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Development of high-load IT systems and optimization for peak loads

We build fault-tolerant architectures capable of handling hundreds of thousands of simultaneous requests (100k+ RPS) without hangs and degradation of performance. Sharding and replication of MySQL/PostgreSQL databases, multi-level caching in RAM Redis/KeyDB, asynchronous queues and load auditing for Black Friday.

✓ 100 000+ RPS throughput: processing millions of users without server crashes
✓ Database Sharding and Partitioning: Distributing Billions of Records Across Multiple Database Servers
✓ Multi-level cache: Redis Cluster, Varnish Edge Cache and CDN with response delay < 15ms
✓ Stress testing with Locust and k6: guaranteed stability testing before release
Highload 100k+ RPS Database Sharding & Replication Redis / KeyDB Cluster Varnish HTTP Acceleration Locust & k6 Stress Testing
Receive stability calculation
Formats and pricing
ALL IT • SERVICE SPEC
SLA 99.9%
[ Technological IT Solutions ] WARRANTY UNDER AGREEMENT
Production cluster under peak load

Current Load: 124,500 RPS • Latency: 12ms • Errors 5xx: 0% • CPU Cluster: 42%

⏱ Start: 1–3 days 🛡️ NDA: 100% SLA Warranty
⚡
124.5k RPS
Peak load
🏎️
12ms Latency
Immediate Feedback
🗄️
DB Sharding
Distributed Base
🛡️
Zero Downtime
100% stability
✓ Official contract with fixed cost of work
✓ 100% transfer of rights to code and configuration to the customer
✓ Assigned leading engineer and support 90 days
FULL TRANSFER OF RIGHTS CONTRACT + WARRANTY
[ Reliability During Campaign Periods ]

Why does a website downtime during a sale cost the business a yearly profit

Extreme productivity ensures that no client will go to competitors due to a white error screen 502/504

[ 01 ]

100% preservation of revenue in 'Black Friday'

When the number of customers increases 20 times in 5 minutes, the site maintains page opening speed less than 0.5 seconds.

[ 02 ]

Protection of reputation and customer loyalty

Clients do not see suspended pages during order placement or double deductions from bank card balances.

[ 03 ]

Hardware costs reduced by a factor of 3–4 through optimization

Instead of buying additional servers indefinitely, we will optimize slow SQL queries and index structure, reducing hosting costs.

[ 04 ]

Scalability forward-looking years

The built-in architecture of horizontal scaling allows painlessly doubling the load every six months by simply adding new nodes.

[ STAGES OF HIGHLOAD ENGINEERING ]

What is included in the preparation and development of systems for extreme productivity

Deep complex engineering work from core profiling to query optimization of databases

[ STEP 01 ] Audit

Profile and identification of narrow points (Bottlenecks)

We use Blackfire, Xdebug and slow-query database logs to identify code sections that block request flow.

[ STEP 02 ] Databases

Database optimization and tuning (MySQL / PostgreSQL)

We are rewriting heavy SQL queries, optimizing B-Tree and GIN indexes, configuring connection pools (PgBouncer / ProxySQL).

[ STEP 03 ] Sharding

Implementation of sharding and Master-Slave replication

We distribute read requests across Read replicas and split large tables into shards (Horizontal Partitioning / Citus).

[ STEP 04 ] Caching

Multi-Level Caching (In-Memory Caching)

We are building a cache cascade: Varnish at the entrance for static HTML, Redis Cluster for sessions and structured objects, OPcache for PHP.

[ STEP 05 ] Queues

Asynchronous queue architecture (Async Workers)

We offload heavy tasks (email sending, PDF generation, inventory deductions) to background workers via RabbitMQ or Redis Streams.

[ STEP 06 ] Stress Tests

Load stress testing (Locust / k6)

Generate synthetic traffic from 5 000 to 100 000 simultaneous virtual users for testing the strength of the entire system.

[ Tariff Plans ]

Highload optimization and development packages

From preparing an active website to a large-scale sale to designing world-class architecture

Preparation for Black Friday and promotional campaigns

Audit and tuning before launch

Express diagnostics and elimination of critical bottlenecks in databases and web servers to increase the site's durability by 5–10 times.

Development time: from 1–2 weeks
Work Scope:
✓ Query profiling (Slow Query Log)
✓ Adding missing composite indexes in databases
✓ Tuning MySQL (InnoDB Buffer Pool) and PHP-FPM parameters
✓ Configuration of request caching in Redis
✓ Synthetic stress test on 5 000 concurrent users
✓ 14 days of warranty support during promotions
Choose the 'Highload Tuning' tariff
Best for Large Marketplaces and FinTech ★ Popular

Highload Clusterization and Sharding

Comprehensive architecture rebuild: Master-Slave replication, database sharding, balancing with balancers and asynchronous workers.

