Sold by: Honeycomb.io
Deployed on AWS
Honeycomb helps DevOps, SRE, and engineering teams understand and troubleshoot complex relationships within distributed services. See how services are performing, and drill down to issues with individual users without having to correlate and make guesses across different data types.
Overview
Honeycomb is an observability platform for cloud native apps that gives you high-level data regarding how your services are performing, combined with the ability to drill down all the way to the individual user level to troubleshoot issues without having to hop across different data types to piece the data together.
Traditionally, when debugging production incidents with dashboards and metrics, it is difficult to drill down beyond aggregate measures. For example, a graph with error rates can't tell you which exact customers are experiencing the most errors. Logs can show you the raw error data, but it's hard to see the bigger patterns unless you know exactly where to look.
Honeycomb's event-based telemetry model and its powerful query engine make it possible to slice your data across billions of rows and thousands of fields to find hidden patterns. The ability to quickly get results means teams can resolve incidents faster and figure out where to make system optimizations.
Teams using Honeycomb ship faster, have faster MTTR, happier customers and less alert fatigue and burnout.
For custom pricing, EULA, or a private contract, please contact AWS-Marketplace@honeycomb.io for a private offer.
Highlights
- Faster Incident Response. Quickly locate sources of problems across complex applications. Use distributed tracing to find issues buried deeply within your stack.
- Treat Performance Like a Feature. Slow is the new down. Honeycomb is designed to help teams make smart investments in optimizing performance for better user experiences.
- Release Features Faster. Unknown unknowns in production make teams fear deploying. Honeycomb helps you understand production in ways that others simply chalk up as unknowable. With Honeycomb you ship more features faster, with fewer failures.
Details
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Features and programs
Financing for AWS Marketplace purchases
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
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Honeycomb | Honeycomb AWS Marketplace Public Listing | $50,000.00 |
Vendor refund policy
Please contact sales.
Legal
Vendor terms and conditions
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
https://docs.honeycomb.io/ or https://www.honeycomb.io/support/ Contact us here
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Honeycomb.io
By Observe, Inc.
By IBM Software
Top
10
In Log Analysis
Top
10
In Application Performance and UX Monitoring
Top
10
In Observability, Monitoring and Observability
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Distributed Tracing
Advanced event-based telemetry model for tracking and analyzing performance across complex distributed services
Query Engine
Powerful analytical engine capable of processing and slicing data across billions of rows and thousands of fields
Performance Monitoring
Comprehensive observability platform for analyzing service performance and identifying hidden system patterns
Incident Investigation
Detailed troubleshooting capabilities that enable drilling down to individual user-level issues across different data types
Cloud Native Observability
Specialized monitoring platform designed for analyzing and optimizing cloud-based application performance
Data Lake Architecture
Centralized data ingestion into AWS S3 with 10x compression for efficient event data storage
Data Graph Technology
Connected datasets representation enabling rapid context-based investigation across different system components
Multi-Environment Integration
Pre-built library of Data Apps supporting integration with Kubernetes, cloud platforms, and development tools
Event Data Ingestion
Comprehensive data collection capability with over 250 integration points across different systems and platforms
Observability Data Correlation
Automated graph-based correlation of datasets spanning customer interactions, infrastructure logs, and application metrics
Automated Discovery
Auto-discovers application components, traces requests, and maps dependencies across infrastructure and application environments
Performance Monitoring
Provides 1-second granularity performance monitoring with comprehensive request tracing across full-stack environments
Technology Integration
Supports over 300 technologies with seamless integration across Kubernetes containers, micro-services, and cloud environments
Real-time Tracing
Captures 100% of all requests in real-time without sampling, ensuring complete application performance visibility
Intelligent Alerting
Offers SmartAlerts with automated root cause analysis and tailored recommendations for faster issue resolution
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
No security profile
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Standard contract
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Customer reviews
0 ratings
0 AWS reviews
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2 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Diego Gomes De Lima
Easy to use and the dashboard is very intuitive
Reviewed on Aug 29, 2024
Review provided by PeerSpot
What is our primary use case?
The solution is mainly used for stack observability. It observes service behavior or any kind of failure that may be happening. The tool is also related to research. My company is working more on this, but I have been working on my SLOs and defining SLOs for the last seven months.
What is most valuable?
The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing. The solution is very easy to use, and the dashboard is very intuitive.
What needs improvement?
We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemetry.
Alerts are very helpful in Honeycomb.io, but we don't usually merge because we can compare queries with queries for making alerts. We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced.
For how long have I used the solution?
I have been using Honeycomb.io for two years.
What do I think about the stability of the solution?
We’ve never had any issues with the solution’s stability.
What do I think about the scalability of the solution?
Honeycomb.io is a scalable solution. The service is very resilient and can handle a lot of data. The quantity of data Honeycomb.io can parse and use to create charts is really good. More than 100 users are using the solution in our tech team.
I rate the solution’s scalability an eight or nine out of ten.
How was the initial setup?
The solution's initial setup is easy. I think the hardest part is to understand OpenTelemetry in general.
What other advice do I have?
We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failing, which in turn helps with failures and observability.
When we are not thinking about one specific failure but a major one, we can create queries for statistics views like the P99 or P95 behaviors. That's very helpful. I would recommend the solution to other users because it is very helpful.
Overall, I rate the solution a nine out of ten.
Redowan D.
Honeycomb is a great and much cheaper alternative to Datadog
Reviewed on Apr 18, 2024
Review provided by G2
What do you like best about the product?
- It's cheaper than Datadog
- Distributed tracing works fairly well
- The SDKs follow open telemetry conventions
- Distributed tracing works fairly well
- The SDKs follow open telemetry conventions
What do you dislike about the product?
- Support is pretty slow to respond
- The SDKs could be better
- Documentation is undiscoverable
- The SDKs could be better
- Documentation is undiscoverable
What problems is the product solving and how is that benefiting you?
- Distributed tracing
- Measuring database query performance
- Measuring database query performance