Arne exoer

Notes on Martin Kleppmann's excellent Designing Data-Intensive Applications.

Chapter 1: Reliable, Scalable, and Maintainable Applications

Data Systems
- Dimensions to consider when thinking about data systems: access patterns, performance characteristics, implementations.
- Modern data systems often blur the lines between databases, caches, streams, etc.
Reliability
- Systems should perform the expected function at a given level of performance, and be tolerant to faults and user mistakes
Fault: One component of a system deviating from its spec. Prefer tolerating faults over preventing them (except for things like security issues). Faults stem from hardware failures, software failures, and human error (in a study, config errors caused most outages).

	-- 1. Install ADB on your computer
	-- 2. adb backup -noapk com.freestylelibre.app.it
	-- 3. Decompress data with zlib support:
	-- printf "\x1f\x8b\x08\x00\x00\x00\x00\x00" \|cat - /tmp/data \|gzip -dc >/tmp/out
	-- 4. go to apps/com.freestylelibre.app.it/f/
	-- 5. open apollo.db and sas.db in a sqlite editor
	-- 6. copy notes.data into sas.db
	-- 7. run this query to have a diary with sensor scans and notes:

	SELECT strftime('%d/%m/%Y %H:%M:%S', datetime(timestampLocal/1000, 'unixepoch')), comment, glucoseValue, fastInsulinDose, slowInsulinDose, foodCarbs, foodType

	version: '3'

	services:
	reverse-proxy:
	image: traefik:v2.0
	container_name: traefik
	command: --api --providers.docker
	ports:
	- "6969:80"
	- "6970:8080"

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