CapeStart

Excited to be working on Micro Frontend architecture and seeing how it changes the way large-scale frontend applications are built and managed. Instead of maintaining one massive frontend application, Micro Frontends allow teams to independently develop, deploy, and scale different parts of an application — making development faster, cleaner, and more flexible. Recently worked on: • Deploying Micro Frontends in Kubernetes • Managing frontend builds and CI/CD pipelines • Handling containerized deployments with Docker • Configuring NGINX for routing and hosting • Working with shared environments across teams • Troubleshooting deployment and image pull issues in K8s One thing I really like about Micro Frontends is how they bring the same scalability mindset of microservices into frontend development. It improves team independence while still keeping the user experience unified. A lot of learning, debugging, rebuilding, and experimenting happening behind the scenes — but that’s where the real growth happens. #MicroFrontends #DevOps #Kubernetes #Docker #NGINX #FrontendArchitecture #CI_CD #AWS #Cloud #SoftwareEngineering

FinOps programs are maturing. Organisations have invested heavily in cloud cost visibility; tagging policies, showback reports, budget alerts. And for compute, storage, and networking, that investment largely pays off. Costs are visible. Teams are accountable. Decisions get made. Then there's Kubernetes. K8s sits inside that same cloud bill, but behaves differently. Costs are pooled at the cluster level, shared across workloads, and rarely broken down far enough to mean anything to the teams actually running services on top of it. The result: FinOps programs that are precise everywhere except where containerised workloads live. Three patterns that show up consistently: - Shared clusters absorb costs that should belong to specific teams or products - Namespace-level allocation masks what's actually driving spend at the workload level - Idle and over-provisioned resources go undetected because no one has a clear ownership signal This isn't a maturity problem. Organisations running sophisticated FinOps practices hit this wall too. It's a structural gap, the granularity that makes cloud cost management work simply doesn't extend into K8s by default. CloudCADI addresses this directly with Kubernetes cost breakdowns at the workload level, mapped to business units and teams, so the accountability that exists everywhere else in your cloud environment finally extends to your container infrastructure too. Get granular kubernetes cost breakdown, and show back with CloudCADI #FinOps #CloudCADI #CloudCostOptimization #CloudGovernance #CloudSpendManagement #MultiCloud #AWS #Azure #GCP #Databricks #Fabric #Kubernetes

🧩 What was the incident? Attackers targeted systems using FortiGate SSL VPN and a set of hacking tools called Nightmare-Eclipse. 👉 Important: They did not hack the firewall directly They used a stolen VPN login ⸻ 🔄 what actually happened 🔐 1. VPN account was stolen * An employee’s VPN username & password got exposed (phishing / leak / reuse) * Attackers logged in through VPN 👉 Looks like a normal login → no alert ⸻ 🖥️ 2. Inside the company network * Now attacker is “inside” * Has same access as that user’s laptop 👉 This is why VPN = high risk entry point ⸻ 🧰 3. Ran hacking tools (Nightmare-Eclipse) They uploaded tools into the system and ran commands like: * checking users * checking permissions * exploring the system 👉 This is called manual attack (hands-on keyboard) ⸻ ⬆️ 4. Tried to become full admin * Used tools like BlueHammer / RedSun * Target: get SYSTEM (highest privilege in Windows) 👉 Why? * To control everything * Disable security * access all data ⚠️ In this case: * They failed partially (mistakes or protections) ⸻ 🔁 5. Created a hidden backdoor (most dangerous) * Used a tool (BeigeBurrow) * Created a secret tunnel connection 👉 Meaning: * Even if VPN access is removed * Attacker can still come back ⸻ 🔎 6. Continued checking the network * Looked for: * other machines * admin accounts * sensitive data 👉 Preparing for bigger attack (like ransomware) ⸻ ⚠️ Why this attack matters ❌ 1. No advanced exploit needed * Just 1 stolen VPN credential ⸻ ❌ 2. Public tools used * Anyone can download these tools ⸻ ❌ 3. VPN trust is dangerous * Once inside → treated as “trusted user” ⸻ ❌ 4. Even failed attack is risky * They still: * entered network * executed tools * created backdoor ⸻ 🛡️ How to stop this ✅ 1. Enable MFA on VPN 👉 This alone could have blocked everything ⸻ ✅ 2. Limit access (very important for you) * Don’t give full network access after VPN * Allow only specific IP / systems ⸻ ✅ 3. Monitor VPN logins * New location / unusual time = alert ⸻ ✅ 4. Endpoint protection (EDR) * Detect: * suspicious commands * unknown tools * tunneling ⸻ ✅ 5. Disable local admin rights * Makes privilege escalation harder https://lnkd.in/gNQ77G4Z #vpn

85% say cloud cost is the top priority. That sounds like a cost problem. But, it isn’t. When cost, security, governance, compliance, and even expertise all sit above ~70%, you’re not looking at isolated issues. You’re looking at a system that isn’t executing. FinOps doesn’t fail because teams lack dashboards. Cost monitoring is rarely the bottleneck. Most enterprises already have visibility. What they don’t have is coordinated action. Finance sees spend. Engineering sees performance. Governance sets policies. Nobody owns the full loop from insight to action. So optimization stalls. Not from ignorance but from fragmentation. But, aren't there right tools to fix this equation. Here’s what execution looks like with CloudCADI: First, you onboard your workloads into the platform without spending hours with it through automated onboarding. Now, everything is visible in one place. Not scattered dashboards but unified cloud monitoring across teams & Multi-cloud. Then, governance isn’t just policy sitting in a document. It’s embedded. Rules are defined, enforced, and continuously tracked. Next, the system surfaces actionable recommendations. Not just 'here’s your spend," but "here’s exactly what to fix, and why." CloudCADI can handle the remediation part for you. Then comes the final missing piece: Accountability. FinOps, engineering, finance everyone knows what they’re responsible for, and have their dedicated information layers Actions are taken. Spend improves without Performance negotiation. That’s Financial Prudence in practice. Not seeing the problem but actually solving it. Any tool can see the problem, it takes CloudCADI to solve it across the loop #FinOps #CloudCADI #CloudCostOptimization #CloudGovernance #CloudSpendManagement #MultiCloud #AWS #Azure #GCP #Databricks #Fabric #Kubernetes