Technical Requirements for ML News Processing
Getting started with our system is straightforward, but there are a few technical pieces you'll want to have in place. We've worked with dozens of financial firms across Vietnam since early 2024, and these requirements reflect what actually works in real-world deployments.
Finding Your Starting Point
Most teams we work with fall into one of three categories. Your infrastructure probably already handles some of what we need—it's just a matter of figuring out where the gaps are.
The good news? We've built the system to work with what you've got. No need to rip everything out and start over.
Already Running Data Pipelines?
If you're processing financial data feeds right now, you're about 70% there. Our API slots into existing workflows pretty cleanly. We've integrated with systems running on AWS, Azure, and even some custom on-premise setups in Ho Chi Minh City financial districts.
Starting From Scratch?
No problem. We can recommend infrastructure partners in Vietnam who specialize in financial data systems. Usually takes about 6-8 weeks to get a basic environment ready for deployment. The September 2025 cohort had three teams go this route.
Hybrid Setup?
This is actually the most common scenario. You've got some cloud resources, maybe a local server handling sensitive data, and you're figuring out how to connect everything. We work with this all the time—it just requires a bit more planning upfront.
Infrastructure Layer
At the foundation, you'll need compute resources that can handle real-time API calls. We're talking about processing news articles as they hit the wire—sometimes hundreds per hour during market volatility.
Minimum spec: 4 CPU cores, 16GB RAM, 100GB storage. That gets you started. For production loads handling Vietnamese and regional markets, most teams scale up to 8-16 cores within the first quarter.
- Cloud or on-premise both work fine
 - Linux-based systems preferred but not required
 - Network latency under 50ms to major Southeast Asian financial data centers
 - SSL/TLS 1.3 support for secure API communication
 
Data Storage and Access
You'll need somewhere to keep processed results. Our system generates structured data from unstructured news—think sentiment scores, entity extraction, topic classification.
PostgreSQL works great. So does MongoDB if you prefer document storage. We've even seen teams use both for different purposes. The key is having a database that can handle time-series queries efficiently.
- Database size grows about 5-10GB per month with typical usage
 - Backup strategy required—we've seen data loss hurt teams before
 - Read performance matters more than write speed
 
Integration Points
This is where it gets specific to your setup. Our REST API needs to talk to your trading systems, risk management tools, or research platforms.
Most integrations take 2-4 weeks to build and test properly. That's assuming you've got developers who know your existing systems well. If you're bringing in outside help, add another week or two.
- JSON-based request/response format
 - Webhook support for real-time alerts
 - Rate limiting: 1000 requests per hour on standard plans
 - API keys with role-based permissions
 
Deployment Options Compared
There's no one-size-fits-all here. We've seen successful deployments using each of these approaches. It really depends on your team's technical capabilities and how much control you want over the infrastructure.
          Linh Bui
Integration Specialist
Linh has walked about 30 teams through their first deployment since joining us in 2024. She knows where things usually get stuck—database permissions, firewall rules, that sort of thing. Her background is in banking IT, so she gets the security concerns financial firms deal with.
          Thao Phan
Infrastructure Consultant
Thao helps teams size their infrastructure correctly. She's worked with everyone from boutique trading firms in District 1 to larger institutional players. Her approach is practical—she'll tell you when you're over-engineering and when you actually need more capacity.
        
        Ready to Discuss Your Setup?
Every deployment is a bit different. We're happy to review your current infrastructure and talk through what makes sense for your situation. No sales pressure—just technical people helping technical people.
Get in Touch