consulting

How to get more customers with Google Ads

Allan Porras

14 Nov 2016

Building a product or service is as important as selling it. So, the passion must be the same.

We were helping startups to buil their products, now we are ready to help startups to get real customers by the best and smart way: online advertising.

Please, take a look at the following video on how Google Adwords can help you to get more customers by reaching the right people at the right time.

Then, contact us and let us advise you.

How to Optimize Your Database Performance for High-Traffic Applications

In high-traffic application environments, the database is often the first and most critical bottleneck. As transaction volume scales, latency creeps in, user experience degrades, and system-wide failures become a looming threat. A reactive approach—throwing more hardware at the problem—is a temporary and costly fix. A proactive, multi-layered optimization

How to Architect a Multi-Tenant SaaS Application on Kubernetes

Architecting a Multi-Tenant SaaS Application on Kubernetes Multi-tenancy is a foundational architectural principle for most Software-as-a-Service (SaaS) products, enabling cost-effective scaling by serving multiple customers (tenants) from a single application instance. Kubernetes has emerged as the de facto standard for orchestrating containerized applications, but architecting a secure, scalable, and isolated

A Practical Guide to FinOps: Implementing Cloud Unit Economics

The migration to the cloud promised utility-style billing and unprecedented scalability, but it also introduced a new class of financial complexity. For many organizations, the monthly cloud bill remains an opaque, monolithic figure, disconnected from the business value it generates. This disconnect is a significant risk, inhibiting accurate forecasting, eroding

Implementing Federated Learning: A Privacy-Preserving AI Approach

Federated Learning (FL) represents a fundamental shift in how we build large-scale machine learning models. Instead of the traditional, centralized paradigm—where vast datasets are aggregated into a single data center for training—FL brings the model to the data. This decentralized approach is no longer a theoretical curiosity; it

Read more

How to Optimize Your Database Performance for High-Traffic Applications

How to Architect a Multi-Tenant SaaS Application on Kubernetes

A Practical Guide to FinOps: Implementing Cloud Unit Economics

Implementing Federated Learning: A Privacy-Preserving AI Approach