#dragonflydb результаты поиска
Redis vs Dragonfly Performance (Latency - Throughput - Saturation) #redis #dragonfly #dragonflydb #devops youtu.be/DgcBFb4L0dI
I was trying to understand the sequence of command execution flow in #DragonflyDB and then I asked #AI to create the diagram
I f*****g thanked the AI :) times are changing. - I am building a web frontend (PDF with text overlay) - AI is writing all the code, I am not writing a single line - the generated code had overlay alignment issues - a pretty complex issue, tbh. - kept prompting AI to fix,…
🚀 Exciting News! Dragonfly is heading to AWS Summit Bengaluru on May 7-8! 🎉 Join us at Booth S13 to discover how Dragonfly can supercharge your application performance and slash your data infrastructure costs. See you there! #AWSSummit #DragonflyDB #NotRedis
Guess when @TheSharpApp switched to Dragonfly! Read the story here: hubs.la/Q03lmxV30 #DragonflyDB #CaseStudy #Redis #Valkey
Breaking #Redis limitations one benchmark at a time! Hear on the Data Engineering Podcast how our CTO @romanger built the ultimate in-memory data store with #DragonflyDB. Spoiler: It's blazing fast, and your wallet will thank you! dataengineeringpodcast.com/episodepage/dr…
In a recent article published by @BigBinary's software engineer Sandip Mane, they benchmarked different caching solutions for #Rails, comparing @Redisinc with alternatives like #Valkey, #DragonflyDB, #DiceDB, and SolidCache using PostgreSQL and SQLite3.
Dragonfly Unveiled 🚀 Amit Kalash in conversation with Avi Bharadwaj at #KubeConHyderabad2025 on Next-Gen In-Memory Stores. What makes Dragonfly different? 🐉 Amit dives into its architecture & unique value for modern enterprises. #DragonflyDB #InMemoryStore #alyssumglobal
Valley, #DragonflyDB, and Microsoft Garnet are #Redis alternatives, but which option will work for you? @Percona founder @PeterZaitsev will examine the features and performance of each during a free #P99CONF session. Don't miss it! ow.ly/REFV50TeeJC #ScyllaDB #database
Scaling challenges? Cost concerns? Our CTO @romanger breaks down how #DragonflyDB solves these #Redis pain points on the latest #DataEngineeringPodcast episode. Your applications deserve better performance. dataengineeringpodcast.com/episodepage/dr…
In a highly anticipated #P99CONF session, @Percona's @PeterZaitsev will examine #Redis alternatives like Valley, Redix, #DragonFlyDB, KeyDB, Microsoft Garnet, and Redka. Don't miss this unbiased deep dive that starts in 10 minutes. 💡 ow.ly/VSkj50TSvJr #ScyllaDB
Do your customers ever complain of seeing the same ad over and over? Our latest blog demonstrates how Dragonfly improves the user experience with precise frequency capping. Learn more: dragonflydb.io/blog/stop-ad-f… #AdTech #DragonflyDB
Stop bombarding users with the same ads! Our new blog explains how Dragonfly’s native rate limiting helps #AdTech companies balance ad frequency without sacrificing performance. Check it out: dragonflydb.io/blog/stop-ad-f… #DragonflyDB
That is a pretty good post from Redis (@redisfeed) comparing Redis 7 with DragonFlyDB (@dragonflydbio) They expose some problems and thoughts they learned from the last 13 years. 100% recommendable. redis.com/blog/redis-arc… #redis #dragonflydb
🚀 Understanding feature stores with Feast: dive into the dual-layer architecture of offline and online stores and why they matter for real-time ML applications. Discover more in our latest blog! hubs.la/Q03mPk_00 #AI #DataInfrastructure #DragonflyDB #MachineLearning
dragonflydb.io
Feature Stores: Architecture and Online/Offline Storage
Explore feature store fundamentals: architecture and offline/online storage options—the essential concepts before hands-on deployment.
