Raj S (@rjsada) profile picture
Joined October 2013
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Your fetch call has no timeout. One slow third-party API can hang your request for minutes. // The default: wait as long as it takes const res = await fetch(url); // One line fix: const res = await fetch(url, { signal: AbortSignal.timeout(3000), }); // After 3 seconds it throws a TimeoutError. // Catch it and return a fallback: try { const res = await fetch(url, { signal: AbortSignal.timeout(3000), }); } catch (err) { if (err.name === 'TimeoutError') { return cachedData; } throw err; } Why it matters: → A slow dependency stops eating your connections → Your API fails fast instead of piling up requests → Built in. No library needed (Node 18+) Rule: Every outbound call gets a timeout. No exceptions. Which call in your app has no timeout right now?
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Manager: Can we deploy today? Dev: It is Friday. Manager: It is a small change. Dev: That is what the last outage said. Manager: What is the worst that could happen? Dev: Please never ask that question. Manager: So... is that a yes? Dev: I will be on call this weekend, won't I. Manager: You are a real team player. Do you deploy on Fridays?
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29 visual guides to build your Cloud, DevOps & AI skills. 🚀 Bookmark this list for your next learning session & share 🔖 1. Cloud Security Visual Guide t3pacademy.gumroad.com/l/bhq… 2. Build AI Agents & Workflow Automation t3pacademy.gumroad.com/l/jqz… 3. DevOps Hiring Checklist t3pacademy.gumroad.com/l/qyp… 4. Cloud Landing Zone Visual Handbook t3pacademy.gumroad.com/l/tgy… 5. DevOps Roadmap t3pacademy.gumroad.com/l/vnp… 6. Linux Mastery: 53 Advanced Commands t3pacademy.gumroad.com/l/nqv… 7. GitHub Actions Visual Guide t3pacademy.gumroad.com/l/yrm… 8. AWS Containers Mastery t3pacademy.gumroad.com/l/ore… 9. System Design Visual Guide t3pacademy.gumroad.com/l/uta… 10. Disaster Recovery Visual Blueprint t3pacademy.gumroad.com/l/DR-… 11. Terraform Troubleshooting Guide t3pacademy.gumroad.com/l/Ter… 12. AWS Container & Serverless Troubleshooting t3pacademy.gumroad.com/l/AWS… 13. AWS Cloud Security Cheat Sheet t3pacademy.gumroad.com/l/aws… 14. AWS + Terraform Deployment Guide t3pacademy.gumroad.com/l/aws… 15. Linux Interview Handbook t3pacademy.gumroad.com/l/ogm… 16. AI Engineer Roadmap t3pacademy.gumroad.com/l/AI-… 17. AI Cheat Sheet for Beginners t3pacademy.gumroad.com/l/ai-… 18. AI Agent Builder’s Handbook t3pacademy.gumroad.com/l/mtu… 19. Generative AI Basics t3pacademy.gumroad.com/l/Gen… 20. MLOps for Beginners t3pacademy.gumroad.com/l/uwj… 21. AI Infrastructure Playbook t3pacademy.gumroad.com/l/xsh… 22. Docker 8-Days Visual Guide t3pacademy.gumroad.com/l/doc… 23. Kubernetes Production Readiness: 100 Checks Before You Go Live t3pacademy.gumroad.com/l/yqo… 24. From Cloud & DevOps to AI Engineer: The Career Transition Visual Playbook t3pacademy.gumroad.com/l/Clo… 25. LLM Inference: A Quick Visual Guide t3pacademy.gumroad.com/l/LLM… 26. 12-Day Docker Mastery: Beginner to Production Visual Guide t3pacademy.gumroad.com/l/ghw… 27. AI Observability & Evaluation Visual Playbook t3pacademy.gumroad.com/l/AI-… 28. MCP + A2A Visual Playbook t3pacademy.gumroad.com/l/MCP… 29. DevOps CI/CD Mastery: 10 Steps to Build a Production-Ready Pipeline t3pacademy.gumroad.com/l/CI-… Pick one guide. Learn a concept. Put it into practice. All guides: t3pacademy.gumroad.com/ ~Tech Fusionist
