Available Services

13 services available for your development stack.

Each service can be configured through the service_configuration section in your otto-stack-config.yaml file. For detailed configuration instructions, see the Configuration Guide.

🗄️ Database#

mysql#

MySQL relational database for persistent data storage

Configuration Options#

database#

Default database name

• Type: string
• Default: local_dev

password#

Root password

• Type: string
• Default: password

user#

Database user

• Type: string
• Default: root

databases#

Additional databases to create

• Type: array

Items:

• name (string)

users#

Additional users to create

• Type: array

Items:

• name (string)

• password (string)

• database (string)

Example Configuration#

database: local_dev
password: password
user: root
databases:
  - name: example-name
users:
  - name: example-name
    password: example-password
    database: example-database

Use Cases#

• Primary application database

• Transactional data storage

• Relational data modeling

postgres#

PostgreSQL relational database for persistent data storage

Configuration Options#

database#

Default database name

• Type: string
• Default: local_dev

password#

Database password

• Type: string
• Default: password

user#

Database user

• Type: string
• Default: postgres

Example Configuration#

database: local_dev
password: password
user: postgres

Use Cases#

• Primary application database

• Transactional data storage

• Relational data modeling

• ACID compliance requirements

⚡ Cache#

redis#

Redis in-memory data store for caching and session storage

Configuration Options#

password#

Redis password

• Type: string
• Default: password

max_memory#

Maximum memory limit

• Type: string
• Default: 256m

databases#

Number of databases

• Type: integer
• Default: 16

Example Configuration#

password: password
max_memory: 256m
databases: 16

Use Cases#

• Session storage

• Application caching

• Rate limiting

• Pub/Sub messaging

• Temporary data storage

📨 Messaging#

kafka#

Complete Apache Kafka messaging platform with UI and topic management

Configuration Options#

topics#

Kafka topics to create

• Type: array

Items:

• name (string): Topic name

• partitions (integer) = 3: Number of partitions

• replication_factor (integer) = 1: Replication factor

Example Configuration#

topics:
  - name: example-name
    partitions: 3
    replication_factor: 1

Use Cases#

• Event streaming and processing

• Message queuing and pub/sub

• Real-time data pipelines

• Microservices communication

• Log aggregation and analytics

kafka-broker#

Apache Kafka broker for event streaming and messaging

Configuration Options#

topics#

Kafka topics to create on startup

• Type: array

Items:

• name (string): Topic name

• partitions (integer) = 3: Number of partitions

• replication_factor (integer) = 1: Replication factor

Example Configuration#

topics:
  - name: example-name
    partitions: 3
    replication_factor: 1

Use Cases#

• Event-driven microservices architecture

• Real-time data streaming and processing

• Message queuing between services

• Data pipeline and ETL processes

kafka-ui#

Web UI for Kafka cluster management and topic browsing

Use Cases#

• Topic management and browsing

• Message inspection and debugging

• Cluster monitoring and health checks

• Consumer group management

zookeeper#

Apache Zookeeper coordination service for distributed systems

Use Cases#

• Kafka cluster coordination

• Distributed configuration management

• Service discovery

• Leader election

☁️ Cloud#

localstack-dynamodb#

LocalStack DynamoDB NoSQL database emulation

Configuration Options#

tables#

DynamoDB tables to create

• Type: array

Items:

• name (string): Table name

• hash_key (string): Partition key

• range_key (string): Sort key

• read_capacity (integer) = 5: Read capacity units

• write_capacity (integer) = 5: Write capacity units

Example Configuration#

tables:
  - name: example-name
    hash_key: example-hash_key
    range_key: example-range_key
    read_capacity: 5
    write_capacity: 5

Use Cases#

• NoSQL database testing

• High-performance data storage

• Session management

• Event sourcing patterns

localstack-s3#

LocalStack S3 (Simple Storage Service) emulation

Configuration Options#

buckets#

S3 buckets to create

• Type: array

Items:

• name (string): Bucket name

• versioning (boolean) = false: Enable versioning

• public_read (boolean) = false: Allow public read access

Example Configuration#

buckets:
  - name: example-name
    versioning: false
    public_read: false

Use Cases#

• File storage and retrieval testing

• Static asset hosting

• Data backup and archival

• Content distribution testing

localstack-sns#

LocalStack SNS (Simple Notification Service) emulation

Configuration Options#

topics#

SNS topics to create

• Type: array

Items:

• name (string): Topic name

• subscriptions (array): Topic subscriptions

Example Configuration#

topics:
  - name: example-name

Use Cases#

• Pub/sub messaging patterns

• Event notifications

• Fan-out message distribution

• Integration with SQS subscriptions

localstack-sqs#

LocalStack SQS (Simple Queue Service) emulation

Configuration Options#

queues#

SQS queues to create

• Type: array

Items:

• name (string): Queue name

• visibility_timeout (integer) = 30: Message visibility timeout in seconds

• dead_letter_queue (boolean) = false: Enable dead letter queue (creates {name}-dlq)

• max_receive_count (integer) = 3: Max receive count before moving to DLQ

• subscription (object)

Example Configuration#

queues:
  - name: example-name
    visibility_timeout: 30
    dead_letter_queue: false
    max_receive_count: 3

Use Cases#

• Message queue testing

• Asynchronous processing development

• Event-driven architecture testing

🔍 Observability#

jaeger#

Jaeger distributed tracing system for monitoring and troubleshooting microservices

Configuration Options#

sampling#

Jaeger sampling configuration

• Type: object

Properties:

• default_strategy (string) = probabilistic: Default sampling strategy

• max_traces_per_second (integer) = 100: Maximum traces per second

storage#

Storage configuration

• Type: object

Properties:

• type (string) = memory: Storage backend type

Example Configuration#

sampling:
  default_strategy: probabilistic
  max_traces_per_second: 100
storage:
  type: memory

Use Cases#

• Distributed tracing

• Performance monitoring

• Service dependency analysis

• Request flow visualization

prometheus-service#

Prometheus metrics collection and monitoring system

Configuration Options#

scrape_configs#

Prometheus scrape configurations

• Type: array

Items:

• job_name (string): Job name

• static_configs (array): Static target configurations

• scrape_interval (string) = 15s: Scrape interval

Example Configuration#

scrape_configs:
  - job_name: example-job_name
    scrape_interval: 15s

Use Cases#

• Application metrics collection

• Performance monitoring

• Alerting and notifications