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ContentUpdates and recent posts about Google Kubernetes Engine (GKE)..
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Paid Acquisition and Growth Marketing, xygeni

When AI Became Part of the Attack Surface

AI is now a core execution layer in software delivery. In 2025, attackers exploited automation, trusted pipelines, and AI-generated code instead of vulnerabilities. This report explains why traditional AppSec signals failed and what must change in 2026.

New AppSec Attack Trends for 2026 - Promo Redes (3)
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How to Plan a Product Release in Jira

From the Release Hub and backlog management to automated release notes, Jira has plenty of tools to help you plan your next release. In this blog post, we explain how to use these tools effectively for different release types. You will also get practical tips for extending the native Jira release planning capabilities with additional apps. Let’s dive in!

Zrzut ekranu 2026-01-20 123937
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An Honest Review of Go

Go gets big props for its built-in concurrency model withgoroutinesandchannels, which make lightweight, scalable parallelism easy and ergonomic. The author criticizes Go's type system for lacking things likeenums, closed type sets, and tuples, making certain patterns awkward compared with Rust's ric.. read more  

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How Github monopoly is destroying the open source ecosystem

Out of 238 student open source contributions over seven years, 237 landed onGitHub- even though they were told to look elsewhere. One short-lived GitHub IP block brought everything to a standstill. No commits. No reviews. Just silence. Turns out, a single platform holds the keys to a whole ecosystem.. read more  

How Github monopoly is destroying the open source ecosystem
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A better way to limit Claude Code (and other coding agents!) access to Secrets

A new workflow dropsClaude Codeinto aBubblewrap-based sandbox, cutting Anthropic's client-side code out of the trust loop. Compared to spinning up Docker or juggling user accounts, Bubblewrap locks things down tighter - with less setup and cleaner OS-level walls around files, network access, and sec.. read more  

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Reversing YouTube's "Most Replayed" Graph

An engineer cracked open YouTube’s “most replayed” heatmap. Turns out it runs onsampled view frequency arrays, client-sidenormalization, andSVG renderingstitched together withCubic Bézier splinesfor that smooth, snappy curve. Behind the scenes, playback gets logged with adifference array + prefix su.. read more  

Reversing YouTube's "Most Replayed" Graph
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Software Developer, RELIANOID

🚨 Join RELIANOID at the Dallas Cybersecurity Conference 2026! 🚨

📍 Dallas, Texas | 🗓 January 22, 2026 Securing the Future starts here. We’re excited to be part of FutureCon Dallas, a high-impact event bringing together CISOs, C-suite leaders, and senior security professionals to tackle today’s most pressing cyber threats. 🔹 Why attend? Gain actionable insights in..

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v1.35: Restricting executables invoked by kubeconfigs via exec plugin allowList added to kuberc

Kubernetes v1.35 lands with acredential plugin allowlist, now in beta, no feature gate needed. It lets you lock down whichexecplugins your kubeconfigs can run. Tighter leash, lower risk. Especially when the credential pipeline gets sketchy... read more  

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Run Your Project in a Dev Container, in Zed

Zed v0.218 addsDev Containersupport with Docker. Projects can now spin up in clean, spec-compliant environments built from.devcontainer.json. It hooks into theDevelopment Containers CLI, with a Zed remote server running backend ops and piping through standard IO. Fast and clean. The bigger picture?L.. read more  

Run Your Project in a Dev Container, in Zed
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From Bare Metal to Containers: A Developer's Guide to Execution Environments

A sharp look at how execution environments evolved - from bare metal to VMs, containers, sandboxes, and language-level runtimes. The focus: isolation. Hardware, kernel, processes, runtimes - each adds a boundary. Modern stacks mix and match layers to dial in the right amount. VMs, containers, venvs... read more  

From Bare Metal to Containers: A Developer's Guide to Execution Environments
Google Kubernetes Engine (GKE) offers a Kubernetes experience on Autopilot that manages the underlying compute infrastructure without the need for manual configuration or monitoring. It provides container-native networking and security features, prebuilt Kubernetes applications and templates, pod and cluster autoscaling, and automated tools for workload migration. GKE clusters consist of a control plane and nodes that run the services supporting the containers. Autopilot mode manages the complexity of the cluster while allowing you to deploy and run your apps easily. The common uses of GKE include continuous integration and delivery, migrating workloads, and deploying and running applications. GKE pricing is based on the mode of operation, cluster management fees, and applicable multi-cluster ingress fees, with a free tier and a pricing calculator available to estimate costs. You can also connect with Google's sales team to get a custom quote for your organization or start your proof of concept.