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29 FREE Tech Visual Guides (cloud, devops, AI & cybersecurity)
🤖 Made with AI
29 visual guides to build your Cloud, DevOps & AI skills. 🚀 Bookmark this list for your next learning session & share 🔖 1. Cloud Security Visual Guide t3pacademy.gumroad.com/l/bhq… 2. Build AI Agents & Workflow Automation t3pacademy.gumroad.com/l/jqz… 3. DevOps Hiring Checklist t3pacademy.gumroad.com/l/qyp… 4. Cloud Landing Zone Visual Handbook t3pacademy.gumroad.com/l/tgy… 5. DevOps Roadmap t3pacademy.gumroad.com/l/vnp… 6. Linux Mastery: 53 Advanced Commands t3pacademy.gumroad.com/l/nqv… 7. GitHub Actions Visual Guide t3pacademy.gumroad.com/l/yrm… 8. AWS Containers Mastery t3pacademy.gumroad.com/l/ore… 9. System Design Visual Guide t3pacademy.gumroad.com/l/uta… 10. Disaster Recovery Visual Blueprint t3pacademy.gumroad.com/l/DR-… 11. Terraform Troubleshooting Guide t3pacademy.gumroad.com/l/Ter… 12. AWS Container & Serverless Troubleshooting t3pacademy.gumroad.com/l/AWS… 13. AWS Cloud Security Cheat Sheet t3pacademy.gumroad.com/l/aws… 14. AWS + Terraform Deployment Guide t3pacademy.gumroad.com/l/aws… 15. Linux Interview Handbook t3pacademy.gumroad.com/l/ogm… 16. AI Engineer Roadmap t3pacademy.gumroad.com/l/AI-… 17. AI Cheat Sheet for Beginners t3pacademy.gumroad.com/l/ai-… 18. AI Agent Builder’s Handbook t3pacademy.gumroad.com/l/mtu… 19. Generative AI Basics t3pacademy.gumroad.com/l/Gen… 20. MLOps for Beginners t3pacademy.gumroad.com/l/uwj… 21. AI Infrastructure Playbook t3pacademy.gumroad.com/l/xsh… 22. Docker 8-Days Visual Guide t3pacademy.gumroad.com/l/doc… 23. Kubernetes Production Readiness: 100 Checks Before You Go Live t3pacademy.gumroad.com/l/yqo… 24. From Cloud & DevOps to AI Engineer: The Career Transition Visual Playbook t3pacademy.gumroad.com/l/Clo… 25. LLM Inference: A Quick Visual Guide t3pacademy.gumroad.com/l/LLM… 26. 12-Day Docker Mastery: Beginner to Production Visual Guide t3pacademy.gumroad.com/l/ghw… 27. AI Observability & Evaluation Visual Playbook t3pacademy.gumroad.com/l/AI-… 28. MCP + A2A Visual Playbook t3pacademy.gumroad.com/l/MCP… 29. DevOps CI/CD Mastery: 10 Steps to Build a Production-Ready Pipeline t3pacademy.gumroad.com/l/CI-… Pick one guide. Learn a concept. Put it into practice. All guides: t3pacademy.gumroad.com/ ~Tech Fusionist
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Interviewed a Senior Backend Engineer today. Knew queues, Redis, databases — all of it. Then I asked: Users can set a reminder for any time in the future. 10 million reminders are pending. Each must fire within a second of its time. The engineer said: use setTimeout. Server restarts. 10 million timers vanish. Next idea: a cron job every minute that scans the reminders table. Full scan of 10 million rows, every minute. Silence. How would you design it? 👇
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Cisco OSPF Configuration!!! | CCNA 200-301 | IPCisco.com 🥇 Join IPCisco Gold Membership: buff.ly/smwGPGz 🏆All You Need to Be a Network Engineer!✨ ✅ Complete Network Courses ✅ Thousands of Practice Questions & Quizes ✅ Ready-to-use Packet Tracer & GNS3 Labs ✅ Complete Cheat Sheet Library ✅ Real World Interview Vaults ✅ Lifetime Content Updates #network #networkengineer #cisco
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How does Hibernate guarantee application-level repeatable reads vladmihalcea.com/hibernate-a…
