Find out what your peers are saying about Isito, HAProxy, Kong and others in Service Mesh.
| Product | Market Share (%) |
|---|---|
| Istio | 17.0% |
| Envoy | 21.5% |
| Other | 61.5% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 3 |
As on the ground microservice practitioners quickly realize, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability. It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application.
Originally built at Lyft, Envoy is a high performance C++ distributed proxy designed for single services and applications, as well as a communication bus and “universal data plane” designed for large microservice “service mesh” architectures. Built on the learnings of solutions such as NGINX, HAProxy, hardware load balancers, and cloud load balancers, Envoy runs alongside every application and abstracts the network by providing common features in a platform-agnostic manner. When all service traffic in an infrastructure flows via an Envoy mesh, it becomes easy to visualize problem areas via consistent observability, tune overall performance, and add substrate features in a single place.
Connect
Intelligently control the flow of traffic and API calls between services, conduct a range of tests, and upgrade gradually with red/black deployments.
Secure
Automatically secure your services through managed authentication, authorization, and encryption of communication between services.
Control
Apply policies and ensure that they’re enforced, and that resources are fairly distributed among consumers.
Observe
See what's happening with rich automatic tracing, monitoring, and logging of all your services.
We monitor all Service Mesh reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
