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Apollo persisted queries send an operation ID instead of the full GraphQL document, shrinking request payloads and enabling server-side plan reuse.
Reduce network overhead and latency in Microsoft 365 integrations by using the Graph API /$batch endpoint to combine up to 20 requests into a single HTTP call.
Stop over-fetching OneDrive data. Learn how to use ETag-based conditional requests in Microsoft Graph to reduce API noise, avoid 429 throttling, and implement efficient incremental syncs.
Learn how to use GraphQL’s @include and @skip directives to fetch fields only when a client‑side boolean variable matches a condition, reducing payload and server work.
Learn when to use Microsoft Graph $batch to bundle up to 20 requests, how to handle partial failures, and the critical trade-offs between batching and individual API calls.
Stop over-fetching data from your headless CMS. Learn how to use GROQ projections to shape your API responses and implement stable pagination for your content feeds.
A practical guide to diagnosing Facebook Graph API 429 errors, using X‑App‑Usage headers, back‑off logic, batching, and limit‑increase requests to keep your app running smoothly.
When retrieving large datasets from a Notion database via the API, developers must manage the volume of data returned per request to prevent client-side memory exhaustion or request timeouts. The API provides page_size to control the number of results per page, alongside start_cursor for pagination. There is a trade-off between adjusting the transport volume
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