Search Results for "vg-99"

...With Kompose, you can now push the same file to a production container orchestrator! Our conversions are not always 1-1 from Docker Compose to Kubernetes, but we will help get you 99% of the way there! kompose is a convenience tool to go from local Docker development to managing your application with Kubernetes. Transformation of the Docker Compose format to Kubernetes resources manifest may not be exact, but it helps tremendously when first deploying an application on Kubernetes. We have multiple ways to install Kompose. ...

Fortio (Φορτίο) started as, and is, Istio’s load testing tool and later (2018) graduated to be its own open-source project. Fortio runs at a specified query per second (qps) and records an histogram of execution time and calculates percentiles (e.g. p99 ie the response time such as 99% of the requests take less than that number (in seconds, SI unit)). It can run for a set duration, for a fixed number of calls, or until interrupted (at a constant target QPS, or max speed/load per connection/thread). Fortio is a fast, small (4Mb docker image, minimal dependencies), reusable, embeddable go library as well as a command line tool and server process, the server includes a simple web UI and REST API to trigger run and see graphical representation of the results (both a single latency graph and a multiple results comparative min, max, avg, qps and percentiles graphs).

fgprof is a sampling Go profiler that allows you to analyze On-CPU as well as Off-CPU (e.g. I/O) time together. Go's builtin sampling CPU profiler can only show On-CPU time, but it's better than fgprof at that. Go also includes tracing profilers that can analyze I/O, but they can't be combined with the CPU profiler. fgprof is designed for analyzing applications with mixed I/O and CPU workloads. This kind of profiling is also known as wall-clock profiling. If this is the first time you hear...

...For people coming from Python, vg is very similar to virtualenv, with dep being respective to pip. The main difference is that vg is much easier to use than virtualenv, because there's almost no mental overhead in using vg. You can pin versions of executable dependencies, such as linting and code generation tools. You can easily use a dependency from your global GOPATH inside your workspace, without running into confusing import errors.