Sold by: Gremlin
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Downtime is expensive and can hurt your brand. Gremlin provides engineers with the framework to safely, securely, and easily simulate real outages through the practice of Reliability Engineering. As organizations build more and more cloud-native systems, it's critical for these organizations to be able to fully understand and provide data points on what will happen to their systems if they experience any sort of degradation. This may include situations such as a spike in CPU, added latency on a service, a service being completely unreachable or other situations that result in a poor user experience or unplanned outage.
4.1
Overview
Gremlin's Reliability Management Platform builds upon the practice of Chaos Engineering. By giving teams a more guided and product-led way to achieve reliability goals, Gremlin's Reliability Management Platform let's you easily define services, integrate them to your Golden Signals in your APM tool, run a series of Reliability Tests, and receive a Reliability Score for your defined service. These efforts help groups approach their reliability efforts in a safe, secure, scalable and standardized way.
Highlights
- Use Reliability Engineering to proactively get ahead of any infrastructure related issues in your environment
- Use Reliability Scoring to get a comprehensive view of where your services rank from a reliability perspective
- Don't let velocity conflict with reliability. Build a regression set of Reliability tests to understand how changes to your applications and infrastructure impact your underlying microservices and infrastructure
Details
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Dimension | Description | Cost/12 months |
|---|---|---|
Reliability Management: 50 Agents | Reliability Management Platform - Unlimited Reliability Testing & Scoring, Fault Injection, Failure Flags - 50 Agents | $45,000.00 |
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No refunds.
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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
Email support is offered during 8am - 8pm PST, Monday - Friday. support@gremlin.com or by Zendesk widget in App
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Updated weekly
By Gremlin
By Nobl9
By BMC Software Distribution B.V.
Top
25
In Testing, Network Infrastructure
Top
50
In Compliance and Auditing, Monitoring and Observability
Top
10
In Hybrid Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Chaos Engineering Framework
Simulates real outages and infrastructure degradation scenarios including CPU spikes, service latency, and complete service unavailability to test system resilience.
Reliability Scoring System
Generates comprehensive reliability scores for defined services based on integration with Golden Signals from APM tools to assess service reliability rankings.
Guided Reliability Testing
Provides a product-led approach to define services, integrate monitoring data, and execute a series of structured reliability tests in a standardized manner.
Regression Test Suite
Enables creation of regression test sets to measure and understand the impact of application and infrastructure changes on microservices and underlying systems.
Proactive Issue Detection
Identifies and helps prevent infrastructure-related issues before they occur through systematic reliability engineering practices and testing.
Service Level Objective Management
Defines and monitors customer-centric Service Level Objectives (SLOs) with flexible Error Budgets, Occurrences, and Time-slices configurations
Multi-Source Data Integration
Connects to existing observability and monitoring data sources through a library of integrations without requiring additional tooling
SLO Analysis and Reporting
Provides SLI Analyzer for defining SLOs based on historical metrics, intuitive reliability burndown reports, and composite SLOs that aggregate multiple individual SLOs
Automated Alerting and Incident Response
Triggers proactive automated alerts to existing incident response tools and executes customizable webhooks with runbooks based on SLOs-at-risk conditions
SLO-as-Code and Extended Features
Supports SLOs-as-code, OpenSLO compatibility, sloctl command-line tool, annotations for context, and replay functionality for historical analysis
Automated Service Discovery and Modeling
Lightweight, agentless, and scalable discovery of IT infrastructure, applications, and software components with automatic identification of dependencies and relationships across the IT landscape.
AI-Powered Root Cause Analysis
Causal AI technology to determine root causes and isolate issues across services, reducing mean time to resolution and eliminating manual war room investigations.
Machine Learning-Based Event Correlation
ML-powered situations for proactively correlating events and determining root causes across services with human-readable summaries and visual diagrams showing impact and diagnosis.
Predictive Capacity Planning
Saturation forecasting to predict up to 30 days in advance when infrastructure and application resources will run out of capacity, with what-if simulation capabilities for business event planning.
