cloudping | AWS Hosted Uptime Monitoring | Monitoring library

by mlavin Python Version: Current License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | cloudping Summary

cloudping is a Python library typically used in Performance Management, Monitoring applications. cloudping has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

AWS Hosted Uptime Monitoring

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Support

cloudping has a low active ecosystem.

It has 114 star(s) with 25 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cloudping is current.

Quality

cloudping has 0 bugs and 0 code smells.

Security

cloudping has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cloudping code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cloudping is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cloudping releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed cloudping and discovered the below as its top functions. This is intended to give you an instant insight into cloudping implemented functionality, and help decide if they suit your requirements.

Ping an event .

Get all kandi verified functions for this library.

cloudping Key Features

No Key Features are available at this moment for cloudping.

cloudping Examples and Code Snippets

No Code Snippets are available at this moment for cloudping.

Community Discussions

Trending Discussions on cloudping

finding best deployment locations in aws regions

QUESTION

finding best deployment locations in aws regions

Asked 2018-Mar-29 at 09:46

Given we are on aws platform we need to subscribe to different sources of data, which are located around the world. How can we efficiently determine what is the region with lowest latency to some target IP (not our browser)?

There is a service called cloudping which pings from your current browser to aws regions, but this cannot be useful for obvious reasons.

Is there any tool similar to cloudping that such that we could specify what ip we want to ping to?

And a secondary question. I suppose it is possible to spawn instances using aws console api, does amazon have some significant fees if i have a script that spawns a compute instance does some short work and terminates it and does this for every single region? Worst case we could spawn instances on all regions for short amount of time and ping to all destinations we are interested but that would be a lot of work for something rather simple... My assumption is that even within one region you might end up with some instances having significantly better latency than others, a script could spawn instances until the best one is found and terminates others...

UPDATE

It seems it rather easy to spawn instances and execute commands in them, shouldnt be hard to terminate them as well. Here is a good tool for this, now the question is will aws punish me with bills and isn't there already solution for this?

...

ANSWER

Answered 2018-Mar-29 at 09:46

You can certainly launch and terminate Amazon EC2 instances all any region you wish. Amazon will not "punish" you -- the system will simply charge the normal cost for resources you use.

If you launch an Amazon EC2 instance with the Amazon Linux AMI, then the instance will be charged per-second, so the cost will be very low. For example, you could use a t2.micro instance for a few cents per hour (charged per second).

You could then run your own timing test from each region. However, you could probably predict the best performance simply based upon the location of the region (US East, US West, Frankfurt, Sydney, etc).

Also, please note that Ping is not a reliable measure for how your actual application would perform. To obtain the best measure, you should run an application in each region that connects to the 'source of data' you are trying to use. Measure performance as it would be used by your actual application. You might find that the remote service has higher latency than the network, meaning that location would only have a minor impact on performance.

If you use somebody else's timing or somebody else's tool, it will not be as accurate as measuring your actual application doing "real" work.

Source https://stackoverflow.com/questions/49546916

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install cloudping

You can download it from GitHub.
You can use cloudping like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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