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By Peter Cruz June 02, 2021

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National Geographic Kids Science Lab - Science experiments, videos and articles National Ocean Service (NOAA) Kids - Science activities and resources for kids and educators Lunch Doodles with Mo Willems! - Kennedy Center Education Artist-in-Residence Mo Willems explore ways of writing and making with kids of all ages Scholastic Learn-At-Home Resources - Learning experiences for K-9 Greg Tang Math - Math games and resources for all ages SciShow Kids - Videos explaining scientific concepts for young, curious minds Frontiers for Young Minds - Science articles written by scientists and reviewed by kids The Kid Should See This - STEAM, history, and culture-focused videos for kids of all ages Imagineering in a Box - Lessons on theme park design and engineering via Walt Disney Imagineering, Pixar and Khan Academy BBC Bitesize - Lessons covering math, English, science and more for ages 3-16+ BrainPop - Learning tools covering a variety of subjects BreakoutEDU - Immersive learning g...

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By Peter Cruz November 12, 2020

I wrote about the usage of OpenEBS to manage local storage in Kubernetes in my previous posts: Deploying Percona Kubernetes Operators with OpenEBS Local Storage OpenEBS for the Management of Kubernetes Storage Volumes The primary reason to use the local storage is performance and the logical question is then: How big is the performance overhead if we use OpenEBS to manage the local storage? To look into this I will use sysbench fileio test on the NVMe storage Intel® SSD DC P4610. Direct Storage The command to prepare data: sysbench fileio prepare --file-num=25 --file-total-size=100G --file-extra-flags=direct The command to run test: sysbench fileio run --threads=32 --file-async-backlog=1024 --file-num=25 --file-total-size=100G --file-io-mode=async --file-test-mode=rndrw --file-extra-flags=direct --time=120 --report-interval=1 --file-fsync-freq=0 --file-fsync-end=off This means I will use Async IO to perform read-write IO, using O_DIRECT and by default, sysbench is using 1...

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PostgreSQL 13 is released with some cool features, such as index enhancement, partition enhancements, and many others. Along with these enhancements, there are some security-related enhancements that require some explanation. There are two major ones: one is related to libpq and the other is related to postgres_fdw. As it is known that postgres_fdw is considered to be a “reference implementation” for other foreign data wrappers, all other foreign data wrappers follow their footsteps in development. This is a community-supported foreign-data wrapper. The blog will explain the security changes in postgresq_fdw. 1 – The superuser can permit the non-superusers to establish a password-less connection on postgres_fdw Previously, only the superuser can establish a password-less connection with PostgreSQL using postgres_fdw. No other password-less authentication method was allowed. It had been observed that in some cases there is no password required, so it does not make sense t...

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