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A beginner’s guide to JTA Transaction Type vladmihalcea.com/jta-transac…
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8 Deployment Patterns Engineers Should Know: These patterns all help ship changes, but what actually happens in each strategy is very different and they work at different layers. Infrastructure Layer 𝟭) 𝗥𝗼𝗹𝗹𝗶𝗻𝗴: the default for stateless services when two versions can safely overlap. Cheap to run, but rollback is just another slow rollout. 𝟮) 𝗕𝗹𝘂𝗲-𝗴𝗿𝗲𝗲𝗻: when you need fast rollback and can afford two environments. A shared database makes it harder than it looks. 𝟯) 𝗦𝗵𝗮𝗱𝗼𝘄: when you're rewriting a critical path and want to test it against real traffic first. You pay for duplicate load and must isolate side effects. 𝟰) 𝗜𝗺𝗺𝘂𝘁𝗮𝗯𝗹𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: when config drift keeps causing surprises. Replacing instances with tested images improves consistency, but requires reliable image builds and provisioning. Release Layer 𝟱) 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗳𝗹𝗮𝗴𝘀: when you want to decouple code deployment from releasing 100% of your changes to everyone instantly. Every flag is a code path you'll have to clean up. 𝟲) 𝗖𝗮𝗻𝗮𝗿𝘆: when a change is risky and your metrics catch regressions fast. A small group of real users still hits the bug. 𝟳) 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆: when you want to control exposure using real production signals. Rollouts can advance or stop based on metrics, but reliable observability is essential. 𝟴) 𝗔/𝗕 𝘁𝗲𝘀𝘁𝗶𝗻𝗴: when the question is "is this better?", not "is this safe?". Results need enough traffic to mean anything. But these patterns only protect the changes that actually use them. Feature flags can power canaries, A/B tests, and progressive rollouts. But deciding which changes need flags, setting rollout rules, and cleaning them up still falls to engineers. LaunchDarkly's new Release Autopilot uses AI agents to automate that setup. It classifies changes by risk, adds feature flags when needed, and progressively releases changes while monitoring live production signals against defined guardrails. It also helps clean up flags after release. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗔𝘂𝘁𝗼𝗽𝗶𝗹𝗼𝘁 → lucode.co/release-autopilot-… What else would you add? —— ♻️ Repost to help others learn deployment patterns. 🙏 Thanks to @LaunchDarkly for sponsoring this post. ➕ Follow me ( Nikki Siapno ) to improve at system design and AI.
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Raj S retweeted
Cisco DHCP Configuration!!! | CCNA 200-301 | IPCisco.com 🥇 Join IPCisco Gold Membership: buff.ly/smwGPGz 🏆All You Need to Be a Network Engineer!✨ ✅ Complete Network Courses ✅ Thousands of Practice Questions & Quizes ✅ Ready-to-use Packet Tracer & GNS3 Labs ✅ Complete Cheat Sheet Library ✅ Real World Interview Vaults ✅ Lifetime Content Updates #network #networkengineer #cisco
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How does SSH work?
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Case Today : Marriage of 3 years. No child. Wife suddenly tells husband she wants to live away because she is failing at her job and needs to focus to improve performance Husband gets to know she's cheating on him and job is just a facade He installs spycam in his bedroom. Wife & her lover caught in the act !! She was bringing her boyfriend home in absence of husband. GADAR !!!
