Temporal Headlines

Temporal

Temporal announced it is expanding its existing front-of-shirt Crystal Palace sponsorship to include Crystal Palace Women, framing the move around closing parallel gaps in women's football and women in tech.

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DZone

A DZone architecture article describing how to use Temporal for orchestration, Kafka for chunk processing, and object storage plus RAG to stream large API responses without blocking clients.

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Temporal

Temporal announced an expansion of its Google Cloud partnership, making Temporal Cloud available on Google Cloud Marketplace with pay-as-you-go pricing and launching a public preview integration with Google's Gen AI Python SDK so Gemini-based agents get durable execution built in.

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DZone

An analysis of how Temporal's durable execution platform can make CNN training and inference workflows resilient by handling orchestration, retries, and checkpoint-based recovery.

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Temporal

Temporal introduces Agent Harness, an early look at durable agent infrastructure that adds reliability and control to AI agents.

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Bloomberg

Temporal Technologies is in talks to raise about $500 million at a valuation of at least $12 billion, according to people familiar with the matter.

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SiliconANGLE

Temporal Technologies is reportedly in talks to raise $500 million, which could value the company at more than $12 billion.

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Dealroom

Temporal Technologies is in talks to raise about $500 million at a pre-money valuation of at least $12 billion, Bloomberg reported on August 18. The financing has not closed, and its amount and terms could change.

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DZone

Discusses using Temporal and Kafka to reliably orchestrate small language models through durable workflows, retries, and event ordering.

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The New Stack

Fresh off a $300 million round, Abbas turned Temporal into a test case for agentic AI, shipping features 20% to 30% faster. Whether that speed reaches customers as value, or the business is just growing alongside it, is what he can't yet answer.

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Analytics Insight

The article compares AI workflow orchestration tools including Temporal, highlighting its role in durable execution for enterprise AI systems.

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RamaOnHealthcare

Temporal co-founder Samar Abbas discusses how Temporal's durable execution technology can stabilize AI and long-running processes, positioning the company as a reliability backbone for agentic AI.

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DZone

An article explaining various Temporal workflow design patterns like sagas, polling, fan-out/fan-in, and versioning.

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DZone

Article discusses how to combine Temporal and Kafka to build resilient distributed systems, focusing on design rules and failure semantics.

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DEV Community

A developer builds an open-source Jira automation platform using MCP and Temporal, demonstrating durable execution for agent workflows.

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DEV Community

Comparison article discussing the trade-offs between using Postgres-based durable execution and dedicated orchestrators like Temporal, arguing each has its place.

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Diginomica

Article discusses how UiPath's orchestration platform uses Temporal as its durable execution engine, and interviews UiPath CEO about their approach.

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byteiota

An opinion article arguing that for many AI agent workloads, SQLite with Litestream is sufficient and Temporal is overkill until specific scaling needs arise.

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DEV Community

An article demonstrating how to build crash-proof AI agents using Temporal's durable execution, with a code example and test showing worker crash recovery.

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Startup Fortune

Microsoft builds a durable execution layer for AI agents, competing with Temporal and LangGraph; article discusses Temporal's market position.

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DEV Community

An opinion piece arguing that Postgres can serve as a durable execution engine for many use cases, with comparisons to dedicated engines like Temporal.

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HackerNoon

A tutorial on building durable automation systems using Temporal and node graphs, explaining how to combine Temporal's workflow engine with n8n-style architectures.

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Parminder Singh (personal blog)

A blog post about durable execution in agentic systems, with Temporal as a recommended approach for production reliability.

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Arpit Bhayani's Blog

A comprehensive primer on Temporal's core concepts: workflows, activities, workers, determinism, signals, timers, and when to use it.

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The New Stack

Temporal announces at Replay 2026 that it has reached 3,000 paying customers, including Nvidia and Netflix, highlighting its durable execution framework for AI workflows.

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