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About

Ambient Mesh is a next-generation, sidecar-less service mesh designed to simplify security, connectivity, and observability for cloud-native workloads. It enables teams to secure and connect applications without modifying application code or adding operational overhead. Ambient Mesh provides zero-trust, SPIFFE-based security with end-to-end workload encryption. Built-in observability tools deliver distributed tracing, logs, and real-time performance insights. The platform supports advanced traffic control features such as routing, failover, and blue-green deployments. Ambient Mesh allows organizations to migrate from traditional sidecar-based meshes with zero downtime. By reducing complexity and resource usage, it helps teams operate more efficiently at scale.

About

Traversal is an ambient AI Site Reliability Engineering (SRE) agent that operates 24/7 to autonomously troubleshoot, fix, and even prevent production incidents. It parses logs, metrics, traces, and your codebase to narrow down root causes of errors or latency, surfacing the blast radius, key bottleneck services, and candidate root causes with supporting evidence within minutes. Powered by advances in causal machine learning, large language model reasoning, and AI agents, Traversal catches issues before alerts fire and resolves them automatically. Designed for critical infrastructure and complex organizations, it supports heterogeneous data, bring-your-own models, and optional on-premises deployment. Traversal connects easily to existing systems with read-only access, no agents or sidecars, and no writes to production, ensuring privacy and control over data. By integrating seamlessly into your observability stack, Traversal reduces time to resolution, minimizes downtime, and more.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Ambient Mesh is designed for platform engineers, DevOps teams, and enterprises running Kubernetes-based microservices who want a simpler, more efficient alternative to traditional sidecar-based service meshes

Audience

IT and DevOps teams seeking an autonomous AI-driven solution to enhance site reliability, reduce incident response times, and maintain system uptime without increasing operational overhead

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Ambient Mesh
Founded: 2017
United States
ambientmesh.io

Company Information

Traversal
United States
www.traversal.com

Alternatives

Alternatives

Traverse

Traverse

Practical Compliance Solutions

Categories

Categories

Integrations

Amazon EKS
Amazon EKS Anywhere
Azure Kubernetes Service (AKS)
Cilium
Cloudways
DigitalOcean
Drip
Envoy
Eventbrite
Google Cloud Platform
Google Kubernetes Engine (GKE)
Hubble
Istio
Kubernetes
Microsoft Azure
Red Hat OpenShift
Solo Enterprise
Splunk APM
agentgateway

Integrations

Amazon EKS
Amazon EKS Anywhere
Azure Kubernetes Service (AKS)
Cilium
Cloudways
DigitalOcean
Drip
Envoy
Eventbrite
Google Cloud Platform
Google Kubernetes Engine (GKE)
Hubble
Istio
Kubernetes
Microsoft Azure
Red Hat OpenShift
Solo Enterprise
Splunk APM
agentgateway
Claim Ambient Mesh and update features and information
Claim Ambient Mesh and update features and information
Claim Traversal and update features and information
Claim Traversal and update features and information