• Stars
    star
    203
  • Rank 192,890 (Top 4 %)
  • Language
    Go
  • License
    BSD 3-Clause "New...
  • Created about 5 years ago
  • Updated 7 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A generic framework for injecting sidecars and related configuration in Kubernetes using Mutating Webhook Admission Controllers

A Generic framework for Writing Mutating Webhook Admission Controllers.

Build Status Go Report Card

Many kubernetes users have started using mutating admission controllers to inject sidecars. These sidecars are used for different purposes like logging, service mesh, monitoring, getting certificates, secret decryption, etc. Its most likely that all of these functions are being maintained by different teams. Its also most likely that each of these teams is writing the same code for mutating admission controllers, same unit tests and similar helm charts. In order to avoid duplication and improve collaboration, we are introducing this framework.

Generic Sidecar Injector is a framework that allows you to inject sidecars(aka containers), initcontainers, volumes and volume mounts in a very config driven way that will solve most sidecar injection needs without requiring code change.

How to run tests

make 

Build a docker image

make docker

Documentation

Configuration

The framework divides the configuration into two parts.

  1. What needs to be injected , aka the sidecar configuration
  2. A list of mutations, aka the mutation configuration

The mutating webhook takes the following arguments:-

/mutating-webhook/mutating-webhook
 --sidecar-config-file=/config/sidecarconfig.yaml
 --mutation-config-file=/config/mutationconfig.yaml
 --cert-file-path=/etc/identity/server/certificates/server.pem
 --key-file-path=/etc/identity/server/keys/server-key.pem

Sidecar Configs

--sidecar-config-file is a list of initcontainers, containers and volumes to inject. The container and volume yamls are exactly the same as the K8s container and volume format.

initContainers:
    - name: rsyslog-init
      image: blah
      command: ["bash", "-c"]
      env:
      - name: LOG_TYPES_JSON
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.annotations['rsyslog.k8s-integration.sfdc.com/log-configs']
containers:
    - name: rsyslog-sidecar
volumes:
    - name: rsyslog-spool-vol

Mutation Configs

--mutation-config-file is a list of mutations that need to be performed by the Mutating Webhook. All the mutations belong to the same team. Each mutation consists of a trigger in the form of an annotation and a list of injections performed in response to the annotation trigger.

Its in the following format:-

mutationConfigs:
  - name: "rsyslog-file-tailer"
    annotationNamespace: "rsyslog.k8s-integration.sfdc.com"
    annotationTrigger: "inject"
    annotationConfig:
      volumeMounts:
        - name: "volume-mounts"
          containerRefs: ["rsyslog-sidecar"]
    initContainersBeforePodInitContainers: ["vault-init"]
    initContainers: ["rsyslog-init", "vault-init"]
    containers: ["rsyslog-sidecar"]
    volumes: ["rsyslog-spool-vol", "rsyslog-conf-tpl", "rsyslog-conf-gen"]
    volumeMounts: []
    ignoreNamespaces: []

Meaning of different terms

annotationNamespace: Every Mutating webhook only looks at annotations within a namespace that it owns. In the above example, the mutating webhook only looks at the annotations that begin with rsyslog.k8s-integration.sfdc.com

annotationTrigger: The injection is only triggered if the kPod has the following annotation
rsyslog.k8s-integration.sfdc.com/inject present

initContainersBeforePodInitContainers: This is a list of init containers to inject before all other init containers

initContainers: This is a list of init containers to inject when the annotation is present on the pod. The name of the initContainers should match an init container in the -sidecar-config-file

containers: This is a list of containers to inject when the annotation is present on the pod. The name of the containers should match a container in the -sidecar-config-file

volumes: This is a list of volumes to inject when the annotation is present on the pod. The name of the volumes should match a volume in the -sidecar-config-file

annotationConfig: This is a way of dynamically injecting configuration in the injected containers which is only known at the pod creation time. Currently it only supports injecting volumeMounts into the injected containers. This will soon be DEPRECATED.

