Kevin Gilpin

"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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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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Anti-Complex Kubernetes: Open Source and Cloud Native – October 31 🚀 Platform builders and engineering leaders, this one’s for you! In this deep-dive session, we'll explore strategies to reversing the complexity in Kubernetes. Joining us this episode is Phill Gibson, Sr. Product Manager at Azure. He’ll share insights on what’s working—and what’s not—in the battle against cloud native complexity. 📅 October 31 – mark your calendar! 🔗 https://hubs.ly/Q02VmzPd0 #CloudNative #Kubernetes #DevOps #OpenSource #PlatformEngineering #TechLeadership

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Microservices get a bad rap due to complexity and high TCO. A lot of that is because a microservice-based application works the same way as a bunch of dominoes falling. If one misses, or falls out of order, the whole workflow stops. And you have no control over the process once your microservices start ping-ponging events and RPC's back and forth. That's why #microservices are so expensive to manage. Great blog post below by Colt McNealy about how LittleHorse can solve those problems. Give it a read. https://lnkd.in/gJECBwRu

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🎃The October issue of #CheckpointChronicle is now out 🌟 It covers Ververica's Fluss, #ApacheFlink 2.0, Iggy.rs, Strimzi's support for #ApacheKafka 4.0, tons of OTF material from Jack Vanlightly, Christian Hollinger's write up of ngrok's data platform, nice detail of how SmartNews use #ApacheIceberg with Flink and #ApacheSpark, a good writeup from Sudhendu P. on #ApachePolaris, notes from Kir Titievsky 🇺🇦 on Kafka's Avro serialisers, and much more! https://lnkd.in/djc-HERy

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With the announcement of S3-native-streams (Freight clusters), here is a commentary on Confluent strategy regarding object storage, streaming and an open data architecture. https://lnkd.in/dTg6DKVy

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Boston friends, join me at the InfoQ Dev Summit in Boston next week! Let's delve into the million-dollar lines of code problem and discuss strategies for building cost-effective cloud systems. Looking forward to engaging in insightful conversations with you all. See you there! #InfoQDevSummit #BostonTech #CloudComputing

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Peter, Percona founder and Coroot Co-founder, discusses the common pitfall of over-collecting logs and metrics in Kubernetes environments. He offers two key pieces of advice: 1. Be selective in data collection 2. Utilize efficient storage technologies Peter highlights that some organizations have "almost as much infrastructure supporting collecting and processing telemetry" as their main application, which he finds "absolutely bizarre." He emphasizes that modern systems with data compression and vectorized processing can be "at least 10x more efficient" than older systems for managing Kubernetes logs and metrics. Watch the full interview: https://ku.bz/GMQr-2gvT

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Transform your IAC validation process with VR's OPA Policy Generator. This intuitive tool simplifies the creation of secure, compliant policies for Terraform AWS-based infrastructure, cutting through the complexity of OPA's syntax and making it accessible for all developers and security experts. 🔒✨ #VRModuleSpotlight #OPA #PolicyGenerator #IAC #AWS #AWSPartner #APNProud Amazon Web Services (AWS) AWS Partners

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Considering switching to Bitbucket Cloud? ☁️ Join this webinar tomorrow at 11 am PST to learn how Bitbucket Cloud ties to the rest of the Atlassian platform to help your teams simplify and accelerate delivery workflows. 🌟 Sign up for the webinar: https://go.atlss.in/ra3ao1

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Gadget's internal CI infrastructure has grown super scaled for a company of our size -- we do 160k hours of CI compute per month, or 220 days of compute per day. We really exhaustively test every change we make across all the framework versions so we don't break your shit! Remarkably though, it doesn't cost us that much. We built a custom autoscaler atop Buildkite that uses GCP Managed Instance Groups on spot instances, using t2d nodes which have really remarkable price/performance and really high spot discounts. Can't speak highly enough of t2ds We decided to use plain old VMs instead of k8s because we spin up a full k3s cluster and integration test our distributed filesystem and our serverless function orchestration stack end to end for some tests. It's caught some serious stuff I resent every moment I have to spend working on CI because I'd rather be building product or yammering on to you all, but I'm glad we made this investment because it is 1/50th the cost of our previous "normal" approach and lets us do nutty stuff like exhaustively test the matrix

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Is your observability bill out of control? Are you wasting engineering time trying to justify the cost? There's a better solution… https://hubs.la/Q02PsJZM0 #kubernetes #devops #cloud #observability

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I just updated my first table format comparison blog post to fix some missing details of Apache Hudi. https://lnkd.in/dwSUS6qS

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New Methods for Efficient Finetuning of LLMs!

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✍ "I apologize for such a long letter - I didn't have time to write a short one." This is some times the hardest part of putting together a slide deck for a presentation. In my mind I have a very tight understanding of what I want to present, but when I put it into slides -- trying to cover context, background, motivation, reasons, etc -- the slides balloon. Trying to cut it down and shape it is the most time-intensive part! 👀 Look forward to presenting on platform engineering, service mesh, and modern networking at the InfoQ DevSummit in #Boston next week! See you there! #networking #devops #platformengineering #kubernetes #apis #apigateway #servicemesh #istio #resilience #security #authentication #networkpolicy https://lnkd.in/gAmT_swJ

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Pre-release Apache ActiveMQ 5.18.6 is now in lab testing heading towards release vote. Build results on various OS, JVM, ISA: https://lnkd.in/eKTReQug #ApacheActiveMQ #OpenSource #SoftwareTesting #ReleaseProcess

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