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@faun shared a link, 1 year ago

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How to enhance your application resiliency using Amazon Q Developer

Amazon Qbehaves like a tech-savvy wizard, dialing up app resilience with style. It champions Multi-AZ deployments, elastic scaling, and caching to strengthen AWS fortresses. With a talent forreal-time failure analysisand savvy DR strategies, it transforms basic setups into systems that laugh in the .. read more

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@faun shared a link, 1 year ago

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From manual fixes to automatic upgrades — building the Codemod Platform at Lyft

Lyft's Codemod Platformturns chaos into calm. It converts disruptive updates into a few quick fixes, slashing manual review time for over 100 frontend microservices. Adoption rates rocketed by up to30% in two weeks. They wieldjscodeshiftlike a wizard's wand—transforming multiple languages and integr.. read more

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@faun shared a link, 1 year ago

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CI/CD Implementation for Azure Sentinel Using Terraform

Azure Sentineldeployment now tightens security through CI/CD usingTerraformandAzure DevOps. Say goodbye to those clunky manual setups. Hello, sleek automation... read more

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@faun shared a link, 1 year ago

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Demonstrably Secure Software Supply Chains with Nix

Nixshatters the myth that security demands clunky, air-gapped setups. It's a wizard at crafting reproducible, secure builds without dragging down speed or flexibility. Regulators can rest easy with Nix's "source closure" magic trick: full offline rebuilds and rock-solid supply chain integrity, all w.. read more

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@faun shared a link, 1 year ago

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9 Months Later, Microsoft Finally Fixes Linux Dual-Booting Bug

Microsoftjust dropped the KB5058385 patch and—hallelujah—it solves the nine-month Secure Boot nightmare. But hold your cheers, Linux dual-booters. You're still stuck in no-man's land... read more

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@faun shared a link, 1 year ago

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Linux Foundation debuts Cybersecurity Skills Framework to address enterprise talent gaps

Linux Foundationdrops aglobal Cybersecurity Skills Frameworkto battle the talent drought. It links skills to heavyweights likeDoD Directive 8140... read more

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@faun shared a link, 1 year ago

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AI at Scale: Serverless or Kubernetes?

At Kingfisher, GCP Vertex AI Pipelines and Kubernetes dance together, tackling AI scaling issues with grace.Serverless sounds dreamy until your budget cries uncle under traffic spikes. Kubernetes, though, delivers predictability, a perfect match for Kingfisher's consistent AI tasks... read more

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@faun shared a link, 1 year ago

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1.33: Job's SuccessPolicy Goes GA

Kubernetes v1.33 just unleashedJob success policy GA. Now you can set your own victory conditions for Jobs, which will make life a whole lot easier for AI/ML andHPC workloads... read more

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@faun shared a link, 1 year ago

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Platform Engineering’s Role in Fixing Infrastructure Automation

Platform engineeringfuels DevOps with92% automated checks. It slashes infrastructure drift like crop circles in a hayfield. And83%strike gold with automated, self-serve platforms... read more

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@faun shared a link, 1 year ago

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Announcing Native Azure Functions Support in Azure Container Apps

UnleashAzure FunctionsonAzure Container Appswith the fresh deployment model. Tap into the complete ACA toolkit—auto-scaling magic, no more juggling infrastructure. Transition turbocharges performance, smooths out deployment snags via CLI or Portal. Just set up with"kind=functionapp"and watch simplic.. read more

Levelop is an interview preparation platform designed specifically for working software engineers (typically with 2–6 years of experience) who want to land jobs at top-tier tech companies.

Instead of just handing you endless lists of problems or passive videos to watch, Levelop uses an active, AI-guided approach to help you build the right mental models for tough technical interviews.

Here is how it works:

Two Specialized AI Mentors: * Orion (Coding AI): Instead of just telling you that your code is wrong, Orion steps in when your code fails, maps out where your knowledge gap is, and guides you to fix it yourself.

Aurora (System Design AI): Rather than making you watch a 40-minute video, Aurora has a live conversation with you to explain foundational system design concepts before you even start drawing on the canvas.

Sprint-Based Practice: You practice in structured loops called "sprints," which combine both Data Structures & Algorithms (DSA) and system design problems.

Actionable Feedback Loop: At the end of every sprint, you receive a detailed report. It scores your technical skills, gives you a behavioral profile, and ranks the exact weaknesses you need to focus on during your next sprint.

In short, it is a smart, interactive practice arena that focuses on actively fixing your specific weaknesses rather than just tracking how many hours you spend studying.