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AWS Step Functions is a serverless orchestration service that coordinates AWS services into state-machine workflows, with Distributed Map for parallel tasks.
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One developer's Lambda durable function executed 'escalate' after a human approved 'refund', because replay ran the uncheckpointed agent call a second time. Whatever a human signs off on has to be checkpointed with context.step so every replay returns the same value.
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Dropping three driver-side rewrite passes and one Step Functions wave produced most measured savings in a Glue pipeline's 56% runtime cut. An unindexed Oracle partition and a driver memory ceiling show where more concurrency stops helping.
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BMW Group's CLEA forecasts hundreds of thousands of account-service pairs every day with Prophet on Lambda, then has to decide which of those deviations is worth an account owner's email. Compute runs about $50 a month.
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An engineer who runs Camunda 8 in production priced the AWS alternative from its docs and found the billing unit is the state transition, so the same order costs more on the days its steps have to retry and roll back.
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AWS's walkthrough for the pattern wires GitHub and GitLab activity feeds through Step Functions into QuickSight on a schedule you set in CloudFormation, with a detector Lambda that skips the whole cycle when nothing has changed.
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AWS's serverless redaction pipeline swaps the trained entity model for a schema of named fields and plain-language descriptions, and Bedrock Data Automation hands back a confidence score and a bounding box for every instance it finds.
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Aurora Serverless v2 idles at about $43 a month at its 0.5-ACU floor, close to three times the whole $15 EC2 box being retired, so the read path became a SQLite file in S3 and the writes went to DynamoDB.
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Lightspeed co-led a $550 million Series E on September 14th, seven months after Temporal's $5 billion Series D. The operating metrics behind the markup are Temporal's own: 4,300 paying customers and 1.9 trillion billable actions in August.
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Kestrel Workflows built durable execution out of Postgres row locks, constraints and leases, and published the schema that does it. The design keeps a second stateful system out of the path of every incident response.
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A dev.to walkthrough puts a quantized Llama 3.2 3B on up to 10,000 concurrent Lambdas and writes a million daily briefings for $48. The timing math is internally consistent. The per-GB-second price behind the $48 is unstated.
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The AgentCore lifecycle stack defaults episodic memory to 90 days, while the same post recommends 30 to 60 days for summaries and 6 to 12 months for semantic facts. The default is a placeholder to fork before production.
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Auto-sync put whatever sat on disk into Git history, notebook outputs and stray credentials included. File-level staging fixes that, and it also breaks every handoff a team built on the assumption that saving was enough.
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A dev.to hands-on replaces the classifier Lambda with a Step Functions Choice state. The trade is a second Bedrock invocation on every question, including the cheap ones.
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ADOP keeps agents in development and promotes deterministic artifacts to production, and AWS says your architecture governs the coding tool. The documented path still runs on Claude Code.
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A published EKS control-plane design puts typed proposals, deterministic evidence, Cedar policy evaluation and bounded runbooks between a model's suggestion and production.
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AWS has documented three asynchronous ways to call Bedrock AgentCore agents from serverless pipelines. The interesting part is the billing asymmetry that makes the blocking version expensive.
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