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.
- Software consulting companies help businesses navigate digital transformations by providing services such as analysis, design, implementation, and testing of software solutions. - They understand business requirements and tailor software solutions to meet those needs. - Software engineer advisors manage and streamline software development projects, provide advice, and train internal teams. - Consulting in software engineering informs strategy, drives operations, and ensures projects are on track. - Top software consultants have proven track records, specific technical expertise, and positive client feedback. - Software consulting companies function on both a local and global level, helping their clients navigate tech regulations, industry standards, and trends. - Emerging trends include data-driven decision-making, AI, and machine learning. Challenges consist of the rapidly evolving tech landscape. - Mobile consulting assists in the creation of mobile applications, cybersecurity consulting ensures the protection of digital assets, and software testing consultants find and fix potential bugs or issues.
- Google Vision API is a machine learning tool capable of analyzing images, and can identify objects, texts, faces, and landmarks. - The API can be integrated by creating a project on Google Cloud Console, enabling the API for the project, and making REST API calls. - Key functionalities include optical character recognition with translation capability, object and face detection, image analysis, and detection of explicit content. - To get started, install Google Vision API using Python and 'pip install', then setup for image recognition by: creating a Google Cloud Project, enabling Vision API, downloading a private key, and pointing the `GOOGLE_APPLICATION_CREDENTIALS` variable to that key. - Google Vision API operates with a tiered pricing structure; it isn't free, and cost increases with use. - AutoML, integrated in Google Vision API, simplifies model training by automating the process. It works both online and offline, categorizes images, and detects objects. - To code with Google Vision API in Python, libraries have to be imported, followed by creating an instance for image analysis, and then calling the API operations.
- Web application security is crucial for longevity and user safety; without it, your application is susceptible to data breaches and cyber threats. - The Open Web Application Security Project (OWASP) is a key tool in web application security, assisting businesses in understanding and addressing vulnerabilities. - Consequences of inadequate security include loss of revenue, reputation, customer trust, and potential legal penalties. - Tools commonly used to improve web application security include firewalls and antivirus solutions, alongside platforms like TryHackMe for cybersecurity skill development. - A reliable web app security plan should include regular security audits, strong passwords, up-to-date software, and data encryption. - Implementing OWASP guidelines for web app protection starts with understanding OWASP principles, targeting app vulnerability points, and regular updates on OWASP standards. - A web application firewall, analogous to a castle gate, forms a barrier against harmful data and should be regularly updated to match evolving cyber threats.