Tired of #Redis limitations? Dragonfly Cloud is now on #Azure, offering a multi-threaded architecture that can handle hundreds of GBs and millions of requests per second on a single instance. Learn more in our launch blog. hubs.la/Q03mPpvH0 #DragonflyDB #CloudComputing
💡 Why separate offline and online storage in a feature store? Because training and serving need different requirements! Learn how Dragonfly boosts real-time model serving with unmatched performance. hubs.la/Q03mPfYX0 #AI #DataArchitecture #DragonflyDB #MachineLearning
dragonflydb.io
Feature Stores: Architecture and Online/Offline Storage
Explore feature store fundamentals: architecture and offline/online storage options—the essential concepts before hands-on deployment.
What if 1M QPS didn't require 15 instances? What if scaling wasn't a bottleneck—but a checkbox? The answer's simpler than you think! @dreamsofcode_io reveals it in the latest video. youtu.be/uptpnVdwFM4 #Database #DragonflyDB #Redis #Valkey
youtube.com
YouTube
There's more than one way to scale Redis/Valkey to 1M op/s...
🤔 Ever wondered how geospatial indexes are built? Our latest blog breaks down how Dragonfly powers geospatial commands with high-performance sorted sets. 📖 Read the deep dive! hubs.la/Q03ByZLf0 #DataStructures #Geospatial #DragonflyDB
Dragonfly Unveiled 🚀 Amit Kalash in conversation with Avi Bharadwaj at #KubeConHyderabad2025 on Next-Gen In-Memory Stores. What makes Dragonfly different? 🐉 Amit dives into its architecture & unique value for modern enterprises. #DragonflyDB #InMemoryStore #alyssumglobal
🤔 Ever wondered how geospatial indexes are built? Our latest blog breaks down how Dragonfly powers geospatial commands with high-performance sorted sets. 📖 Read the deep dive! hubs.la/Q03ByZLf0 #DataStructures #Geospatial #DragonflyDB
Moving data efficiently between systems is far from trivial until you have @AirbyteHQ. Learn step-by-step how to optimize performance and reduce database load by syncing your data to Dragonfly: hubs.la/Q03vFVfL0 #Airbyte #DragonflyDB #Database #OpenSource
.@abusix crushed their #Redis bottleneck by moving to Dragonfly Cloud with a 15x performance gain, 40% less memory usage, and an only 2-day migration (seriously). Their threat detection algorithm now doesn’t even break a sweat hubs.ly/Q03qWdPW0 #DragonflyDB #DataMigration
🚀 Understanding feature stores with Feast: dive into the dual-layer architecture of offline and online stores and why they matter for real-time ML applications. Discover more in our latest blog! hubs.la/Q03mPk_00 #AI #DataInfrastructure #DragonflyDB #MachineLearning
dragonflydb.io
Feature Stores: Architecture and Online/Offline Storage
Explore feature store fundamentals: architecture and offline/online storage options—the essential concepts before hands-on deployment.
Tired of #Redis limitations? Dragonfly Cloud is now on #Azure, offering a multi-threaded architecture that can handle hundreds of GBs and millions of requests per second on a single instance. Learn more in our launch blog. hubs.la/Q03mPpvH0 #DragonflyDB #CloudComputing
💡 Why separate offline and online storage in a feature store? Because training and serving need different requirements! Learn how Dragonfly boosts real-time model serving with unmatched performance. hubs.la/Q03mPfYX0 #AI #DataArchitecture #DragonflyDB #MachineLearning
dragonflydb.io
Feature Stores: Architecture and Online/Offline Storage
Explore feature store fundamentals: architecture and offline/online storage options—the essential concepts before hands-on deployment.
Real-time sports betting analytics just got faster! See how @TheSharpApp slashed service latency from 200ms to 30ms by migrating to Dragonfly. Read the full case study here: hubs.la/Q03lmH440 #DragonflyDB #SportsBetting #CaseStudy
dragonflydb.io
Case Study: Sharp App Boosts Sports Betting with Dragonfly
Sharp App cut latency by 85% & boosted throughput with Dragonfly, replacing Redis for real-time sports betting analytics. Read their success story!
