for troubleshooting and open-ended exploration of data.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Allows users to track log trends.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Provides an AI agent that is able to make decisioning independently.

Allows the AI agent to identify and resolve issues without user intervention.

Provides users with automated updates on ticket progress and resolution timelines.

Enables the AI agent to track service level agreements and ensure timely ticket resolution.

Enables the AI agent to classify and prioritize tickets based on issue type and urgency.

Allows the AI agent to route tickets to the appropriate team or individual for resolution.

Allows the AI agent to automatically generate tickets from user inquiries or issues.

Enables the AI agent to retrieve and apply solutions from an IT knowledge base.

Enables the AI agent to automate repetitive IT tasks, such as password resets or software installations.

Allows the AI agent to diagnose and resolve IT issues without human intervention.

Provides users with instant, automated guidance to resolve common IT problems.

Allows the AI agent to identify and address potential IT issues before they escalate.

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

Correlates logs, metrics, traces, and alerts to isolate high-signal issues faster.

Links incidents to recent deployments, commits, configuration changes, or feature flag updates.

Detects abnormal behavior using dynamic baselines, auto-adaptive thresholds, or learned patterns.

Correlates related alerts and suppress duplicates to reduce alert fatigue and focus attention.

Routes incidents to the right responders and enrich on-call actions with service and incident context.

Tracks remaining error budget and burn rate against reliability targets.

Defines service level indicators and objectives for services, user journeys, or business-critical operations.

Model service dependencies and surface health, impact, and reliability status for stakeholders.

Assembles timelines, evidence, and summaries that guide responders through triage and diagnosis.

Captures code-level diagnostics in running systems without redeploying or restarting services.

Identifies likely causes across services and dependencies using topology, causality, or learned relationships.

Validates suspected causes with live runtime evidence instead of static inference alone.

Executes runbooks and multi-step workflows automatically in response to alerts or incidents.

Inserts approvals or decision gates before high-impact remediation steps are executed.

Embed reliability workflows into existing tools through integrations and APIs while enforcing secure access across hybrid or legacy environments.

Generates remediation guidance or code changes from incident context and observed telemetry.

Identify and analyse the reasons behind accidents

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Identify and respond to security threats to developed applications

View and track pertinent metrics to find patterns and gain insights from data

Collect, process and structure data from multiple sources for further analysis

Manage and track all disruptions and incidents

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Proactively detect errors or bugs, delivering actionable and team-oriented suggestions for remediation

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Store, manage, and track all electronic documents in a centralized location

Online portal through which end users can access the system, manage tasks, or obtain information

Completes tasks independently without constant human intervention

View and track pertinent metrics to find patterns and gain insights from data

Maintain security, compliance, and data privacy protocols for all interactions

Process and analyze human language in text or audio form

Embed/link applications into third party software so it can be accessed within a third party system

Define and manage the persona, response style, and functional scope of AI agents to suit different use cases and business processes.

Intuitive interface and user-friendly design which seamlessly integrate with existing workflows

Manage incidents related to outages or breaches in functionality of IT systems

Tickets are automatically assigned to specific agents based on predefined rules

Set and monitor service level agreements to ensure timely response and resolution

Connect to organizational knowledge repositories and databases

Allow customers/users to submit support queries and service requests

Streamlining repetitive tasks and activities through automated and predefined workflows