Scaling the Unknown: How monday.com Built Performance Guardrails for AI and Custom Apps

Abstract

At monday.com, we’ve learned that performance bottlenecks are never solved—only relocated. This became critical as AI and user-built apps introduced unpredictable traffic that traditional benchmarks couldn't handle.

We shifted from manual tuning to performance-oriented platform design, deploying adaptive guardrails in just three months. These constraints protect system stability while allowing for rapid, custom innovation.

This session breaks down how to build resilient, extensible platforms. Learn which assumptions failed, which guardrails work, and how to keep APIs fast when you no longer control the client.


Speaker

Eviathar Moussaffi

R&D Director and Site Lead @Monday

Eviathar Moussaffi is an R&D Director at monday.com and Site Lead for its London engineering hub. With 14+ years of experience, he leads platform, data, and AI foundations powering products used by millions. His work includes scaling monday.com’s core platform by 100× and enabling AI systems at scale. He focuses on platform architecture, scaling organizations, and engineering culture.

Read more

Session Sponsored By

Work OS is a no-code, low-code framework. We have built a product suite on top of our Work OS to address the needs of specific industries and use cases — including monday Work Management, Dev, and Sales CRM. Building blocks like items, columns, views, automations, integrations and widgets allow customers to create custom software applications and workflows to fit their evolving needs.

Date

Monday Mar 16 / 10:35AM GMT ( 50 minutes )

Location

Westminster (4th Fl.)

Video

Video is not available

Slides

Slides are not available

Share

From the same track

Session

Maximising an Agentic AI Ecosystem: Trust, Control and Scale

Monday Mar 16 / 02:45PM GMT

Agentic AI is rapidly moving beyond individual assistants toward interconnected ecosystems of agents, tools, and platforms. This shift promises step‑change improvements in productivity and autonomy—but it also introduces new challenges around trust, control, and operational scale.

Speaker image - Jonathan Griffiths

Jonathan Griffiths

Field CTO @Dynatrace

Session

Beyond Observability: Implementing Runtime Guardrails for Production AI Agents

Monday Mar 16 / 03:55PM GMT

Agentic engineering thrives in controlled environments but often falters in dynamic production systems.

Speaker image - May Walter

May Walter

Co-Founder and CTO @Hud

Session

Context Engineering: Building the Knowledge Layer AI Agents Need

Monday Mar 16 / 05:05PM GMT

Every AI coding tool can generate code. Very few can generate the right code for your organization — because they're missing context.

Speaker image - Brandon Waselnuk

Brandon Waselnuk

Developer Relations @Unblocked

Session

From Pilot to Impact: How AI Is Transforming Large‑Scale Engineering

Monday Mar 16 / 11:45AM GMT

In large, highly regulated enterprises like ING, adopting AI in engineering isn’t as simple as enabling a new tool — it’s a fundamental shift in how thousands of engineers design, build, and deliver software.

Speaker image - Yaping (Luna)	 Luo

Yaping (Luna) Luo

Global Head of Developer Experience (DevEx) & System Engineering @ING

Session

From Prompt to Production: How Spotify Builds Internal Tools in Days with AI and Platform Engineering

Monday Mar 16 / 01:35PM GMT

Spotify Portal Studio + Claude — Empowering Internal Teams to Build Tooling

Speaker image - Stuart Clark

Stuart Clark

Senior Developer Advocate @Spotify

Speaker image - Mike Lewis

Mike Lewis

Staff Engineer @Spotify