micro | 12factor app that expose an http server | Continuous Deployment library

I am looking at https://github.com/pypa/setuptools_scm

and I read this part https://github.com/pypa/setuptools_scm#version-number-construction

and i quote

Semantic versioning for projects with release branches. The same as guess-next-dev (incrementing the pre-release or micro segment) if on a release branch: a branch whose name (ignoring namespace) parses as a version that matches the most recent tag up to the minor segment. Otherwise if on a non-release branch, increments the minor segment and sets the micro segment to zero, then appends .devN.

How does this work?

Assuming my setup is at this commit https://github.com/simkimsia/test-setup-py/commit/5ebab14b16b63090ad0554ad8f9a77a28b047323

and the same repo, how do i increment the version by branching?

I updated some files on main branch.

Then i did the following

I'm experimenting with some options for an endpoint pen-testing lab for a Windows environment, and Docker seems like a pretty light-weight and easily configurable option. However, upon testing Windows Defender within this setup I'm faced with errors and every help thread answer I've found on it has just resulted in more errors. Is running Windows Defender in a docker container not doable?

What I've tried:

Ran a docker Windows container:

We have micro service which consumes(subscribes)messages from 50+ RabbitMQ queues.

Producing message for this queue happens in two places

1. The application process when encounter short delayed execution business logic ( like send emails OR notify another service), the application directly sends the message to exchange ( which in turn it is sent to the queue ).

2. When we encounter long/delayed execution business logic We have messages table which has entries of messages which has to be executed after some time.

Now we have cron worker which runs every 10 mins which scans the messages table and pushes the messages to RabbitMQ.

Let's say the messages table has 10,000 messages which will be queued in next cron run,

1. 9.00 AM - Cron worker runs and it queues 10,000 messages to RabbitMQ queue.
2. We do have subscribers which are listening to the queue and start consuming the messages, but due to some issue in the system or 3rd party response time delay it takes each message to complete 1 Min.
3. 9.10 AM - Now cron worker once again runs next 10 Mins and see there are yet 9000+ messages yet to get completed and time is also crossed so once again it pushes 9000+ duplicates messages to Queue.

Note: The subscribers which consumes the messages are idempotent, so there is no issue in duplicate processing

I can have 4 status ( RequiresQueuing, Queued, Completed, Failed )

1. Whenever a message is inserted i can set the status to RequiresQueuing
2. Next when cron worker picks and pushes the messages successfully to Queue i can set it to Queued
3. When subscribers completes it mark the queue status as Completed / Failed.

There is an issue with above logic, let's say RabbitMQ somehow goes down OR in some use we have purge the queue for maintenance.

Now the messages which are marked as Queued is in wrong state, because they have to be once again identified and status needs to be changed manually.

Let say I have RabbitMQ Queue named ( events )

This events queue has 5 subscribers, each subscribers gets 1 message from the queue and post this event using REST API to another micro service ( event-aggregator ). Each API Call usually takes 50ms.

Use Case:

1. Due to high load the numbers events produced becomes 3x.
2. Also the micro service ( event-aggregator ) which accepts the event also became slow in processing, the response time increased from 50ms to 1 Min.
3. Cron workers follows your design mentioned above and queues the message for each min. Now the queue is becoming too large, but i cannot also increase the number of subscribers because the dependent micro service ( event-aggregator ) is also lagging.

Now the question is, If keep sending the messages to events queue, it is just bloating the queue.

https://www.rabbitmq.com/memory.html - While reading this page, i found out that rabbitmq won't even accept the connection if it reaches high watermark fraction (default is 40%). Of course this can be changed, but this requires manual intervention.

So if the queue length increases it affects the rabbitmq memory, that is reason i thought of throttling at producer level.

1. How can i throttle my cron worker to skip that particular run or somehow inspect the queue and identify it already being heavily loaded so don't push the messages ?
2. How can i handle the use cases i said above ? Is there design which solves my problem ? Is anyone faced the same issue ?

Thanks in advance.

Check the accepted answer Comments for the throttling using queueCount

I'm doing this on esp8266 with micro python and there is a way to clear OLED display in Arduino but I don't know how to clear display in micropython i used ssd1306 library to control my OLED

and this is my error I've written a code that prints on OLED from a list loop, but OLED prints it on the text that was printed before it (print one on top of the other not clear and printing) 7

Ok, I'm totally lost on deadlock issue. I just don't know how to solve this.

I have these three tables (I have removed not important columns):

I'm using an SMS sending service provided by a local mobile carrier. The carrier enforces clients to connect to their datacentre over a VPN in order to reach their endpoints. The VPN tunnel must always be kept open (i.e. not on demand).

Currently, I'm using a micro EC2 instance that acts as middleware between my main production server (also an EC2 instance) and the carrier endpoint.

Production Server --> My SMS Server --over VPN--> Carrier SMS Server

Is there a way to replace my middleware server with an AWS Lambda function that sends HTTP requests to the carrier over an always-on VPN tunnel?

Also, can an AWS Lambda function maintain a static IP? The carrier has to place my IP in their whitelist before I can use their service.

I'm building a Visual Studio extension, which should add my tool button on a ToolBar or ToolStrip.

There are 2 cases:

• first case, add my red button to the toolbar/toolstrip which was added by another extension (Visual Micro), see image 1.

• second case, add my red button to the Properties toolbar/toolstrip of the Visual Studio UI, see image 2.

Image 1:

Image 2:

I tried to implement the second case, but without any positive results.

Here is the code:

I have tried speeding up a toy GEMM implementation. I deal with blocks of 32x32 doubles for which I need an optimized MM kernel. I have access to AVX2 and FMA.

I have two codes (in ASM, I apologies for the crudeness of the formatting) defined below, one is making use of AVX2 features, the other uses FMA.

Without going into micro benchmarks, I would like to try to develop an understanding (theoretical) of why the AVX2 implementation is 1.11x faster than the FMA version. And possibly how to improve both versions.

The codes below are for a 3000x3000 MM of doubles and the kernels are implemented using the classical, naive MM with an interchanged deepest loop. I'm using a Ryzen 3700x/Zen 2 as development CPU.

I have not tried unrolling aggressively, in fear that the CPU might run out of physical registers.

AVX2 32x32 MM kernel:

I'm using godbolt to get assembly of the following program: