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    SERVICE / CLOUD & INFRASTRUCTURE

    CLOUD &INFRASTRUCTURE

    Databases, caching, and pub/sub wired into observable, auto-scaling deployments — engineered by people who've been on call when it mattered. The unglamorous layer that decides whether your AI survives real traffic.

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    Where infrastructure breaks without warning

    Not in a crash. In the slow leak: a migration with no rollback plan, a queue that backs up until it drops jobs, a service that degrades for an hour before anyone is paged, a cost line that climbs with no owner watching it.

    We build the data layer, the messaging, and the delivery pipeline to fail loudly instead, with monitoring that catches it first.

    // WHERE IT SHOWS UP FIRST
    1. LOAD CLIMBSqueue depth rising under real traffic
    2. ALERT THRESHOLDthe line that should page someone
    3. PAGED HEREcaught at the crossing, not an hour later
    4. DROPS JOBSwhere it goes if nobody is watching
    5. AUTOSCALEDcapacity added, the curve drains

    QUEUE DEPTH over time

    // WHAT WE BUILDALL SERVICES →
    Data modeling & migrationsSchemas designed in Postgres with migrations and backups that run as routine, not as a fire drill.
    Caching & storageRedis caching and object storage sized and wired in from the start, so latency and storage costs don't become a rewrite later.
    Async jobs & messagingWork moved off the request path into queues and async job workers, so a slow dependency doesn't take the whole system down with it.
    Event-driven reliabilityEvent-driven flows built with retries and dead-letter queues, so a failed message is captured and replayable instead of silently lost.
    Delivery pipelineContainers, orchestration, and CI/CD wired together with infra as code, shipping through blue/green deploys and rollbacks instead of hoping a deploy goes fine.
    Observability & costTracing, metrics, alerting, and autoscaling in place from day one, with cost monitored as a first-class signal instead of a surprise at month's end.
    PostgresRedisPub/SubKubernetes
    // ANATOMY OF A DEPLOYMENT

    From a commit to observable, scaling production.

    CommitVERSION CONTROL
    Reviewed, branch-protected
    TestCI PIPELINE
    Unit, integration, evals
    BuildCONTAINERIZE
    Reproducible artifacts
    DeployKUBERNETES
    Blue/green, instant rollback
    ObserveTRACES & METRICS
    Dashboards, alerts, SLOs
    ScaleAUTOSCALING
    Handles real traffic
    PLATFORM
    POSTGRESSYSTEM OF RECORD
    REDISCACHE & SESSIONS
    PUB/SUBASYNC & EVENTS
    KUBERNETESORCHESTRATION
    OBSERVABILITYTRACES, ALERTS, SLOS
    Discovery sprint

    Not sure it's even an agent problem yet?

    Begin with a fixed-scope discovery sprint. You walk away with a real architecture, a build plan, and an honest read on feasibility. The output is yours to keep, whether or not we build it together.

    Book a discovery sprintSee our work
    // RELATED SERVICES
    Agentic SystemsRetrieval & MemoryFull Product Builds

    Tell us what you're
    building.

    Send the problem, the systems it has to touch, and the deadline. We will tell you what it takes to engineer it, or if it's not a fit we will help guide you to a better solution.

    Start a projectCONTACT@GRIF.AI