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Sql count functions.
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OOP concepts with real-life examples! Which one is your favourite? 👇
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𝗠𝗖𝗣 𝘃𝘀 𝗥𝗔𝗚 𝘃𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀. 𝗠𝗖𝗣 is the connection layer. It gives AI systems a standard way to connect to external systems and capabilities. MCP servers expose tools for querying databases, calling APIs, or taking actions, without requiring custom integrations for every client. But it handles connectivity, not retrieval. That's where 𝗥𝗔𝗚 comes in. It searches your docs at query time, pulling relevant chunks into the prompt so answers can draw from your data. Keeping it current means updating an index, not retraining the model. In a basic RAG pipeline, the flow is straightforward: retrieve, then answer. Now with 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, the model runs in a loop: plan a step, call a tool, read the result, repeat until the goal is met. That handles multi-step tasks, at the cost of more latency, tokens, and failure points. So the choice comes down to the gap you're closing: access to systems, knowledge from your data, or action over many steps. But executing a task successfully doesn't necessarily mean it's still the right task. Priorities shift, budgets change, and teams move between projects. Both humans and AI agents can keep executing work that no longer aligns with the bigger plan. The problem is that strategy, capacity, spend, and execution data often live in different systems. By the time a quarterly review reveals the gap between plan and reality, time and budget have already been spent. Catching that drift early means continuously connecting what was planned with the work actually happening, across both human teams and AI agents. Tempo Loop brings together time, capacity, spend, and execution data in one unified view across human and AI-agent work. It answers a simple question without chasing status updates: Are we still working on the right things? When something drifts, Loop identifies the gap, recommends corrective actions with tradeoff context, and orchestrates approved changes back into the systems teams already use, like Jira. 𝗔𝗴𝗲𝗻𝘁𝘀 𝗹𝗼𝗼𝗽 𝗼𝗻 𝘁𝗮𝘀𝗸𝘀. 𝗧𝗵𝗶𝘀 𝗼𝗻𝗲 𝗹𝗼𝗼𝗽𝘀 𝗼𝗻 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀. 𝗦𝗲𝗲 𝗵𝗼𝘄 𝗧𝗲𝗺𝗽𝗼 𝗟𝗼𝗼𝗽 𝘄𝗼𝗿𝗸𝘀 → lucode.co/tempo-loop-z71xd What else would you add? —— ♻️ Repost to help others learn AI. 🙏 Thanks to @TempoHQ for sponsoring this post. ➕ Follow me ( Nikki Siapno ) to improve at AI and system design.
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Raj S retweeted
Routing Protocols!!! | CCNA 200-301 | IPCisco.com 🥇 Join IPCisco Gold Membership: buff.ly/smwGPGz 🏆All You Need to Be a Network Engineer!✨ ✅ Complete Network Courses ✅ Thousands of Practice Questions & Quizes ✅ Ready-to-use Packet Tracer & GNS3 Labs ✅ Complete Cheat Sheet Library ✅ Real World Interview Vaults ✅ Lifetime Content Updates #network #networkengineer #cisco
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HLD Interview Notes: Day 17/30 Topic: CDN: Content Delivery Networks and Edge Caching Imagine millions of users accessing images, videos, CSS, and JavaScript files. If every request reaches your origin server, latency increases and the server can become overloaded. How do we deliver content faster? That's where a CDN comes in. What Is a CDN? A Content Delivery Network (CDN) is a geographically distributed network of servers that delivers content from locations closer to users. It helps improve: • Content delivery speed • Global application performance • Availability • Origin server scalability • Bandwidth efficiency How Does a CDN Work? Without a CDN: User → Origin Server → User Every request travels to the origin server, even when users