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@laura_garcia shared a post, 1Β month, 2Β weeks ago
Software Developer, RELIANOID

πŸŽ‰ π—ͺ𝗲 𝗗𝗢𝗱 π—œπ˜ β€” 𝟭,𝟳𝟬𝟬+ π—™π—Όπ—Ήπ—Ήπ—Όπ˜„π—²π—Ώπ˜€ 𝗼𝗻 π—Ÿπ—Άπ—»π—Έπ—²π—±π—œπ—»! πŸš€

Big news from the RELIANOID team! We’ve just crossed 𝟭,𝟳𝟬𝟬 π—³π—Όπ—Ήπ—Ήπ—Όπ˜„π—²π—Ώπ˜€ on LinkedIn, and we couldn’t be more grateful πŸ™Œ This community is growing thanks to you β€” our partners, customers, tech enthusiasts, and cybersecurity professionals who follow our journey in application delivery, security, and high..

1700 followers relianoid linkedin
Link Xygeni Team
@mashka shared a link, 1Β month, 2Β weeks ago
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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@viktoriiagolovtseva shared a post, 1Β month, 2Β weeks ago

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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@varbear shared a link, 1Β month, 2Β weeks ago
FAUN.dev()

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 Β 

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@varbear shared a link, 1Β month, 2Β weeks ago
FAUN.dev()

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 Β 

How Github monopoly is destroying the open source ecosystem
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@varbear shared a link, 1Β month, 2Β weeks ago
FAUN.dev()

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 Β 

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@varbear shared a link, 1Β month, 2Β weeks ago
FAUN.dev()

Reversing YouTube's "Most Replayed" Graph

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

Reversing YouTube's "Most Replayed" Graph
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@laura_garcia shared a post, 1Β month, 2Β weeks ago
Software Developer, RELIANOID

🚨 Join RELIANOID at the Dallas Cybersecurity Conference 2026! 🚨

πŸ“ Dallas, Texas | πŸ—“ 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. πŸ”Ή Why attend? Gain actionable insights in..

dallas_cybersecurity_conference_2026_relianoid
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@kaptain shared a link, 1Β month, 2Β weeks ago
FAUN.dev()

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 Β 

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@kaptain shared a link, 1Β month, 2Β weeks ago
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A Brief Deep-Dive into Attacking and Defending Kubernetes

A sharp teardown of Kubernetes’ attack surface maps out where things go sideways: pods, the control plane, RBAC, admission controllers, and etcd. Misconfigurations like anonymous API access, wildcard roles, and hostPath mounts aren't just sloppy- they're attack vectors. Fixes? ThinkFalco,RBAC lockdo.. read more Β 

A Brief Deep-Dive into Attacking and Defending Kubernetes
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storageβ€”such as S3, GCS, or Azure Blob Storageβ€”to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.