This release is a pre-release and may not be stable for production use.
Galileo FaaS
This project aims to provide easy to use functions to monitor a running K3S cluster, including telemetry data and traces. The provided functions can help to build intelligent runtime optimizations, i.e., load balancing or scheduling strategies.
For this environment to work, you need to have the following setup:
- a running K3S cluster
- an etcd instance
- redis for storing nodeinfos and as pub/sub framework
- telemd daemons deployed to monitor resource usage
- telemd-kubernetes-adapter daemon deployed in the Kubernetes cluster that monitors all Pods an emits events upon changes.
In case you want to start a full-fledged experiment with galileo, you will also need:
- InfluxDB to store telemetry, traces and events
- MariaDB for experiment metadata
Visit the galileo-experiments project to get further information on setting up an experiment environment.
Example
Look for an example on how to quickly start all services under galileofaas.cli.main.
Installation
Create a Python 3.9 virtual environment and install requirements.txt and requirements-dev.txt (see Makefile).
Hint
Currently you have to install the following dependencies from source:
edgerun/faas and edgerun/skippy-core (model-updates branch).
Environment Variables - Galileo FaaS
| Variable | Default | Description |
|---|---|---|
| galileo_faas_logging | DEBUG | Log level (DEBUG, INFO, WARN, ERROR) |
| galileo_faas_telemetry_window_size | 60 | the time window that will be cached, in s |
| galileo_faas_trace_window_size | 60 | the time window that will be cached, in s |
| galileo_faas_redis_host | localhost | |
| galileo_faas_redis_port | 6379 | |
| galileo_faas_redis_password | optional | Password for Redis |
| galileo_faas_influxdb_url | http://localhost:8086 | URL to InfluxDB v2 instance |
| galileo_faas_influxdb_token | token | Token for InluxDB instance |
| galileo_faas_influxdb_org | org | InfluxDB organziation to save experiments in |
| galileo_faas_influxdb_timeout | 10_000 | Timeout for InfluxDB connections (in ms) |
| galileo_faas_k8s_config | local | Configures where the galileo-faas program is started (local or incluster) |
| galileo_faas_etcd_host | localhost | Host of the Etcd instance (relevant for load balancer to get weights) |
| galileo_faas_etcd_port | 2379 | Port of the Etcd instance |
| galileo_faas_async_pod | False | Set to True if Pod creation should by async |
1 maintainer
Metadata
1 maintainer
Release files for edgerun-galileo-faas 0.0.1.dev9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| edgerun-galileo-faas-0.0.1.dev9.tar.gz | 23.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| edgerun_galileo_faas-0.0.1.dev9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.1 kB
Release files / edgerun-galileo-faas-0.0.1.dev9.tar.gz
| Download URL | edgerun-galileo-faas-0.0.1.dev9.tar.gz |
|---|---|
| Size | 23.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
704be3130924cc31bdf38b4f3ecefc76fa5776e7aa5567db928a1f169d8e1749
|
|
BLAKE2b-256 checksum How to use checksums |
77e97d898329fbc40f802e65afe1146bd79041127f4a4ac1c57f635116f54a5b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Release files / edgerun_galileo_faas-0.0.1.dev9-py3-none-any.whl
| Download URL | edgerun_galileo_faas-0.0.1.dev9-py3-none-any.whl |
|---|---|
| Size | 35.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d60df859db3f2039eeb6b002a9c6c0d1d29dfeb7929f450d063d19bfb3208060
|
|
BLAKE2b-256 checksum How to use checksums |
9d40c23187166305985079311a6715c0f3c33d46793c5eb44c8903a1abe00b6b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Security for edgerun-galileo-faas 0.0.1.dev9
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
