Of Farm Topologies and Time-Series Data
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Farms are simple. A farm, a building or two, maybe a barn. Done. You’d wish. Monitoring farms and barns is a tedious task. No farm looks like the other and water distribution, next to other elements, has grown generically. A little bit like the good old legacy systems we all love. With the additional complication of keeping track of topology changes, typical building automation systems are out of the scope. See how clevabit integrated neo4j, PostgreSQL and TimescaleDB to bring observability to farms and what I learned along the way. And there were a lot of “this time it works” moments.
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Of Farm Topologies and Time-Series Data
- 1. Of Farm Topologies And Time-Series Data @noctarius2k @timescaledb
- 2. Chris Engelbert Developer Advocacy @TimescaleDB Previous fun companies: - Ubisoft / Blue Byte - Hazelcast - Instana - clevabit Interests: - Developer Relations - Anything Performance Engineering - Backend Technologies - Fairy Tales (AMD / Intel, AMD / Nvidia, AMD / Nvidia) @noctarius2k @noctarius2k@mastodon.online
- 3. What Is A Graph?
- 6. What Is A Time-Series?
- 7. Internet of Things Measurements
- 8. https://www.theatlantic.com/sponsored/thomson-reuters-davos/ensuring-trust-in- fi nancial-transactions-for-the-21st-century/759/ Financial Transactions & Stocks Prices
- 12. How Did I End Up Here?
- 16. How Complicated Can A Farm Be?
- 17. Farm
- 33. barn_id name … parent_id parent_type Barn farm_id name … parent_id parent_type Farm animal_id name … parent_id parent_type Animal order id type parent_id parent_type path EntityHierarchyView entity_id entity_type Data parent_id parent_type Entity ltree extension ltree represents labels of data stored in a hierarchical tree-like structure. Extensive facilities for searching through label trees are provided.
- 37. But Are Farms Really That Simple?
- 40. Farm Barns
- 49. Looks Like An Acyclic Graph 🤔
- 56. It’s Basically Building Automation, Isn’t It?
- 63. https://www.brickschema.org/ Brick Schema The subject is upstream of the object and some media is passed between them. The subject is composed in part of the entity given by the object. The subject has a source of telemetry identi fi ed by the object. feeds: hasPart: hasPoint:
- 64. https://www.brickschema.org/ Brick Schema The subject is upstream of the object and some media is passed between them. The subject is composed in part of the entity given by the object. The subject has a source of telemetry identi fi ed by the object. feeds: hasPart: hasPoint:
- 65. https://www.brickschema.org/ Brick Schema The subject is upstream of the object and some media is passed between them. The subject is composed in part of the entity given by the object. The subject has a source of telemetry identi fi ed by the object. feeds: hasPart: hasPoint: MATCH (e:Equipment)-[:feeds]->(l:Location) WHERE EXISTS { MATCH (l)<-[:has*]-(c:Customer {id: “…”}) }
- 66. What Did We Learn?