🚀 Completed a Kubernetes Monitoring Project with Prometheus & Grafana As part of my DevOps learn...

🚀 Completed a Kubernetes Monitoring Project with Prometheus & Grafana As part of my DevOps learn...🚀 Completed a Kubernetes Monitoring Project with Prometheus & Grafana As part of my DevOps learn...

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Shereen Hasnain

• Sep 16

🚀 Completed a Kubernetes Monitoring Project with Prometheus & Grafana As part of my DevOps learning journey, I completed a hands-on Kubernetes monitoring project where I deployed and monitored a Kubernetes environment using Helm, Prometheus, and Grafana. 🔧 Technologies Used: • Kubernetes & Minikube • Helm • Prometheus • Grafana • Node Exporter • Kube State Metrics 📌 What I implemented: • Deployed Prometheus and Grafana using Helm • Monitored Kubernetes pods and services • Collected node and cluster metrics • Created a Grafana monitoring dashboard • Monitored CPU, memory, and pod status • Created PromQL queries for monitoring • Configured a High CPU Usage alert (CPU > 80%) • Verified deployments using kubectl get pods, kubectl get svc, and helm list 📸 Screenshots below show the actual implementation, including Kubernetes resources, Helm releases, Grafana dashboard, and alert configuration. This project helped me strengthen my understanding of Kubernetes monitoring, observability, Prometheus, Grafana, Helm, and alerting Currently continuing my journey toward becoming a Junior DevOps Engineer, focusing on Kubernetes, CI/CD, cloud technologies, monitoring, and automation. hashtag#DevOps hashtag#Kubernetes hashtag#Prometheus hashtag#Grafana hashtag#Helm hashtag#Monitoring hashtag#Minikube hashtag#CloudComputing hashtag#DevOpsJourney

Completed work

DevOps Grafana Kubernetes Prometheus

Olubade Esther

pro

• Sep 19

Testing something new 👇 Designed this with ChatGPT + Flora.

Be honest… which one would you trust more?

#SocialMediaManager #MetaAds #DigitalMarketing #AIForBusiness #AIinMarketing

Social Content Design Social Media Management Social Media Strategy ChatGPT FLORA

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Nahid Hasan

• Sep 18

The backend for a UK marketplace that connects construction businesses with tradespeople.

I built the auth layer with admin 2FA, social and phone sign-in and rate limiting, and in a security review I closed an account-takeover path and an MFA bypass. On top of that: profiles with skills, accreditations and auto-geocoding, job posting and applications, a discovery search that ranks tradespeople by availability, distance, rating and budget, and Stripe subscriptions with webhooks.

I also set up the CI pipeline in GitHub Actions and the one-command deploy to an Ubuntu server with health checks.

Stack: NestJS, Prisma, PostgreSQL, Stripe, Firebase, Docker, GitHub Actions.

Completed work

DevOps Software Development Kubernetes NestJS Stripe Backend Development

abdullah masood

• Sep 17

🚀 Introducing GraphBridge – Turn JSON into Grafana Dashboards One thing I've noticed while working on different projects is that applications already have valuable metrics, but getting those metrics into Grafana often requires exporters, custom integrations, or additional setup. I wanted something much simpler. So I built GraphBridge. The idea is straightforward: Your Application ↓ Send JSON ↓ GraphBridge ↓ Prometheus ↓ Grafana Instead of writing custom exporters, your application simply sends JSON metrics to GraphBridge. For example: { "active_users": 85, "orders_today": 42, "revenue_today": 9840, "failed_jobs": 3, "latency_ms": 210 } GraphBridge automatically converts the data into Prometheus metrics, making it immediately available for Grafana dashboards. Current features ✅ JSON Webhook API ✅ REST API polling ✅ JSON & CSV data sources ✅ Prometheus /metrics endpoint ✅ Docker Compose deployment ✅ Auto-configured Grafana dashboard ✅ Example integrations for Laravel, FastAPI, Node.js, and custom applications Possible use cases • Application monitoring • Queue & background job metrics • Business dashboards • API performance monitoring • FFmpeg streaming statistics • IoT sensor metrics • Internal analytics • Custom operational dashboards The goal is simple: Send JSON. Visualize everything. This is the first public MVP, and I'm planning to continue improving it with additional integrations and monitoring templates. I'd love your feedback and suggestions! ⭐ GitHub: https://lnkd.in/dAYdNJxg

Completed work