Every 1 second delay means 7% decrease in sales. We redesign your software architecture to handle millions of requests and load under 1 second.
Many startups start with an MVP architecture that is great for 100 users, but when the traffic reaches 100,000 users, the same architecture becomes the biggest enemy of growth. Databases get deadlocked, server RAM fills up, and users get a 500 error instead of a purchase page.
Being slow doesn't just annoy the user, it directly targets your revenue. According to Amazon statistics, every 100 milliseconds of delay causes a 1% decrease in sales. In the world of Google and SEO, the story is the same; With the introduction of Core Web Vitals, Google has explicitly stated that page load speed (LCP) and interactivity (FID) are direct ranking factors. We are here to break this glass ceiling and prepare your infrastructure not just for today, but for future 10x growth.
Our approach is a combination of software (Code Level), database (Query Level) and infrastructure (Infrastructure Level) optimization.
The database is the beating heart of the system. We go beyond simple indexing. Detailed analysis of Query Execution Plans to find slow queries, intelligent normalization and denormalization.
The fastest request is the one that never gets processed! We implement a multilayer caching architecture. First layer: CDN. Second layer: Full Page Cache. The third layer: Object Caching (Redis).
When one server is not enough, we enter the clustering game. Implementation of Load Balancer. Stateless design for the application so that it can easily grow horizontally (Horizontal Scaling).
Without careful monitoring, optimization is like driving at night with the lights off. We deploy advanced monitoring tools (APM) to see exactly which line of code, which SQL query, or which HTTP request is causing the slowdown. Centralized log systems collect all errors.
We set up CI/CD pipelines so that every code that is written is automatically tested and built and placed on the servers without a moment of interruption (Zero Downtime).
High speed is not accidental; It is the result of precise engineering in the hidden layers. By manipulating Linux kernel parameters (Kernel Tuning) and PHP compiler, we achieve performance that competitors can't even imagine.
InnoDB Buffer Pool - Query Cache - Thread Handling
MySQL's default settings are for small servers. We adjust innodb_buffer_pool_size exactly based on your server's RAM so that 80% of the database is loaded in memory. By fine-tuning innodb_io_capacity based on hard disk type (NVMe SSD), we maximize read and write speeds, and detect and arrest speed killers using Slow Query Log.
JIT Compiler - Preloading - Worker Processes
In Laravel, each request should not reboot the entire framework. By enabling OPcache Preloading, we keep all Laravel core classes in Shared Memory. Also, by fine-tuning the number of pm.max_children in PHP-FPM, we prevent wasting server resources or crashing in high traffic. By enabling the JIT compiler in PHP 8+, the computational parts of the code are directly converted to machine code.
RabbitMQ - Horizon - Supervisor
The user does not have to wait for the email to be sent or the image to be processed. We take all heavy processes out of the Request/Response Cycle and send them to RabbitMQ queues. These queues are processed by Laravel workers in the background. The result? Immediate response to the user, even if the original processing takes 10 minutes.
Brotli - HTTP/3 - Edge Caching
We configure your servers with the Brotli compression algorithm (which is 20% better than Gzip). All static files, images and CSS are distributed on the CDN network so that the user receives the content from the closest geographic server. By enabling the HTTP/3 (QUIC) protocol, network latency is minimized even in unstable mobile internet.
Every business has its own performance challenges.
Optimization is not a guesswork process; It is an exact science based on data. We repeat this cycle until we get the desired result.
In the first step, we do not make any changes. We just "listen". By installing tools like NewRelic and checking slow logs of the database, we create an accurate picture of the current situation. Bottlenecks are identified: Is the CPU limited? Is the disk slow? Or PHP codes are not optimized?
This is where the surgery begins. Heavy queries are rewritten to use indexes. Nested loops that cause high CPU consumption (complexity O(n^2)) are rewritten. Duplicate code removal and heavy logic are transferred to the background queues (Background Jobs).
Now it's the server's turn. We tune the web server (Nginx/Litespeed) for maximum connections. Redis and Memcached services enter the circuit. If necessary, we transfer the database to a dedicated server and place the load balancer in front of the web servers.
Our claim must be proven. We send heavy artificial traffic (eg 5000 concurrent users) to the site with tools like JMeter or K6 to make sure the system doesn't buckle under the pressure and the load speed remains below 1 second.
Answers to your technical questions
Depending on the size of the project, usually between 3 and 10 working days. In the first 48 hours, you will be given a full report of the problems (Audit Report).
Before starting work, we record the current benchmarks of the site (GTMetrix Score, Google PageSpeed) and in the contract we undertake to improve these indicators by at least 50%.
Not necessarily. In many cases, software optimization can handle up to 3 times more traffic on the same hardware. But if the hardware is the main bottleneck, we offer upgrade advice.
No, we use Zero Downtime Deployment strategies. All changes are first tested in the Staging environment and then gradually applied to the main server.
Don't let a slow site send your customers to your competitors.
