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

๐Ÿš€ ๐—ฆ๐—–๐—”๐—Ÿ๐—˜ ๐Ÿฎ๐Ÿฏ๐˜… โ€“ ๐—ฆ๐—ผ๐˜‚๐˜๐—ต๐—ฒ๐—ฟ๐—ป ๐—–๐—ฎ๐—น๐—ถ๐—ณ๐—ผ๐—ฟ๐—ป๐—ถ๐—ฎ ๐—Ÿ๐—ถ๐—ป๐˜‚๐˜… ๐—˜๐˜…๐—ฝ๐—ผ

๐Ÿ“… March 5โ€“8, 2026 | ๐Ÿ“ Pasadena, California SCALE 23x โ€“ Southern California Linux Expo is back โ€” North Americaโ€™s largest community-run open source conference! Four days of: ๐Ÿ”น Open source innovation ๐Ÿ”น DevOps & cloud-native deep dives ๐Ÿ”น Cybersecurity insights ๐Ÿ”น Hands-on technical workshops ๐Ÿ”น Real commu..

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

Weโ€™re heading to Big Data & AI World 2026

Weโ€™re heading to Big Data & AI World 2026 ๐Ÿ“ 4โ€“5 March 2026 | London Part of Tech Show London 2026, this event brings together data and AI leaders focused on responsible, scalable AI and measurable business outcomes. At RELIANOID, we enable secure, high-performance infrastructures ready for AI-driven..

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@kala shared a link, 2ย months, 1ย week ago
FAUN.dev()

Realtime Prompting Guide

OpenAI shipsgpt-realtimeand declares GA for theRealtime API. It's a speech-to-speech model that tightens instruction-following, steadiestool calling, and lifts voice fidelity. Latency drops. True realtime agents become possible. The release prescribesprompt skeletons,JSON envelopetool outputs,sessio.. read more ย 

Realtime Prompting Guide
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@kala shared a link, 2ย months, 1ย week ago
FAUN.dev()

The Pentagon is making a mistake by threatening Anthropic

Anthropic's Claude Gov, optimized for national security uses, has fewer restrictions than regular versions. The Pentagon is threatening retaliation if Anthropic does not waive these restrictions by Friday, including invoking the Defense Production Act or declaring Anthropic a supply chain risk. Anth.. read more ย 

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@kala shared a link, 2ย months, 1ย week ago
FAUN.dev()

Introducing helm

helm usesTypeScripttypes to registerskillsas typed functions with structured I/O. Permissions follow a clear precedence: exactโ†’wildcardโ†’skillโ†’global. Agents get a keywordsearchtool and a code-execution tool that runs JS inside anSESsandbox. A recursiveproxyforwards calls overIPCto the parent, which .. read more ย 

Introducing helm
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@kala shared a link, 2ย months, 1ย week ago
FAUN.dev()

Do you need an MCP to build your native app?

Do you need an MCP to build your native app? Surprisingly, modern agents succeed either way. The real difference is how much time, cost, and context you waste along the way... read more ย 

Do you need an MCP to build your native app?
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@kaptain shared a link, 2ย months, 1ย week ago
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From Chaos to Clarity: How We Built a Self-Healing CI/CD Pipeline That Talks to JIRA

Transitioning JIRA tickets to trigger deployments was key for this team struggling with manual deploys, leading to significant savings in time and reduction in errors. The architecture involved a JIRA Controller Pipeline, a Project Deployment Pipeline, and a JIRA Manager Pipeline, all aimed at seaml.. read more ย 

From Chaos to Clarity: How We Built a Self-Healing CI/CD Pipeline That Talks to JIRA
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@kaptain shared a link, 2ย months, 1ย week ago
FAUN.dev()

Before You Migrate: Five Surprising Ingress-NGINX Behaviors You Need to Know

The K8s blog exposesIngress-NGINXdefaults that clash withGateway API. These include case-insensitive prefix regexes. Host-wide annotation effects. Path rewrites. Slash redirects. URL normalization. Kubernetes retiresIngress-NGINXinMarch 2026.Gateway API 1.5graduatesListenerSetand theHTTPRoute CORS.. read more ย 

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@kaptain shared a link, 2ย months, 1ย week ago
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Spotlight on SIG Architecture: API Governance

Kubernetes SIG Architectureโ€™s API Governance crew is tightening the screws on stability, consistency, and cross-cutting sanity across the whole API surface. Not just REST. Theyโ€™re eyeing the overlooked stuff too - CLI flags, config formats, anything that shapes how users and tools touch the system. .. read more ย 

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@kaptain shared a link, 2ย months, 1ย week ago
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I Built a Production-Grade Kubernetes Platform in 48 Hours.

A dev built a production-grade Kubernetes platform in 48 hours, encountering challenges and solutions along the way. The setup included multiple layers such as infrastructure, cluster, platform, delivery, and observability, each requiring troubleshooting and adjustments. The process involved deployi.. read more ย 

I Built a Production-Grade Kubernetes Platform in 48 Hours.
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 storageโ€”such as S3, GCS, or Azure Blob Storageโ€”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.

Tempoโ€™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.