Siddhant Agarwal’s Post

Moving from LLM prompts to autonomous agents requires a shift in architecture. #GoogleCloud has collaborated with Janakiram MSV to release a Mastering Google ADK technical guide for developers 🧑💻 It covers the full lifecycle: Foundation (Gemini API), Building with Tools (MCP), and Deployment. A valuable, self-paced resource for anyone building on Google Cloud stack! Start learning today ➡️ https://lnkd.in/dttkgmjd

Moving from LLM prompts to autonomous agents requires a shift in architecture. #GoogleCloud has collaborated with Janakiram MSV to release a Mastering Google ADK technical guide for developers 🧑💻 It covers the full lifecycle: Foundation (Gemini API), Building with Tools (MCP), and Deployment. A valuable, self-paced resource for anyone building on Google Cloud stack! Start learning today ➡️ https://lnkd.in/eWZpmt5Z

Moving from LLM prompts to autonomous agents requires a shift in architecture. #GoogleCloud has collaborated with Janakiram MSV to release a Mastering Google ADK technical guide for developers 🧑💻 It covers the full lifecycle: Foundation (Gemini API), Building with Tools (MCP), and Deployment. A valuable, self-paced resource for anyone building on Google Cloud stack! Start learning today ➡️ https://lnkd.in/gvzu6Pi9

Moving from LLM prompts to autonomous agents requires a shift in architecture. #GoogleCloud has collaborated with Janakiram MSV to release a Mastering Google ADK technical guide for developers 🧑💻 It covers the full lifecycle: Foundation (Gemini API), Building with Tools (MCP), and Deployment. A valuable, self-paced resource for anyone building on Google Cloud stack! Start learning today ➡️ https://lnkd.in/gd5ZEJ6f

So I just saved a ton of money. It's crazy. I used to shell out $120 every month for my SaaS on AWS - now I'm paying a whopping $44/month on DigitalOcean. That's a huge difference, right? And the best part? I made the switch in just 4 hours, with zero downtime. Here's what happened: I had a pretty standard setup on AWS, with all the bells and whistles - EC2, RDS, ElastiCache, ALB, S3, the whole shebang. But I was determined to migrate to DigitalOcean and cut costs. That's when I brought in Claude Code, my trusty pair programmer, to help me navigate the process. Claude generated these super helpful workflows to set up my new infrastructure on DigitalOcean, and we got to work. Of course, we hit some bumps along the way - but Claude was on it, fixing issues and updating the workflows in no time. And let me tell you, I learned some valuable lessons along the way: like, verify those variable names, or you'll be debugging for hours. And don't even get me started on nginx proxy_pass - it's trickier than it looks. But the biggest takeaway? With AI assistance, switching cloud providers doesn't have to be a massive project that takes weeks. It's a total game-changer. AI is revolutionizing the cloud provider landscape, and I'm not just talking about cost savings - I'm talking about innovation, strategy, and creativity. So, if you're looking to make the switch, don't be afraid to explore your options. Check out this article for more info: https://lnkd.in/gpE7aViV And if you want to join a community of like-minded folks, head over to: https://t.me/GyaanSetuAi #CloudComputing #DigitalTransformation #Innovation

Reading existing code is one of the most expensive, invisible bottlenecks in #softwaredevelopment. Onboarding, deciphering legacy systems, and contributing to open source. Sometimes hours or days go into understanding before writing a single line. Documentation helps, until it freezes in time while the code keeps moving. Google's new #CodeWiki uses AI to create living documentation that evolves with the codebase. Less archeology, more momentum. And a fundamentally better way for developers to understand and collaborate at scale. Check out our blog, "Stop Documenting, Start Understanding: A Deep Dive into Google's Code Wiki" 👉 https://lnkd.in/dbnpyef3 #kartaca #cloud 

