How was elfo transformed into a distributed mesh of services? At #P999CONF, @lapkalab explained the transformation and how they made everything observable and debuggable. #ScyllaDB #Rustlang #lowlatency

PostgreSQL is evolving with vector search extensions like pgvector and At #P99CONF, @benchANT_com's Daniel Seybold explored benchmarks comparing vector search performance across datasets and configurations. #ScyllaDB #PostgreSQL

Even though #P99CONF is over, we want to make sure those low latency talks stay fresh in your mind. Check out our highlights, as well as some behind-the-scenes content that helped make the conference happen. #ScyllaDB #lowlatency #techtalk

How did #Uber improve #P99 latency in third-party APIs? In this #P99CONF on-demand session, Cristian Velazquez shares how they were able to achieve a smoother, more responsive service and improve the user experience. #ScyllaDB

Not everyone knows about #eBPF's ability to monitor, observe, and optimize the performance of systems while they are running. @lizrice, @tanelpoder, and @jrfernandez explained how it can solve different system challenges at our recent #P99CONF. #ScyllaDB

How can you make an open-source time-series database a much faster analytical one as well? @AndreyPechkurov explained how during a #P99CONF session on the journey of making #QuestDB. #ScyllaDB #database

The One Billion Row Challenge was designed to see how fast you could aggregate 1B rows using modern #Java. As @gunnarmorling said, "Wow, this thing really took off!" Learn the tricks used by the fastest solutions during Gunnar's #P99CONF talk. #ScyllaDB

How did @ScyllaDB design a query queue to handle high latency or crashes? Check out #ScyllaDB CTO @avikivity's #P99CONF session to find out! #lowlatency #techtips #NoSQL #database

ShareChat was able to scale its ML Feature Store to handle 1B features per second. But would they be able to cut costs while keeping quality? @isburmistrov and David Malinge explained how at our #P99CONF. Watch it here > #ScyllaDB #lowlatency

At our recent #P99CONF, @TanelPoder did a demo on xcapture, showing #MySQL, #Postgres, and #DuckDB time spent on CPU and in sleep, all without altering source code. Check it out for free here > #ScyllaDB #lowlatency

What does the next chapter in the love-hate relationship between DBs and OSes look like? @andy_pavlo explained how #eBPF could change the game via user-bypass designs for high-performance DBMSs at #P99CONF. Check it out here > #ScyllaDB

Latency, cost, and durability are the triad of cloud storage. We enjoyed @criccomini's breakdown of a theorem for primary persistence on object stores. Check out this technical deep dive today! #P99CONF #ScyllaDB #techtalk

Instead of copying data over into user space, BPF-DB executes many database operations in the kernel itself. @Andy_Pavlo introduced how BPF-DB can be implanted via #eBPF at #P99CONF and @Joab_Jackson weighed in on the talk via @thenewstack. #ScyllaDB

Looking for an excuse to try out #Golang's performance tools? @shraddhaag showed how to tackle @gunnarmorling's 1 Billion Rows Challenge at #P99CONF. If you're keen on #Golang performance tuning, check out this session now! #ScyllaDB

What are the differences between time-series and analytical databases? #QuestDB & #P99CONF speaker @AndreyPechkurov explains the techniques and optimizations they used to handle both efficiently. #ScyllaDB #database #techtips

WebAssembly is revolutionizing cloud computing and at #P99CONF, @ThorstenHans explained how to build serverless apps with Spin, achieving true scale-to-zero, and running them on platforms like #Kubernetes with SpinKube. #ScyllaDB #Wasm #WebAssembly

Fixing real-world problems in #ScyllaDB often leads to valuable lessons learned. At #P99CONF, Patryk Wróbel dove into the way TRIM requests are issued when online discard is enabled for the XFS file system. Watch it on-demand for free here > #lowlatency

By using FALF Interning, LinkedIn cut JVM heap usage by 20% and improved P99 query latencies by 35%. 👀 Vivek Iyer Vaidyanathan explained how they did it at our recent #P99CONF. See it for yourself here > #ScyllaDB #lowlatency

Cloud-native architectures and DBMS can be combined, allowing for resilient, cost-effective, and high-performance systems. Michael Stonebraker, CTO & Co-founder of DBOS explains how in this technical #P99CONF deep dive. Check it out for free > #ScyllaDB

Learn how to use high-performance sketching tools to optimize your services with Senior Software Engineer Yichen Wei. At #P99CONF, Yichen explained how sketching tech can optimize services w/fewer resources. Watch here for free > #ScyllaDB #lowlatency