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dorlaor.bsky.social

@dorlaor.bsky.social
53 followers 21 following 5 posts
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ScyllaDB @scylladb.com · 12/05/2025
Our annual #P99CONF brings technologists together to discuss the latest experiments, optimizations, ideas, and lessons learned. If you have an idea or a big problem that you've solved, we invite you to submit your session idea today! www.p99conf.io/2025/05/05/c... #ScyllaDB
p99conf.io
Low-Latency & Performance-Obsessed Engineers: Share Your Insights At P99 CONF
Obsessed with high performance and low latency engineering? Discuss your experiments, optimizations, ideas, and lessons learned with ~30K like-minded engineers... at P99 CONF 2025!
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Reposted by @dorlaor.bsky.social
ScyllaDB @scylladb.com · 28/04/2025
💪 Monday motivation: We kick off our live in India and APAC Monster Scale Summit on April 29, and will be featuring technical sessions from @kelseyhightower.com, @martin.kleppmann.com, @chris.blue , @dorlaor.bsky.social, @avikivity.bsky.social, and more. lp.scylladb.com/monster-scal... #ScyllaDB
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Reposted by @dorlaor.bsky.social
ScyllaDB @scylladb.com · 06/03/2025
How long would it take to summarize all the progress you've made in 10 years? On March 11-12, @dorlaor.bsky.social will look back on the lessons learned from a decade of development at #ScyllaDB, as well as the launch of Scylla X Cloud and our team's focus in 2025. www.scylladb.com/monster-scal...
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Reposted by @dorlaor.bsky.social
ScyllaDB @scylladb.com · 11/03/2025
Day 1 of Monster Scale Summit features 18 highly technical sessions, including keynotes from @kelseyhightower.com, @dorlaor.bsky.social, @gwenshap.bsky.social, @whoisdavid.bsky.social, and @isburmistrov.bsky.social. You can still join us free here > www.scylladb.com/monster-scal... #ScyllaDB
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Reposted by @dorlaor.bsky.social
Andrei Manakov @andection.bsky.social · 24/12/2024
I have got p99 swag pack and I finally assembled my home scyllaDB cluster. Thanks @scylladb.com !
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Reposted by @dorlaor.bsky.social
Andrei Manakov @andection.bsky.social · 18/12/2024
I wrote a new blog post about analysing #ScyllaDB cluster capacity. ScyllaDB is a highly performant database that supports gradual degradation under load. The post might help in understanding its true capacity and reducing server costs to some extent. open.substack.com/pub/andectio...
open.substack.com
ScyllaDB: How To Analyse Cluster Capacity?
Using these recommendations you can reduce your server cost without any latency degradation.
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dorlaor.bsky.social @dorlaor.bsky.social · 15/12/2024
eMTB power www.youtube.com/watch?v=yw86...
youtube.com
Electric rocks
YouTube video by dor laor
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Reposted by @dorlaor.bsky.social
Andrei Manakov @andection.bsky.social · 14/12/2024
The tablets feature of ScyllaDB is very impressive. It simplifies maintenance and looks like a solid foundation for possible autoscaling www.scylladb.com/2024/12/03/e...
scylladb.com
ScyllaDB 2024.2 Introduces New Efficiency & Elasticity via “Tablets” - ScyllaDB
Scaling operations with Tablets are up to 30X faster while reducing network costs by up to 50%
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Reposted by @dorlaor.bsky.social
Jake Gold @jacob.gold · 21/11/2024
@scylladb.bsky.social has joined the party! When we needed a horizontally scalable data store for Bluesky's v2 AppView implementation, I spent a ton of time testing and evaluating every option and ScyllaDB was the clear winner. The people there have been very nice too! github.com/scylladb/scy...
github.com
GitHub - scylladb/scylladb: NoSQL data store using the seastar framework, compatible with Apache Cassandra
NoSQL data store using the seastar framework, compatible with Apache Cassandra - scylladb/scylladb
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dorlaor.bsky.social @dorlaor.bsky.social · 25/04/2024
@jacob.gold cheers for your architecture post: newsletter.pragmaticengineer.com/p/bluesky One option to consider is to keep sqlite data as a 1-2 MB blob (per dataset) in ScyllaDB, this way you can enjoy from free replication and the other properties of Scylla. Others have done it too
newsletter.pragmaticengineer.com
Building Bluesky: a Distributed Social Network (Real-World Engineering Challenges)
Bluesky is built by around 10 engineers, and has amassed 5 million users since publicly launching in February this year. A deep dive into novel design decisions, moving off AWS, and more.
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