Serverless Workers for Google Cloud Run are in public preview.
Temporal scales your Cloud Run Worker Pools up, down, and to zero automatically. No infrastructure planning needed.
Get started: https://t.co/GLE0tdhlyB
"Temporal is the durable execution layer under a large part of Coinbase. Trading workflows, payments and payouts, settlement, regulatory flows such as GDPR deletion, travel rule checks and KYC refresh, and internal platform work such as ETL, backfills, ML-driven notifications and infrastructure provisioning all run on it.
We migrated more than 300 namespaces across more than 300 services off a custom, self-hosted Temporal deployment and onto Temporal Cloud. The custom self-hosted stack is retired. The workload mix ran from workflows finishing in seconds to workflows that stay open for days, and traffic was often spiky rather than steady."
Big thanks to @coinbase for the detailed write-up: https://t.co/qKldmjIIz5
Heading to MongoDB.local NYC tomorrow?
Catch our CTO @mfateev after the opening keynote on a panel discussion with @OpenRouter and @cognition on what it takes to run AI agents reliably in production.
What if an AI agent could become durable without changing the agent code itself?
In this guest post, Greg Haskins, co-founder and CTO at Manetu, explains how AgentVisor maps Agent Protocol Threads to Temporal Workflows so agent state, checkpoints, and long-running sessions can survive crashes and resume elsewhere.
Read more: https://t.co/xn0KJNblrr
Introducing the prerelease of Amazon Bedrock AgentCore runtime as a compute provider for Temporal Serverless Workers.
⚡ Scale Worker capacity up or down based on demand
🔄 Recover from failures without losing Workflow progress
🛠️ Deploy and operate agents without managing an always-on Worker fleet
See how it works and explore the reference architecture: https://t.co/TUfVbw1RJ2
Coding agents are great at writing code. Correct Temporal code takes the right context and guardrails.
Mason Egger shares how he uses the Temporal Developer Skill, SDK samples, the Knowledge Base MCP, and testing to keep agents on track: https://t.co/LpxKYFzvJp
Standalone Activities are now GA.
Use Temporal as a job queue for background work. Each job is recorded before it reaches a Worker and retried according to policy. Its status, errors, and result stay in one place.
All the details are on our blog: https://t.co/6PYJXteFdI
auth isn't a one time job. it's keeping a browser profile alive through MFA, approvals, and reauth every time after the first. that's a @temporalio workflow.
our founding engineer, @masonwilliams, on vibe check
anotha one ! 💯
durable AI september in the books ✅ s/o to these amazing speakers for sharing their personal takes and insights covering different layers of bringing agents to production.
thanks @coderabbitai & @HKrackDev for co-hosting!!!
Maria Educação uses Temporal Cloud to run durable AI workflows for content generation, assessments, and personalized learning across 80+ municipalities in Brazil.
With a team of 38, they support 80+ municipalities and 10M+ students while orchestrating roughly 100 Workflows across the platform.
https://t.co/PEFZfgLAjV
Strada uses Temporal to keep AI insurance agents running across multi-day workflows, human handoffs, and external system failures.
The result is durable state, safer retries, and reliable coordination when multiple agents share the same customer context.
Read the case study: https://t.co/MZF3V74hMu