Find out what your peers are saying about Isito, Envoy, VMware and others in Service Mesh.
Reducing the latency between the control plane and the data plane would be beneficial.
Handling large-scale environments with proxies can strain resources, but horizontal scaling can improve fault tolerance.
Integration with observability tools like Prometheus, Grafana, and Elasticsearch incurs additional costs.
The architecture, configuration, and resource management can impact stability.
The security feature with mutual TLS authentication, which is identity-based, and the traffic management using cloud load balancers are very valuable.
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.
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