Development time: from 4–6 weeks
Work Scope:
✓ Everything that is included in the package 'Highload Tuning'
✓ Replication setup Master-Slave with reading balancing
✓ Table sharding for orders and users
✓ Deployment of Redis Cluster with high availability (HA)
✓ Implementation of message brokers RabbitMQ for background operations
✓ Stress-testing the system on 50 000+ RPS with a stability certificate
Choose 'Highload Clustering'
For international services, gaming, and banking systems

Extreme Scale 100k+ RPS

Non-blocking I/O architecture, multi-region data centers, proprietary C-modules and SLA 99.999%.

Development time: from 8–12 weeks
Work Scope:
✓ Everything that is included in the package 'Highload Clustering'
✓ Distributed database with automatic sharding (Citus / CockroachDB)
✓ Edge caching through Anycast CDN with latency up to 10ms worldwide
✓ Rewriting critical microservices to fast Go / Rust
✓ Round-the-clock protection against DDoS attacks at L3/L4/L7
✓ Dedicated engineering team and life-long support by SLA
Choose 'Extreme Scale'
← Swipe options →
[ COST CALCULATOR ]

Calculate budget for Highload optimization

Select the expected level of peak load and characteristics of the project

1. Expected peak load (RPS / visitors): Select Variant

2. Data volume and database status: Select Variant

3. Desired approach to optimization: Select Variant

CHOOSEN PARAMETERS OF THE SOLUTION:
⏱ Estimated Timeline: Calculation... 👥 Team: 2–3 engineers
1. Expected peak load (RPS / visitors): Up to 5 000 RPS (Up to 50 000 visitors per hour)
2. Data volume and database status: Up to 50 GB of data in the database (One server DB)
3. Desired approach to optimization: Fast tuning without changing application code (Server tuning)
✓ Parameters will be fixed in the application form
Get an exact quote
[ STAGES OF COOPERATION ]

How the project is delivered

Transparent process from first contact to final release on your domain.

01
3–4 days

Collection of Metrics and Stress Audit

We provide artificial load, measure the peak threshold of "drop" and record slow requests

02
1 Week

Database tuning and servers

Add correct indexes, optimize table structure and configure connection pools.

03
1–2 weeks

Implementation of cache and queue

We integrate Redis clusters, configure asynchronous workers, and move heavy processes to the background

04
1–2 weeks

Clustering and Replication

Expand read replicas of database systems, configure traffic balancing between nodes.

05
2–3 days

Control stress-test and report

We reload the system up to 100k RPS, confirm stability, and issue a readiness certificate.

Our Clients

Companies that have entrusted ALL IT Agency with the development and scaling of their digital solutions

Valikhnovski Surgery Institute
TOV Zagin Alpha
Meregi Group
Partner Case 5
Partner Case 6
Wizeclub
Partner Case 11
DIM Service
Partner Enterprise
Valikhnovski Surgery Institute
TOV Zagin Alpha
Meregi Group
Partner Case 5
Partner Case 6
Wizeclub
Partner Case 11
DIM Service
Partner Enterprise
[ FREQUENT QUESTIONS ]

Answers to common questions from customers

Key details regarding terms, independent website editing, and rights transfer.

RPS (Requests Per Second) — the number of HTTP requests that a server is able to fully successfully process in one second. One user during browsing a catalog may generate 5–15 requests (HTML, styles, photographs, AJAX filters). If the system withstands 10 000 RPS, this means that it easily serves over 50 000 active users simultaneously.

Therefore, one server always has a physical limit: maximum number of CPU cores, memory bus speed, and table locking in the database during parallel writing. Highload architecture implies horizontal scaling (Horizontal Scaling) — when the load is distributed among dozens of available servers simultaneously.

Sharding is splitting one giant table (for example, an orders table with 500 million rows) into several physically separate databases according to a certain key (for example, by user ID or region). This reduces the size of each individual database, speeding up the execution of search queries by tens of times.

Stress testing is usually conducted on an exact copy of the infrastructure (Staging Environment) or during a dedicated nighttime maintenance window with prior creation of a full data backup. This guarantees zero risks for real customers.

One successful sale on "Black Friday" without technical issues covers the cost of optimization several times. In addition, thanks to the acceleration of the company's database operations, they reduce monthly bills for cloud servers AWS/GCP by 30–50%.

Share this service with partners or colleagues

Fast delivery to the working chat or copying the link for budget approval

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Are you expecting a large traffic spike or the site has started to freeze?

Describe your current stack and database parameters. Our Highload architect will conduct an analysis and prepare a plan for increasing throughput within 24 hours.

Confidentiality

Official NDA contract for system audit

Quick Feedback

We will contact you within 15 minutes during business hours.

Order High Load Audit

The tech lead will contact you within 15 minutes during working hours