Ibrahim Jimoh

Could you explain #Kubernetes without relying on technical terms? 🤯 That’s exactly what our colleague Mihai Scornea did in this latest #RSystemsVoices article. If you’re curious about his approach or want to understand Kubernetes without dealing with the complicated terminology, this one’s for you 👇 https://bit.ly/4oBUfrS #RSystemsInsights #KubernetesSimplified #CloudComputing #DevOps #CloudNative #Containers #TechExplained

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We maxed out n8n. Here's when it broke. 💥 In this video, we stress tested n8n on two AWS instance types: C5.large and C5.4xlarge, using both Single mode and Queue mode architectures. We ran three critical benchmarking scenarios: → Single Webhook: one flow triggered repeatedly → Multi Webhook: 10 workflows triggered in parallel → Binary Data: large file uploads and processing Key takeaways: Queue mode consistently outperforms Single mode Bigger AWS instances (C5.4xlarge) deliver 2–10x better performance Binary data workflows push n8n to its limits Watch it here and let us know what you think! ▶️ https://buff.ly/g7xJUQA Whether you're a solo developer or running an enterprise automation platform, this benchmark shows exactly how far n8n can go. Want to test your own setup? Find our n8n Benchmarking Guide, here: https://buff.ly/Sb6BLfp Thanks Angel Menendez for the great video! 👏🏻 #n8n #loadtesting #DevOps #cloudengineering #automation #benchmarking #AWS

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This article experiments with running a MariaDB Galera cluster on a $150 Kubernetes lab built from Orange Pi boards. It details installing K3s, deploying the MariaDB Kubernetes Operator, tuning resource limits for small SBCs. More: https://ku.bz/j_8-vP3jy

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Our latest Kubernetes Operator release is now available! 🚨 This new release comes armed with enhancements, especially in how you can approach disaster recovery in #MariaDB clusters, new #AI vector support, and how the Operator is adapting to the requirements of modern data-centric applications. Alejandro Duarte shares more details on the latest version in HackerNoon. ⬇️ https://lnkd.in/e2-bjBRd

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🎙️ From gRPCConf 2025 North America How do you securely expose gRPC services at the edge? In this talk, Dushan Abeyruwan of WSO2 breaks down how the WSO2 Kubernetes Gateway enables production-grade gRPC API exposure—with built-in support for:  ✅ Native gRPC routing ✅ Authentication and rate limiting ✅ Policy enforcement ✅ Retry logic and QoS control 🎥 Watch the session: https://lnkd.in/ghfS78yp   #APIManagement #gRPC #Kubernetes #DevOps #Envoy #CloudNative #WSO2 #gRPCConf2025

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AWS EKS Tip 💡 What happens if the pod writes data more than configured resource limit in the EFS based PVC. Lets say if you request, say, 1 GiB in a PVC. The created PV is limitless (i.e. can store much more), because EFS does not enforce the capacity you ask in the PVC. This means, the storage size in PVC is required (you must put something, e.g. 5Gi) because Kubernetes API needs that. But that number does not limit how much data can actually be stored in the EFS via that PVC. One way to avoid the unnecessary cost on EFS storage is by monitoring the storage using CloudWatch alarm on StorageBytes metric. 13,000+ DevOps engineers read our Devops newsletter 𝗝𝗼𝗶𝗻 𝗛𝗲𝗿𝗲 (𝗜𝘁𝘀 𝗳𝗿𝗲𝗲): https://lnkd.in/gZqQTHRy We send deep dives, practical tips, and guides straight to your inbox. #devops #kubernetes

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💪 Monday motivation: There are a lot of ways you can keep latencies low with read-heavy workloads – even on databases such as ScyllaDB, which are also optimized for write-heavy workloads. Felipe Cardeneti Mendes explains the variety of #ScyllaDB features that optimize it for ultra-low latency reads. https://lnkd.in/e6rRgBz6

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We're excited to announce the ability for OCI Kubernetes Engine users to take repair actions on faulty worker nodes, allowing you to reboot or replace the boot volumes of managed nodes and self-managed nodes in your cluster to address node health issues. https://lnkd.in/emJdmyxy

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GitLab 18.3 is here! Evolving human-AI collaboration with enhanced Flows, enterprise governance, and seamless tool integration. ✨ These are just a few highlights for what's new in GitLab 18.3: ✔️ Issue to MR Flow ✔️ Convert CI File Flow ✔️ Remote MCP Server ✔️ CLI Agent Support for Claude Code, Codex, Amazon Q, Google Gemini, and OpenCode ✔️ Expanded AI Model Support for GitLab Duo Self-Hosted Learn more in our GitLab 18.3 blog: https://lnkd.in/gAqpTNV6

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