DevSecOps Migration to Proxmox LXC Container

Ever wanted to securely test volatile code or learn Linux without risking your native OS or downloading heavy Virtual Machines? I am incredibly excited to open-source the project my team and I built this semester: Secure-Sandbox Environment Manager (SSEM)! The Solution: SSEM is a full-stack platform that dynamically provisions isolated Linux desktops (Ubuntu & Kali Linux) directly into your web browser in under 10 seconds. Alongside my teammates Komal K, Manan Katarmal, and Kritika Agrawal, we completely pushed our boundaries in DevOps, networking, and cloud architecture to make this a reality. Key Technical Achievements: ✨ Instant Provisioning: Utilized Docker and Docker Compose to spin up isolated containerized environments dynamically via our Node.js Express API. ✨ Browser-Based Desktop: Integrated noVNC to securely stream the entire Linux desktop GUI directly to the frontend React interface without any external software. ✨ Cloud Deployed: Successfully deployed the full stack on a custom AWS EC2 instance configured with hard-drive SWAP spaces, Nginx, and PM2 for continuous uptime. ✨ Secure & Scalable: Implemented JWT-based authentication, user-specific container constraints, and port collision safety. Fighting container out-of-memory crashes on AWS and configuring dynamic reverse proxies taught us more about modern infrastructure than any textbook ever could! You can watch the video demo below to see a Kali Linux container spin up instantly, and check out our full source code and documentation here: https://lnkd.in/dg6M_Jjn I’d love to hear feedback or answer any architectural questions from the community! 👇 #AWS #Docker #ReactJS #NodeJS #CyberSecurity #CloudComputing #KaliLinux #SoftwareEngineering #DevOps #OpenSource

Super proud to share a project we’ve been working on this semester 🚀 Building Secure-Sandbox Environment Manager (SSEM) pushed us beyond just coding — we got hands on with real world DevOps, cloud deployment, and system level problem solving. From handling container crashes to setting up dynamic environments, every challenge taught us something valuable. Big shoutout to my amazing teammates for making this happen Would love for you all to check it out and share your thoughts! #OpenSource #DevOps #CloudComputing #LearningByBuilding

I was handed read access to a production Kubernetes cluster. 60 minutes. No insider knowledge. Just open source tools. Here's every misconfiguration I found 👇 🔴 7 containers running as root 🔴 2 privileged containers in production (one was a backend API — no reason for it) 🔴 A CI/CD service account with cluster-admin, created "temporarily" 8 months ago — still active 🔴 3 hardcoded secrets in plain env vars, likely sitting in a Git repo 🔴 Zero NetworkPolicies — every pod could talk to every other pod freely 🔴 No resource limits on 60% of pods 🔴 6 images running :latest — one had a known critical CVE 🔴 etcd backups configured but never tested 🔴 No admission controller — meaning every fix could be silently undone on the next deployment Kubescape final score: 47% compliance with NSA/CISA hardening guidelines. This wasn't a terrible cluster. It had TLS on ingress, secrets in Kubernetes Secrets, and separate namespaces for staging and prod. But 9 findings in under an hour — with just kubectl, Trivy, Kube-bench, Polaris, and Kubescape. All free. All open source. If you haven't audited your cluster recently, you might not like what you find. That's exactly why you should. 📖 Full write-up with every command, fix, and explanation: https://lnkd.in/dBAW7yYG #Kubernetes #DevSecOps #CloudSecurity #K8s #DevOps #CloudNative #OpenSource #Security

I was handed read access to a production Kubernetes cluster. 60 minutes. No insider knowledge. Just open source tools. Here's every misconfiguration I found 👇 🔴 7 containers running as root 🔴 2 privileged containers in production (one was a backend API — no reason for it) 🔴 A CI/CD service account with cluster-admin, created "temporarily" 8 months ago — still active 🔴 3 hardcoded secrets in plain env vars, likely sitting in a Git repo 🔴 Zero NetworkPolicies — every pod could talk to every other pod freely 🔴 No resource limits on 60% of pods 🔴 6 images running :latest — one had a known critical CVE 🔴 etcd backups configured but never tested 🔴 No admission controller — meaning every fix could be silently undone on the next deployment Kubescape final score: 47% compliance with NSA/CISA hardening guidelines. This wasn't a terrible cluster. It had TLS on ingress, secrets in Kubernetes Secrets, and separate namespaces for staging and prod. But 9 findings in under an hour — with just kubectl, Trivy, Kube-bench, Polaris, and Kubescape. All free. All open source. If you haven't audited your cluster recently, you might not like what you find. That's exactly why you should. 📖 Full write-up with every command, fix, and explanation: https://lnkd.in/dqSVQJ-3 #Kubernetes #DevSecOps #CloudSecurity #K8s #DevOps #CloudNative #OpenSource #Security

I recently came across something that made me stop immediately. While reviewing an application, everything looked fine. Until I found what no engineer wants to see. A hardcoded password inside the code. It remains one of the most common and most dangerous mistakes in modern development. I’ve seen API keys in frontend files, database passwords pushed to Git, and secrets exposed through CI pipelines. It feels quick and convenient at the time. But once it leaks, it becomes a real security incident. The solution is simple. Use proper secret management tools like AWS Secrets Manager, Azure Key Vault, HashiCorp Vault, or GCP Secret Manager. They provide secure storage, access control, encryption, and automatic rotation. If you find a password in your codebase today, move it. It is a small fix that avoids a much larger problem later. Good security starts with small, consistent practices.