are geographically far away. With a CDN: User → Nearby CDN Edge → User The CDN checks whether the requested content is cached. • Cache Hit: Returns content directly from the edge server. • Cache Miss: Fetches content from the origin server and may cache it for future requests. What Is Edge Caching? Edge caching stores frequently requested content on CDN servers closer to users. Example: An e-commerce website serves the same product image to thousands of users. Instead of repeatedly fetching it from the origin server, the CDN stores a copy at an edge location. Benefits: • Lower latency • Reduced origin traffic • Faster content delivery • Better handling of traffic spikes What Is Cache TTL? TTL stands for Time To Live. It determines how long cached content remains valid before it needs to be refreshed or revalidated. Example: A product image is cached for 24 hours. After the TTL expires, the CDN can fetch a fresh version or revalidate the existing copy. Common techniques: • Cache-Control headers • ETag validation • Versioned URLs • Cache invalidation What Is Cache Invalidation? Cache invalidation removes or marks cached content as stale when the original content changes. Example: A seller updates a product image, but the CDN still stores the old version. Common solutions: • Cache Purging: Remove cached content. • Versioned URLs: Use a new URL for updated content. • TTL Expiration: Let cached content expire. • Revalidation: Check content freshness using ETags. CDN vs Origin Server Origin Server: Stores the original content and handles requests when the CDN cannot serve a valid cached response. CDN Edge Server: Stores cached copies closer to users and handles repeated requests. Remember: The origin is the source of truth. The CDN improves content delivery. What Content Should Be Cached? Static Content: • Images • CSS and JavaScript • Fonts • Videos • Documents Dynamic Content: Personalized data, account information, and frequently changing responses require careful caching rules. Incorrect caching can expose private data or serve outdated information. Where Is It Used? • E-commerce platforms • Video streaming applications • Social media platforms • Gaming platforms • News websites • Software download platforms Popular providers: Cloudflare, Amazon CloudFront, and Akamai. Common Interview Mistakes • Confusing CDN with a load balancer. • Assuming every request is a cache hit. • Ignoring cache invalidation. • Choosing an inappropriate TTL. • Caching sensitive data incorrectly. • Forgetting origin fallback. • Assuming a CDN automatically improves database performance. Interview Questions What is a CDN? How does a CDN reduce latency? What is an edge server? Cache Hit vs Cache Miss? What is Edge Caching? What is TTL? How does cache invalidation work? CDN vs Load Balancer? How are cache misses handled? How would you design a global image delivery system? FAANG Takeaway A CDN improves application performance by distributing cached content across geographically distributed edge servers. The key decisions are: • What should be cached? • How long should it be cached? • How should stale content be refreshed? Remember: CDN brings content closer to users. Edge caching reduces repeated requests to the origin server. Next: Day 18/30 Rate Limiting: Controlling Traffic in Distributed Systems
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Cybersecurity Learning Plan (6 weeks, 42 days)
