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Speed isn’t just a frontend problem.
When users experience slowness, it’s rarely isolated to one layer. Fast, fluid products depend on fullstack performance—tight APIs, optimized rendering, clean data flow, and smart infrastructure.
At TLVTech, we’ve worked with startups across stages to make apps feel fast—from load to interaction. Here’s how we think about fullstack optimization: what we look for, what we fix, and what actually matters in production.
The frontend often makes multiple requests to load a page, pulling in user data, preferences, and related entities.
What we do instead:
GET /dashboard returns all UI-ready data)Fewer round-trips = faster perceived speed.
Client-side rendering feels fast in dev—but users often wait longer for the first meaningful paint.
When we switch to SSR or hybrid rendering:
We typically use Next.js for React-based apps—solid SSR, routing, and caching flexibility.
Don’t ship the whole app on first load.
What we optimize:
Frontend load should feel immediate—then enrich as the user interacts.
Caching is a fullstack problem.
Frontend: Cache assets, fonts, and public API responses.
Backend: Use Redis or edge caches for frequently accessed data.
Infra: CDN everything static, and use smart cache headers.
We aggressively cache where we can, with clear rules for invalidation. This is one of the biggest wins for perceived performance.
Slow queries = slow APIs = slow frontend.
Our common fixes:
We monitor query performance from day one—because no frontend tricks fix a laggy DB.
APIs shouldn’t just “work”—they should be tuned.
Our practices:
We build APIs for how the frontend actually uses them—not just as wrappers over the database.
You can’t optimize in a vacuum.
We use:
Optimization starts with visibility.
They just feel it. That’s why we look at fullstack systems holistically. Fast backend + slow frontend = slow. Optimized frontend + overloaded API = still slow.
At TLVTech, we help startups build fast, clean, and scalable fullstack apps. If you’re looking to improve speed without rewriting everything, let’s talk.
- The Backend for Frontend (BFF) pattern helps create seamless user experiences by having a unique backend for each user-facing frontend. - BFF optimizes data transfer, preventing irrelevant data from being sent to each frontend and thus improving efficiency. - To implement BFF, design an API layer for each user experience, which results in codebases tailored to specific interface needs, simplifying development, and boosting performance. - BFF offers segregation of concerns, potential for code reuse, and flexibility in making user interface changes. - Drawbacks include redundancy risk and requirement for a new BFF for each user interface. - Suitable languages for implementing BFF include Python, JavaScript, C#, Java, Node.js, and TypeScript. - BFF vs. alternatives like API Gateway or Load Balancers depends on the need for custom user interface vs simplicity and performance optimization. - BFF is beneficial when dealing with multiple frontends needing tailored experiences, while API Gateway is better for unified APIs and scalability.
- An MVP (Minimum Viable Product) is a simplified version of a product created to meet core businesses objectives. - It's an integral component in project management, aiding in aligning directly with business goals whilst testing ideas, conserving resources, and delivering value expeditiously. - The concept of MVP evolved from the Lean Startup Methodology to handle the problem of squandering time on projects unlikely to succeed. - It's an essential step in the Agile project management approach, playing a significant role by testing ideas and conserving resources.
- Jenkins is an open-source tool for continuous integration and continuous delivery (CI/CD). - Plays a crucial role in speeding up software updates and bug fixes, reducing manual workload, and ensures smoother operations in DevOps. - Setting up Jenkins involves downloading the correct version, installing it on your system, and setting up the admin account. Docker can help manage it better. - Creating a Jenkins pipeline requires establishing a new job on the Jenkins dashboard, naming it, and defining your pipeline through a script or Pipeline script from the SCM. - Jenkins can integrate with GitHub, AWS, Kubernetes, and Agile methodologies for effective CI/CD practices. - Troubleshooting Jenkins pipelines involves understanding pipeline syntax details, evaluating code lines, and learning from real-world pipeline examples. - Mastering Jenkins involves undertaking training courses, tutorials, or hands-on guides, and an understanding of best practices.
