Two-way sync
Changes in Amazon Lightsail or Datadog instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Lightsail and Datadog in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Amazon Lightsail is where your application's durable data lives; Datadog is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Views, Users and Grants, Managed Databases, Databases in Amazon Lightsail with Dashboards, Metrics, Incidents, Service Level Objectives in Datadog field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Updates in Datadog arrive as row changes in Amazon Lightsail, and writes to Amazon Lightsail propagate to Datadog within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Datadog stay matched to the users or owners table in Amazon Lightsail, so provisioning and de-provisioning flow from one source.
A new or changed row in Amazon Lightsail creates or updates the matching record in Datadog, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Amazon Lightsail objects | Datadog objects | How this pairing syncs | |
|---|---|---|---|
| Views Query-backed read-only sources. | Metrics Time-series metrics queried in aggregate windows through the query API and submitted via POST /api/v1/series; individual raw points cannot be extracted beyond retention. | Views is specific to Amazon Lightsail and Metrics to Datadog — each maps to any object or custom field on the other side. | |
| Users and Grants Database accounts used to give the sync connection scoped access. | Incidents Incident records from the v2 Incidents API with full CRUD, including status and timeline fields; landed in a database for MTTR reporting or created and updated from an external incident workflow. | Users and Grants is specific to Amazon Lightsail and Incidents to Datadog — each maps to any object or custom field on the other side. | |
| Managed Databases Lightsail-hosted MySQL or PostgreSQL instances that a sync connects to as standard databases. | Service Level Objectives SLO definitions and status history via the v1 SLO API with full CRUD; read out for reliability and error-budget reporting, or provisioned and updated from a reliability config. | Managed Databases is specific to Amazon Lightsail and Service Level Objectives to Datadog — each maps to any object or custom field on the other side. | |
| Databases Logical databases on the instance that scope a connection. | Hosts Infrastructure host inventory with tags and metadata from the v1 host list API; loaded into a CMDB or warehouse for asset tracking, and hosts can be muted or unmuted via the API. | Databases is specific to Amazon Lightsail and Hosts to Datadog — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used when selecting tables to sync. | Monitors Alert definitions with query, thresholds, and current state via the v1 Monitors API, which supports full create, update, and delete; Stacksync reads alert state into a warehouse or provisions and updates monitors from a config source. | Schemas is specific to Amazon Lightsail and Monitors to Datadog — each maps to any object or custom field on the other side. | |
| Tables Relational tables read from and written to at row level. | Logs Log events searched via the v2 Logs search endpoint by time window and submittable through the log intake API; commonly streamed to a warehouse for retention beyond Datadog's storage period. | Tables is specific to Amazon Lightsail and Logs to Datadog — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Amazon Lightsail for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is written to Datadog through its API, with automatic retries and rate-limit backoff.
DetectionDatadog notifies Stacksync of record changes through webhook events. Polling with time-windowed search queries on Logs and Events (timestamp cursor).
DeliveryEach detected change is applied to Amazon Lightsail as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Lightsail–Datadog connection.
Changes in Amazon Lightsail or Datadog instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Lightsail or Datadog data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Lightsail or Datadog record.
Track your Amazon Lightsail ⇄ Datadog sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Lightsail and Datadog.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Amazon Lightsail and Datadog with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon Lightsail and Datadog objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon Lightsail and Datadog: authenticate both systems, choose the objects to sync (such as Amazon Lightsail's Views and Users and Grants), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon Lightsail and Datadog: React to changes on either side in near real time; Where Datadog manages users or groups: keep identity aligned; Turn rows into the records your tools track. Updates in Datadog arrive as row changes in Amazon Lightsail, and writes to Amazon Lightsail propagate to Datadog within seconds, so triggers, jobs, and alerts fire without polling.
Amazon Lightsail: MySQL or PostgreSQL wire protocol (SQL) to the managed database endpoint. Authentication: Database credentials; public endpoint access must be enabled or a tunnel used. Datadog: REST API (v1 and v2). Authentication: API key (DD-API-KEY) plus an Application key (DD-APPLICATION-KEY) sent as request headers; application keys are tied to the creating user and inherit that user's permissions and authorization scopes. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Lightsail: Lightsail targets simplified, fixed-price bundles; database configuration options are narrower than full Amazon RDS, which affects how much replication tuning is available. Datadog: Rate limits vary by endpoint and are enforced with HTTP 429 and X-RateLimit-* headers; log ingestion and metric submission are not limited, but search endpoints have quotas. Stacksync's field mapping accounts for these differences between Amazon Lightsail and Datadog without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon Lightsail and Datadog records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Lightsail and Datadog connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Lightsail–Datadog integration in-house.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 316 integrations available for Amazon Lightsail and Datadog.