🚀 Kubernetes Networking Deep Dive: Implementing TLS Offload, Bridge, and Zero-Trust Passthrough I’ve just completed an intensive project focusing on securing data in transit within Kubernetes clusters. Understanding these complex traffic patterns is a game-changer for building resilient, production-grade infrastructure. In this project, I implemented and validated three distinct architectural patterns using the Nginx Ingress Controller: 🔹 TLS Offload: Terminating SSL at the edge to optimize backend performance. 🔹 TLS Bridge: Ensuring full end-to-end encryption by re-encrypting traffic between the Ingress and the Pod. 🔹 TLS Passthrough: A Zero-Trust approach where the Ingress acts as a silent tunnel, allowing the application to handle its own encryption. Key Technical Challenges Overcome: Infrastructure Identity: Generating multi-domain Wildcard Certificates using OpenSSL to support complex routing. Container Security: Configuring Django (runserver_plus) to manage its own SSL handshake within the Pod environment. Traffic Debugging: Troubleshooting SNI (Server Name Indication) routing and resolving certificate "localhost" dummy errors to ensure identity integrity. Huge thanks to Abhishek Veeramalla and Bimlendu Verma for the mentorship and the structured DevOps learning path. 🎓 Check out my GitHub for the full architectural manifests and step-by-step documentation! (Link in comments) #Kubernetes #DevOps #CloudNative #Nginx #CyberSecurity #InfrastructureAsCode #CloudEngineering #BengaluruTech #LearningJourney #AWS

30+ dev environments. 10+ applications. ONE VM. $3,000 saved every month. 457 vulnerabilities remediated. We’re proving you can scale development without the "Kubernetes tax" or exploding operational costs. Most teams accept high cloud bills and complex orchestration as the price of doing business. We chose a different path. By moving away from resource-heavy clusters to high-density Linux containers, we’ve collapsed our infrastructure footprint while actually strengthening our security. The Reality of Modern Risk: - Security isn't a build-time checkpoint; it’s a continuous surface. A service that was “safe” during yesterday’s CI run can be vulnerable today due to new CVEs or compromised packages. Our High-Density Stack: - Zero Kubernetes Overhead: 30+ environments consolidated onto a single 8-core / 64GB VM. - Daily Security Scans: Automated checks for headers, TLS, ports, DNS, and web vulnerabilities. - AI-Assisted Remediation: We don't just find the 457 vulnerabilities; we fix them. - Centralized Monitoring: One view across all workloads, without the management sprawl. We’re building this into an internal project to help others manage large numbers of environments without the massive bill: 👉 https://lnkd.in/gafRfh_Q Curious how others are tackling: → Environment sprawl without K8s → Post-deploy security automation → Dev vs. Prod cost tradeoffs #devops #security #platformengineering #cloudcost #linux #opensource #ai

We’ve been heads-down on Containarium, and the numbers are finally speaking for themselves. Moving 30+ environments onto a single VM—without the K8s tax—has been a game changer for our burn rate and security. Check out the full breakdown in our company update below. 👇

Have you ever spent hours debugging something that looks fine on the surface but refuses to work no matter what you try? That was me with a Nexus Repository setup on EC2 — everything was “successful”… until it wasn’t. I ran into a situation where Nexus would start and immediately shut down, Java errors kept pointing in different directions, and logs were either missing or misleading. For a while, it looked like: a Java issue a memory issue even a permissions problem But none of that was the real problem. What was actually going on? The Nexus tarball was being extracted into /tmp, which in this environment is a RAM-backed filesystem with limited space. The archive was ~400MB, and during extraction it silently got cut off halfway. So what I ended up with was: a partially installed, corrupted Nexus setup That’s why: Java failed instantly services kept stopping logs never properly generated everything felt “randomly broken” The fix Once I spotted the real issue, the solution was simple: Moved extraction from /tmp to /opt (actual disk storage) Cleaned up corrupted files and stale PID data Reinstalled Nexus properly Boom 💥 — everything came up clean on first run. Lesson learned In DevOps, not every complex-looking failure is actually complex. Sometimes the real issue is just: “Wrong place. Wrong assumption. Wrong storage.” Always validate: where your files are extracted available disk space (df -h) integrity of downloaded archives Small oversights can look like big system failures. If you’ve ever chased a “ghost bug” that turned out to be something simple in disguise, you know the feeling. #DevOps #Linux #AWS #Jenkins #Nexus #CloudComputing #SystemAdministration #CI_CD #Troubleshooting #DevOpsEngineer #LearningInPublic

Spent the last few months building something I've wanted for a long time: 🛡️ Phalanx — a high-performance reverse proxy & API gateway, written from scratch in Rust. NGINX-inspired config. Modern internals. Zero compromises. What's inside: → AI-predictive load balancing (Epsilon-Greedy, UCB1, Softmax, Thompson Sampling) → WAF with ONNX-based ML fraud detection + OWASP rules → HTTP/1, HTTP/2, HTTP/3 (QUIC), WebSocket, gRPC + gRPC-Web → WebRTC SFU with per-room bandwidth metering → Auto TLS via Let's Encrypt, OCSP stapling, mTLS → Distributed cluster state via Redis, etcd, or SWIM gossip → Kubernetes Ingress + Gateway API controller → Global Anycast / GSLB with geo + latency-based routing → Zero-copy TCP proxying via Linux splice(2) → Proxy-Wasm plugin extensibility → Prometheus + OpenTelemetry baked in 748 tests passing. 46 features wired end-to-end. Apache 2.0. If you work on infra, gateways, or anything edge — give it a spin and tell me what breaks. ⭐ Star it, fork it, file issues: https://lnkd.in/gYFYfKNK #Rust #DistributedSystems #OpenSource #APIGateway #LoadBalancer #DevOps #SRE #Kubernetes #WebRTC