VirtualTam's bookmarks
99 bookmarks found
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- HyperLogLog: the analysis of a near-optimal cardinality estimation algorithm (PDF)
- HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm
- https://agkn.wordpress.com/2012/10/25/sketch-of-the-day-hyperloglog-cornerstone-of-a-big-data-infrastructure/
- Redis new data structure: the HyperLogLog
- https://www.reddit.com/r/programming/comments/21wshj/redis_new_data_structure_the_hyperloglog/
- https://redis.uptrace.dev/guide/go-redis-hll.html
- https://towardsdatascience.com/hyperloglog-a-simple-but-powerful-algorithm-for-data-scientists-aed50fe47869
- https://odino.org/my-favorite-data-structure-hyperloglog/
- http://blog.notdot.net/2012/09/Dam-Cool-Algorithms-Cardinality-Estimation
- https://supabase.com/blog/seen-by-in-postgresql
- https://www.citusdata.com/blog/2017/12/22/distributed-count-vs-hyperloglog/
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The hunt for the cluster-killer Erlang bug
2022-06-16 -
Kafka, Pulsar & RabbitMQ
2021-08-21 Articles by Eran Stiller:
- RabbitMQ vs. Kafka – An Architect’s Dilemma (Part 1)
- RabbitMQ vs. Kafka – An Architect’s Dilemma (Part 2)
Article and StackOverflow response by Lovisa Johansson from CloudAMQP, seem slightly biased towards RabbitMQ:
Benchmarks by Confluent.io (Kafka creator and Cloud Provider), seem heavily biased towards Kafka:
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- https://grafana.com/docs/tempo/latest/getting-started/
- https://grafana.com/docs/tempo/latest/configuration/
- https://github.com/grafana/tempo
- https://grafana.com/blog/2020/10/27/announcing-grafana-tempo-a-massively-scalable-distributed-tracing-system/
- https://grafana.com/blog/2020/11/09/trace-discovery-in-grafana-tempo-using-prometheus-exemplars-loki-2.0-queries-and-more/
- https://grafana.com/go/observabilitycon/observability-with-logs-grafana/
- https://grafana.com/go/observabilitycon/tracing-made-simple-with-grafana/
- https://gouthamve.dev/tempo-a-game-of-trade-offs/
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/r/golang | Learning Distributed systems
2019-09-16 - https://github.com/golang/go/wiki/Courses
- https://dataintensive.net/
- https://columbia.github.io/ds2-class/
- https://github.com/brendandburns/designing-distributed-systems-labs
- https://azure.microsoft.com/en-us/resources/designing-distributed-systems/en-us/
- https://www.distributed-systems.net/index.php/books/distributed-systems-3rd-edition-2017/
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