Snapshot 59633

Document
Subprocessor list
URL
https://docs.rootly.com/configuration/subprocessors
Fetched
HTTP status
200
Content type
text/html; charset=utf-8
Fetch mode
static
Size
590871 bytes
SHA-256 (raw)
0ec805ffc415ddb20f45eb9afdbf56683783d6e279825b22b381700e3b8e50c0
SHA-256 (normalized text)
219d144b35b960957d9518c2753adbdab7f63deef6e8610bca98db5d54cf767a

Parsed

What we read from this document, as JSON. Each entry names the snapshot it was read from.

{
  "entries": [
    {
      "kind": "subprocessor",
      "vendor": "amazon-web-services",
      "evidence_id": 59633,
      "data": {
        "name": "Amazon Web Services (Amazon Web Services, Inc.)",
        "purposes": [
          "Hosting. Rootly’s primary cloud infrastructure: compute, application databases, object storage, queuing, and event routing."
        ],
        "sections": [
          "​ Infrastructure"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "All customer data stored in Rootly, encrypted at rest"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "anthropic",
      "evidence_id": 59633,
      "data": {
        "name": "Anthropic (Anthropic, PBC)",
        "purposes": [
          "AI functionality: LLM inference for summarization, catchup, and generative features"
        ],
        "sections": [
          "​ AI Features"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Incident content submitted for AI processing"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "braintrust",
      "evidence_id": 59633,
      "data": {
        "name": "Braintrust (Braintrust Data, Inc.)",
        "purposes": [
          "AI functionality: LLM request routing, tracing, and evaluation"
        ],
        "sections": [
          "​ AI Features"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Incident content and other data submitted for AI processing"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "clickhouse",
      "evidence_id": 59633,
      "data": {
        "name": "ClickHouse Cloud",
        "purposes": [
          "Columnar analytics database for AI evaluation and product analytics"
        ],
        "sections": [
          "​ Infrastructure"
        ],
        "locations": [
          "—"
        ],
        "data_categories": [
          "AI evaluation datasets and product usage metrics"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "cloudflare",
      "evidence_id": 59633,
      "data": {
        "name": "Cloudflare (Cloudflare Inc.)",
        "purposes": [
          "Content delivery network, edge networking, and web application firewall"
        ],
        "sections": [
          "​ Infrastructure"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "HTTP request data and tenant identifiers"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "datadog",
      "evidence_id": 59633,
      "data": {
        "name": "Datadog (Datadog, Inc.)",
        "purposes": [
          "Monitoring: application performance, logging, and infrastructure observability"
        ],
        "sections": [
          "​ Platform Operations"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Application logs and telemetry, which may include user and team identifiers"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "google-cloud",
      "evidence_id": 59633,
      "data": {
        "name": "Google Cloud (Google, Inc.)",
        "purposes": [
          "Hosting"
        ],
        "sections": [
          "​ Infrastructure"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Customer data processed by the hosted services"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "hubspot",
      "evidence_id": 59633,
      "data": {
        "name": "HubSpot (HubSpot, Inc.)",
        "purposes": [
          "Emails: CRM and customer communication"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "User profile data and account metadata"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "intercom",
      "evidence_id": 59633,
      "data": {
        "name": "Intercom (Intercom, Inc.)",
        "purposes": [
          "Live chat and customer support"
        ],
        "sections": [
          "​ Communication and Support"
        ],
        "locations": [
          "AWS us-east-1"
        ],
        "data_categories": [
          "User profile data, support conversation content"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "launchdarkly",
      "evidence_id": 59633,
      "data": {
        "name": "LaunchDarkly (Catamorphic Co.)",
        "purposes": [
          "Feature management: feature flag evaluation and progressive rollout targeting"
        ],
        "sections": [
          "​ Platform Operations"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Team and user identifiers used as targeting keys"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "linear",
      "evidence_id": 59633,
      "data": {
        "name": "Linear (Linear Orbit, Inc.)",
        "purposes": [
          "Support ticket tracking"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "User profile data, support ticket content"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "mailgun",
      "evidence_id": 59633,
      "data": {
        "name": "Mailgun (Mailgun Technologies, Inc.)",
        "purposes": [
          "Transactional email delivery"
        ],
        "sections": [
          "​ Notifications and Alerting"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Email addresses, notification content"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "metabase",
      "evidence_id": 59633,
      "data": {
        "name": "Metabase (Metabase, Inc.)",
        "purposes": [
          "Business intelligence. Rootly personnel run read-only queries against production application data to support customer accounts, troubleshoot issues, and analyze product usage."
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "User profile data (names, email addresses, phone numbers), incident and alert records, and associated metadata"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "microsoft",
