Durable Execution inventor. Cofounder/CTO of @temporalio. Former tech lead of Uber Cadence Workflow open source project, AWS SWF, and AWS SQS storage.
Joined February 2012
- Tweets 1,468
- Following 380
- Followers 1,849
- Likes 1,537
30 Photos and videos
Maxim Fateev retweeted
Jun 7
Not every workflow deserves equal treatment. Some jobs need to jump the line, some users can't be allowed to starve everyone else, and a fair scheduler is harder to build than it looks. So how do you actually do this in a workflow engine?
Join our Vibe Check livestream this Wednesday as we dig into why priority and fairness matter in workflow systems, how to actually configure them, and when you'd reach for these patterns in production.
Register: luma.com/2oza0qfl
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Maxim Fateev retweeted
Jun 2
Our newest Temporalite spent his first week at Replay '26 surrounded by 2,000 engineers. He wrote about his favorite moments and his biggest takeaways: temporal.io/blog/replay-26-i…
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Maxim Fateev retweeted
May 29
A developer consultant at @bitovi built a customer support AI agent on Temporal and AWS Bedrock and wrote exactly what it took to make it work: temporal.io/blog/what-does-t…
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Maxim Fateev retweeted
May 21
One year out of college. Only Temporal experience: beginner courses.
3 weeks later: 50k lines of Temporal code in production - email integrations, AI voice, OpenAI request categorization, JWT magic links, all orchestrated by Workflows.
The full story (including an anti-pattern caught in hindsight): temporal.io/blog/overcoming-…
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Maxim Fateev retweeted
May 18
ICYMI: @OpenAI shipped sandbox support in the Agents SDK recently and we built a Temporal extension for it - fully runnable, lives in their official repo.
Durable agents, session management, fork a live agent onto a completely different sandbox provider mid-run.
How it works: youtube.com/watch?v=A1H8Jdre…
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May 14
You should never build a multi-tenant service without fair queueing.
May 13
Ready to leave behind custom prioritization logic for your Workflows?
Task Queue Priority & Fairness lets you control which tasks run first and prevents any single Workflow/user/tenant from monopolizing capacity.
Details here: temporal.io/blog/task-queue-…
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Maxim Fateev retweeted
May 13
Ready to leave behind custom prioritization logic for your Workflows?
Task Queue Priority & Fairness lets you control which tasks run first and prevents any single Workflow/user/tenant from monopolizing capacity.
Details here: temporal.io/blog/task-queue-…
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Maxim Fateev retweeted
May 1
A machine goes down. With Temporal, you can basically ignore it.
Full state intact. No repeated steps. Picks up where it left off.
"It brings the joy back to programming." –Tom Wheeler
Episode 1 of our @TechstrongTV series is live: techstrong.tv/videos/tempora…
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Maxim Fateev retweeted
Apr 28
your largest customer uploads 10,000 files to analyze
your queue: 💀
your SLA: 💀
your on-call engineer: 💀
we built a fix for this. come hear about it may 14th
pages.temporal.io/webinar-pr…
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Maxim Fateev retweeted
Apr 22
Tomorrow at #GoogleCloudNext: @mfateev on stage with @GitLab @vellum_ai talking Durable Execution, agent orchestration, and why stateless infrastructure breaks down the moment real workflows hit it.
Register:
googlecloudevents.com/next-v…
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AI agents don't just need smarter models. They need code that won't crash.
See what @temporalio co-founder and CTO, @mfateev, had to say at HumanX.
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Maxim Fateev retweeted
Apr 8
@JoinNooks went from 30–40k calls/day to 1M with a lean platform team.
No architectural overhaul. Just Temporal.
temporal.io/resources/case-s…
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Maxim Fateev retweeted
Apr 7
The Temporal Worker Controller now supports autoscaling.
New WorkerResourceTemplate automatically attaches HPAs PDBs to each versioned deployment and scales per version based on backlog, cleans up when versions sunset. Set it once and stop managing k8s scaling by hand.
Details:
temporal.io/blog/safe-versio…
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Maxim Fateev retweeted
Apr 6
Worker Versioning is GA and "Upgrade on Continue-as-New" just dropped into Public Preview. RIP to patch code in your Workflows.
