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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.
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
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Dimension | Description | Cost/12 months |
|---|---|---|
Reliability Management | 5 Services, additional Services can be added via Private Offers | $15,000.00 |
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Email support is offered during 8am - 8pm PST, Monday - Friday. support@gremlin.com or by Zendesk widget in App
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Customer reviews
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.
Leave a comment0 comments
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
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.