Bir Bahadur Khatri

"Running Redis on Windows: Setting Up with WSL" is your step-by-step guide to effortlessly integrating Redis into your Windows environment. Discover how to leverage the Windows Subsystem for Linux (WSL) to run Redis seamlessly, combining the power of Linux with the flexibility of Windows. Whether you’re looking to enhance application performance, manage data more efficiently, or simply expand your tech toolkit, this guide has you covered. Elevate your development game with Redis on Windows today! Dive into the full guide here: https://lnkd.in/d4GrUB9S Authored by: Muhammad Aaliyan Khan, Software Engineer at Qavi Tech Looking to bring innovative ideas like this to life in your IT projects? Get in touch with us! Qavi Tech specializes in cutting-edge development and is always excited to work on interesting, impactful projects. #Redis #Windows #WSL #SoftwareDevelopment #TechTips #Innovation #WebDevelopment

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🚀 Excited to share our latest achievement in optimizing Elasticsearch(OpenSearch)! Our team improved performance by over 50% and saved $800 monthly. 📉 A big shout-out to Rafay Qayyum, Ali Hassnain, and Yasoob Ahmad Babur(myself) for analyzing, testing, and implementing solutions. Your dedication was key! 🌟 Special thanks to Waris Ali and Salman Haider for the support. 🙌 Delving into: 1. Challenges faced with node imbalances and CPU spikes. 2. Investigative approach to find the root cause. 3. Strategic solutions like shard reconfiguration and node optimization. 4. Impressive results: 55% load reduction and $800 monthly cost saving. If you work with Elasticsearch, check out our insights on Medium for optimization tips! ⬇️

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Hear how easy it is to deploy #Hazelcast Platform with Fawaz Ghali, Hazelcast’s Director of Developer Experience. Whether you choose embedded or client-server mode, cloud or Kubernetes, flexible options are available. Watch now! #DevOps #Deployment

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Maltiverse offers a powerful integration with Redis—a high-performance, in-memory data store ideal for caching IoCs in local environments. In this post, we’ll guide you through setting up Redis to cache IoCs from Maltiverse, helping you optimize your cybersecurity infrastructure for handling massive volumes of requests. #cybersec #maltiverse #threatintel #Ioc #redis #threatintelligence #cybersecurity

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Let's explore the unexpected features of cURL - including globbing, parallelization, output formatting, URL parsing and much more https://lnkd.in/du8PPrqA #Programming #DevOps #SysAdmin #Linux

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This guide demonstrates using Terraform's lifecycle meta-argument to ignore changes to parameter values, enabling seamless integration with other processes that modify these values. https://lnkd.in/eK8QYnVv

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Huge shoutout to Boris Cherkasky, our talented Software Engineer, for his incredible session at Tikal 's meetup last week! 🎉 Missed Boris's insightful talk on "Getting Your Kubernetes Costs Under Control: Strategies for Managing and Reducing Kubernetes Costs Effectively"? Catch the full recording here: https://lnkd.in/eeJYKdC5 #FinOps #CloudOptimization #Kubernetes #CloudCostManagement

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Discord switched to Rust after experiencing performance issues with Go's "Read States" service, resulting in faster and more efficient communication. The move addressed latency issues caused by Go's memory model and Garbage Collector, ultimately improving the user experience. Switching to Rust fixed everything. Rust's memory management system allowed them to clear out old cache items instantly, which solved the issue. Rust is a memory-safe, compiled programming language that offers both high-level simplicity and low-level performance. . . . . . . . . . #discord #rust #golang #programming #softaims #softwareservices #developers #webdev #hire #coding #concurrency #performance #efficiency #development #software #communication #latency #speed #tech #technology

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Learn to build rock-solid CI/CD pipelines for cloud-native apps using #Jenkins, #Kubernetes, and #Terraform. Master programmatic control of your entire pipeline through modern APIs. 🔑 Key takeaways: Automate complex workflows Scale your K8s deployments effortlessly Implement GitOps practices

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Mircea, an MLOps Engineer, shares his journey to running Kubernetes nodes under Proxmox despite initial plans to use Ubuntu with K3S. Mircea's experience highlights the practical challenges of DIY cluster computing, including hardware limitations and the complexity of maintaining a clean and efficient environment over time. Watch the full episode: https://lnkd.in/dnz_t_KT

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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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We've added a comprehensive section on leveraging OSS-Fuzz to improve the security and stability of open-source projects to our testing handbook. Learn how to run fuzzing harnesses, extend them, and reproduce crashes.

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Elevate your Kubernetes testing with Playwright and Testkube! 🎭🚀 Learn to run Playwright tests in K8s, visualize results, and streamline your CI/CD pipeline. Perfect for cloud-native e2e testing. Explore now: https://bit.ly/4e75Dq8 #Kubernetes #Playwright #CloudNative #QA

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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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🚀 Introducing Prometheus Optimizer: Maximize Efficiency, Minimize Costs! 💡 We’re excited to unveil Prometheus Optimizer, an open-source tool designed to significantly reduce Prometheus costs while improving performance. If you're looking to streamline your cloud monitoring and cut expenses, this is for you! Check out the full article to learn more about how we’re optimizing Prometheus for cost-effective operations: 🔗 https://lnkd.in/dumWwhYF #cloudmonitoring #costoptimization #DevOps #AngelsCloud #TechInnovation

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