Generative AI-Powered Remediation Recommendations
Patented Best Action Recommendation engine powered by generative AI that recommends resolution steps based on similar past incidents and delivers code templates including Ansible runbooks and Bash scripts for automated remediation.
Standard contract
No
No
Customer reviews
reviewer2783910
Platform has improved reliability metrics but still raises questions about overall value
Reviewed on Dec 03, 2025
Review from a verified AWS customer
What is our primary use case?
The Enterprise Reliability Platform serves as my main use case for the next question.
A quick specific example of how I use The Enterprise Reliability Platform to maintain reliability and efficiency is that we have our own internal system to track and maintain the reliability and efficiency.
What is most valuable?
The Enterprise Reliability Platform has positively impacted my organization as it has significantly increased the efficiency and reliability of our systems.
I measured that increase in efficiency, and I can share that the metrics I noticed include latency and the SLOs, error budget, and not burning through the error budgets.
What needs improvement?
I have no recommendations for how The Enterprise Reliability Platform can be improved.
For how long have I used the solution?
I have been using The Enterprise Reliability Platform for one year.
What other advice do I have?
I have no answer regarding the best features The Enterprise Reliability Platform offers.
I would provide no advice to others looking into using The Enterprise Reliability Platform.
My company does not have a business relationship with this vendor other than being a customer.
I was not offered a gift card or incentive for this review.
I do not have any additional thoughts about The Enterprise Reliability Platform before we wrap up.
I gave this review a rating of 6.
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?
Computer Software
Feature-full graph traversal language
Reviewed on Mar 09, 2022
Review provided by G2
What do you like best about the product?
Gremlin is quite easy to learn and use. I like that it supports both graph traversals and graph pattern matching (aka declarative traversals). In many cases, I would prefer the Gremlin syntax to the SPARQL syntax.
What do you dislike about the product?
I would be interested to see inferencing support (materialized on not) in the future. Mixing features like declarative and non-declarative traversals could be a bit cumbersome.
What problems is the product solving and how is that benefiting you?
There are many use cases where the property graph data model and graph traversals with Gremlin can be very useful. I used Gremlin to solve problems related to fraud detection, real-time recommendations and customer 360.
Pranav S.
Gremlin is one of the few good Chaos Engineering Provider with continuous improvements
Reviewed on Feb 16, 2022
Review provided by G2
What do you like best about the product?
Support for Chaos Engineering on Cloud Platforms for testing weak points in infra availability, resilience & security. Support is good for new implementations.
What do you dislike about the product?
The only thing I can think is that providing support to new technologies like Serverless on cloud continuos updates are required as Cloud Platforms change. So a maturity model is quite tough to maintain for such Chaos products.
What problems is the product solving and how is that benefiting you?
Try to find How the system will behave under inevitable failures like a specific Service or VM is down, how much time to recovery(MTTR), how resilient architecture handles random failures.
Emulating black holes service to simulate different service failures helps understand cascading failures, which you might not expect in design earlier. How interconnected services will behave/misbehave in dependency failure & prevent data loss with middleware failures
Emulating black holes service to simulate different service failures helps understand cascading failures, which you might not expect in design earlier. How interconnected services will behave/misbehave in dependency failure & prevent data loss with middleware failures
Reuben Rajan G.
Go to solution to get started with Chaos Engineering
Reviewed on Feb 02, 2022
Review provided by G2
What do you like best about the product?
Easy to use chaos engineering tool, minimal installation, great for entrants in chaos engineering concepts. Easy cloud integration. Lots of documentation to get started quickly.
What do you dislike about the product?
Has limited support for on-premise chaos injection, and it requires a subscription to run multi-point chaos experiments. Open-source version of the product is not available,
What problems is the product solving and how is that benefiting you?
We use Gremlin to run chaos tests against our K8 workloads hosted on AWS. Our teams can get quickly onboarded with the chaos engineering concepts. Great tool for our new joiners.