The Tool Desk
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What determines a safe polling interval?
Three things set the practical boundary: how quickly the application needs to learn about a change, how often the API permits requests, and how frequently the underlying health data is updated. The HTTP standards define rate-limit and retry behavior, but they do not prescribe a general polling frequency for health APIs.
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A 429 response means the server is rate-limiting requests; it does not reveal the right steady-state interval for every client. RFC 6585 says a 429 response may include a Retry-After header, while leaving user identification and request counting to the server. Check the API’s own contract rather than assuming its quota is counted per token, endpoint, or process. RFC 6585, section 4
Set the routine cadence
- Identify the endpoint and job. A service-liveness check, a changing health measurement, and the status of an asynchronous operation can have different freshness needs and provider rules.
- Read the endpoint’s current contract. Look for quota scope, request limits, reset windows, minimum polling intervals, polling hints or headers, and the source data’s update frequency.
- Define acceptable staleness. Decide how old the information can be before the application must react. That is an application requirement, not an HTTP-standard value.
- Compare candidate cadences with total request load. Include every client sharing the quota, including overlapping deployments and synchronized processes. A cadence that is safe for one process may exceed a shared limit when a fleet uses it.
- Follow provider feedback. Use documented polling hints and quota headers where available. If the provider publishes no interval, do not invent a universal one; choose a cadence that meets the application’s freshness need while remaining within the documented quota.
This is a design method, not a universal numeric formula. The endpoint’s provider documentation must establish the actual quota, scope, and any required polling interval.
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Consider push before polling
If the API offers a supported webhook or another suitable push mechanism, compare it with scheduled requests. GitHub’s REST API guidance says, “You should subscribe to webhook events instead of polling the API for data.” That is guidance for GitHub’s API, not evidence that every health-monitoring service supports webhooks. GitHub REST API best practices
- Freshness: How soon must the application learn about a health-state change?
- Provider contract: What are the quota scope, allowed volume, reset behavior, polling signals, and data update cadence?
- Client population: How many clients contribute traffic to the same quota?
- Failure behavior: What does the API specify for 429 or 503 responses, and does it provide a retry delay?
- Operational fit: Can the application reliably maintain subscriptions or callbacks, or are scheduled requests more appropriate?
The available guidance establishes no universal winner between push and polling. The API’s supported mechanisms and your application’s needs determine the choice.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Keep retries separate from routine polling
A polling interval schedules requests while the API is working. A retry policy governs what happens after a request fails. Do not use a routine cadence as an automatic retry delay, and do not mistake a backoff delay for a steady-state polling recommendation.
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RFC 9110 defines Retry-After as either an HTTP date or a delay in seconds. It says a server may send the header with a 503 response to indicate how long the client ought to wait; RFC 6585 says a 429 response may include it. When present, follow the provider’s instructions and the header rather than immediately sending another request. RFC 9110, section 10.2.3 · RFC 6585, section 4
Use bounded backoff when no delay is supplied
For eligible temporary failures without a provider-specified delay, use the API’s documented retry guidance. Where appropriate, exponential backoff with jitter reduces synchronized retry bursts. Set an attempt limit or elapsed-time budget, then stop; do not retry indefinitely. Google Cloud Monitoring specifically advises checking that a request is safe to retry first and choosing an attempt or time limit. Google Cloud Healthcare API describes backoff with jitter and warns that rapid repeated retries can exceed quotas. NHS England Digital also advises against indefinite retries and directs implementers to the applicable API specification for retry limits. Google Cloud Monitoring retry guidance · Google Cloud Healthcare API retry guidance · NHS England Digital retry guidance
Retry only operations that are safe to repeat
Do not automatically retry an unsafe or non-idempotent operation unless the API’s semantics establish that repeating it is safe, or the client can determine that the first attempt was not applied. A request that reads status may have different retry safety from one that changes state; confirm the endpoint’s behavior.
Quota figures are API-specific
Google Health API documents default request limits of 86.4 million requests per project per day, 120,000 per project per minute, and 300 per user per minute. Those figures are that API’s quotas—not a recommended polling interval or an industry-wide benchmark—and must not be applied to another service. Google Health API quotas
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No cited standard or provider guidance establishes a universal safe interval in seconds for health-monitoring APIs. Use the endpoint’s documentation to determine its actual limits and signals.
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