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It's impossible to watch a sporting event without gambling ads. But how do these sports betting companies process data in real-time and in regions local to the customer and the data? See how a #Golang #ScyllaDB helper library facilitates these operations. ow.ly/NAuP50VXU8X

Tripadvisor's solution was built using Cassandra on-prem. As their scale increased, so did the operational burden. After running a Proof of Concept with #ScyllaDB, the throughput was much better than Cassandra, and the operational burden was eliminated. ow.ly/esKv50W01JE

With help from Kubernetes, Golang and Kafka, Slack's crontab drives 2,000 tasks an hour. At Monster Scale Summit, Claire Adams explained how Slack was able to transform cron into a distributed job scheduler via @TheNewStack. ow.ly/r1HJ50Vi7ns #ScyllaDB #techtalk

Bluesky uses a mix of SQLite and #ScyllaDB to store data. To help expand your technical knowledge, we show how to build a #Rustlang application that tracks Bluesky user experiences and events. Follow the roadmap here > ow.ly/7o1150VTUug #techtips

How can you implement query-first design to build a #ScyllaDB schema for a sample application? Discord engineer Bo Ingram explains in Chapter 3 of his latest book, ScyllaDB in Action. ow.ly/FlA250VU0rV #NoSQL #datamodeling #database

While DynamoDB fits nicely within the AWS ecosystem and is easy to get started with, challenges arise when you scale. Let's take a look at what aspects your team should consider when deciding whether it's time to shift away from DynamoDB. ow.ly/Q4xG50W9fZE #ScyllaDB

Monster Scale Summit was full of smart people who know how to build and operate systems at scale. If you’re working on systems that need to scale and perform predictably, check out the recap and replays. ow.ly/5PA650VLXR5 #ScyllaDB #Rustlang

💪 Monday motivation: How did Bluesky move off AWS and continue to thrive despite crossing 25 million users and only employing 15 software engineers? Learn how a distributed social network was built and the challenges encountered along the way. ow.ly/gWps50Waa3m #ScyllaDB

Data streaming is the foundation of various ScyllaDB cluster operations. As a result of moving to file-based streaming from mutation-based, less data is streamed over the network and less CPU is consumed, resulting in 25X faster streaming time. ow.ly/7t4F50W6mNC #ScyllaDB

Are your benchmarks accurate? If they aren't, then you're measuring database performance off flawed data. Our June 18 masterclass is designed for developers, engineers, and architects who want a reliable performance testing infrastructure. ow.ly/Qlq950WabbG #ScyllaDB

Whether you’re considering DynamoDB or want a better way to predict pricing, our June 26 webinar will feature a deep dive into how factors like traffic surges, multi-datacenter expansion, and the introduction of caching impact DynamoDB costs. ow.ly/I5Vp50W2zmU #ScyllaDB

ScyllaDB X Cloud can scale up or down within a matter of minutes to meet actual usage, eliminating the need to overprovision for worst-case scenarios or deal with latency while waiting for autoscaling to occur. ScyllaDB buff.ly/PXLaFgP

ScyllaDB X Cloud is here! With architectural enhancements for greater flexibility and lower cost, it is designed to support variable/unpredictable workloads with consistent low latency. Tzach Livyatan explains what this means for our partners. ow.ly/uLLB50WaMjW #ScyllaDB

Implementing low-latency machine learning feature stores at scale remains a challenge. See how @ShareChatapp was able to support 1 billion features per second via The New Stack. ow.ly/TbBH50SRhMn #ScyllaDB #NoSQL #database #techtips

💡 Tuesday tech tip: As workloads scale and business requirements evolve, the drawbacks to DynamoDB become clear. Learn why three teams chose to migrate from DynamoDB. ow.ly/YYn150WaTjY #ScyllaDB

When it comes to moving from a relational to a #NoSQL database like #ScyllaDB, you can now easily avoid some of the bad habits we've seen along the way thanks to Tim Koopmans. Check out what he learned in this blog. ow.ly/7ASM50Utj8n #NoSQL #techtips #database

With Cassandra, Freshworks faced challenges like high tail latencies, administrative burden, and an increase in timeouts anytime traffic surged. Learn how they were able to solve these challenges with a cost effective solution. ow.ly/yqfO50WbF5X #ScyllaDB

It's impossible to watch a sporting event without gambling ads. But how do these sports betting companies process data in real-time and in regions local to the customer and the data? See how a #Golang #ScyllaDB helper library facilitates these operations. ow.ly/NAuP50VXU8X

We built a DynamoDB cost calculator to help developers understand the actual costs of their workloads. Although it's designed for teams comparing DynamoDB to ScyllaDB, it's useful for anyone looking to estimate their costs more accurately. ow.ly/xXBC50WbRgw #ScyllaDB

Taking a proactive approach to tackling latency issues not only improves database performance but also ensures that we're meeting the evolving needs of our users. Here is a technical rundown of how we've solved some of these challenges. ow.ly/TyaE50VZ7ii #ScyllaDB