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@laura_garcia shared a post, 5 months, 2 weeks ago
Software Developer, RELIANOID

Japan’s new Active Cyberdefence Law

Japan’s new Active Cyberdefence Law (ACD) is redefining how the nation tackles cyber threats — shifting from a defensive stance to a proactive cybersecurity strategy. Key measures include: ⚙️ Authority to neutralize hostile servers 🤝 Closer public–private collaboration 📢 Mandatory breach reporting A..

Japan's Active Cyberdefence Law
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@laura_garcia shared a post, 5 months, 2 weeks ago
Software Developer, RELIANOID

Asia Hits 50% IPv6 Capability — A Global Milestone

- Asia has reached a major internet milestone: 50% of its systems are now IPv6 capable, positioning the region as a global leader in IPv6 user adoption. - Why this matters: - India (78.1%) and China (810M users) are driving this growth. - Historical IPv4 scarcity in Asia helped fuel early IPv6 inves..

Blog Asia reaches 50 percent IPv6 capability
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@laura_garcia shared a post, 5 months, 2 weeks ago
Software Developer, RELIANOID

🚀 RELIANOID is heading to it-sa Expo&Congress 2025!

📍 Nuremberg, Germany | October 7–9, 2025 🔒 Europe’s largest IT security event with 900+ exhibitors, expert talks & global networking. We’ll be there to showcase how RELIANOID helps businesses stay ahead of evolving cyber threats. 👉 See you in Nuremberg! Send us a DM to make an appointment. #itSa2025..

itsa nuremberg
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@faun shared a link, 5 months, 3 weeks ago
FAUN.dev()

Building a Resilient Data Platform with Write-Ahead Log at Netflix

Netflix faced challenges like data loss, system entropy, updates across partitions, and reliable retries. To address these, they built a generic Write-Ahead Log (WAL) system serving a variety of use cases like delayed queues, generic cross-region replication, and multi-partition mutations. WAL abstr.. read more  

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@faun shared a link, 5 months, 3 weeks ago
FAUN.dev()

Writing Load Balancer From Scratch In 250 Line of Code

A developer rolled out a fully working **Go load balancer** with a clean **Round Robin** setup—and hooks for dropping in smarter strategies like **Least Connection** or **IP Hash**. Backend servers live in a custom server pool. Swapping balancing logic? Just plug into the interface... read more  

Writing Load Balancer From Scratch In 250 Line of Code
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@faun shared a link, 5 months, 3 weeks ago
FAUN.dev()

Organize your Slack channels by “How Often”, not “What” - Aggressively Paraphrasing Me

One dev rewired their Slack setup by **engagement frequency**—not subject. Channels got sorted into tiers like “Read Now” and “Read Hourly,” cutting through noise and saving brainpower. It riffs off the **Eisenhower Matrix**, letting priorities shift with projects, not burn people out... read more  

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@faun shared a link, 5 months, 3 weeks ago
FAUN.dev()

Privacy for subdomains: the solution

A two-container setup using **acme.sh** gets Let's Encrypt certs running on a Synology NAS—thanks, Docker. No built-in Certbot support? No problem. Cloudflare DNS API token handles auth. Scheduled tasks handle renewal... read more  

Privacy for subdomains: the solution
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@faun shared a link, 5 months, 3 weeks ago
FAUN.dev()

Users Only Care About 20% of Your Application

Modern apps burst with features most people never touch. Users stick to their favorite 20%. The rest? Frustration, bloat, ignored edge cases. Tools like **VS Code**, **Slack**, and **Notion** nail it by staying lean at the core and letting users stack what they need. Extensions, plug-ins, integrati.. read more  

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@faun shared a link, 5 months, 3 weeks ago
FAUN.dev()

Authentication Explained: When to Use Basic, Bearer, OAuth2, JWT & SSO

Modern apps don’t just check passwords—they rely on **API tokens**, **OAuth**, and **Single Sign-On (SSO)** to know who’s knocking before they open the door... read more  

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@faun shared a link, 5 months, 3 weeks ago
FAUN.dev()

Uncommon Uses of Common Python Standard Library Functions

A fresh guide gives old Python friends a second look—turns out, tools like **itertools.groupby**, **zip**, **bisect**, and **heapq** aren’t just standard; they’re slick solutions to real problems. Think run-length encoding, matrix transposes, or fast, sorted inserts without bringing in another depen.. read more  

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 storage—such as S3, GCS, or Azure Blob Storage—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.