The #Redis license drama shows why #DragonflyDB chose BSL from day 1. While Redis pivots again with 8.0, we’ve maintained consistent licensing without trust issues. No drama here. Just innovation. Read our take on the Redis rollercoaster: hubs.la/Q03lmGDZ0 #OpenSource
dragonflydb.io
Redis 8.0 Lands: New Features and More License Drama
Redis 8.0 introduces vector sets and returns to open source with AGPL, but can it rebuild trust? We analyze the licensing and technical upgrades in this blog post.
The #Redis license drama had an unexpected outcome—it made everyone in the space better. Forks like #Valkey and replacements like #DragonflyDB have been beating Redis in benchmarks. Now Redis is trying to catch up with 8.0. Read more here: hubs.la/Q03lD1ZC0 #OpenSource
dragonflydb.io
Redis 8.0 Lands: New Features and More License Drama
Redis 8.0 introduces vector sets and returns to open source with AGPL, but can it rebuild trust? We analyze the licensing and technical upgrades in this blog post.
Guess when @TheSharpApp switched to Dragonfly! Read the story here: hubs.la/Q03lmxV30 #DragonflyDB #CaseStudy #Redis #Valkey
🚀 Exciting News! Dragonfly is heading to AWS Summit Bengaluru on May 7-8! 🎉 Join us at Booth S13 to discover how Dragonfly can supercharge your application performance and slash your data infrastructure costs. See you there! #AWSSummit #DragonflyDB #NotRedis
What if 1M QPS didn't require 15 instances? What if scaling wasn't a bottleneck—but a checkbox? The answer's simpler than you think! @dreamsofcode_io reveals it in the latest video. youtu.be/uptpnVdwFM4 #Database #DragonflyDB #Redis #Valkey
youtube.com
YouTube
There's more than one way to scale Redis/Valkey to 1M op/s...
Do your customers ever complain of seeing the same ad over and over? Our latest blog demonstrates how Dragonfly improves the user experience with precise frequency capping. Learn more: dragonflydb.io/blog/stop-ad-f… #AdTech #DragonflyDB
Stop bombarding users with the same ads! Our new blog explains how Dragonfly’s native rate limiting helps #AdTech companies balance ad frequency without sacrificing performance. Check it out: dragonflydb.io/blog/stop-ad-f… #DragonflyDB
We're featured on the #DataEngineeringPodcast discussing our shared-nothing architecture and how it delivers incredible performance gains over #Redis. Listen for a technical deep dive with @romanger: dataengineeringpodcast.com/episodepage/dr… #DragonflyDB
Breaking #Redis limitations one benchmark at a time! Hear on the Data Engineering Podcast how our CTO @romanger built the ultimate in-memory data store with #DragonflyDB. Spoiler: It's blazing fast, and your wallet will thank you! dataengineeringpodcast.com/episodepage/dr…
Memory efficiency is key to our success. Don't miss our co-founder @romanger discussing #DragonflyDB's innovative architecture on the #DataEngineeringPodcast. Learn how we maintain #Redis compatibility while pushing performance boundaries: dataengineeringpodcast.com/episodepage/dr…
Scaling challenges? Cost concerns? Our CTO @romanger breaks down how #DragonflyDB solves these #Redis pain points on the latest #DataEngineeringPodcast episode. Your applications deserve better performance. dataengineeringpodcast.com/episodepage/dr…
Just dropped! Our co-founder @romanger reveals on the #DataEngineeringPodcast how #DragonflyDB crushes #Redis performance at a fraction of the cost! This is the game-changer you've been waiting for. dataengineeringpodcast.com/episodepage/dr…
Hooray! Thanks so much! We've surpassed 27,000 stars on GitHub today! github.com/dragonflydb #github #dragonflydb
Redis vs Dragonfly Performance (Latency - Throughput - Saturation) #redis #dragonfly #dragonflydb #devops youtu.be/DgcBFb4L0dI