Dynamic Configuration of Injected Containers

DEPRECATED, will soon be removed, since the same functionality can be achieved by templating.

annotationConfig:
    volumeMounts:
    - name: "volume-mounts"
      containerRefs: ["rsyslog-sidecar"]

In the above mutationConfig example, it is instructing the Mutation Webhook to look for an annotation called volume-mounts and use the value of that annotation to configure a volumeMount inside the container rsyslog-sidecar which is present in the sidecar configuration.

The annotation value has configuration for what volume to mount and its mountPath inside the container rsyslog-sidecar.

Here is the corresponding annotation to expect on the pod. This annotation assumes that the volume β€œlogs” already exists in the Pod.

rsyslog.k8s-integration.sfdc.com/volume-mounts: >
        [
            {
                "name": "logs",
                "mountPath": "/logs"
            }
        ]

Passing Configuration to Injected Containers as Environment Variables

Sometimes you need to pass large configuration to the injected containers. One way to do this is by annotations.

In the Pod, pass an annotation with the required config as follows:-

rsyslog.k8s-integration.sfdc.com/log-configs: >
        [
            {
                "id": "log1",
                "source_type": "test:test",
                "paths": ["/logs/log1.log"],
                "multiline_option": "REGEX",
                "start_regex": "^[[:digit:]]{14}\\\\.[[:digit:]]{6}"
            }
        ]

In the injected container create an environment variable that references this annotation as the source of the value for that environment variable.

env:
      - name: LOG_TYPES_JSON
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.annotations['rsyslog.k8s-integration.sfdc.com/log-configs']
            

Example Pod Annotation to that goes with above examples

# Example pod with rsyslog injection and configuration annotations.
apiVersion: v1
kind: Pod
metadata:
  name: rsyslog-inject-example
  namespace: test-injection
  annotations:
    rsyslog.k8s-integration.sfdc.com/inject: enabled
    rsyslog.k8s-integration.sfdc.com/volume-mounts: >
        [
            {
                "name": "logs",
                "mountPath": "/logs"
            }
        ]
    rsyslog.k8s-integration.sfdc.com/log-configs: >
        [
            {
                "id": "log1",
                "source_type": "test:test",
                "paths": ["/logs/log1.log"],
            }
        ]
spec:
  containers:
  - name: app
    image: someimage:17
    command: ['sh', '-c', 'while true; do echo -e "20190904013510.766000 [INFO ] log line 1\nline 2\nline 3" >> /logs/log1.log; sleep 10; done']
  volumes:
    - name: logs
      emptyDir: {}

Templating of Sidecar Configuration

The framework supports golang templating in the sidecar configs. This means certain parts of the injected container can be derived at runtime from the pod in which the injection needs to happen.

For e.g. lets say your container has a secret whose name is derived from the service account name of the pod. You sidecar config can look like this :-

volumes:
  - name: foo
    secret:
       ### This templated field will come from the pod manifest passed to the mutating webhook controller
       secretName: aws-iam-{% .Spec.ServiceAccountName %}
  

Similarly lets say you want to populate an environment variable in the injected container, where the value of the environment variable comes from an annotation in the pod.


- name: VAULT_ROLE
  ### This templated field will come from the pod manifest passed to the mutating webhook controller
  value: {% index .Annotations "vault.k8s-integration.sfdc.com/role" %}

More Repositories

1

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence
Jupyter Notebook
9,587
star
2

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
Python
4,594
star
3

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Jupyter Notebook
3,879
star
4

akita

πŸš€ State Management Tailored-Made for JS Applications
TypeScript
3,442
star
5

Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence
Python
3,355
star
6

ja3

JA3 is a standard for creating SSL client fingerprints in an easy to produce and shareable way.
Python
2,666
star
7

