Akash

LOAD BALANCER

⚑Ultra Fast | Built in Go

SUB-MS RESPONSE
ALGORITHMIC ROUTING
MONITORING

Design

Architecture

We've Aura

Built for speed, reliability, and simplicity β€” explore what makes Akash powerful. Here are the list of features and benchmarks on Akash

Architecture

Algorithms

1. Weighted Round Robin

Distributes traffic proportionally based on assigned server weights. Great for handling servers with different capacities.

2. Round Robin

Cycles requests sequentially across servers. Simple, effective, and fair when all servers have similar power.

3. IP Hashing

Routes requests based on client IP hash. Ensures consistent routing of a client to the same backend (sticky sessions).

4. Least Connections

Directs traffic to the server with the fewest active connections. Ideal for balancing uneven workloads.

Distributes traffic proportionally based on assigned server weights. Great for handling servers with different capacities.

Time for Benchmarks

Brace yourself...

What happens when Akash is pushed to the limits?

1,000,000

Requests

70,000

Req/sec

2.5ms

Median Latency

6.9ms

95th %ile

163ms

Max Latency

40 MB

Data Transferred

99.995%

Success Rate

Why Akash Stands Out

%

Success Rate

Concurrent Clients

That means Akash can handle massive traffic reliably, without dropping a single request.

Performance vs HAProxy

Benchmarking Akash against the industry standard L4 load balancer

1,000,000
Total Requests
40 MB
Data Transferred
99.995%
Success Rate

Performance Metrics

Throughput

req/s
Akash71.29k req/s
HAProxy71.59k req/s

Median Latency

ms
Akash2.1 ms
HAProxy1.7 ms

95th Percentile

ms
Akash6.3 ms
HAProxy7.2 ms

99th Percentile

ms
Akash12.1 ms
HAProxy14.7 ms

Max Latency

ms
Akash129 ms
HAProxy95.9 ms

Key Insights

Akash matches HAProxy in throughput (within ~0.5%)

Latency distribution is nearly identical, with Akash slightly better at higher percentiles

For a Go-based project vs HAProxy's C engine, Akash proves competitive

Performance Validated By me πŸ˜›

Note* Benchmarks were conducted on an Apple MacBook Air (M1, 2020) with 16 GB RAM, 256 GB SSD, 7 GPU cores, 8 efficiency CPU cores, and a 16-core Neural Engine. Results may vary on different hardware.

Akash is Ready. Are You?

Meet The Developer

Developer

I'm an engineer obsessed with building things from first principles. Languages, databases β€” the closer to the metal, the better.

Notable Works

Akash β€” A Load Balancer built from scratch in Golang. Supports 4 Algorithms, Health Checks and Metrics

Prithvi β€” A Key-Value database built in Java. Supports HashSets, VecDeque with LRU Cache and TTL.

Ganges β€” A Sanskrit-inspired programming language. From lexer to VM, all handwritten.

Rooster β€” The simplest way to deploy your React app on S3.

Finalist at Smart India Hackathon 2023. Built under constraints. 5X hackathon winner.

"Don’t just use systems. Build them. Understand them.

Akash

A blazing fast, modern Layer-4 Load Balancer β€” lightweight, reliable, and developer-friendly.

Β© 2025 Akash β€” Built with ⚑ Go| PHILKHANA SIDHARTH