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@varbear shared a link, 5 months, 3 weeks ago
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The Code Review That Cost $2 Million, CodeGood

New data shows only15% of code review comments catch real bugs. The rest? Nitpicks on style, naming, or formatting - stuff linters and AI were made to handle. Human reviews burn through$3.6M a yearin larger orgs and still miss the tough stuff: threading issues, system integration bugs, rare edge cas.. read more  

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@kaptain shared a link, 5 months, 3 weeks ago
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BadPods Series: Everything Allowed on AWS EKS

A security researcher ran a full-blown container escape on EKS usingBadPods- a tool that spins up dangerously overprivileged pods. The pod broke out of its container, poked around the host node, moved laterally, and swiped AWS IAM creds. All of it slipped past EKS’s defaultPod Security Admission (PS.. read more  

BadPods Series: Everything Allowed on AWS EKS
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@kaptain shared a link, 5 months, 3 weeks ago
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Streamline your containerized CI/CD with GitLab Runners and Amazon EKS Auto Mode

GitLab Runners now work withAmazon EKS Auto Mode. That means hands-off infra, smarter scaling, and built-in AWS security. Runners spin up onEC2 Spot Instances, so teams can cut CI/CD compute costs by as much as90%- without hacking together flaky pipelines... read more  

Streamline your containerized CI/CD with GitLab Runners and Amazon EKS Auto Mode
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@kaptain shared a link, 5 months, 3 weeks ago
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Kubernetes GPU Management Just Got a Major Upgrade

Kubernetes 1.34 droppedDynamic Resource Allocation (DRA)- think persistent volumes, but for GPUs and custom hardware. Vendors can now plug in drivers and schedulers for their devices, and workloads can pick exactly what they need. Coming in 1.35: a newworkload abstractionthat speaks the language of .. read more  

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@kaptain shared a link, 5 months, 3 weeks ago
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From Deterministic to Agentic: Creating Durable AI Workflows with Dapr

Dapr droppedDurable Agents- a mashup of classic workflows and LLM-driven agents that can actually get things done and survive rough edges. They track reasoning steps, tool calls, and chat states like a champ. If things crash, no problem: Dapr Workflows and Diagrid Catalyst bring it all back... read more  

From Deterministic to Agentic: Creating Durable AI Workflows with Dapr
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@kaptain shared a link, 5 months, 3 weeks ago
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Implementing assurance pipeline for Amazon EKS Platform

AWS released a full-stack CI/CD validation pipeline forAmazon EKS. It pulls in six layers of testing,Terraform,Helm,Locustload testing, and evenAWS Fault Injectionfor pushing resilience to the edge. The goal: bake policy checks, functional tests, and brutal load tests right into pre-deployment. Fewe.. read more  

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@kaptain shared a link, 5 months, 3 weeks ago
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v1.35: New level of efficiency with in-place Pod restart

Kubernetes 1.35, as you may know, introducedin-place Pod restarts(alpha). It's a real reset: all containers, init and sidecars included - without killing the Pod or kicking off a reschedule. Think restart without the cloud drama. Big win for workloads with heavy inter-container dependencies or massi.. read more  

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@kaptain shared a link, 5 months, 3 weeks ago
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v1.35: Watch Based Route Reconciliation in the Cloud Controller Manager

Kubernetes v1.35 sneaks in an alphafeature gatethat flips the CCM route controller from "check every X minutes" to "watch and react." It now usesinformersto trigger syncs when nodes change - plus a light periodic check every 12–24 hours... read more  

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@kaptain shared a link, 5 months, 3 weeks ago
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1.35: Enhanced Debugging with Versioned z-pages APIs

Kubernetes 1.35 makes a quiet-but-crucial upgrade: z-pages debugging endpoints now returnstructured, machine-readable JSON. That means tools- not just tired humans - can parse control plane state directly. The responses areversioned, backward-compatible, and tucked behind feature flags for now... read more  

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@kala shared a link, 5 months, 3 weeks ago
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The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era

Data engineering’s getting flipped.AI agentsandLLMsaren’t just tagging along anymore - they’re the main users now. That means engineers need to buildcontext-aware, machine-readable data systemsthat don’t just store info but actually make sense of it. Think:vector databases,knowledge graphs,semantic .. read more  

The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era
MultiQoS is a prominent software development company, excels at delivering cutting-edge solutions with a commitment to innovation and client satisfaction at its core. MultiQoS is distinguished by its dynamic team, comprising more than 145+ talented professionals. Within the software development industry, the company has cultivated a sterling reputation as a bastion of innovation and a paragon of customer satisfaction.

Specializing in bespoke software solutions, and mobile app & web development, MultiQoS understands the intrinsic uniqueness of every business. The company's overarching mission is to not merely meet but surpass client expectations. Whether you're a budding startup or an established enterprise, MultiQoS has the acumen to furnish solutions that yield tangible results.

The collaborative efforts of MultiQoS adept developers, designers, and project managers converge to breathe life into your concepts. The company remains at the forefront of technological advancements and adheres to industry best practices, ensuring that the final product is not just robust and scalable, but also user-centric and visually compelling.

MultiQoS believes that successful software development transcends mere code-writing; it's about resolving real-world challenges and empowering businesses to flourish in the digital era. The company is committed to nurturing enduring partnerships with clients, delivering continuous support and maintenance to ensure the sustained peak performance of your software applications.

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