Without data tiering: 1. 1220K ops/s with the same traffic 2. used_memory_rss_human:2.99GiB Data tiering for this traffic provides x6 memory reduction. 🚀🚀 #dragonflydb #innovation
Wow! We've reached an incredible milestone of 26K stars on #GitHub! A huge thank you to everyone! hubs.la/Q02ZJ4py0 #Dragonflydb
When #Redis was invented, @netflix still sent DVDs. Data demands have evolved dramatically since then—and so must your infrastructure. Companies like @PingCAP & @neondatabase lead the way. Read our latest blog for predictions: dragonflydb.io/blog/the-futur… #DragonflyDB
Data creation is exploding at 1.7MB of data per person PER SECOND. Legacy infrastructure can't deliver real-time experiences cost-effectively. Modern systems like @ScyllaDB and @ClickHouseDB help businesses stay competitive. How are you modernizing? #DragonflyDB
Breaking #Redis limitations one benchmark at a time! Hear on the Data Engineering Podcast how our CTO @romanger built the ultimate in-memory data store with #DragonflyDB. Spoiler: It's blazing fast, and your wallet will thank you! dataengineeringpodcast.com/episodepage/dr…
Learn how to use Redis Lists and DragonflyDB to build a marketing automation system with asynchronous task processing in our latest blog post: dragonflydb.io/blog/building-… #RedisLists #DragonflyDB #BackgroundProcessingPipeline
Why pay 80% more a month for #ElastiCache when you can get 25x the performance for a fraction of the cost with Dragonfly Cloud? Start your free trial. dragonflydb.io/aws #DragonflyDB
Speed up your application with DragonflyDB! Learn how to use Redis Lists to build a background processing pipeline with our step-by-step guide: dragonflydb.io/blog/building-… #DragonflyDB #RedisLists #BackgroundProcessing #Golang
Hardware, cloud, and apps have all evolved. Has your data infrastructure? Modern data systems must scale, be resilient, and deliver speed. Without these capabilities, you can’t provide the real-time experiences users expect. What’s your biggest scaling challenge? #DragonflyDB
When #Redis was invented, the iPhone was new, Blockbuster was still around, and IE had 63% market share. Hardware, cloud, and apps have all evolved since then. Has your data infrastructure? #DragonflyDB #DataInfrastructure dragonflydb.io
W00t an amazing start! #Dragonfly just hit the 10K GitHub stars milestone. #dragonflydb dragonflydb.io/blog/2022/08/1…
Guess when @TheSharpApp switched to Dragonfly! Read the story here: hubs.la/Q03lmxV30 #DragonflyDB #CaseStudy #Redis #Valkey
🚀 Exciting News! Dragonfly is heading to AWS Summit Bengaluru on May 7-8! 🎉 Join us at Booth S13 to discover how Dragonfly can supercharge your application performance and slash your data infrastructure costs. See you there! #AWSSummit #DragonflyDB #NotRedis
Scaling challenges? Cost concerns? Our CTO @romanger breaks down how #DragonflyDB solves these #Redis pain points on the latest #DataEngineeringPodcast episode. Your applications deserve better performance. dataengineeringpodcast.com/episodepage/dr…
Migrate from #ElastiCache to Dragonfly Cloud and experience up to 25X faster performance while cutting your bill up to 80%. You can deploy to any #AWS region and pay through the AWS Marketplace. Try Dragonfly Cloud free today. dragonflydb.io/aws #DragonflyDB
Dragonfly Cloud delivers 25x more throughput than #Redis. Cut costs and boost performance with our #AWS-native data solution. Learn more: dragonflydb.io/aws #DragonflyDB
I have been using @realkeydb for a while now and have been quite happy with the results. Recently stumbled upon the new @dragonflydbio, very promising benchmarks in larger environments. Will be trying this out to see if it improves on performance and crashes 🤔#dragonflydb #keydb
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