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@devopslinks shared a link, 3ย weeks ago
FAUN.dev()

Donโ€™t trust, verify

Daniel Stenberg, creator of curl, argues that software security should be built on verification rather than trust, outlining the many ways a widely used project like curl could be compromised - from malicious insiders and breached credentials to hacked distribution sites and CI tool exploits. To cou.. read more ย 

Donโ€™t trust, verify
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@devopslinks shared a link, 3ย weeks ago
FAUN.dev()

Shell Tricks That Actually Make Life Easier (And Save Your Sanity)

This post provides a collection of lesser-known terminal tricks that can improve productivity and efficiency when working in various POSIX shells. The tricks cover a range of functions, from efficient text manipulation to file operations and script writing. By incorporating these tips into daily wor.. read more ย 

Shell Tricks That Actually Make Life Easier (And Save Your Sanity)
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@laura_garcia shared a post, 3ย weeks, 2ย days ago
Software Developer, RELIANOID

how to migrate ADC services from Array Networks APV Series to RELIANOIDโ€”step by step.

Migrating from legacy ADC platforms doesnโ€™t have to be complex. In our latest Knowledge Base article, we walk you through how to migrate ADC services from Array Networks APV Series to RELIANOIDโ€”step by step. ๐Ÿ” What youโ€™ll find inside: - Clear terminology mapping between both platforms - Practical mi..

Knowledge base migrate ADC services from ARRAY NETWORKS APV SERIES to RELIANOID
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@laura_garcia shared a post, 3ย weeks, 3ย days ago
Software Developer, RELIANOID

DevOpsCon Amsterdam 2026

- ๐——๐—ฒ๐˜ƒ๐—ข๐—ฝ๐˜€๐—–๐—ผ๐—ป ๐—”๐—บ๐˜€๐˜๐—ฒ๐—ฟ๐—ฑ๐—ฎ๐—บ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐—ถ๐˜€ ๐—ท๐˜‚๐˜€๐˜ ๐—ฎ๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐—ฐ๐—ผ๐—ฟ๐—ป๐—ฒ๐—ฟ! - Amsterdam, Netherlands April 20โ€“24, 2026 Simplify complexity, amplify agility, and accelerate innovation. Join DevOpsCon Amsterdam 2026 โ€” one of the leading conferences for professionals working with CI/CD, Kubernetes, Platform Engineering, ..

devopscon amsterdam april 26
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@sanjayjoshi shared a post, 3ย weeks, 4ย days ago

10+ Shadcn Table Components, Blocks & Tools

A curated list of Shadcn table components and blocks you can use in React and Next.js projects to build clean, flexible, and production-ready data tables faster.

Thumbnail Shadcn Table
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@sancharini shared a post, 3ย weeks, 5ย days ago

Black Box Testing Techniques to Improve Test Coverage

Learn black box testing techniques to improve test coverage. Explore methods like equivalence partitioning, boundary value analysis, and more with practical examples.

black box testing techniques
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@laura_garcia shared a post, 3ย weeks, 5ย days ago
Software Developer, RELIANOID

๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐——๐—ฎ๐˜†

๐Ÿš€ ๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐——๐—ฎ๐˜† ๐—ถ๐˜€ ๐—ต๐—ฒ๐—ฟ๐—ฒโ€ฆ and itโ€™s not just science fiction anymore. Quantum computing is rapidly moving from theory to realityโ€”and with it comes a ๐—บ๐—ฎ๐˜€๐˜€๐—ถ๐˜ƒ๐—ฒ ๐˜€๐—ต๐—ถ๐—ณ๐˜ ๐—ถ๐—ป ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† that organizations simply canโ€™t ignore. Hereโ€™s the uncomfortable truth: ๐Ÿ‘‰ The same technology that promises breakthrou..

quantum_computing_relianoid
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@hamzmu shared a link, 3ย weeks, 5ย days ago
Fellow, Rootly

Using Graphify to turn Incident Data into a Knowledge Graph

Karpathy said we should build LLM knowledge bases. 48 hours later made Graphify was made: one command, full semantic knowledge graph.

We applied the idea to incident data turning them into a queryable and interactable semantic graph. This lets us see past fixes, predict failures, cluster services, cut alert noise, and reveal team load in seconds.

If youโ€™re using Rootly, here is a small plugin to explore your incident data.

Check it out: github.com/Rootly-AI-Labs/rootly-graphify-importer

Interactive knowledge graph visualization of incident management data showing clustered services, alerts, and responders with connected nodes and relationships in Graphify
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@laura_garcia shared a post, 3ย weeks, 5ย days ago
Software Developer, RELIANOID

Strengthen Your MFA with Google Authenticator and RELIANOID

๐Ÿ” Strengthen Your MFA with Google Authenticator and RELIANOID At RELIANOID, we take authentication seriously. We've just published a new technical guide on how to integrate Google Authenticator into the RELIANOID MFA Portal, using Active Directory or LDAP to manage user secrets. โœ… Understand TOTP vs..

2FA with AD_LDAP and Google Authenticator
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@habiledata shared a post, 1ย month ago
HabileData

5 Product Data Quality Issues in Multi-Channel Retail and How to Address Them

Weaknesses in product data expose themselves quickly in a multi-channel retail environment. Define a master schema, maintain control of your inventory and pricing via rules, continuously monitor for compliance, and connect performance metrics to the precise changes made for each SKU.

fixing-product-data-at-scale-5-issues-that-hurt-retail-listings
k3d is an open-source utility designed to simplify running Kubernetes locally by wrapping K3s (Rancherโ€™s lightweight Kubernetes distribution) inside Docker containers. Instead of creating virtual machines, k3d uses Docker as the execution layer, allowing developers to spin up multi-node Kubernetes clusters in seconds using minimal system resources.

k3d is especially popular for local development, CI pipelines, demos, and testing Kubernetes-native applications. It supports advanced setups such as multi-node clusters, load balancers, custom container registries, port mappings, and volume mounts, while remaining easy to tear down and recreate.

Because it uses K3s, k3d inherits a simplified control plane, bundled components, and reduced memory footprint compared to full Kubernetes distributions. This makes it ideal for developers who want a realistic Kubernetes environment without the overhead of tools like Minikube or full VM-based clusters.

k3d integrates cleanly with common Kubernetes workflows and tools such as kubectl, Helm, Skaffold, and Argo CD. It is frequently used to validate manifests, test Helm charts, and simulate production-like environments locally before deploying to cloud or on-prem clusters.