FlowSight Accepted into MongoDB for Startups Program

Tactical Tech Tip for Startups Ever feel like your startup's tech stack is a Frankenstein monster slowing you down? Here's a dead-simple tactic I used at NetZeroAI to cut deployment time by 40%: Switch to a microservices architecture with Docker and Kubernetes, but start small—containerize just your API endpoints first. Map out your monolith's pain points (like slow scaling during peak user loads), break them into services, and use Helm charts for easy orchestration. Test locally with Minikube, then deploy to a cheap cloud like DigitalOcean. We went from weekly outages to zero-downtime updates in a month. Actionable? Grab your terminal, run docker build -t myapi . today, and watch your engineers high-five. Founders, what's your go-to stack hack? #Startups #TechTips #NetZeroAI

I published an article about CloudGuard NG on the AWS Builder Center yesterday. Within hours, AWS Community Builders were already testing it on their own accounts and dropping feedback. This is the validation that matters most to me, not likes or views, but real engineers finding real value in something I built. CloudGuard NG started as a solution to a problem I kept seeing across African startups. But feedback like this shows the problem is bigger than Africa. Every team building on AWS deserves a fast, free way to catch dangerous misconfigurations before they become incidents. 🔍 Try it: cloudguard-ng.vercel.app 📖 Full article: https://lnkd.in/dr7RfENr #CloudSecurity #AWS #DevOps #OpenSource #AfricanTech #MadeInNigeria #AWSCommunity #CloudGuard #Startup

Made in NYC with AWS: Daniel Hesslow, Co-founder, Adaptive ML. Learn more: https://go.aws/4maC9wt Unlocking US $300,000 in AWS Activate Credits has helped the startup bootstrap early & move fast without worrying about costs. That movement has included a relocation to New York, a city that ‘matches the velocity of startups.’

They look fine… until they cost you $10k. Most Lambda problems don’t start as bugs. They start as “this should be fine.” Until it isn’t. I’ve seen workflows that looked clean, passed reviews, and still ended up wasting thousands in production. Not because of scale. Because of design decisions that were invisible early on. Here I breaks down the red flags I watch for before things go sideways. If you’re building with serverless, this is where most of the hidden risk sits. Curious if you’ve run into any of these in your own systems. #Serverless #AWS #Lambda #SoftwareArchitecture #CloudEngineering #Startups #AIEngineering

Excited to share that Numezis has been accepted into the MongoDB for Startups program! This means we now run on a dedicated MongoDB Atlas cluster in Zurich, Switzerland — keeping our infrastructure close to where our clients operate and where data sovereignty matters most. For a Swiss fintech building the next generation of finance management tools, having the right infrastructure partners is everything. MongoDB gives us the performance and flexibility we need to scale reliably. One more step forward in building Numezis the right way — solid tech, strong ecosystem, Swiss roots. If you're building in fintech or curious about what we're working on → numezis.com #MongoDB #Fintech #Startup #Switzerland #WealthTech #Numezis #MongoDBforStartups

Most founders make one mistake when applying for AWS credits: They apply too early. No clear use case. No defined architecture. No real plan to use the credits. And then wonder why they don’t get the full benefit. AWS isn’t just looking for ideas, it’s looking for builders who are ready to scale. Even simple things can make a big difference: • A working MVP • Clear cloud usage plan • Basic architecture thinking • Credibility like Startup India recognition Because credits aren’t just about approval. They’re about how effectively you use them. Swipe through before you apply, it could save you time, money, and missed opportunities. #AWS #StartupIndia #CloudCredits #StartupTips #Founders #TechStartups #CloudComputing #StartupGrowth

Microservices vs. Monolith vs. Serverless: Why Most Startups Choose Wrong Microservices look serious, serverless sounds modern, and monoliths get dismissed as legacy. The reality is more nuanced — and the wrong choice costs more than most founders expect. https://lnkd.in/dg4sCCH9

Basilisk Labs Inc. has been accepted into the MongoDB Startup Accelerator programme and awarded funding in an undisclosed sum to support data infrastructure and product development on MongoDB Atlas. https://lnkd.in/eDY35XfV

[Tech Community] Advice for Startups: Build Without Waiting with Replit. Before a single feature is tested, founders often find themselves setting up environments, choosing frameworks, and trying to learn just enough to get... #azure #techcommunity https://lnkd.in/evA7th8j

Understanding AWS pricing models can feel overwhelming at first, but choosing the right one makes a huge difference—especially for startups and learners. In my opinion, the Pay-as-you-go (On-Demand) model is the most useful starting point. It gives complete flexibility with no upfront commitment, which is perfect when you're still experimenting, building projects, or unsure about usage patterns. You only pay for what you use, making it low-risk and beginner-friendly. For startups, this model allows quick scaling without long-term financial pressure. Once the workload becomes stable, they can gradually move to cost-saving options like Savings Plans or Reserved Instances. In short, start flexible, learn fast, and optimize later. 🚀 @TrainWithShubham #AWS #CloudComputing #DevOps #Startups #Learning #Tech