# idempotency

Published articles for idempotency.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## When the human is the Workflow: Durable Execution in harsh physical field operations

DevFeed: [When the human is the Workflow: Durable Execution in harsh physical field operations](<https://devfeed.tech/articles/when-the-human-is-the-workflow-durable-execution-in-harsh-physical-field-operations-35818.md>)

Original publisher: [Read original article](<https://temporal.io/blog/durable-execution-in-harsh-physical-field-operations>)

Author: Saman Batool

Published: 2026-08-11T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [implementation](<https://devfeed.tech/topics/implementation.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Process](<https://devfeed.tech/topics/process.md>), [Encryption](<https://devfeed.tech/topics/encryption.md>)

Tags: [community](<https://devfeed.tech/tags/community.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [encryption](<https://devfeed.tech/tags/encryption.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [implementation](<https://devfeed.tech/tags/implementation.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [network](<https://devfeed.tech/tags/network.md>), [offline-first](<https://devfeed.tech/tags/offline-first.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [real-world](<https://devfeed.tech/tags/real-world.md>), [retries](<https://devfeed.tech/tags/retries.md>)

### AI overview

A case study describes how Xgrid and a construction company rebuilt crew clock-ins, daily reporting, and document signing on Temporal. It presents a single durable Workflow per shift as the source of truth for unreliable, offline-first field operations, with patterns for idempotency, compliance, retries, encryption, and scalable execution.

### Source excerpt

This blog from Xgrid, a Certified Temporal Cloud Partner, explores how field operations in construction, infrastructure, and facilities management can be modeled as a Durable Execution problem rather than a collection of fragile services. Drawing from a real-world implementation, it shows how crew clock-ins, daily reporting, and document signing were rebuilt on Temporal using a single Workflow per shift as the durable source of truth.

## Instrumenting distributed messaging: The fallacy of exactly once delivery

DevFeed: [Instrumenting distributed messaging: The fallacy of exactly once delivery](<https://devfeed.tech/articles/instrumenting-distributed-messaging-the-fallacy-of-exactly-once-delivery-39577.md>)

Original publisher: [Read original article](<https://ankit-rana.com/logs/25-instrumenting-distributed-messaging-exactly-once-delivery/>)

Author: hello@ankit-rana.com

Published: 2026-05-17T00:00:00Z

Content type: opinion

Language: en

Sources: [Ankit Rana | Mechanical Sympathy](<https://devfeed.tech/sources/ankit-rana-mechanical-sympathy.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Network](<https://devfeed.tech/topics/network.md>), [Latency](<https://devfeed.tech/topics/latency.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [broker](<https://devfeed.tech/tags/broker.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [latency](<https://devfeed.tech/tags/latency.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [network](<https://devfeed.tech/tags/network.md>)

### AI overview

The article argues that exactly-once delivery cannot be guaranteed by an unreliable network's physical transport layer. It explains that Kafka's exactly-once semantics use transactional coordination, additional network round trips, and disk fsyncs, and recommends at-least-once delivery with idempotent consumers.

### Source excerpt

There is no physical mechanism for exactly-once delivery over an unreliable network. If the sender does not receive an acknowledgement it can drop the message, giving at-most-once, or resend it, giving at-least-once. Those are the only two options. Kafka's exactly-once semantics buy the illusion with a transactional wrapper costing extra round trips and forced fsyncs, so configure brokers for at-least-once and make consumers fiercely idempotent instead.

## Designing Resilient APIs: Failure-Handling Patterns for Distributed Systems

DevFeed: [Designing Resilient APIs: Failure-Handling Patterns for Distributed Systems](<https://devfeed.tech/articles/designing-resilient-apis-failure-handling-patterns-for-distributed-systems-39563.md>)

Original publisher: [Read original article](<https://ankit-rana.com/logs/11-resilient-api-design-patterns/>)

Author: hello@ankit-rana.com

Published: 2026-03-16T00:00:00Z

Content type: tutorial

Language: en

Sources: [Ankit Rana | Mechanical Sympathy](<https://devfeed.tech/sources/ankit-rana-mechanical-sympathy.md>)

Topics: [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [API](<https://devfeed.tech/topics/api.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>)

Tags: [api-design](<https://devfeed.tech/tags/api-design.md>), [apis](<https://devfeed.tech/tags/apis.md>), [async](<https://devfeed.tech/tags/async.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [fault-tolerance](<https://devfeed.tech/tags/fault-tolerance.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [jitter](<https://devfeed.tech/tags/jitter.md>), [observability](<https://devfeed.tech/tags/observability.md>), [outages](<https://devfeed.tech/tags/outages.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [retries](<https://devfeed.tech/tags/retries.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

A practical guide to designing resilient APIs in distributed systems. It covers fail-fast validation, graceful degradation, idempotency for safe retries, and bounded retry policies using exponential backoff, jitter, attempt limits, and total time budgets.

### Source excerpt

Resilience is failing in controlled ways rather than not failing. Validate and fail fast at the boundary, degrade gracefully by serving cached or reduced responses, require an idempotency key for side-effecting operations, and bound retries with exponential backoff, jitter, an attempt cap, and a total time budget. Unbounded retries amplify outages.

