The Strategy Behind ReversingLabs’ Monster Scale Key-Value Migration
Migrating 300+ TB of data and 400+ services from a key-value database to ScyllaDB – with zero downtime ReversingLabs recently completed the largest migration in their history: migrating more than 300...
View ArticleWhy We Changed ScyllaDB’s Data Streaming Approach
How moving from mutation-based streaming to file-based streaming resulted in 25X faster streaming time Data streaming – an internal operation that moves data from node to node over a network – has...
View ArticleRust Rewrite, Postgres Exit: Blitz Revamps Its “League of Legends” Backend
How Blitz scaled their game coaching app with lower latency and leaner operations Blitz is a fast-growing startup that provides personalized coaching for games such as League of Legends, Valorant, and...
View ArticleA New Way to Estimate DynamoDB Costs
We built a new DynamoDB cost analyzer that helps developers understand what their workloads will really cost DynamoDB costs can blindside you. Teams regularly face “bill shock”: that sinking feeling...
View ArticleIntroducing ScyllaDB X Cloud: A (Mostly) Technical Overview
ScyllaDB X Cloud just landed! It’s a truly elastic database that supports variable/unpredictable workloads with consistent low latency, plus low costs. The ScyllaDB team is excited to announce ScyllaDB...
View ArticleScyllaDB Tablets: Answering Your Top Questions
What does your team need to know about tablets– at a purely pragmatic level? Here are answers to the top user questions. The latest ScyllaDB releases feature some significant architectural shifts....
View ArticleHow ScyllaDB Simulates Real-World Production Workloads with the Rust-Based...
Learn why we use a little-known benchmarking tool for testing Before using a tech product, it’s always nice to know its capabilities and limits. In the world of databases, there are a lot of different...
View ArticleScyllaDB’s Engineering Summit in Sofia, Bulgaria
From hacking to hiking: what happens when engineering sea monsters get together ScyllaDB is a remote-first company, with team members spread across the globe. We’re masters of virtual connection, but...
View ArticleReal-Time Machine Learning with ScyllaDB as a Feature Store
What ML feature stores require and how ScyllaDB fits in as fast, scalable online feature store In this blog post, we’ll explore the role of feature stores in real-time machine learning (ML)...
View ArticleBig ScyllaDB Performance Gains on Google Cloud’s New Smaller Z3 Instances
Benchmarks of ScyllaDB on Google Cloud’s new Z3 small instances achieved higher throughput and lower latency than N2 equivalents, especially under heavy load ScyllaDB recently had the privilege of...
View ArticleWhy DynamoDB Costs Catch Teams Off Guard
From inevitable overprovisioning to the “on-demand” tax: why DynamoDB is bloody hard to cost-control I recently built a DynamoDB cost calculator with the specific goal of helping potential ScyllaDB...
View ArticleScyllaDB Cloud: Fully-Managed in Your Own Google Cloud Account
You can now run ScyllaDB’s monstrously fast and scalable NoSQL database within your own Google Cloud (GCP) accounts We’re pleased to share that ScyllaDB Cloud is now available with the Bring Your Own...
View ArticleHow Yieldmo Cut Database Costs and Cloud Dependencies
Rethinking latency-sensitive DynamoDB apps for multicloud, multiregion deployment “The entire process of delivering an ad occurs within 200 to 300 milliseconds. Our database lookups must complete in...
View ArticleBlowing Up Your DynamoDB Bill
Why real-world DynamoDB usage scenarios often lead to unexpected expenses In my last post on DynamoDB costs, I covered how unpredictable workloads lead to unpredictable costs in DynamoDB. Now let’s go...
View ArticleAlan Shimel and Dor Laor on Database Elasticity, ScyllaDB X Cloud
Alan and Dor chat about elasticity, 90% storage utilization, powering feature stores and other AI use cases, ScyllaDB’s upcoming vector search release, and much more ScyllaDB recently announced...
View ArticleReal-Time Read Database Heavy Workloads: Considerations and Best Practices
Explore the challenges associated with real-time read-heavy database workloads and get tips for addressing them Reading and writing are distinctly different beasts. This is true with reading/writing...
View ArticleHow GE Healthcare Took DynamoDB on Prem for Its AI Platform
How GE Healthcare moved a DynamoDB‑powered AI platform to hospital data centers, without rewriting the app How do you move a DynamoDB‑powered AI platform from AWS to hospital data centers without...
View ArticleWe Built a Tool to Diagnose ScyllaDB Kubernetes Issues
Introducing Scylla Operator Analyze, a tool to help platform engineers and administrators deploy ScyllaDB clusters running on Kubernetes Imagine it’s a Friday afternoon. Your company is migrating all...
View ArticleBeyond Apache Cassandra
ScyllaDB is no longer “just” a faster Cassandra. In 2008, Apache Cassandra set a new standard for database scalability. Born to support Facebook’s Inbox Search, it has since been adopted by tech giants...
View ArticleBe Part of Something Big – Speak at Monster Scale Summit
Share your “extreme scale engineering” expertise with ~20K like-minded engineers Whether you’re designing, implementing, or optimizing systems that are pushed to their limits, we’d love to hear about...
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