CodeT5

Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Python
2,437
star
8

decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP
Python
2,301
star
9

TransmogrifAI

TransmogrifAI (pronounced trΔƒns-mŏgˈrΙ™-fΔ«) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Scala
2,234
star
10

policy_sentry

IAM Least Privilege Policy Generator
Python
1,986
star
11

cloudsplaining

Cloudsplaining is an AWS IAM Security Assessment tool that identifies violations of least privilege and generates a risk-prioritized report.
JavaScript
1,972
star
12

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch
Python
1,900
star
13

ctrl

Conditional Transformer Language Model for Controllable Generation
Python
1,766
star
14

lwc

⚑️ LWC - A Blazing Fast, Enterprise-Grade Web Components Foundation
JavaScript
1,619
star
15

WikiSQL

A large annotated semantic parsing corpus for developing natural language interfaces.
HTML
1,606
star
16

sloop

Kubernetes History Visualization
Go
1,457
star
17

CodeTF

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Python
1,375
star
18

ALBEF

Code for ALBEF: a new vision-language pre-training method
Python
1,276
star
19

pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
Python
1,255
star
20

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies,Β as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
Python
964
star
21

design-system-react

Salesforce Lightning Design System for React
JavaScript
919
star
22

jarm

Python
914
star
23

tough-cookie

RFC6265 Cookies and CookieJar for Node.js
TypeScript
858
star
24

OmniXAI

OmniXAI: A Library for eXplainable AI
Jupyter Notebook
853
star
25

reactive-grpc

Reactive stubs for gRPC
Java
826
star
26

xgen

Salesforce open-source LLMs with 8k sequence length.
Python
717
star
27

UniControl

Unified Controllable Visual Generation Model
Python
614
star
28

vulnreport

Open-source pentesting management and automation platform by Salesforce Product Security
HTML
593
star
29

hassh

HASSH is a network fingerprinting standard which can be used to identify specific Client and Server SSH implementations. The fingerprints can be easily stored, searched and shared in the form of a small MD5 fingerprint.
Python
529
star
30

progen

Official release of the ProGen models
Python
518
star
31

base-components-recipes

A collection of base component recipes for Lightning Web Components on Salesforce Platform
JavaScript
509
star
32

Argus

Time series monitoring and alerting platform.
Java
501
star
33

CodeRL

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
Python
488
star
34

matchbox

Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
Python
488
star
35

PCL

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Python
483
star
36

DialogStudio

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI
Python
472
star
37

cove

Python
470
star
38

warp-drive

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Python
452
star
39

PyRCA

PyRCA: A Python Machine Learning Library for Root Cause Analysis
Python
408
star
40

observable-membrane

A Javascript Membrane implementation using Proxies to observe mutation on an object graph
TypeScript
368
star
41

DeepTime

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Python
351
star
42

ULIP

Python
316
star
43

MultiHopKG

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Jupyter Notebook
300
star
44

logai

LogAI - An open-source library for log analytics and intelligence
Python
298
star
45

CodeGen2

CodeGen2 models for program synthesis
Python
272
star
46

provis

Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."
Python
269
star
47

causalai

Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
Jupyter Notebook
256
star
48

jaxformer

Minimal library to train LLMs on TPU in JAX with pjit().
Python
255
star
49

EDICT

Jupyter Notebook
247
star
50

rules_spring

Bazel rule for building Spring Boot apps as a deployable jar
Starlark
224
star
51

ETSformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Python
221
star
52

TabularSemanticParsing

Translating natural language questions to a structured query language
Jupyter Notebook
220
star
53

themify

πŸ‘¨β€πŸŽ¨ CSS Themes Made Easy. A robust, opinionated solution to manage themes in your web application
TypeScript
216
star
54

simpletod

Official repository for "SimpleTOD: A Simple Language Model for Task-Oriented Dialogue"
Python
212
star
55

grpc-java-contrib

Useful extensions for the grpc-java library
Java
208
star
56

GeDi

GeDi: Generative Discriminator Guided Sequence Generation
Python
207
star
57

aws-allowlister

Automatically compile an AWS Service Control Policy that ONLY allows AWS services that are compliant with your preferred compliance frameworks.
Python
207
star
58

mirus

Mirus is a cross data-center data replication tool for Apache Kafka
Java
201
star
59

