Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.apinizer.com/llms.txt

Use this file to discover all available pages before exploring further.

The Apinizer platform offers three basic installation topologies suitable for different requirements and scenarios. Each topology has its own advantages, usage areas, and requirements.

​
Topology Comparison

Topology 1: Test and PoC

Test and Proof of Concept
Quick installation, low resource requirements

Topology 2: Professional Installation

Production Environments
Medium-scale enterprise applications

Topology 3: High Availability

HA Production
Critical business applications, %99.9+ uptime

​
Quick Comparison Table

FeatureTopology 1
(Test/PoC)		Topology 2
(Professional)		Topology 3
(HA)
Total Server Count2712
Kubernetes Control-Plane113 (HA)
Kubernetes Worker143
MongoDBSingle InstanceSingle InstanceReplica Set (3 nodes)
ElasticsearchSingle NodeSingle NodeCluster (3 nodes)
High Availabilityxx✓
Usage PurposePoC, TestProductionProduction (HA)
Traffic Capacity~5M requests/day (1×W4)~20M requests/day (4×W4)~30M requests/day (3×W8)

​
Topology Selection Guide

Usage Scenarios:
  • Proof of Concept (POC) projects
  • Development and test environments
  • Low-traffic applications (~5M requests/day, 1×W4)
  • Quick installation requirements
  • Limited resources and budget
  • For training and learning purposes
Advantages:
  • Lowest resource requirements
  • Quick installation
  • Low cost
  • Simple management
Disadvantages:
  • Single point of failure risk
  • No high availability
  • Not suitable for production
  • Limited scalability
Usage Scenarios:
  • Medium-scale production environments
  • Medium-to-high-traffic applications (~20M requests/day, 4×W4)
  • Basic high availability requirements
  • Situations requiring budget optimization
  • Enterprise applications
Advantages:
  • Load balancing between worker nodes
  • Medium-level resource requirements
  • Suitable for production
  • Flexible scaling
Disadvantages:
  • Limited high availability
  • Database single point of failure risk
  • No geographic distribution
Usage Scenarios:
  • Critical production environments
  • High-traffic applications (~30M requests/day and above, 3×W8)
  • High availability requirements (%99.9+ uptime)
  • Critical business processes
  • Data security and replication requirements
Advantages:
  • High availability (%99.9+)
  • Automatic failover
  • Data replication
  • Load balancing
  • Zero-downtime updates
Disadvantages:
  • High resource requirements
  • Complex installation
  • High cost
  • Cluster management requirements

​
Scaling Strategies

​
Vertical Scaling

Increasing single server performance:
  • CPU and RAM increase
  • Disk capacity increase
  • Network bandwidth increase
Usage: When you want to use all resources
After vertical scaling, update Gateway Worker pod thread and connection pool settings according to the new resources. For tier-based recommendations, see Gateway Performance Tuning.

​
Horizontal Scaling

Increasing server count:
  • Increasing worker node count
  • Increasing MongoDB replica set node count
  • Increasing Elasticsearch cluster node count
Usage: For high availability and traffic increase requirements
Important Notes:
  • Do not use Test/PoC installations for load testing purposes! If you want to evaluate the correct configuration for load testing, please refer to our Benchmark Results page or contact us.
  • We do not recommend installing on a single server for production environments. Please evaluate such an installation configuration only for PoC environments.
  • Requirements for each topology are for minimum configuration. They should be increased according to your service loads.