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By Checkly
How would you rate your experience with Checkly?
Baseline
As reported in 15 Checkly reviews.
Sets and allows adjustment of website baseline functionality and configuration.
Alerting
This feature was mentioned in 15 Checkly reviews.
Generates alerts for whenever a website goes down, experiences an error, makes a major change, or other events.
Multi-Site Monitoring
Monitor multiple websites at once, organizing them with dashboards.
Reporting
15 reviewers of Checkly have provided feedback on this feature.
Generate reports manually or automatically about website performance.
Multi-Channel Alerting
Alert over email, text, phone call, and more to multiple parties.
Location Insights
Based on 15 Checkly reviews.
Isolate geographic locations where website functionality is best and worst.
Diverse Systems Monitoring
Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks.
Real-Time Analytics
Generate real-time high-level and/or in-depth analytics regarding monitored systems activity.
Observability
Generate insights into IT systems utilizing event metrics, logging, traces, and metadata.
AI/ML Integration
Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.
Single Pane of Glass
Consolidate IT systems monitoring overviews to a single pane for quick insights.
Dashboards and Visualization
Offer pre-built and custom reporting and dashboards for quick insights into system states.
Performance Baselines
Set expected baselines for system functions.
Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.
AI Text Generation
Allows users to generate text based on a text prompt.
Multi-Telemetry Ingestion
Ingests and processes multiple telemetry types, such as logs, metrics, and traces.
OpenTelemetry Support
Supports ingestion and standardization of observability data via OpenTelemetry protocol.
Service Dependency Mapping
Displays relationships between services to visualize system dependencies.
Unified Dashboard
Provides a consolidated view of system-wide telemetry in a single dashboard.
Trace Visualization
Allows users to explore and visualize distributed traces and span relationships.
Cross-Telemetry Correlation
Correlates logs, metrics, and traces to surface performance patterns and root causes.
Root Cause Detection
Identifies likely causes of issues using system insights and correlation logic.
Intelligent Alerting
Automatically alerts users to anomalies or critical events using contextual data.
Kubernetes Monitoring
Provides observability into containerized workloads and Kubernetes clusters.
Hybrid/Multi-Cloud Support
Enables observability across public cloud, private cloud, and on-prem environments.
Predictive Insights
Forecasts future system issues based on historical performance trends.
AI-Generated Incident Summaries
Summarizes incident root causes and potential fixes using generative AI.
AI Anomaly Detection
Uses machine learning to detect unusual behavior across telemetry data.
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
