Distributed Data Systems Masterclass
Learn how to build and manage enterprise-scale distributed data systems with the latest event streaming and distributed database technologies.
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Event Streaming Resources
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Palo Alto Network's Stream Processing – No Message Queue Involved!
How a leading cybersecurity company is correlating millions of records per second from different sensors, in different forms and formats, at one of the world's largest ScyllaDB deployments.
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How Palo Alto Networks Replaced Kafka with ScyllaDB for Stream Processing
Global cybersecurity leader Palo Alto Networks processes terabytes of network security events each day. They analyze, correlate, and respond to millions of events per second– many different types...
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How Level Infinite Implemented CQRS & Event Sourcing for Proxima Beta
How Level Infinite uses ScyllaDB as the state store of the Proxima Beta gaming platform's service architecture.
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Aggregations at Scale for ShareChat — Using Kafka Streams and ScyllaDB
How ShareChat handles the aggregations of a post's engagement metrics/counters at scale with sub-millisecond P99 latencies for reads and writes.
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Sink Your Teeth into Streaming at Any Scale
How to build a low-latency scalable platform for today's massively data-intensive real-time streaming applications using ScyllaDB, Pulsar, and Flink.
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Learn about using ScyllaDB with Kafka at ScyllaDB University
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Building a 100% ScyllaDB Shard-Aware Application Using Rust
Numberly's experience designing and operating a distributed, idempotent, and predictable application 100% based on ScyllaDB's low-level shard-aware topology using Rust.
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Learning Rust the Hard Way for a Kafka + ScyllaDB Pipeline at Numberly
A leading AdTech company's lessons learned transitioning a business-critical data-intensive application from Python to Rust.
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An Odyssey to ScyllaDB and Apache Kafka
Learn why ScyllaDB is a good fit for people using Apache Kafka in event driven architectures and hear customer examples, including usage of ScyllaDB in a high velocity data sharing effort
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Overcoming the Performance Cost of Streaming Transactions
Learn how the Redpanda streaming data platform utilizes modern transactional approaches and pushes the envelope further by adjusting these concepts to the streaming workload.
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Building Event Streaming Architectures on ScyllaDB and Kafka at Numberly
Learn how ScyllaDB and Confluent Kafka interoperate as a foundation upon which you can build enterprise-grade, event-driven applications--with real-world examples.
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FLiP Into Apache Pulsar Apps with ScyllaDB
Learn about the world of Apache Pulsar and how to build real-time messaging and streaming applications with a variety of OSS libraries, schemas, languages, frameworks, and tools against ScyllaDB.
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Understanding Apache Kafka P99 Latency at Scale
🎥 Watch all the P99 Conf 2021 talks here: https://www.p99conf.io/ Apache Kafka is a highly popular distributed system used by many organizations to connect systems, build microservices, create data
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Streaming Data from ScyllaDB to Kafka
Learn how Change Data Capture (CDC) and the Kafka ScyllaDB Connector allows ScyllaDB to provide data streams for use within the Confluent platform.
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Tencent Games’ Real-Time Event-Driven Analytics System Built with ScyllaDB + Pulsar
A look at how Tencent Games built service architecture based on CQRS and event sourcing patterns with Pulsar and ScyllaDB.
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How Numberly Replaced Kafka with a Rust-Based ScyllaDB Shard-Aware Application
Read how Numberly used Rust & ScyllaDB to replace Kafka, streamlining the way all its AdTech components send and track messages (whatever their form).
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How Redpanda built a Distributed Data Streaming Architecture for Modern Hardware with Seastar
Computers now have 1000x faster disks, 100x bigger network pipes and 20x the number of cores than a decade ago. These advances are often wasted on software designs that ignore these revolutionary chan
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How to Use Change Data Capture with Apache Kafka and ScyllaDB
In this hands-on lab, you will learn how to use the ScyllaDB CDC source connector to push the row-level changes events in the tables of a ScyllaDB cluster to a Kafka server.
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Distributed Database Design Decisions for High Performance Event Streaming
In an article earlier this year, I talked about comparing distributed databases in general. All of those considerations remain salient for choosing a database right for your use case. Yet for...
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Learning Rust the Hard Way for a Production Kafka + ScyllaDB Pipeline
Numberly recently transitioned a ScyllaDB+ Kafka data pipeline to Rust. Hear about their risks, rewards & lessons learned.
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