Saqib Awan

After over three years of maintaining #JCenter as a read-only repository for legacy #Java packages, JFrog is moving forward with an official sunset of JCenter and redirection of all requests to Maven Central. Learn more about it here: https://lnkd.in/gNyvsZxP

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Today, Nexla joins the Connect with Confluent partner program! Start building Kafka streaming flows today with no-code, and use Nexla to connect any real-time or batch data in any format to Confluent streaming applications. Learn more about our integration with Confluent: https://lnkd.in/gnBvPSrG

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Watch this quick tutorial to learn how to leverage scrapable metrics for Managed MySQL, PostgreSQL, Redis, and Kafka clusters on DigitalOcean. #Database #ApacheKafka

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Developers love Redis because it’s fast. Liftoff uses Redis Cloud as a high-availability, low-latency database, increasing their ROI by improving ad relevance and quality. Hear more about the benefits of their improved ad relevance and quality straight from the director of engineering at Liftoff Mobile. Learn more about Liftoff's soaring ad exchange with Redis Cloud's low latency: https://lnkd.in/gAWBScEk

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Kafka-compatible data streaming should not be expensive or complicated. WarpStream is used in diverse production environments. Create your free account and get $400 in credits that never expire at https://lnkd.in/g_nUnb7x

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Whether you're handling millions of requests per second, managing live chats, or running a high-speed leaderboard, Redis operates entirely in memory, making it incredibly fast. 🚀 Redis excels in real-time performance and in-memory operations for blazing-fast caching, messaging, and more. But Redis is just the beginning! 🌊 In my latest video, I explore 6 other lesser-known databases that can transform your projects, from handling complex relationships to AI-driven vector searches. Don't limit your tech stack—discover these powerful tools. Check out the video here: https://lnkd.in/dE7_dP_A #Databases #UncommonDatabases #Redis #ArjanCodes

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🚀 Discover how we optimized a high-scale application from infrastructure to code using load testing with K6! 💻 Whether you’re managing Kubernetes, Kafka, or Postgres, learn why testing in production with real data is crucial. Check out the latest blog post by our very own David Abrams: https://lnkd.in/d5a8VBiJ #LoadTesting #Kubernetes #DevOps #PerformanceOptimization #K8s #K6 #Kafka #Postgres

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Migrating Bitbucket to the cloud can come with challenges, so it's best to prepare for negative encounters. Explore the challenges, best practices, and expectations of migrating Bitbucket Server to Bitbucket Cloud in this vlog from SPK’s experts, Edwin Chung and Michael Roberts. The two detail their experience with Bitbucket Migrations in the past, preparing you for the future! ⏩ https://lnkd.in/dht98Eiz #Bitbucket #BitbucketServer #BitbucketCloud #Cloud #ServerToCloud #Migration #CloudMigration

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Explore the Power of Redis Released 2024 on August 23rd. It is an opportunity to connect with Redis experts, dive into the product roadmap & learn from top brands how real-time technology is shaping the future of app development. Learn more. https://lnkd.in/dcwJXrzJ #Event #EventAlert #technology #DailyDose #FollowUs #StayTuned #StayConnected #trending #trendingnow #trendingpost #explore #explorepage #TechDogs

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🚀 Ready to deploy apps on K8s with KubeBlocks? 🛠️ Volume 3 is now available! Learn how to deploy production-ready AIGC applications on K8s with PostgreSQL, Redis, and Qdrant operators from KubeBlocks. 👉 Dive in: https://lnkd.in/gsywDjHr #Kubernetes #Dify #PostgreSQL #Redis #Qdrant

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💡 Optimizing Costs with Dragonfly: A Technical Breakdown 💻 For technical teams looking to maximize performance while minimizing cloud infrastructure costs, Dragonfly offers significant advantages. By cutting down memory overhead, leveraging CPU-specific optimizations, and using a shared-nothing architecture, Dragonfly is designed to be resource-efficient while maintaining high throughput. Whether you’re scaling horizontally or aiming to optimize performance, Dragonfly can help you reduce operational costs without sacrificing speed. In this blog, we break down the technical strategies that Dragonfly uses to cut costs and improve efficiency. 🔗 Read more here: https://hubs.la/Q02RDNVr0 #CloudOptimization #TechEfficiency #DevOps #DatabasePerformance #Dragonfly#CostReduction

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Struggling with legacy and new VM workloads? We’ve got you covered on how to seamlessly run VM workloads on Kubernetes. Watch this on-demand webinar as our senior solution architect, Kevin Ng, shows you how easy it is to run VM workloads on Kubernetes with KubeVirt, featuring real world use cases and a demo. Watch the video now! https://bit.ly/3zrNlk1

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From Blocks and Files: "... tests show that Redis is faster for vector database workloads compared to any other vector database tested, at recall >= 0.98. Redis has 62 percent more throughput than the second-ranked database for lower-dimensional datasets (deep-image-96-angular) and has 21 percent more throughput for high-dimensional datasets (dbpedia-openai-1M-angular)." https://lnkd.in/grzurc7R