CoST

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Python
196
star
60

factCC

Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper
Python
192
star
61

runway-browser

Interactive visualization framework for Runway models of distributed systems
JavaScript
188
star
62

glad

Global-Locally Self-Attentive Dialogue State Tracker
Python
186
star
63

cloud-guardrails

Rapidly apply hundreds of security controls in Azure
HCL
181
star
64

ALPRO

Align and Prompt: Video-and-Language Pre-training with Entity Prompts
Python
177
star
65

densecap

Jupyter Notebook
176
star
66

kafka-junit

This library wraps Kafka's embedded test cluster, allowing you to more easily create and run integration tests using JUnit against a "real" kafka server running within the context of your tests. No need to stand up an external kafka cluster!
Java
167
star
67

booksum

Python
167
star
68

sfdx-lwc-jest

Run Jest against LWC components in SFDX workspace environment
JavaScript
162
star
69

hierarchicalContrastiveLearning

Python
149
star
70

ctrl-sum

Resources for the "CTRLsum: Towards Generic Controllable Text Summarization" paper
Python
146
star
71

cos-e

Commonsense Explanations Dataset and Code
Python
144
star
72

secure-filters

Anti-XSS Security Filters for EJS and More
JavaScript
138
star
73

metabadger

Prevent SSRF attacks on AWS EC2 via automated upgrades to the more secure Instance Metadata Service v2 (IMDSv2).
Python
129
star
74

dockerfile-image-update

A tool that helps you get security patches for Docker images into production as quickly as possible without breaking things
Java
127
star
75

Converse

Python
125
star
76

refocus

The Go-To Platform for Visualizing Service Health
JavaScript
125
star
77

CoMatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Python
117
star
78

BOLAA

Python
114
star
79

fsnet

Python
111
star
80

rng-kbqa

Python
110
star
81

near-membrane

JavaScript Near Membrane Library that powers Lightning Locker Service
TypeScript
110
star
82

botsim

BotSIM - a data-efficient end-to-end Bot SIMulation toolkit for evaluation, diagnosis, and improvement of commercial chatbots
Jupyter Notebook
108
star
83

bazel-eclipse

This repo holds two IDE projects. One is the Eclipse Feature for developing Bazel projects in Eclipse. The Bazel Eclipse Feature supports importing, building, and testing Java projects that are built using the Bazel build system. The other is the Bazel Java Language Server, which is a build integration for IDEs such as VS Code.
Java
108
star
84

MUST

PyTorch code for MUST
Python
103
star
85

bro-sysmon

How to Zeek Sysmon Logs!
Zeek
100
star
86

Timbermill

A better logging service
Java
99
star
87

AuditNLG

AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness
Python
97
star
88

eslint-plugin-lwc

Official ESLint rules for LWC
JavaScript
96
star
89

best

πŸ† Delightful Benchmarking & Performance Testing
TypeScript
95
star
90

craft

CRAFT removes the language barrier to create Kubernetes Operators.
Go
93
star
91

eslint-config-lwc

Opinionated ESLint configurations for LWC projects
JavaScript
93
star
92

online_conformal

Methods for online conformal prediction.
Jupyter Notebook
90
star
93

lobster-pot

Scans every git push to your Github organisations to find unwanted secrets.
Go
88
star
94

ml4ir

Machine Learning for Information Retrieval
Jupyter Notebook
85
star
95

violet-conversations

Sophisticated Conversational Applications/Bots
JavaScript
84
star
96

apex-mockery

Lightweight mocking library in Apex
Apex
83
star
97

fast-influence-functions

Python
83
star
98

MoPro

MoPro: Webly Supervised Learning
Python
79
star
99

TaiChi

Open source library for few shot NLP
Python
79
star
100

helm-starter-istio

An Istio starter template for Helm
Shell
78
star