Free consultation call
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 CTO drives innovation and revenue through cutting-edge products, while the CIO streamlines internal IT to boost efficiency and reduce costs. Together, they balance external growth and internal optimization, ensuring businesses thrive in a tech-driven world.
AI can elevate your product—if it’s integrated the right way. This post shares practical tips for making AI features feel intuitive, helpful, and natural—not awkward or overengineered.
- DevOps significantly upgrades project management by enhancing speed, quality, and fostering collaboration. - It disrupts traditional project management by creating synchronous work patterns, promoting agile practices. - Benefits of integrating DevOps include improved efficiency, increased speed, high-quality outputs, and excellent teamwork. - Best practices for DevOps project management encompass task automation, early & continuous delivery, maintaining open communication, and promoting a blame-free culture. - Challenges faced during integration involve resistance to change, tool selection, and security concerns. - Azure DevOps has become indispensable for project management by bringing together development and operations teams, supporting Agile practices, and aiding in continuous integration & deployment. - Azure DevOps unique features include Azure Test Plans for handling testing needs, and Azure Artifacts for integrating package sharing into pipelines. - DevOps project management certifications like 'AWS Certified DevOps Engineer', 'Microsoft Certified: Azure DevOps Engineer Expert', and 'Google Professional DevOps Engineer' enhances project management skills. - A DevOps engineer's salary varies based on factors like experience, location, and market conditions, with average annual salaries ranging from $75k for entry-level engineers to over $120k for seasoned professionals.