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📢 Big News in the Kafka Ecosystem! 📢 Confluent has acquired WarpStream for $220M, just 13 months after its launch. This isn’t only a business milestone—it’s a huge technical advancement for Kafka users and cloud-native architecture. Here’s what makes WarpStream’s approach groundbreaking and how Registfy can help businesses leverage it on AWS: 🔹 Diskless Kafka Architecture with S3 WarpStream redefined the Kafka-API with a cloud-native, diskless architecture using S3 as storage. By eliminating disks, they achieved massive cost savings and operational simplicity, resonating deeply in the DevOps and cloud solutions world. 🔹 Incredible Cost Savings & Operational Efficiency WarpStream’s design is 10x cheaper than unoptimized Kafka clusters and 4x cheaper than optimized deployments. For high-throughput use cases, this can mean savings in the millions:     Unoptimized Kafka: ~$5.25M     Optimized Kafka: ~$2M     WarpStream: ~$500k 🔹 Latency Trade-Offs for High-Volume Workloads With a latency of 400ms (p99 writes) and 1 second end-to-end, WarpStream’s approach works best for high-volume, latency-insensitive workloads. Many customers are willing to trade latency for such remarkable cost benefits. 💡 Key Insight from WarpStream By focusing on high-volume, latency-insensitive workloads, WarpStream delivers incredible cost-effectiveness—revolutionizing how businesses might consider their Kafka deployments. 🚀 How Registfy Can Help As an AWS Advanced Partner specialized in DevOps and cloud solutions, Registfy is uniquely positioned to help businesses implement cost-efficient, scalable Kafka architectures on AWS. With WarpStream’s acquisition by Confluent, this opens new opportunities for customers seeking optimized cloud-native solutions. Let’s discuss how to make your Kafka workloads more affordable and scalable. #Kafka #CloudNative #CostEfficiency #Confluent #WarpStream #AWS #Registfy #DevOps #TechInnovation

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🚀 Redis vs. DragonflyDB: Cluster Design Comparison 🛠️ For developers and tech leaders looking to optimize database performance, understanding the key differences between Redis and Dragonfly cluster architectures is critical. While Redis relies on a traditional sharding and replication approach, Dragonfly introduces a more efficient, shared-nothing design with dynamic scaling and simplified cluster management. This means easier operations, better performance under heavy loads, and more streamlined scaling. In this deep dive, we compare the two approaches in detail and highlight how Dragonfly’s architecture can boost your system’s reliability and efficiency. Check out the full comparison here: https://hubs.la/Q02RDGKt0 #DatabaseScaling #Redis #Dragonfly #TechLeadership #DeveloperCommunity #CloudComputing #DataArchitecture

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Have you heard about Kyverno? It's a powerful policy engine designed specifically for Kubernetes. With Kyverno, you can: - Validate, Mutate, and Generate - Kubernetes resources effortlessly. - Secure your software supply chain by verifying OCI image signatures and artifacts. - Manage policies using familiar tools like `kubectl`, `git`, and `kustomize` - no need to learn a new language! Kyverno integrates seamlessly into your CI/CD pipeline, ensuring compliance, security, and automation at every step. 🌟 Check it out on GitHub: [Kyverno](https://lnkd.in/dguXtbFP)   Learn more: [Kyverno.io](https://kyverno.io/) #Kubernetes #DevOps #CloudNative #PolicyManagement #Kyverno 🔗 Let's connect and discuss how Kyverno can enhance your Kubernetes workflows!

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Want to get the most out of Flink on Kubernetes? We've got you covered! In this on-demand recording, our own Lior Friedler shares how to: 👉 Tailor Flink to Kubernetes for optimal performance. 👉 Allocate and manage resources like a pro. 👉 Overcome common Flink on Kubernetes challenges. 👉 Leverage Kubernetes for effortless Flink rollouts. Watch the recording now! ➡️ https://ow.ly/WVX450RqaIp #Flink #Kubernetes #K8s #DataEngineering

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PostgreSQL locks aren’t about security, they’re about keeping transactions in harmony, like an orchestra playing in sync. From more-permissive ACCESS SHARE to more-restrictive ACCESS EXCLUSIVE, each lock mode has its part to play. This blog takes you through the nuances of MVCC design, the Postgres lock queue, table-level locks, and why DDL commands demand stronger locks that can block reads and writes. We’ve all seen how a long-running query or poorly timed schema change can grind everything to a halt. Learn how to manage lock queues, use lock_timeout effectively, and avoid common mistakes like mixing strong-lock commands in the same transaction. Read the blog: https://lnkd.in/eDHpU9i9

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VPC with zone subnets, alb, nat and igw https://lnkd.in/gZxkgdBx

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