Kafka is a powerful message queue & streaming platform, but we opted for starting with a much simpler solution: Redis Streams. This is how we use Redis Streams as a queue. https://lnkd.in/dPSQTF-F
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Kafka is a powerful message queue & streaming platform, but we opted for starting with a much simpler solution: Redis Streams. This is how we use Redis Streams as a queue. https://lnkd.in/dPSQTF-F
Replacing Kafka with Redis Streams
blog.arcjet.com
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A really nice read from Sai Maddali on the benefits of Tiered Storage with Amazon MSK. https://lnkd.in/gGNJ5nyt #ApacheKafka #Kafka #AWS #MSK #tieredstorage #streaming #storage
Improve Apache Kafka scalability and resiliency using Amazon MSK tiered storage | Amazon Web Services
aws.amazon.com
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Amazon MSK Replicator now supports a new configuration that enables you to preserve original Kafka topic names while replicating streaming data across Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters. Amazon MSK Replicator is a feature of Amazon MSK that lets you reliably replicate data across MSK clusters in the same or different AWS region(s) with just a few clicks.
Amazon MSK enhances cross-cluster replication with support for identical topic names - AWS
aws.amazon.com
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🚀 Tech Talk: Supercharging Your OTT Platform’s Streaming Speed 🎥 Is your OTT platform struggling with buffering issues and slow loading times? Let’s dive into how Node.js, Redis, and AWS can revolutionize your streaming performance: 🔷 Node.js: Leverage its non-blocking I/O and event-driven architecture for efficient request handling and reduced latency. 🔷 Redis: Implement in-memory caching to store frequently accessed data, dramatically cutting down database queries and response times. 🔷 AWS Infrastructure: Utilize services like CloudFront for global content delivery and ElastiCache for seamless Redis integration. The result? Lightning-fast content delivery, improved user experience, and scalability that can handle millions of concurrent streams. 💡 Combine Node.js streams with Redis pub/sub for real-time content updates and personalized recommendations. 🔧 Want to optimize your OTT platform? Let’s connect and discuss how we can turbocharge your streaming service! #nodejs #redis #awsinfrastructure #awscloud #streamingtechnology #performanceengineering
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🚀 Unlocking the Power of Redis: A Game-Changer for Data Management 🚀 In today’s fast-paced digital world, efficient data management is crucial for delivering high-performance applications. That’s where Redis comes in! 🌟 Redis, an open-source, in-memory data structure store, is renowned for its speed and versatility. Whether you’re dealing with caching, real-time analytics, or message brokering, Redis has got you covered. Here are a few reasons why Redis should be on your radar: 🔵 Blazing Fast Performance: Redis operates in-memory, which means data access is lightning-fast. This makes it ideal for applications requiring quick response times. 🔵 Versatile Data Structures: From strings and hashes to lists and sets, Redis supports a variety of data structures, allowing you to choose the best fit for your use case. 🔵 Scalability: Redis can handle millions of requests per second with ease, making it perfect for scaling applications. 🔵 Rich Feature Set: With features like persistence, replication, and Lua scripting, Redis offers robust tools to enhance your application’s capabilities. Curious to learn more? Dive into the world of Redis and see how it can transform your data management strategy! 🌐🔍 https://lnkd.in/dqzvfVnF #Redis #DataManagement #TechInnovation #HighPerformance #Scalability
Quick starts
redis.io
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🚀 Just published a new blog post on Kafka to MSK migration! 🌟 Learn all about migrating your Kafka workloads to Amazon Managed Streaming for Apache Kafka (MSK). Check it out! #Kafka #MSK #DataMigration https://lnkd.in/gshmPU7u
Seamless Streams: Mastering Kafka Migration from EC2 to AWS MSK | TO THE NEW Blog
tothenew.com
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Exciting News! MongoDB has been recognized as a Leader in the Q4 2024 Forrester Wave™: Translytical Data Platforms. According to the report, “MongoDB continues to expand its translytical market share by delivering new capabilities that enhance automation, intelligent memory tiering, and multimodel support, including vector, streaming, analytics, and integrated transactions.” Read about the report to learn what differentiates MongoDB. https://lnkd.in/gVXba7Tj
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If you're interested in using Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming data, you might want to know that we've just published a comprehensive tutorial on connecting Kafka to Kouncil 1.7 via Amazon MSK! We go step-by-step through the process of creating a Kafka cluster and present not one but two ways to hook up Kouncil 1.7 to a Kafka cluster set up on Amazon MSK. Check out our article and see how easy it is to connect these powerful tools! 🔗 https://lnkd.in/dbx7Qeu7 #AmazonMSK #Kouncil #DataStreaming #AWS #Kafka
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Paramount had to master the “art” of scaling to be successful, deploying their streaming platform across multiple cloud regions, and ensuring high availability and resilience during high traffic periods.🙌🏆💻 In his latest blog, Yugabyte expert Denis Magda explores how choosing the right database and design patterns allows you to build applications that tolerate region-level outages, scale, and perform at low latencies across multiple regions.💡 Find out more!⬇️ https://hubs.la/Q02lF52M0 #YugabyteDB #superbowl #distributeddatabase #geodistribution #scaling #resiliance #cloudnative #postgresql
Learn the Art of Scaling Across Multiple Cloud Regions
yugabyte.com
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What makes #Redis fast? What makes #Kafka the standard for event streaming? What makes #SQLite one of the most used databases? You will know the answer to each of these, if you go a little deeper into these technologies by building parts of these systems and truly understand the beautiful engineering behind these amazing systems. The problem is - it is easier said than done. And it is even easier to get demotivated and not doing anything. It becomes really important to follow a structured approach, so you do this effectively without wasting time and maximising learning. One such platform that I really like is CodeCrafters.io (YC S22), and I like it because it makes it really intuitive to build these systems while learning about them in depth. You get instant feedback and pointers to learn more. One thing that stands out is that "IT DOES NOT SPOON FEED" and makes you overcome these challenges on your own, but with enough guidance for you, just like a mentor would do. I have started the "Build your own SQLite" exercise and it is fun. With this, I am happy to announce that I have partnered with them and bringing an exclusive chance to win free one year subscription. If you want to be part of the contest, do the following: 1) Like and repost this post with #TheGeekNarrator hashtag. 2) Use the link https://lnkd.in/e3d8Ncry to signup for free. 3) Two folks (selected randomly) will receive free one year subscription. I will announce the winner in a couple of days. Rest of y'all can still avail a massive 40% discount on this amazing platform and become a better engineer by building real stuff. Excited? Let's GO builders!!! FYI: Following picture tells you about how I love building from scratch. i.e. setting up the dev machine. Disclaimer: I will get money when you subscribe for a paid plan using my link and I will use the money to make my content on The GeekNarrator even better.
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