Cybersecurity in 6 Weeks: Zero to Practical Skills 🔐 Week 1: Networking & Linux Fundamentals Day 1: TCP/IP, OSI Model Day 2: DNS, HTTP/HTTPS, SSH Day 3: IP Addressing, Subnets, Ports Day 4: Linux Commands & Permissions Day 5: Firewalls, VPNs & Protocols Day 6: Wireshark & Packet Analysis Day 7: Hands-on Networking Lab Week 2: Cybersecurity Fundamentals Day 8: CIA Triad & Security Principles Day 9: Common Cyberattacks & Threats Day 10: Encryption, Hashing & PKI Day 11: Authentication, MFA & IAM Day 12: Vulnerabilities, CVEs & CVSS Day 13: OWASP Top 10 Day 14: Security Assessment Lab Week 3: Ethical Hacking & Penetration Testing Day 15: Ethical Hacking Methodology Day 16: Nmap & Network Scanning Day 17: Vulnerability Assessment Day 18: Burp Suite & Web Security Day 19: SQL Injection & XSS Basics Day 20: Metasploit Fundamentals Day 21: Practice on Legal CTF Labs Week 4: SOC & Defensive Security Day 22: SOC Operations & Blue Team Day 23: SIEM & Log Analysis Day 24: Splunk / Wazuh Basics Day 25: IDS, IPS & EDR Day 26: MITRE ATT&CK Framework Day 27: Threat Hunting & Detection Day 28: Build a Mini SOC Lab Week 5: Cloud Security & DevSecOps Day 29: AWS / Azure Security Basics Day 30: Cloud IAM & Least Privilege Day 31: Cloud Logging & Monitoring Day 32: Container & Kubernetes Security Day 33: SAST, DAST & Dependency Scanning Day 34: Secrets Management & Zero Trust Day 35: Secure a Cloud Application Week 6: Incident Response & Real Projects Day 36: Incident Response Lifecycle Day 37: Digital Forensics Fundamentals Day 38: Malware Analysis Basics Day 39: Security Automation with Python Day 40: AI Security & Prompt Injection Day 41: Cybersecurity Interview Scenarios Day 42: Final Project + GitHub Portfolio 42 Days. 6 Weeks. 6 Practical Labs. Don't just memorize security tools. Learn how attacks work, how to detect them, and how to defend real systems. Save this roadmap and start building your cybersecurity skills. 🔖
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Senior backend interview question: A Node.js service gets OOM-killed every 9 hours. Heap snapshots look normal. Never reproduces locally. No obvious leak in the code. What are you checking first?
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Cybersecurity Learning Plan (6 Weeks, 42 days)
Cybersecurity in 6 Weeks: Zero to Practical Skills 🔐 Week 1: Networking & Linux Fundamentals Day 1: TCP/IP, OSI Model Day 2: DNS, HTTP/HTTPS, SSH Day 3: IP Addressing, Subnets, Ports Day 4: Linux Commands & Permissions Day 5: Firewalls, VPNs & Protocols Day 6: Wireshark & Packet Analysis Day 7: Hands-on Networking Lab Week 2: Cybersecurity Fundamentals Day 8: CIA Triad & Security Principles Day 9: Common Cyberattacks & Threats Day 10: Encryption, Hashing & PKI Day 11: Authentication, MFA & IAM Day 12: Vulnerabilities, CVEs & CVSS Day 13: OWASP Top 10 Day 14: Security Assessment Lab Week 3: Ethical Hacking & Penetration Testing Day 15: Ethical Hacking Methodology Day 16: Nmap & Network Scanning Day 17: Vulnerability Assessment Day 18: Burp Suite & Web Security Day 19: SQL Injection & XSS Basics Day 20: Metasploit Fundamentals Day 21: Practice on Legal CTF Labs Week 4: SOC & Defensive Security Day 22: SOC Operations & Blue Team Day 23: SIEM & Log Analysis Day 24: Splunk / Wazuh Basics Day 25: IDS, IPS & EDR Day 26: MITRE ATT&CK Framework Day 27: Threat Hunting & Detection Day 28: Build a Mini SOC Lab Week 5: Cloud Security & DevSecOps Day 29: AWS / Azure Security Basics Day 30: Cloud IAM & Least Privilege Day 31: Cloud Logging & Monitoring Day 32: Container & Kubernetes Security Day 33: SAST, DAST & Dependency Scanning Day 34: Secrets Management & Zero Trust Day 35: Secure a Cloud Application Week 6: Incident Response & Real Projects Day 36: Incident Response Lifecycle Day 37: Digital Forensics Fundamentals Day 38: Malware Analysis Basics Day 39: Security Automation with Python Day 40: AI Security & Prompt Injection Day 41: Cybersecurity Interview Scenarios Day 42: Final Project + GitHub Portfolio 42 Days. 6 Weeks. 6 Practical Labs. Don't just memorize security tools. Learn how attacks work, how to detect them, and how to defend real systems. Save this roadmap and start building your cybersecurity skills. 🔖
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