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@devopslinks shared an update, 1 month, 1 week ago
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2025's Cloud Native Reality Check: Who's In, Who's Lagging

As of Q3 2025, 56% of backend developers qualify as cloud native, driven by strong adoption of API gateways and microservices, alongside growing use of hybrid (30%) and multi-cloud (23%) deployments across the developer ecosystem.

Cloud Native Report Q3 2025
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@laura_garcia shared a post, 1 month, 1 week ago
Software Developer, RELIANOID

🔐 Preparing for the Post-Quantum Era

Quantum computing is no longer a distant threat — it’s a coming reality that could render today’s encryption obsolete. Post-Quantum Cryptography (PQC) is the next frontier in securing digital infrastructure, and organizations need crypto agility to adapt fast. At RELIANOID, we’re already building fo..

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@varbear shared a link, 1 month, 1 week ago
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Dead framework theory

LLM dev tools keep steering straight into React. System prompts hardwire it. Generated code defaults to it. The result? A feedback loop. Tools crank out React, models get trained on more React, and newcomers inherit the bias. What’s changing:React isn’t just a framework anymore. It’s sliding into in.. read more  

Dead framework theory
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@varbear shared a link, 1 month, 1 week ago
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From web developer to database developer in 10 years

EnterpriseDB is leveling upPostgres Distributed, the spiritual successor topglogical. Now withreplicated DDLandtunable consistencyacross clusters. It's mostly C and Rust under the hood - tight hooks into Postgres internals, with APIs that nod at abstraction but stay close to the core... read more  

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@varbear shared a link, 1 month, 1 week ago
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AI's 70% Problem

Google’s Addy Osmani dropped a stat: AI now writesover 30% of the codeat Google. Impressive. But the hard part - the last 30% - still needs a human brain. That’s where the bugs live:security, edge cases, production wiring. No shortcut. And while AI adoption keeps climbing in greenfield work,trust is.. read more  

AI's 70% Problem
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@varbear shared a link, 1 month, 1 week ago
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The Green Tea Garbage Collector

Go 1.25 drops an experimental GC calledGreen Tea. It flips the script on object traversal - scanning memory pages instead of hopping from object to object. The payoff? Up to40% less GC CPU overheadon real workloads. Bonus: it taps intoAVX-512on newer x86 chips forvectorized scanning. Turns out strea.. read more  

The Green Tea Garbage Collector
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@varbear shared a link, 1 month, 1 week ago
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The state of the Rust dependency ecosystem

A deep dive into 200,650 Rust crates shows a brewing maintenance problem:45% are inactive, andover half of new crates never see a second update- a wild jump from just 1.4% in 2015. Zoom in on the top 1,000 crates, and it gets messier.249 dependencies have been abandoned, and158 are stuck on older ma.. read more  

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@kaptain shared a link, 1 month, 1 week ago
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LinkPro: eBPF rootkit analysis

A new stealth rootkit calledLinkProjust surfaced, taking aim at AWS-hosted Linux boxes. It blends two customeBPF programsfor deep concealment and remote activation via magic packets. The path in?CVE-2024-23897—an RCE on a public Jenkins server. From there, attackers slipped into Amazon EKS clusters,.. read more  

LinkPro: eBPF rootkit analysis
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@kaptain shared a link, 1 month, 1 week ago
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Manage Secrets of your Kubernetes Platform at Scale with GitOps

Learn how to manage secrets with the External Secrets Operator and plug it into Argo CD to power your Internal Developer Platform without manual management, enabling self-service secrets management and secure connections between workload clusters and the control plane. With a chain of trust between .. read more  

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@kaptain shared a link, 1 month, 1 week ago
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Kubernetes with Buildkite: faster, simpler, and ready for scale

Buildkite just added a major revamp of its Kubernetes Agent Stack. Highlights:REST-based config,leaner K8s objects, andhardened security defaults. It handlestens of thousands of concurrent jobswithout breaking a sweat. Shared environment vars cut down pod config noise. Error messages come with full .. read more  

Kubernetes with Buildkite: faster, simpler, and ready for scale
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.