      "evidence_id": 59633,
      "data": {
        "name": "Microsoft Azure (Microsoft Corporation)",
        "purposes": [
          "Hosting"
        ],
        "sections": [
          "​ Infrastructure"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Customer data processed by the hosted services"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "evidence_id": 59633,
      "data": {
        "name": "Oliv.ai",
        "purposes": [
          "Analytics: product and customer analytics"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "User profile data and product usage metrics"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "openai",
      "evidence_id": 59633,
      "data": {
        "name": "OpenAI (OpenAI, Inc.)",
        "purposes": [
          "AI functionality: LLM inference for summarization, catchup, and generative features"
        ],
        "sections": [
          "​ AI Features"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Incident content submitted for AI processing"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "pganalyze",
      "evidence_id": 59633,
      "data": {
        "name": "pganalyze (Duboce Labs Inc.)",
        "purposes": [
          "Monitoring: database performance and query analytics"
        ],
        "sections": [
          "​ Platform Operations"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Database query patterns and telemetry, which may include user and team identifiers"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "posthog",
      "evidence_id": 59633,
      "data": {
        "name": "PostHog (PostHog, Inc.)",
        "purposes": [
          "Analytics: product analytics and user behavior tracking"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "User and team identifiers, product usage events"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "pylon",
      "evidence_id": 59633,
      "data": {
        "name": "Pylon (Pylon Labs, Inc.)",
        "purposes": [
          "Customer support platform"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "User profile data, support ticket content"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "evidence_id": 59633,
      "data": {
        "name": "QuotaGuard",
        "purposes": [
          "Static IP proxy for outbound integration traffic"
        ],
        "sections": [
          "​ Infrastructure"
        ],
        "locations": [
          "—"
        ],
        "data_categories": [
          "HTTP request payloads transiting to customer-connected integrations"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "hyperdoc-a-k-a-recall-ai",
      "evidence_id": 59633,
      "data": {
        "name": "Recall.ai (Hyperdoc Inc.)",
        "purposes": [
          "Meeting transcription: meeting orchestration, recording capture, and platform connectivity for AI Meeting Scribe"
        ],
        "sections": [
          "​ AI Features"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Meeting audio/video streams, bot lifecycle events"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "segment",
      "evidence_id": 59633,
      "data": {
        "name": "Segment (Segment.io, Inc.)",
        "purposes": [
          "Analytics: customer data platform for product analytics event routing"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US (Oregon)"
        ],
        "data_categories": [
          "User profile data, product usage events"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "sendgrid",
      "evidence_id": 59633,
      "data": {
        "name": "SendGrid (SendGrid Inc., a Twilio subsidiary)",
        "purposes": [
          "Email delivery for transactional and notification email"
        ],
        "sections": [
          "​ Notifications and Alerting"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Email addresses, notification content"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "sentry",
      "evidence_id": 59633,
      "data": {
        "name": "Sentry (Functional Software, Inc.)",
        "purposes": [
          "Monitoring: application error and exception tracking"
        ],
        "sections": [
          "​ Platform Operations"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Error traces and request context, which may include user and team identifiers"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "slack",
      "evidence_id": 59633,
      "data": {
        "name": "Slack (Slack Technologies, LLC)",
        "purposes": [
          "Communication: internal team communication and incident coordination"
        ],
        "sections": [
          "​ Communication and Support"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "User identifiers, message content"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "snowflake",
      "evidence_id": 59633,
      "data": {
        "name": "Snowflake (Snowflake, Inc.)",
        "purposes": [
          "Data warehouse for aggregated product usage and account health analytics"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Product usage metrics and account metadata"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "stripe",
      "evidence_id": 59633,
      "data": {
        "name": "Stripe (Stripe, Inc.)",
        "purposes": [
          "Payment processing and subscription billing"
        ],
        "sections": [
          "​ Business Operations and Analytics"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Billing contact details and payment metadata"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "twilio",
      "evidence_id": 59633,
      "data": {
        "name": "Twilio (Twilio, Inc.)",
        "purposes": [
          "In-app calling and SMS for on-call paging and live call routing"
        ],
        "sections": [
          "​ Notifications and Alerting"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Phone numbers, alert and notification content"
        ]
      }
    }
  ]
}