WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe • Jul 10, 2026 • Session details

In-depth .NET Azure Functions: Isolated mode, performance and durable AI agents

Stas Lebedenko

The smallest compute tier in Azure Flex Consumption actually worsens cold starts. Discover the optimal .NET configurations for Isolated workers to slash latency and orchestrate resilient AI agents.

Pause
Mute Enter Fullscreen
#1 about 3 min

Azure functions hosting plans and migration challenges

Because older consumption plans use Windows containers, teams must update applications to adopt the superior Flex consumption model.

#2 about 3 min

Flex consumption plan features and capacity limitations

Managing the Linux-only Flex consumption plan requires acknowledging missing deployment slots and requesting adequate regional compute quotas.

#3 about 3 min

Adopting the .NET isolated worker model for functions

Transitioning away from legacy in-process logic enables teams to deploy standard console applications featuring multiple output bindings.

#4 about 6 min

Load testing and native AOT pre-compilation performance

Testing unoptimized cold starts reveals how native AOT compilation significantly reduces startup latency across various compute sizes.

#5 about 2 min

Optimizing durable functions scaling with sub-orchestrators

Processing heavy event streams necessitates deploying sub-orchestrators to eliminate single-node bottlenecks found in traditional fan-in patterns.

#6 about 3 min

Tuning dynamic concurrency and durable tasks in host.json

Tuning the default configuration parameters allows Azure to automatically manage concurrent activity execution and reduce host logging overhead.

#7 about 3 min

Best practices for function builds and durable orchestration

Reducing cold start footprints requires trimming framework dependencies and carefully managing connection pools within orchestrated activity functions.

#8 about 4 min

Building durable AI agents with Microsoft agent framework

Executing long-running workflows with human feedback benefits from adopting integrated durability structures within the Microsoft agent framework.

#9 about 5 min

Key takeaways for isolated mode and future migrations

Ensuring predictable performance upon scaling highly depends on establishing thorough load tests before the isolated mode deprecation deadline.

Matching moments

2:10 min

Introduction to serverless websites with Blazor and Azure Functions

Menaka Baskerpillai · LIVE

22:32 min

Audience Q&A on language support, performance, and tradeoffs

Akmal Chaudhri Akmal Chaudhri · LIVE

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann Chris Heilmann +2 · LIVE

4:21 min

Scaling operations using Azure AI Foundry tools

Maxim Salnikov Maxim Salnikov · World Congress 2025

1:31 min

Overview of serverless architectures and function as a service

Ingo Weichsel · World Congress 2023

2:54 min

Comparing serverless functions against traditional monolithic architectures

Developersteve · LIVE

More from World Congress 2026 Europe

Building the Nervous System of AI - Michael Kagan (NVIDIA) thumbnail
29:17
3 months ago

Building the Nervous System of AI - Michael Kagan (NVIDIA)

Michael Kagan, Sead Ahmetović

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote thumbnail
19:41
3 months ago

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote

Christian Heilmann

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend thumbnail
32:06
3 months ago

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend

David vonThenen

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes thumbnail
35:13
3 months ago

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes

Irina Branovic

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬 thumbnail
24:23
3 months ago

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

Jeremy Murray

Angstfreude - AI and Corporate Culture - The Thrill and the Threat thumbnail
30:26
3 months ago

Angstfreude - AI and Corporate Culture - The Thrill and the Threat

Axel Ebert, Karin Krobath

Related videos

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact thumbnail
23:33
World Congress 2025 • about 1 year ago

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact

Oliver Will

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure thumbnail
26:35
World Congress 2025 • about 1 year ago

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure

Ricardo

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 4 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Serverless: Past, Present and Future thumbnail
1:01:02
LIVE • about 6 years ago

Serverless: Past, Present and Future

Oliver Arafat

Azure-Well Architected Framework - designing mission critical workloads in practice thumbnail
27:33
World Congress 2025 • about 1 year ago

Azure-Well Architected Framework - designing mission critical workloads in practice

Paweł Siwek

Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents thumbnail
26:54
World Congress 2025 • about 1 year ago

Infrastructure as Prompts: Creating Azure Infrastructure with AI Agents

Marcel Scherenberg

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.