


Deleting Associated Persistent Disks Upon Cluster Deletion
In Kubernetes Engine, it's expected that persistent disks attached to a cluster will remain after cluster deletion. However, users may desire to delete these disks simultaneously for various reasons. Determining the disk names or IDs to delete can be challenging, as the Cluster get API lacks disk-related information.
Solution
The recommended approach to identify disks associated with a GKE cluster is through the Cloud SDK. By utilizing filters and appropriate formatting, users can retrieve a list of disks:
- All GKE disks:
gcloud compute disks list --format="table(name,users)" --filter="name~^gke-"
- Disks used as PVCs:
gcloud compute disks list --format="table(name,users)" --filter="name~^gke-.*-pvc-.*"
- Detached PVC disks (not in use by a cluster):
gcloud compute disks list --format="table(name,users)" --filter="name~^gke-.*-pvc-.* AND -users:*"
To verify that a detached disk is not in use, users can employ the following kubectl command:
kubectl get pv -o custom-columns=K8sPV:.metadata.name,GCEDisk:spec.gcePersistentDisk.pdName
The corresponding API method for obtaining a list of disks is disks.list.
Note: The filters and formatting options presented may vary depending on the specific requirements of the user's environment. It's advisable to adjust the commands accordingly to suit their use case.
The above is the detailed content of How to Identify and Delete Persistent Disks Associated with a GKE Cluster?. For more information, please follow other related articles on the PHP Chinese website!

In Go programming, ways to effectively manage errors include: 1) using error values instead of exceptions, 2) using error wrapping techniques, 3) defining custom error types, 4) reusing error values for performance, 5) using panic and recovery with caution, 6) ensuring that error messages are clear and consistent, 7) recording error handling strategies, 8) treating errors as first-class citizens, 9) using error channels to handle asynchronous errors. These practices and patterns help write more robust, maintainable and efficient code.

Implementing concurrency in Go can be achieved by using goroutines and channels. 1) Use goroutines to perform tasks in parallel, such as enjoying music and observing friends at the same time in the example. 2) Securely transfer data between goroutines through channels, such as producer and consumer models. 3) Avoid excessive use of goroutines and deadlocks, and design the system reasonably to optimize concurrent programs.

Gooffersmultipleapproachesforbuildingconcurrentdatastructures,includingmutexes,channels,andatomicoperations.1)Mutexesprovidesimplethreadsafetybutcancauseperformancebottlenecks.2)Channelsofferscalabilitybutmayblockiffullorempty.3)Atomicoperationsareef

Go'serrorhandlingisexplicit,treatingerrorsasreturnedvaluesratherthanexceptions,unlikePythonandJava.1)Go'sapproachensureserrorawarenessbutcanleadtoverbosecode.2)PythonandJavauseexceptionsforcleanercodebutmaymisserrors.3)Go'smethodpromotesrobustnessand

WhentestingGocodewithinitfunctions,useexplicitsetupfunctionsorseparatetestfilestoavoiddependencyoninitfunctionsideeffects.1)Useexplicitsetupfunctionstocontrolglobalvariableinitialization.2)Createseparatetestfilestobypassinitfunctionsandsetupthetesten

Go'serrorhandlingreturnserrorsasvalues,unlikeJavaandPythonwhichuseexceptions.1)Go'smethodensuresexpliciterrorhandling,promotingrobustcodebutincreasingverbosity.2)JavaandPython'sexceptionsallowforcleanercodebutcanleadtooverlookederrorsifnotmanagedcare

AneffectiveinterfaceinGoisminimal,clear,andpromotesloosecoupling.1)Minimizetheinterfaceforflexibilityandeaseofimplementation.2)Useinterfacesforabstractiontoswapimplementationswithoutchangingcallingcode.3)Designfortestabilitybyusinginterfacestomockdep

Centralized error handling can improve the readability and maintainability of code in Go language. Its implementation methods and advantages include: 1. Separate error handling logic from business logic and simplify code. 2. Ensure the consistency of error handling by centrally handling. 3. Use defer and recover to capture and process panics to enhance program robustness.


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

SublimeText3 Linux new version
SublimeText3 Linux latest version

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Dreamweaver Mac version
Visual web development tools

SublimeText3 Chinese version
Chinese version, very easy to use