## Error handling in distributed systems: A guide to resilience patterns

DevFeed: [Error handling in distributed systems: A guide to resilience patterns](<https://devfeed.tech/articles/error-handling-in-distributed-systems-a-guide-to-resilience-patterns-35825.md>)

Original publisher: [Read original article](<https://temporal.io/blog/error-handling-in-distributed-systems>)

Author: Tim Imkin

Published: 2025-06-20T00:00:00Z

Content type: tutorial

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [Error Handling](<https://devfeed.tech/topics/error-handling.md>), [Remote Procedure Call (RPC)](<https://devfeed.tech/topics/rpc.md>), [Latency](<https://devfeed.tech/topics/latency.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [circuit](<https://devfeed.tech/tags/circuit.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [error-handling](<https://devfeed.tech/tags/error-handling.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [retries](<https://devfeed.tech/tags/retries.md>)

### AI overview

This guide explains why distributed systems require different error-handling strategies, focusing on partial failures, unreliable networks, latency, partitions, retries with idempotency, and timeouts. It recommends designing for failure through isolation, graceful degradation, and autonomous recovery.

### Source excerpt

Master distributed systems resilience with proven patterns like retries, circuit breakers, and Durable Execution to build fault-tolerant apps that never fail.

## Spooky Stories: Chilling Temporal anti-patterns (part 1)

DevFeed: [Spooky Stories: Chilling Temporal anti-patterns (part 1)](<https://devfeed.tech/articles/spooky-stories-chilling-temporal-anti-patterns-part-1-35986.md>)

Original publisher: [Read original article](<https://temporal.io/blog/spooky-stories-chilling-temporal-anti-patterns-part-1>)

Author: Joshua Smith

Published: 2024-10-17T14:00:00Z

Content type: tutorial

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [Development](<https://devfeed.tech/topics/development.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [best-practices](<https://devfeed.tech/tags/best-practices.md>), [community](<https://devfeed.tech/tags/community.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [pitfalls](<https://devfeed.tech/tags/pitfalls.md>), [sdks](<https://devfeed.tech/tags/sdks.md>)

### AI overview

This article explains Temporal best practices through a list of anti-patterns. The supplied sections advise against wrapping Temporal SDKs so deeply that important features are hidden or upgrades become difficult, while noting that thin layers can simplify security, cloud connections, metrics, or workflow development. It also introduces idempotency and local activities as another area where developers may mistake unfinished work for completion.

### Source excerpt

Temporal best practices (and their corresponding anti-patterns) explained.

## What is idempotency? And why it matters for durable systems

DevFeed: [What is idempotency? And why it matters for durable systems](<https://devfeed.tech/articles/what-is-idempotency-and-why-it-matters-for-durable-systems-35877.md>)

Original publisher: [Read original article](<https://temporal.io/blog/idempotency-and-durable-execution>)

Author: Joshua Smith

Published: 2024-02-27T08:00:00Z

Content type: tutorial

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [retry](<https://devfeed.tech/topics/retry.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [examples](<https://devfeed.tech/tags/examples.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [retries](<https://devfeed.tech/tags/retries.md>), [safely](<https://devfeed.tech/tags/safely.md>), [temporal-concepts](<https://devfeed.tech/tags/temporal-concepts.md>)

### AI overview

This tutorial explains idempotency in programming and distributed systems: repeated requests produce the same result, making retries safer and reducing unintended duplicate effects. It uses database, media-player, and order-processing examples and discusses how Temporal can help manage complex cases.

### Source excerpt

Learn what idempotency means in programming and distributed systems. Discover how Temporal helps manage retries and durability with real-world examples.

## Building reliable distributed systems in Node.js

DevFeed: [Building reliable distributed systems in Node.js](<https://devfeed.tech/articles/building-reliable-distributed-systems-in-node-js-35748.md>)

Original publisher: [Read original article](<https://temporal.io/blog/building-reliable-distributed-systems-in-node>)

Author: Loren Sands-Ramshaw

Published: 2023-01-20T05:00:00Z

Content type: tutorial

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Node.js](<https://devfeed.tech/topics/node-js.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [SDK](<https://devfeed.tech/topics/sdk.md>), [TypeScript](<https://devfeed.tech/topics/typescript.md>), [JavaScript](<https://devfeed.tech/topics/javascript.md>)

Tags: [client](<https://devfeed.tech/tags/client.md>), [consistency](<https://devfeed.tech/tags/consistency.md>), [credit-card](<https://devfeed.tech/tags/credit-card.md>), [database](<https://devfeed.tech/tags/database.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [execution](<https://devfeed.tech/tags/execution.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [idempotency](<https://devfeed.tech/tags/idempotency.md>), [node](<https://devfeed.tech/tags/node.md>), [node-js](<https://devfeed.tech/tags/node-js.md>), [process](<https://devfeed.tech/tags/process.md>), [retries](<https://devfeed.tech/tags/retries.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [server](<https://devfeed.tech/tags/server.md>), [systems](<https://devfeed.tech/tags/systems.md>), [typescript](<https://devfeed.tech/tags/typescript.md>)

### AI overview

This tutorial explains how durable execution helps build reliable distributed systems in Node.js. It introduces failure and consistency problems that arise when workflows span multiple services or external APIs, then presents Temporal's TypeScript/JavaScript SDK as a way to manage persisted progress, retries, timeouts, and recovery.

### Source excerpt

Durable execution in distibuted systems is the sought after goal. Find out how building reliable distibuted systems in easy with Temporal's Typescript SDK.