troubleshoot | Preflight Checks and Support Bundles Framework for Kubernetes Applications
kandi X-RAY | troubleshoot Summary
kandi X-RAY | troubleshoot Summary
Replicated Troubleshoot is a framework for collecting, redacting, and analyzing highly customizable diagnostic information about a Kubernetes cluster. Troubleshoot specs are created by 3rd-party application developers/maintainers and run by cluster operators in the initial and ongoing operation of those applications. Troubleshoot provides two CLI tools as kubectl plugins (using Krew): kubectl preflight and kubectl support-bundle. Preflight provides pre-installation cluster conformance testing and validation (preflight checks) and support-bundle provides post-installation troubleshooting and diagnostics (support bundles).
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QUESTION
I am running some code on a STM32 chip which is logging to my uart port.
I am having a hard time finding the proper way to log an array of bytes. I wrote this function:
...ANSWER
Answered 2021-Jun-15 at 19:36If the problem did end up being from heap overuse (from strncat), then you could try out this implementation that uses the return from sprintf to append to the string as your building it.
QUESTION
Here is my sample data:
...ANSWER
Answered 2021-Jun-14 at 15:37Try this:
QUESTION
I use Flutter with Android Studio on a Mac.
One day (today), I ran "flutter doctor" from the command line.
It stated that my "cocoapods" was not good enough.
...ANSWER
Answered 2021-Mar-12 at 04:49You could try:
QUESTION
I am looking for a way to print out the raw http query string when I use the request library in python3. It's for troubleshooting purposes. Anyone has an idea how to do this. I tried to use prepared requests, but it is not what I'm looking for.Any suggestion?
thanks
...ANSWER
Answered 2021-Jun-14 at 15:44import requests
response = requests.get('https://api.github.com')
You can use: response.text or response.content or response.raw
QUESTION
Yesterday, I created a branch from a branch, pushed it to origin, and merged it back into master. You can see that here:
...ANSWER
Answered 2021-Jun-13 at 17:06I can get this behavior by giving a branch a name that matches the SHA1 prefix of a commit.
QUESTION
In a Node command I have passed two arguments--each a file name. When I print the command line arguments to the console using the console.log(process.argv), the last argument is missing the slash delimiters in the path. Any ideas why, or how to troubleshoot this? Here is the output.
ANSWER
Answered 2021-Jun-13 at 12:10I figured out the cause of my issue. It was due to this line in my settings.json file:
"shell": "C:/Program Files/Git/bin/bash.exe",
Once I removed that, my issue went away.
QUESTION
I am trying out sample hello world application to make use of knative events. Using the reference guide: https://knative.dev/docs/eventing/samples/helloworld/helloworld-python/
I manage to create service, deployment & trigger using the sample-app.yaml. However when I run
kubectl --namespace knative-samples get trigger helloworld-python
to check on the trigger status, I got this error "NewObservedGenFailure".
knative-samples helloworld-python default 21m Unknown NewObservedGenFailure
Any insight on what is causing this? Or how can I troubleshoot this issue? Could not get much info from google. Thank you
...ANSWER
Answered 2021-Jun-13 at 04:44I was just blindly following the guide which did not state about broker creation. The trigger issue is resolved after creating the broker.
QUESTION
I am running a TPC-DS benchmark for Spark 3.0.1 in local mode and using sparkMeasure to get workload statistics. I have 16 total cores and SparkContext is available as
Spark context available as 'sc' (master = local[*], app id = local-1623251009819)
Q1. For local[*], driver and executors are created in a single JVM with 16 threads. Considering Spark's configuration which of the following will be true?
- 1 worker instance, 1 executor having 16 cores/threads
- 1 worker instance, 16 executors each having 1 core
For a particular query, sparkMeasure reports shuffle data as follows
shuffleRecordsRead => 183364403
shuffleTotalBlocksFetched => 52582
shuffleTotalBlocksFetched => 52582
shuffleLocalBlocksFetched => 52582
shuffleRemoteBlocksFetched => 0
shuffleTotalBytesRead => 1570948723 (1498.0 MB)
shuffleLocalBytesRead => 1570948723 (1498.0 MB)
shuffleRemoteBytesRead => 0 (0 Bytes)
shuffleRemoteBytesReadToDisk => 0 (0 Bytes)
shuffleBytesWritten => 1570948723 (1498.0 MB)
shuffleRecordsWritten => 183364480
Q2. Regardless of the query specifics, why is there data shuffling when everything is inside a single JVM?
...ANSWER
Answered 2021-Jun-11 at 05:56- executor is a jvm process when you use
local[*]you run Spark locally with as many worker threads as logical cores on your machine so : 1 executor and as many worker threads as logical cores. when you configureSPARK_WORKER_INSTANCES=5inspark-env.shand execute these commandsstart-master.shandstart-slave.sh spark://local:7077to bring up a standalone spark cluster in your local machine you have one master and 5 workers, if you want to send your application to this cluster you must configure application likeSparkSession.builder().appName("app").master("spark://localhost:7077")in this case you can't specify[*]or[2]for example. but when you specify master to belocal[*]a jvm process is created and master and all workers will be in that jvm process and after your application finished that jvm instance will be destroyed.local[*]andspark://localhost:7077are two separate things. - workers do their job using tasks and each task actually is a thread
i.e.
task = thread. workers have memory and they assign a memory partition to each task in order to they do their job such as reading a part of a dataset into its own memory partition or do a transformation on read data. when a task such as join needs other partitions, shuffle occurs regardless weather the job is ran in cluster or local. if you were in cluster there is a possibility that two tasks were in different machines so Network transmission will be added to other stuffs such as writing the result and then reading by another task. in local if task B needs the data in the partition of the task A, task A should write it down and then task B will read it to do its job
QUESTION
I am trying to connect to Firestore from code running on GKE Container. Simple REST GET api is working fine, but when I access the Firestore from read/write, I am getting Missing or insufficient permissions.
...ANSWER
Answered 2021-Jun-12 at 12:26Looks like they key itself might not be correctly visible to the pod. I would start by getting into the pod with kubectl exec --stdin --tty -- /bin/bash and ensuring that the /var/key.json (per your config) is accessible and has the correct credentials.
The following would be a good way to mount the secret:
QUESTION
I’m trying to make an api request from another backend (written in Node.js) to my Kirby API, but everything I try just results in ECONNREFUSED. What am I doing wrong?
...ANSWER
Answered 2021-Jun-12 at 02:23Apparently, the solution was to start Kirby using php -S 0.0.0.0:8000 instead of using php -S localhost:8000, and then reaching the API via http://0.0.0.0:8000/api instead of http://localhost:8000/api.
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