We added basic prometheus instrumentation, but this only encapsulated basic go metrics and
request counts. This adds latency and response size metrics exporting as well, to the
public-api server, theweb server and the telemetry server.
Since the util function in grpc.go was basically used to wrap the server creation in a prometheus handler, I added the other prometheus constants in there and renamed the file to prometheus.go.
- Add request duration and response size instrumentation to web and public api
- Also add latency monitoring to telemetry service requests
- Rename util/grpc.go to util/prometheus.go
* Add /paths page that shows rollup metrics by path
* Clean up ApiHelpers a bit
Adds ability to sort by column in the tabbed metrics table (to make a TabbedMetricsTable sortable, set sortable={true})
Adds a page, accessible via /paths that shows a table of all paths, with their request/success/latency metrics. I haven't exposed it in the sidebar as it doesn't have design treatment.
* Sort imports
Signed-off-by: Kevin Lingerfelt <kl@buoyant.io>
* Upgrade k8s.io/client-go to v6.0.0
Signed-off-by: Kevin Lingerfelt <kl@buoyant.io>
* Make k8s store initialization blocking with timeout
Signed-off-by: Kevin Lingerfelt <kl@buoyant.io>
We’ve built Conduit from the ground up to be the fastest, lightest,
simplest, and most secure service mesh in the world. It features an
incredibly fast and safe data plane written in Rust, a simple yet
powerful control plane written in Go, and a design that’s focused on
performance, security, and usability. Most importantly, Conduit
incorporates the many lessons we’ve learned from over 18 months of
production service mesh experience with Linkerd.
This repository contains a few tightly-related components:
- `proxy` -- an HTTP/2 proxy written in Rust;
- `controller` -- a control plane written in Go with gRPC;
- `web` -- a UI written in React, served by Go.
Risha Mars
Kevin Lingerfelt
Dennis Adjei-Baah
Oliver Gould