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    AWS DynamoDB

    Database Technology

    Build fast, cost-aware systems with DynamoDB

    We design single-table schemas, control hot partitions, and wire Streams so your workloads stay predictable as traffic spikes.

    Single-table modelling from real access patterns
    Throttle-resistant scaling with predictable spend
    Streams-ready event flows with clean runbooks
    Single-table
    DAX ready
    PITR on
    IaC first
    DynamoDB consulting
    Services

    DynamoDB Services We Provide

    Single-table design

    Model items for access patterns first, then refine keys and GSIs.

    Capacity & scaling

    Right-size RCUs/WCUs with autoscaling and predictable guardrails.

    DAX & hot-key control

    Sub-millisecond reads where it matters, with safe partition strategies.

    Streams & events

    Change data capture for workflows, notifications, and real-time systems.

    Backups & recovery

    PITR plus restore drills so incidents stay routine—not scary.

    Security by default

    Least-privilege IAM, KMS encryption, and audit-ready access patterns.

    Use Cases

    Where DynamoDB Fits Best

    DynamoDB shines when you need predictable performance at scale—without managing servers. Here are the common product and platform scenarios where it delivers the most value.

    Real-time feeds

    Ingest events and fan-out via Streams + Lambda. Keep consumers decoupled and scalable.

    Low-latency APIs

    Consistent, single-digit ms reads and writes. Perfect for personalization and session workloads.

    Microservices

    Decoupled services with table-per-domain or single-table. Clean boundaries, fewer cross-service joins.

    Serverless apps

    Tight with API Gateway, Lambda, and Cognito. Minimal ops with strong scaling defaults.

    Secure data

    KMS, fine-grained access, and VPC endpoints. Audit-friendly patterns for regulated use cases.

    Hybrid analytics

    Export to S3 + Athena for reporting. Keep OLTP fast while analytics stays flexible.

    DynamoDB delivery
    Delivery Playbook

    How we engage

    1

    Access patterns workshop & single-table plan

    2

    Capacity strategy: autoscale, on-demand, or mixed

    3

    DAX/ElastiCache decision and hot-key controls

    4

    Streams wiring to Lambda/Kinesis for events

    5

    Backups, PITR, chaos drills, and runbooks

    Cost & capacity guardrails

    We keep spend predictable with autoscaling, on-demand bursts where needed, and pruning unused GSIs.

    Autoscale targetsGSI hygieneTTL cleanupDAX vs. ElastiCache
    Reliability toolkit

    Alarms, runbooks, chaos drills, and game-days so your tables survive traffic spikes and failovers.

    Observability

    See issues before users do

    • CloudWatch dashboards for RCUs/WCUs and throttle alarms
    • Slow query samples via embedded metrics and structured logs
    • Game-day drills with fail injections and rollback steps
    Security

    Locked-down by default

    KMS encryptionIAM least privilegeVPC endpointsTLS enforcedAudit trails
    Stack

    Tools we pair with DynamoDB

    AWS Lambda
    API Gateway
    Kinesis
    Step Functions
    CloudWatch
    Athena
    S3
    Terraform
    DynamoDB FAQ

    Quick answers

    Yes, we start from access patterns, then map items, PK/SK, GSIs, and write shapes.

    We reshape keys, add randomness where safe, and use DAX/ElastiCache for hotspots.

    We enable PITR, schedule on-demand backups, and test restores regularly.

    We tune capacity modes, clean unused GSIs, and add TTL to trim storage.