SLA, SLO, SLI
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Category: { Dev }
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References:
- Plan your Dataflow pipeline. Google Cloud. Available: https://cloud.google.com/dataflow/docs/guides/plan-pipelines. Accessed 31 Oct 2023.
- McCoy J. SLO Adoption and Usage in Site Reliability Engineering. O’Reilly Online Learning. Available: https://www.oreilly.com/library/view/slo-adoption-and/9781492075370/ch04.html
Summary: As a person who is interacting with data, it is crucial to understand how the data is delivered.
In the engineering realm, engineers are using the terms Service Level Agreements (SLA), Service Level Objectives (SLO), and Service Level Indicators (SLI), to align on the mutual understanding of the system.
In the data world, it is also crucial to read them whenever they are available.
Pages: 3
Idempotence
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Category: { Dev }
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Summary: Data pipelines fails. Just like rebooting a system, a first fix if we don’t spot any obvious error message is to retry.
A secret weapon to make sure retry works is to make our data pipeline idempotent.
Pages: 3
Bloom Filter
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Category: { Dev }
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Summary: Bloom filter returns1
probably yes, or no. element in set element not in set bloom filter returns no ✗ ✓ bloom filter returns probably yes ✓ ✓ How a Bloom Filter Works bytebytego_bloomfilter ByteByteGo. Bloom Filters. In: Real-world Examples - YouTube [Internet]. 6 Sep 2022 [cited 31 Oct 2023]. Available: https://www.youtube.com/watch?v=V3pzxngeLqw ↩︎
Pages: 3