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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

zymtrace is a continuous profiling and observability platform designed to help engineers optimize the performance of modern computing workloads that run across both CPUs and GPUs. It provides deep system-level visibility into how applications, AI models, and infrastructure consume computing resources, allowing developers to identify inefficiencies and performance bottlenecks without modifying their code or restarting systems. Built with eBPF-based profiling technology, zymtrace collects performance data across the full execution stack, from high-level application code and runtime libraries down to the Linux kernel and GPU instructions, enabling a unified analysis of heterogeneous workloads. It correlates GPU activity with the CPU code paths that launch it, bridging a common gap in traditional observability tools that typically treat GPUs as black boxes and provide only surface-level metrics.

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

AI engineers, infrastructure teams, and developers who need a platform to profile and optimize CPU- and GPU-accelerated workloads in large-scale computing and machine learning systems

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

zymtrace
Founded: 2024
United States
zymtrace.com

Alternatives

Alternatives

Categories

Categories

Integrations

Kubernetes
.NET
Amazon EKS
Amazon S3
Azure Kubernetes Service (AKS)
Envoy
Go
GraphQL
Hubble
Istio
Microsoft Azure
NVIDIA DRIVE
Node.js
Python
R
Red Hat OpenShift
Ruby
Splunk APM
agentgateway

Integrations

Kubernetes
.NET
Amazon EKS
Amazon S3
Azure Kubernetes Service (AKS)
Envoy
Go
GraphQL
Hubble
Istio
Microsoft Azure
NVIDIA DRIVE
Node.js
Python
R
Red Hat OpenShift
Ruby
Splunk APM
agentgateway
Claim Ambient Mesh and update features and information
Claim Ambient Mesh and update features and information
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Claim zymtrace and update features and information