ksm | simple x64 VT-x hypervisor | Infrastructure Automation library

Am facing the following error while trying to decrpyt a cipher string using Google KSM SDK version 1.40.0.

Code used:

What if we have 2 private s3 buckets, one with SSE-KMS named: bucket-kms, one with no encryption: bucket-no-kms.

What is the benefit in security other than the consumer needing the additional KMS permissions? It feels like to me it is giving an additional sanity check, such as if somebody accidentally made bucket-kms public, or you granted access to some other identity, these mistakes would be protected against by also needing access to the KSM key, whereas bucket-no-kms would be exposed. But that isn't really additional security that is merely more difficult to make a mistake.

As far as security benefits the only scenario I can think of is if it were possible for a person to physically gain access to the particular hardware your s3 bucket was using they could read your vanilla data, and that would make a good case to use SSE-.., but again I would assume that this scenario is something AWS protects against in their processies .

I would also assume that the hardware for S3 is only used for that, and that there is no way to read what somebody else wrote to a particular s3 key, after they delete that bucket, so nobody could happen to read your data in an EBS volume by change etc.

I'm aware of other benefits as enable cloudtrail logs on your KMS key to again see who is reading your data, being able to write key policies etc. But is there any other security benefits I am missing other than that of what I have already stated that makes using KMS with s3 inherently more secure? I from my perspective I could still make organizational SCPs or IAM permission boundaries which could achieve these same extra permissions protections, similar to what SSE-KMS gives you.

TLDR;

What I am really asking is if IAM is going to block a hacker from getting to data in my bucket one way or another, what do I need KMS for?

I really tried everything. Surprisingly google has not many answers when it comes to this.

When a certain .csv file is uploaded to a S3 bucket I want to parse it and place the data into a RDS database.

My goal is to learn the lambda serverless technology, this is essentially an exercise. Thus, I over-engineered the hell out of it.

Here is how it goes:

1. S3 Trigger when the .csv is uploaded -> call lambda (this part fully works)
2. AAA_Thomas_DailyOverframeS3CsvToAnalytics_DownloadCsv downloads the csv from S3 and finishes with essentially the plaintext of the file. It is then supposed to pass it to the next lambda. The way I am trying to do this is by putting the second lambda as destination. The function works, but the second lambda is never called and I don't know why.
3. AAA_Thomas_DailyOverframeS3CsvToAnalytics_ParseCsv gets the plaintext as input and returns a javascript object with the parsed data.
4. AAA_Thomas_DailyOverframeS3CsvToAnalytics_DecryptRDSPass only connects to KMS, gets the encrcypted RDS password, and passes it along with the data it received as input to the last lambda.
5. AAA_Thomas_DailyOverframeS3CsvToAnalytics_PutDataInRds then finally puts the data in RDS.

I created a custom VPC with custom subnets, route tables, gateways, peering connections, etc. I don't know if this is relevant but function 2. only has access to the s3 endpoint, 3. does not have any internet access whatsoever, 4. is the only one that has normal internet access (it's the only way to connect to KSM), and 5. only has access to the peered VPC which hosts the RDS.

This is the code of the first lambda:

We're migrating some business logic from Clojure to Java. Currently I'm working on 2 methods, but I have problems with 2nd one.

First one is - I believe - transforming map to vector, but only including values that we provide keys for (and also removing null values).

On Linux.

Hi. I'm sure there are many factors involved where the OS simply garbage-dumps memory allocated with memset() without calling free(), but I was wondering if anyone has a good estimation on this? That's really all I want to know.

There is a functionality in linux called KSM that saves memory space by combining matching data. My question revolves around detecting if KSM is working or not by checking the write time of the data. I have already successfully tested this on a machine while running everything in one program. Now I want to upload to memory, close the program, then open another program and test for memory duplication.

Thanks!

-Taylor

I have pandas data frame like this..

I am trying to develop a multistep webform in Drupal 8 using Webform 8.x-5.1. I have written a WebformHandler that extends Drupal\webform\Plugin\WebformHandlerBase and made it available to the webform.

In the first step of the webform, I collect a text-field. I would like to display the value of that text-field in an HTML element (Advanced HTML/Text or Basic HTML) on the second page after doing some computation.

I have overwritten submitForm() in the WebformHandler and in it assign the value I want to the HTML element as follows:

I have a Prometheus pod running along with my Kube-State-Metrics (KSM) pod. The KSM collects all the metrics from all the pods across all the namespaces in the cluster. Prometheus simply scrapes the metrics from KSM - this way Prometheus doesn't need to scrape the individual pods.

When pods are deployed, their deployment has certain pod-related labels as shown below. They have two important labels: APP and TEAM:

I am trying to debug a huge program not written by me by writing out a large selection of the variables into text files. Some are arrays and some are single values.

The arrays were declared with huge initial sizes due to the code being incomplete and people didn't want to use the allocation method as no one knew how many more things would be added to the code. As a result, if I just straight up print out the entire variable, it would also print out the millions of zeros which I don't need and make the file much larger than necessary.

I searched for a way to write out non-zero elements and another post here had answers pointing to the pack() function.

However, pack() seems to have a size limit since visual studio would not even go into the lines that actually calls pack - visual studio would enter chkstk.asm upon entering the subroutine that writes the variables and return a stack overflow error before executing any of the lines inside the subroutine (the first few lines in the subroutine are just opening file and writing non-array variables).

So, what else can I do to write out all the non-zero elements inside these huge arrays?

The beginning of the subroutine is shown below: