Veritasium - How to Slow Aging (and even reverse it) The idea that we can “slow down” and even “reverse” aging sounds more than a little unbelievable and definitely too good to be true. 1
Still, this video 2 is fascinating. It focuses on the “damaged epigenome” theory of aging, and primarily on the work of a Dr. Sinclair.
It covers a handful of interesting topics, including:
“immortal” jellyfish “longevity” or “repair” genes results from experiments with mice old mice running faster and farther than young and monkeys restored vision to a blind mouse results from experiments with monkeys reduced caloric intake less incidence of sickness, diabetes, etc.
Machine Learning Operations https://ml-ops.org/
This is a website featuring several articles that lay the foundation for the “what”, the “why”, and the “how” of machine learning operations, setting it apart as a discipline distinct from DevOps.
Machine Learning operations maturity model https://docs.microsoft.com/en-us/azure/architecture/example-scenario/mlops/mlops-maturity-model
A rubric for evaluating the maturity of machine learning operations activities at your company.
Books Title Review Edition Author Pub Date Publisher Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications 1st Edition Chip Huyen June 21, 2022 O’Reilly Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps 1st Edition Lakshmanan, Robinson, Munn November 10, 2020 O’Reilly MLOps Engineering at Scale 1st Edition Carl Osipov March 1, 2022 Manning Machine Learning Logistics: Model Management in the Real World 1st Edition Ted Dunning and Ellen Friedman August 23, 2017 O’Reilly Presentations Title Presenter Conference Date MLOps: The Most Important Piece in the Enterprise AI Puzzle Francesca Lazzeri QCon Plus 2022-05-06 Frameworks and Offerings CD Foundation SIG MLOps - MLOps Roadmap MLFlow Rendezvous Architecture CRISP-DM CRISP-ML Vetiver SageMaker Podcasts mlops.
Why did I need to list all resources?
Certain situations require one to be able to list all resources in an AWS
account.
Management recently decided to assign some new responsibilities to my team in a
different part of the organization. We would continue supporting some of our
existing infrastruction, while a different team would take responsibility for
the remainder.
But we needed to start with a list of all the resources in our AWS account to
form the basis of these negotiations.
Neo4j
Set up development server in a docker container
docker run \
--publish=7474:7474 --publish=7687:7687 \
--volume=$HOME/neo4j/data:/data \
--env=NEO4J_AUTH=none \
neo4j
No. In most cases, I don’t think partitioning EBS volumes is necessary.
Why do people ever partition in the first place? Partitioning a drive is useful when:
you have an actual, physical computer in front of you you are planning to attach one or more actual, physical hard disks to that computer you want to apportion that space among the various segments of your filesystem (swap, /home, /boot, etc.) Why is EBS different?
NICE DCV Troubleshooting Context and Symptoms We had been using the boxes and DCV just fine for several days. When we deployed 23 of these boxes this morning, we found that we couldn’t connect to DCV Nobody could connect to NICE DCV. Blank bluish screen. Troubleshooting Attempted Looked at logs, but didn’t find anything helpful: DCV Client Logs: ~/.local/share/nicedcv/loggy-mcloggerson.log DCV Server Logs: /var/log/dcv/server.log Set the log level to DEBUG there was a red herring in there about “certificate not found”, but that was completely unrelated there just didn’t appear to be anything in the output that indicated that anything had gone wrong Decided that it might a problem with an Xserver misconfiguration Xorg Logs: /var/log/Xorg.
Algolia
Algolia is a service that can provide advanced search capability to your static hugo site.
It has a free tier that gives you up to 10,000 search requests per month.