Blog
Putting our heads together.
04/29/2025
Build vs. Buy Real-Time Data Solutions: What’s Best?
Choosing between building or buying real-time data solutions is a strategic move. The right decision will position your business for long-term success and scalability. So, how do you determine which path will drive the most value?
Deciding whether to build or buy a real-time data solution? Explore the challenges and key trade-offs, and how to choose the best fit to scale your business.
04/27/2025
Cloud Data Warehouse Architecture: The Backbone of Modern Data Management
Collecting information is one thing; storing it the right way is another challenge. Modern businesses need dynamic, scalable systems that turn raw data into real insights—and that's where cloud data warehouse architecture comes in.
Explore the key components, models, and best practices for an effective cloud data warehouse architecture and how NaNLABS can guide and support you.
04/23/2025
Cloud Data Engineering for EV Charging Networks: 3 Business Challenges You Can Solve Today
Scaling an EV charging network isn’t easy. From choosing the right sites to minimizing downtime without blowing the budget, it's smart data use that makes it possible.
Explore how Cloud Data Engineering can help solve common EV Charging Network challenges, including data fragmentation, uptime, and operational costs.
04/20/2025
How NaNLABS Developed a Cloud Native Observability Platform and Optimize Data Processing For An EV Charging Company
An EV charging company needed to design a scalable, cloud-native data architecture to process information, gain insights fast, and improve reliability. Learn how NaNLABS supported them to achieve these goals.
An EV charging company needed to access data coming from multiple EV charging stations. Along with NaNLABS, it built an observability tool to drive insights, here's how.
04/03/2025
How we Turned an Internal Tool Into a SaaS Platform With 75% Faster Query Response Times For Equinix
Turning an internal tool into a SaaS platform is about more than adding features. It’s about ensuring performance, reliability, security, and availability for all users. Here’s how NaNLABS and Secretly Nice helped Equinix tackle these challenges.
Learn how NaNLABS migrated Equinix’s sales platform to a multi-tenant architecture, boosting performance while reducing infrastructure costs.
03/27/2025
Reducing Fleet Downtime: How Real-Time Data Analytics Drives Operational Excellence
Every minute an EV fleet is out of service means lost revenue, inefficiencies, and customer dissatisfaction. Discover how real-time analytics can transform your operations to minimize downtime and optimize costs.
Downtime isn’t just an operational challenge—it’s a strategic risk that affects revenue, asset utilization, and scalability. In an uptime-critical industry, reactive maintenance isn’t enough; real-time insights are the key.
03/26/2025
In-House vs. Outsourced Data Engineering: Which is Best for Your Business?
Data collection, processing, and analysis are essential for gaining a competitive edge and driving innovation. But should you build this capability in-house or outsource to data engineering experts? Let’s break down the pros and cons.
Building, managing, and scaling efficient data pipelines requires a skilled team. The question is—should you develop that expertise in-house or leverage an external team to drive smarter, data-driven decisions?
03/06/2025
From Startup to Acquisition: How We Helped WootCloud Cut Costs by 44% Through Data Engineering and Cloud Optimization
Unreliable architecture, slow data processing, and high costs were preventing WootCloud, an IoT security company, from growing. See how we enabled it to scale, leveraging a serverless architecture, AI/ML models, and cloud-native solutions.
We helped a device context platform scale, cut costs by 44%, and get acquired by optimizing the cloud infrastructure and building real-time data pipelines.