All the details: temporal.io/blog/ga-worker-v…
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Maxim Fateev retweeted
Apr 3
FireHydrant migrated their mission-critical Runbooks from Sidekiq to Temporal, with a 99.995% success rate in the first 24 hours.
Great write-up from @firehydrant 🔥 firehydrant.com/blog/sidekiq…
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Maxim Fateev retweeted
Apr 2
🛠️ Temporal Workers have no inbound traffic, no load balancer, and nothing to route requests. Deploying them on ECS requires different thinking than a typical web service.
Ebenezer Ankrah wrote the full guide, with a working example repo: temporal.io/blog/deploying-t…
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Maxim Fateev retweeted
Feb 19
Temporal CEO Samar Abbas: “A couple of years ago actually, I said: looks like we have over-engineered on scale. What's the use case where we need this much scale? And then of course, the whole AI agent wave happened."
Sometimes you build the right thing too early. Great pod with @SamarAtTemporal:
"We are clearly entering a world where a product-minded engineer is now empowered to produce software without writing a line of code for it."
In this conversation, Temporal CEO Samar Abbas joins a16z GPs Sarah Wang and Raghu Raghuram to cover:
- Why agents are going from short-lived and interactive to long-running and async
- Why the engineer of the future manages 15 parallel AI tasks at once
- How OpenAI Codex runs millions of concurrent agent executions on Temporal
- How real-time context engineering is exploding on Temporal
- Why SaaS isn't dead, and value is migrating to APIs
00:00 Introduction
04:03 Temporal's origin story
11:14 Why agents raise the stakes
16:00 Specialized agents need durable RPC
25:20 Deep research agents
30:58 Execution histories as a superpower
39:04 Minimal viable long-running agent architecture
45:07 Context engineering at scale
52:40 Where value accrues: The "five-layer cake" and breakout AI applications
@SamarAtTemporal @sarahdingwang @RaghuRaghuram
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Maxim Fateev retweeted
Feb 19
This was so much fun. Thanks @sarahdingwang @RaghuRaghuram for having me.
"We are clearly entering a world where a product-minded engineer is now empowered to produce software without writing a line of code for it."
In this conversation, Temporal CEO Samar Abbas joins a16z GPs Sarah Wang and Raghu Raghuram to cover:
- Why agents are going from short-lived and interactive to long-running and async
- Why the engineer of the future manages 15 parallel AI tasks at once
- How OpenAI Codex runs millions of concurrent agent executions on Temporal
- How real-time context engineering is exploding on Temporal
- Why SaaS isn't dead, and value is migrating to APIs
00:00 Introduction
04:03 Temporal's origin story
11:14 Why agents raise the stakes
16:00 Specialized agents need durable RPC
25:20 Deep research agents
30:58 Execution histories as a superpower
39:04 Minimal viable long-running agent architecture
45:07 Context engineering at scale
52:40 Where value accrues: The "five-layer cake" and breakout AI applications
@SamarAtTemporal @sarahdingwang @RaghuRaghuram
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Maxim Fateev retweeted
Feb 17
When we asked leading AI companies what they were using as foundational infrastructure, one name kept popping up over and over again. It is the same one that has been powering mission-critical workflows for large enterprises and digital natives.
@temporalio
Temporal is building the execution layer to power workflows at scale reliably, an undeniable need as agents move from experiments to production. As leading minds that have been pushing the frontier in this space for over a decade, there are no two people better in the world to tackle this problem than @SamaratTemporal and @mfateev, and we @a16z are excited to lead their Series D.
More from our team: a16z.com/announcement/invest…
Feb 17
Today marks an incredible milestone for @temporalio Technologies. I am proud to share that the company has raised $300M in Series D funding at a $5B valuation, led by @a16z.
This news is a testament to the community and trust we’ve built in our Durable Execution, further solidifying our mission to continue investing in open source, expand cloud platforms, and continue helping companies move agentic AI out of the lab and into the real world.
Read more here: temporal.io/news/temporal-ra…
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