HikariCP lifecycle

 Buen post que explica como las conexiones de HikariCP son obtenidos y los posibles mensajes de error que son tirados.

https://medium.com/@rajchandak1993/understanding-hikaricps-connection-pooling-behaviour-467c5a1a1506

https://github.com/brettwooldridge/HikariCP/wiki/Bad-Behavior:-Handling-Database-Down

 

Algorithms and Data Structures for Massive Datasets

Technical Reviewer:

Dzejla Medjedovic, Emin Tahirovic, and Ines Dedovic
MEAP began July 2020 Publication in January 2022 (estimated)
ISBN 9781617298035 325 pages (estimated) printed in black & white

https://www.manning.com/books/algorithms-and-data-structures-for-massive-datasets

netcat - nc

netcat
ncat
nc

-n : skip DNS lookups
-u : Use of UDP mode (instead of TCP)
-v : Extensive output
-w : timeout (seconds)
-z : Port scanner mode (zero I/O mode); only listening services are scanned (no data is sent)

Scan port 123 for NTP:
nc -z -v -u 0.us.pool.ntp.org 123


scan ports:
nc -w 2 -z 192.168.10.1 1-1024

nc -v -n 8.8.8.8 1-1000

Practical C++ Design

Technical Reviewer:

© 2022
Practical C++ Design
From Programming to Architecture
Authors: Singer, Adam B.

https://www.apress.com/us/book/9781484274064

Functional Design and Architecture

Technical Reviewer:

Alexander Granin
MEAP began July 2021 Publication in Early 2022 (estimated)
ISBN 9781617299612 575 pages (estimated)

https://www.manning.com/books/functional-design-and-architecture

Mutually Orthogonal Latin order 10

 A predecessor to Sudoku:

Scientific American Magazine
November 1959
Volume 201, Issue 5

Emi Kasai bases on a Mutually Orthogonal Latin squares (MOLS)

https://en.wikipedia.org/wiki/Mutually_orthogonal_Latin_squares#Euler's_conjecture_and_disproof

http://martin-gardner.org/SciAm12.html

https://www.scientificamerican.com/issue/sa/1959/11-01/ 

Devwebcl's Madness

 Inspired by Scientific American's article.

Miller's Madness

After 33 years:

COMPUTER RECREATIONS
A. K. Dewdney
Scientific American
Vol. 258, No. 5 (MAY 1988), pp. 118-121 (4 pages)

https://www.jstor.org/stable/24989094

AWS Serverless Data Lake Framework

SDLF is a peculiar framework developed by AWS as a Data Lake using their services.

It is interesting how it creates two pipelines where the data is parsed (reduced), process as a big ETL, where finally can be exploited by BI products.

• AWS Glue
• S3
• Lambda
  

https://sdlf.readthedocs.io/en/latest/index.html

https://sdlf.workshop.aws/en/

https://github.com/awslabs/aws-serverless-data-lake-framework

Minimize Costs in Cloud-Based Microservices

Beta tester:

https://www.manning.com/bundles/minimize-costs-in-cloud-based-microservices-ser