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    <title>Reliability on API Course</title>
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    <description>Recent content in Reliability on API Course</description>
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      <title>API Error Handling: HTTP Status Codes, Error Bodies, and Retry Logic</title>
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      <pubDate>Sat, 02 May 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Errors are not edge cases in API development. They are a primary output. Every API call that can fail will fail — due to invalid input, authentication problems, resource conflicts, rate limits, or infrastructure issues — and how an API communicates those failures determines whether integrators can handle them gracefully or are left guessing. An API that returns clear, consistent, actionable errors is a well-designed API. Everything else is guesswork at scale.&lt;/p&gt;</description>
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      <title>Idempotency in APIs: Building Operations That Are Safe to Retry</title>
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      <pubDate>Sat, 02 May 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Networks fail. Connections drop. Load balancers time out. Servers restart mid-request. In a distributed system, any request that travels over a network can be sent but not confirmed, leaving the caller uncertain whether the operation completed. This is not a rare edge case — it is a routine condition that well-designed APIs must handle. Idempotency is the mechanism that makes retrying safe when certainty is unavailable.&lt;/p&gt;&#xA;&lt;h2 id=&#34;what-idempotency-means&#34;&gt;What Idempotency Means&lt;/h2&gt;&#xA;&lt;p&gt;An operation is idempotent if performing it multiple times produces the same result as performing it once. The outcome is identical whether you call it one time or ten times; subsequent calls do not change anything that the first call already changed.&lt;/p&gt;</description>
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