spotinfo | exploring AWS EC2 Spot inventory | Natural Language Processing library
kandi X-RAY | spotinfo Summary
kandi X-RAY | spotinfo Summary
Using Amazon EC2 Spot instances is an excellent way to reduce EC2 on-demand instance cost, up to 90%. Whenever you have a workload that can survive VM interruption or be suspended and resumed later on without impacting business use cases, choosing the Spot pricing model is a no-brainer choice. You should weigh your application’s tolerance for interruption and your cost saving goals when selecting a Spot instance. The lower your interruption rate, the longer your Spot instances are likely to run. Amazon provides an excellent web interface AWS Spot Instance Advisor to explore available Spot instances and determine spot instance pools with the least chance of interruption. You can also check the savings you get over on-demand rates. You can also check the savings you get over on-demand rates. And then, you are supposed to use these metrics for selecting appropriate Spot instances. While the AWS Spot Instance Advisor is a valuable tool, it is not easy to use its data for scripting and automation, and some use cases require too many clicks. That's why I created the spotinfo tool. It's an easy-to-use command-line tool (open source under Apache 2.0 License) that allows you to explore AWS Spot instances in a terminal and use the spot data it provides for scripting and automation.
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Top functions reviewed by kandi - BETA
- GetSpotSavings returns the advice for the specified regions .
- main is the main entry point .
- pazyLazyLoad loads raw data from the given URL
- mainCmd is the sub command .
- dataLazyLoad fetches the data from the given URL .
- Convert raw price data to spotPriceData
- printAdvicesTable prints a list of advice data
- getSpotInstancePrice gets the price for a particular instance .
- handleSignals handles SIGINT SIGINT SIGINT SIGINT SIGINT .
- printAdvicesNumber prints number of advice numbers
spotinfo Key Features
spotinfo Examples and Code Snippets
# run binary
spotinfo --type="^.(6g)(\S)*" --cpu=8 --memory=64 --region=us-west-2 --os=linux --output=table --sort=type
# OR run Docker image
docker run -it --rm ghcr.io/alexei-led/spotinfo --type="^.(6g)(\S)*" --cpu=8 --memory=64 --region=us-west-2
spotinfo --help
NAME:
spotinfo - spotinfo CLI
USAGE:
spotinfo [global options] command [command options] [arguments...]
VERSION:
1.0.0
COMMANDS:
help, h Shows a list of commands or help for one command
GLOBAL OPTIONS:
--type value
> make help
all Build program binary
check_deps Verify the system has all dependencies installed
test-bench Run benchmarks
test-short Run only short tests
test-verbose Run tests in verbose mode with coverage repo
Community Discussions
Trending Discussions on spotinfo
QUESTION
In a SLURM cluster I am submitting a shell script that calls a python script (both scripts can be found below. When the shell script executes it get until where the python script is called but then nothing happens: there is no output, no error message and the SLURM job keeps running.
I assume the entire contents of the python script are not relevant (but I included it anyway for completion). For debugging purposes I inserted the print("script started")
line at the very beginning to see if it gets run but it doesn't. The last thing I see in the output is moved to directory
.
I tried calling a test.py
script containing print("test")
right before this and it gets executed normally.
What could be the reason the python script doesn't start and how can I fix it?
Edit: As user jakub recommended changing print("script started")
to print("script started", flush=True)
successfully gets printed. Including several more of these statements revealed that the script was actually running perfectly fine, it just didn't output anything. Including the same statement within the for loop that gets constantly executed also makes all print()
statements previously missing get printed.
The question then turns into: why do the print()
statements here need to have flush=True
in this script but not in other scripts?
Shell script:
...ANSWER
Answered 2020-Aug-15 at 12:34Python buffers stdin, stdout, and stderr by default. print()
writes to stdout
by default, so you will see this buffered behavior.
From https://stackoverflow.com/a/14258511/5666087 :
Python opens the stdin, -out and -error streams in a buffered mode; it'll read or write in larger chunks, keeping data in memory until a threshold is reached.
You can forcibly flush this buffer by passing flush=True
to print
. See the documentation for more information. If you have multiple print
statements in a row, you need only use flush=True
in the last one.
QUESTION
I have written a bit of C# but I'm convinced that these 17 if statements could be reduced. I have tried a lot but so far nothing worked for me. Its an Windows form app for the once who want to know.
...ANSWER
Answered 2018-Oct-15 at 14:32So you load a counter, then for each associated "P" you set color based on some other condition
How about putting those "P" things into an array:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spotinfo
Supported OS: OS X, Windows, Linux
Supported Platforms: Intel (amd64) and ARM (arm64)
Use Docker buildx plugin to build multi-architecture Docker image.
DOCKER_USERNAME - Docker Registry username
DOCKER_PASSWORD - Docker Registry password or token
CR_PAT - Current GitHub Personal Access Token (with write/read packages permission)
DOCKER_REGISTRY - optional; Docker Registry name, default to docker.io
DOCKER_REPOSITORY - optional; Docker image repository name, default to $GITHUB_REPOSITORY (i.e. user/repo)
RELEASE_TOKEN - GitHub Personal Access Token (with repo scope)
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