Is your cloud infrastructure actually working smarter, or just working harder? Google Cloud Platform (GCP) isn't just competing in the cloud race, it’s defining the future of AI and data analytics. By leveraging the same massive infrastructure behind Google Search and YouTube, GCP offers unmatched prowess with BigQuery for real-time insights, while Google Kubernetes Engine (GKE) sets the absolute gold standard for container orchestration. It’s about having a stack that is built for intelligence, speed, and seamless scalability from day one. Beyond raw performance, the real competitive advantage lies in operational efficiency. GCP’s transparent, developer-friendly pricing model means you stop paying for complexity and start investing in actual innovation. If you are ready to modernize your architecture with the power of BigQuery and GKE, you don't have to navigate the transition alone. At Mahity, we specialize in mapping out precise, high-impact migration strategies tailored to your specific business goals. Ready to future-proof your infrastructure? Drop a comment below or DM us to schedule your Mahity migration consultation today. #CloudComputing #DisasterRecovery #BusinessContinuity #CloudSecurity #DigitalTransformation #CloudArchitecture #GCP #Resilience #BigQuery #GKE #AI #EnterpriseIT #DataProtection #TechLeadership #BFSI #Mahity

In my experience, Google Cloud Platform works best when you design for analytics first. I have used Cloud Storage as a governed landing zone, built scalable batch and streaming pipelines using Dataflow, and modeled curated datasets in BigQuery for enterprise reporting and regulatory analytics. What stood out consistently was how GCP simplifies operations while still handling high-volume, complex workloads with strong performance, security, and cost visibility. That balance is what makes GCP effective for building reliable, business-ready data platforms. #GCP #GoogleCloud #DataEngineering #BigQuery #DataArchitecture #CloudAnalytics

I’m excited to share two hands-on Golang projects I recently completed that showcase how powerful, scalable, and cloud-ready Go is in today’s tech ecosystem. 🌤️ Project 1: Weather Server API (Golang) I built a Golang HTTP server that integrates with the National Weather Service (NWS) API to deliver real-time forecast data. 🔹 Accepts latitude & longitude 🔹 Returns today’s short forecast (e.g., “Partly Cloudy”) 🔹 Categorizes temperature as hot, moderate, or cold 🔹 Fully documented step-by-step in the README 👉 Repo: https://lnkd.in/eKMV7tQq 👉 NWS API: https://lnkd.in/ee2dmi63 ☁️ Project 2: Golang on Google Cloud A simple but powerful project demonstrating Golang integration with Google Cloud—ending with a successful deployment message: “HELLO FROM GO ON GOOGLE CLOUD” 👉 Repo: https://lnkd.in/eKFtcJY3 💡 Why Golang matters in today’s tech field: ✅ High performance & compiled speed (ideal for APIs and microservices) ✅ Excellent concurrency with goroutines ✅ Cloud-native and container-friendly (perfect for AWS, GCP, Kubernetes) ✅ Simple syntax, easy maintenance, and strong standard library ✅ Widely used by companies building scalable, distributed systems 👨🏿💻I’ve written step-by-step documentation in both repositories so anyone can clone, run, test, and learn from these projects at any time. #Golang #CloudEngineering #APIDevelopment #GoogleCloud #BackendDevelopment #DevOps #OpenSource #SoftwareEngineering

Google currently has an offer that gives you $330 in cloud credits for $30, along with full API key access. With this, you can use Google’s models directly to generate images, video, and text — without relying on the consumer-facing Gemini app. That also means no watermarks on your generations. Because you’re working through the API (not the Gemini UI), you get significantly more flexibility. One common issue with Gemini is that it often refuses to generate images based on character sheets, assuming you’re trying to recreate a real or famous person — even when the character is fully original. Using the API removes most of these limitations. In practice, it just generates what you ask for, without unnecessary friction. If you’re experimenting with generative media or building on top of Google’s models, this is easily one of the best low-cost ways to get started. 👉 https://lnkd.in/etBhJDmU