Overcoming Barriers of Scaling Your Database
Scaling distributed databases successfully today requires meeting a myriad of challenges. Learn how to navigate both technical ecosystem and database architectural challenges.
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Scaling distributed databases successfully today requires meeting a myriad of challenges. Learn how to navigate both technical ecosystem and database architectural challenges.
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Explore the merits of small clusters and see test results that debunk the concerns some organizations have about using large nodes.
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Learn how leaders like Expedia, Disney+ Hotstar and Fanatics are evolving their data architecture for speed at scale.
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Learn how we configured a petabyte-scale benchmark, results with and without workload prioritization, tips and tricks that might benefit others planning their own petabyte-scale benchmark.
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Take a technical deep dive into database innovations critical for speed at scale (e.g., millions of read/write operations and millisecond P99 response).
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How SecurityScorecard, a global leader in cybersecurity ratings, uses ScyllaDB for a database with low query latency, real-time data ingestion, fault tolerance, and high scalability.
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How ZeroFlucs uses ScyllaDB and Go to offer low-latency data processing in a geographically distributed way, with each customer's data always locally available.
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Practical tips and lessons learned from a variety of real-world DB scaling scenarios that involve databases such as ScyllaDB, PostgreSQL, Cassandra & DynamoDB.
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How India's social media unicorn achieves microsecond P99 latency with 1.2M op/sec – for 180M monthly active users expecting real-time engagement with 2.5B posts per month.
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How ShareChat achieved 5X NoSQL performance w/ 80% cost savings – offering microsecond P99 latency with 1.2M op/sec for 180M monthly active users.
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Scylla Monitoring has been enhanced to be a one stop shop to monitor Scylla. To achieve this, scylla-monitoring now includes a CQL interface and log collection analysis.
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Grab is a “superapp,” an all-in-one app used by tens of millions of users daily across Southeast Asia to shop, hail rides, make payments and order food deliveries. Learn how they're using ScyllaDB.
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7 key considerations that help teams tap the many benefits a DBaaS has to offer — without falling into some of the common traps.
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Krishna Palati and Rahul Gaikwad of FireEye (now Trellix) discuss how ScyllaDB provided a 1000-2000% performance increase for JanusGraph while slashing AWS costs by half.
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FireEye believes in intelligence-driven cyber security. Their legacy system used PostgreSQL with a custom graph database system to store and facilitate analysis of threat intelligence data. As their u
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How Fanatics, official retailer of virtually every major sports league and event, beat Cassandra struggles such as node sprawl, frequent garbage collection pauses, and CPU spikes during compaction.
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An online sports apparel powerhouse, Fanatics has to power an always-on scalable ecommerce site listing wares for over 1,000 vendors, and to track the shopping carts of millions of demanding sports fa
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iFood is the largest Brazilian-based food delivery app company. It connects users, restaurants, and deliverymen using an event-driven architecture using AWS SQS and SNS, with programming in Java and N
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How Rakuten migrated the retail product catalog’s live data processing pipeline from Cassandra without disrupting their 1.5B worldwide members.
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How Amdocs optimizes complex data and AI pipelines for the modern telecom, including diagnostics and predictive analytics.
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