Cloud Native gaming with kruiseGame
What is kruise-game ?
kruise-game is an opensource project under openkruise that aims to bring cloud native transformation for gaming workloads aka game servers.
but what are game servers really ?
games servers are basically virtual machines or containers that handle the core functionalities in the backend of PVP multiplayer online game
below I have shown basic game server architecure used by modern PvP online games
why do we really need kruise-game. aren't default k8s resources enough for gaming workloads ?
modern PvP games are getting increasingly complex they require multiple game servers to handle different kind of services for example.
your modern PvP game like valorant need game servers for lobbying ,matchmaking,and the one that runs actualy game logic and manages game state.Handling so many game servers is big task and cant be done manually. So what now ?
well we have got kubernetes to rescue.K8s with it's automated operation and mangement
capabilities can handle this burden for Us,just deploy your game server image and we are done right ?. Not really
I wish it was this easy.The problem is your not deploying your usual stateless web app here.Game servers are different and their requirements are different.k8s default resources are good for stateless apps but gameservers have a more complex lifecycle and they are stateful also their network requirements are different.
first of all game servers need direct lossless connection to clients(udp connection),for this we need fixed Ip addresses of pods,k8s pods IP is changed during deletion,scaling.
also there is lack of control you have over pods if use them for game servers ,there is a thing called rolling update where you update some instances of game servers to test the update and gradually roll out to other instances to prevent downtime,K8s scheduler doesn't know you are working with game servers it will update pods in random manner,basically you have no control over the update strategy of your game servers.SO you have little to no flexibility over game server updates.
To mitigate these issues kruise-game defines two custom Resource designed specifically for game server workloads gameServer and gameserverSet
gameServer:Refers to the abstraction of O&M and management operations on a specified game server. It is mainly used for O&M and management operations such as update sequence control, state control of the game server, and network changes of the game server.
gameServerSet:Refers to the abstraction of lifecycle management for a group of game servers. It is mainly used for lifecycle control such as replica number management and game server launch.
features that kruise-game provides for management of game servers:-
Hot update based on images and hot reload of configurations
Update, deletion, and isolation of specified game servers
Multiple built-in network models (fixed IP address and port, lossless direct connection, and global acceleration)
Auto scaling
Automated O&M (service quality)
Independent of cloud service providers
Complex game server orchestration
Below image shows kruise-game deploymment architecture on k8s
getting started with kruise-game :0
- getting a k8s cluster and helm
you would need a k8s cluster for kruise-game,easiest way to get k8s cluster is to get minikube in your machine,also make sure you have helm installed in your machine.
2.start minikube
minikube start
3.use helm to install kruise-game
#kruise-game relies on openkruise so you need to install openkruise first # Firstly add openkruise charts repository if you haven't do this. $ helm repo add openkruise https://openkruise.github.io/charts/ # [Optional] $ helm repo update # Install the latest version. $ helm install kruise openkruise/kruise --version 1.6.3 #now instakk kruise-game $ helm install kruise-game openkruise/kruise-game --version 0.8.0
4.go to your minikube dashboard
minikube dashboard
5.you should kruise-game-system namespace, congrats you installed kruise-game
for more info and details about kruise-game refer to kruise-game docs.
Thanks for reading,hope you enjoyed this :).
The above is the detailed content of Cloud Native gaming with kruiseGame. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goisidealforbeginnersandsuitableforcloudandnetworkservicesduetoitssimplicity,efficiency,andconcurrencyfeatures.1)InstallGofromtheofficialwebsiteandverifywith'goversion'.2)Createandrunyourfirstprogramwith'gorunhello.go'.3)Exploreconcurrencyusinggorout

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

Golangisidealforbuildingscalablesystemsduetoitsefficiencyandconcurrency,whilePythonexcelsinquickscriptinganddataanalysisduetoitssimplicityandvastecosystem.Golang'sdesignencouragesclean,readablecodeanditsgoroutinesenableefficientconcurrentoperations,t
