Highlight is the open source, fullstack monitoring platform. Session replay, error monitoring, logging, and tracing give you complete insights into your applications.
Highlight is building an open source observability distribution that focuses on "cohesion" or connecting the frontend with downstream server-side issues.
The product has seen organic growth in the modern JS ecosystem (NextJS, Remix, etc.) where they have hundreds of startups as customers.
And in enterprise, Highlight serves various companies ranging from healthcare to e-commerce, who choose the product for its open-source core: e.g. easy adoption with specifications like OTEL and a flexible storage/compute architecture.
Highlights
Session Replay: Monitor your frontend with pixel-perfect video replay & comprehensive javascript monitoring.
Error Monitoring: Error and exception monitoring built for modern web apps.
Application Performance Monitoring: Search for and query the logs across your full-stack web app. Understand code execution and latency.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract combines six independent usage dimensions, so you pay for each type of monitoring data you send. You are billed per 1,000 sessions ingested, per 1,000 errors ingested, and per 1,000 metrics ingested. Logs and traces are billed per 1 million ingested. A separate Members dimension charges by the number of user accounts. These dimensions are not tiers; each scales on its own with your actual volume. Your total reflects the sum of the data you ingest plus the seats you provision, giving you control over each category separately.
Top-of-mind questions for buyers
What counts as one session, error, log, trace, or metric for billing?
Each dimension meters ingested data. Sessions are recorded user visits captured through the SDK. Errors are exceptions sent from your client or server. Logs and traces are individual records forwarded from your application. Metrics are measurement data points. You are counted only on volume that reaches the platform.
Which dimension usually drives the largest part of my bill?
It depends on your workload. High-traffic frontends push session and error volume. Backend-heavy apps generate more logs and traces, billed per 1 million ingested. Metrics scale with monitored measurements. Members scale with team size. All six charges apply independently and add up on one invoice.
What happens to my cost if my ingested data volume drops one month?
Each usage dimension scales with actual ingestion, so lower session, error, log, trace, or metric volume reduces those charges. There are no tier steps that lock in higher rates. The Members charge stays tied to the number of user accounts you provision, separate from data volume.
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Vendor refund policy
Pre-paid contracts for any of the products will not be refunded. Usage-based metering will end on the day of contract cancellation, with the remainder of the charges from the current billing period needing to be paid out by the customer.
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Pixel-perfect video replay of frontend user sessions with comprehensive JavaScript monitoring capabilities.
Application Performance Monitoring
Full-stack log search and query functionality with code execution analysis and latency measurement.
OpenTelemetry Compatibility
Support for OpenTelemetry specifications enabling standardized instrumentation and data collection across applications.
Frontend-Backend Correlation
Cohesive observability platform connecting frontend session data with downstream server-side issues and traces.
Full-Fidelity Data Capture
NoSample full fidelity tracing approach that captures and visualizes all telemetry data without sampling, ensuring no anomalies are missed across metrics, traces, and logs.
OpenTelemetry-Based Instrumentation
Single instrumentation with OpenTelemetry standard for unified collection of metrics, traces, and logs in real-time across the entire stack without vendor lock-in.
AI-Driven Anomaly Detection
AI-powered pattern detection that proactively identifies and alerts on issues in seconds to reduce mean time to resolution (MTTR).
Infrastructure and Application Performance Monitoring
Comprehensive monitoring capabilities including infrastructure monitoring with hundreds of out-of-the-box integrations, synthetic monitoring with filmstrips and screen recordings, APM with code profiling, and real user monitoring with frontend-to-backend trace correlation.
Scalable Multi-Environment Support
Support for on-premises, hybrid, and multicloud environments with capability to handle petabytes of ingest per day across multiple cloud environments integrated into a single system.
User Interaction Visualization
Heatmaps and journey mapping capabilities that display user clicks, hovers, scrolls, and content element performance metrics including attractiveness, engagement, click rate, and conversion.
Session Replay and Recording
Ability to replay individual user sessions with mouse movements, clicks, taps, and swipes to identify pain points and validate user experience hypotheses.
Customer Journey Analysis
Tracking and visualization of complete customer journeys from entry to exit across digital touchpoints to identify opportunities, frustrations, and audience segment-specific patterns.
Business Impact Measurement
Quantification of user experience impact on key business metrics including conversion rate, revenue, site and app performance, and overall user experience outcomes.
AI-Powered Analytics Platform
Scalable and flexible artificial intelligence-powered platform designed to provide deep understanding of complete online customer journeys and digital experience insights.
Streamlined research has improved insights while deeper data access still needs to surface
Reviewed on Sep 10, 2026
Review from a verified AWS customer
What is our primary use case?
Highlight helps streamline the research process effortlessly for my organization. Highlight is the product intelligence platform that enables Lightsource to create products that our customers will love, and it is powered by our community and helps us with logistics and expert research. Highlight delivers high-impact insights with unmatched quality across every stage of the product.
What is most valuable?
Highlight offers streamlined integrations from all my teams, helping the early ideation process all the way to prototypes and in-market renovation.
The most valuable feature for my team is that Highlight is staffed by genuine people, making us feel that our projects are the number one priority.
Highlight positively impacts my organization by allowing us to have a dashboard that makes it fun and interactive to get a sneak peek into the data around our product, giving us a heads-up before the final report comes out.
What needs improvement?
Highlight feels foolproof, but I believe the information that could provide better insights is hidden behind the easy-to-use user interface. Bringing some deeper data to the forefront would help.
For how long have I used the solution?
I have been using Highlight for two years.
What was our ROI?
Using Highlight allowed us to save about ten percent in project management expenses in terms of hours spent on gathering information.
What other advice do I have?
Regarding Highlight's AI capabilities, I believe it is governed well and it is secure, with no questions or concerns about that. Highlight's AI capabilities are accurate and reliable in terms of accuracy and reliability of output. If you are a small-scale operator considering using Highlight, you might want to look at some cheaper options. I rate Highlight a six out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?