1) Nashville bombing theory. So let’s go with this statement: “AT&T got the contract to do the forensic audit on the Dominion machines. Many are being transported to the Nashville location this week.” 👇

One of my purposes for 2021 is to simplify Docker for beginners.

Let's start with some definitions:

🏠Docker host
⚙️Docker engine
❓ Docker client
📝Dockerfile
📑Docker Image
🐳Docker Container
🐙Docker Compose
🪣 Docker Registry
🐳🐳🐳Docker Swarm

Definitions Below 👇

🏠Docker (Active) Host

A computer with Docker installed and the daemon running.

It can process Docker and non-Docker workloads.

⚙️Docker Engine

A Client-Server application. It has 3 components:

- "daemon process": A server that is a type of long-running program.

- "Rest API": to specify interfaces that programs can use to talk and interact with the daemon.

- "CLI": A command-line interface client

❓Docker Client

It sends commands to dockerd, using the Docker API.
It can communicate with multiple daemons.

📝Dockerfile

It's a text document that contains all the commands a user could call on the command line to assemble an image.

I'm going to tell you a little bit how we work on features at GitHub. It's simple, but very powerful in my opinion. At GitHub we have a high performance culture.

We are deploying changes almost all the time while keeping the service running and the deployment failure ratio needs to be super low! We are constantly working on new medium/big features, we have frequent deploys and required peer reviews.

How do we know that big features are not conflicting with each other in functionality and in version control. How do we merge the work done in these non-trivial features? How do we do prevent peer reviews slow down our productivity?

With basically two things: split the work in small batches and feature flags. We don't have long-lived feature branches. We do very small changes all the time and deploy them.

We could split a feature in tens or hundreds of PRs, but until it is beta or GA, we don't expose it to users by using feature flags.

➡️Found IP address in the Dominion Server,kidnapped in Frankfurt,2020 US elections manipulating actors:
👉Belgrade,Serbia(OSF/Soros)
👉Iran(Edison/BMA)
👉HSBC Bank,Canada(Eric Coomer)
👉DVSCORP(UNICOM China)
👉CTCL(Mark Zuckemberg)
👉Indivisible .org(ACORN,OBAMA Political Group)

1)➡️ Belgrade, Serbia(OSF/Soros)
Esiste un collegamento diretto con Belgrado, in Serbia, e ci sono, o c'erano, numerosi dipendenti Dominion in Serbia. Sempre in Serbia esiste la Open Society Foundation, proprieta' di Soros, che appartiene ad una delle 1/2

5 Fondazioni nell'europa dell'est, facenti capo alla sede madre a Barcellona (stessa citta' della Syct) la sede di Bruxelles per l'advocacy, e le sedi di londra e Berlino per i temi globali. La sede di New York coordina il tutto. 2/2

2)➡️ Dal 2004, in qualità di unico fornitore di dati sui sondaggi del giorno delle elezioni per il National Election Pool, 👉Edison Research ha condotto sondaggi di uscita per proiettare e analizzare i risultati di ogni principale elezione presidenziale US. Edison 1/4

Research fornisce sondaggi di uscita e tabula il voto nazionale in ogni contea degli Stati Uniti per ABC News, CBS News, CNN e NBC News.
I clienti di Edison Research includono Activision,Amazon,AMC Theatres, Apple,Disney,Dolby Laboratories, Facebook,Google,Oracle,The US 2/4