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World Congress 2025 • Aug 20, 2025 • Session details

Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure

Mikael Robert

How did a five-person team scale infrastructure for 84 million users? Discover Yubo's lean GitOps strategy for conquering technical debt and slashing observability costs.

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#1 about 2 min

Operating global infrastructure with tiny engineering teams

Operating a massive social platform directly with just five individuals highlights how strict operational constraints force valuable automation patterns.

#2 about 1 min

Overcoming operational debt in unmanaged giant clusters

Moving beyond unmanaged single-cluster environments and unstructured hardware establishes the foundation for scalable declarative system management.

#3 about 2 min

Embedding data engineering to solve database scalability

Integrating data engineers directly alongside infrastructure early in feature development prevents production bottlenecks by anticipating specific indexing complexities.

#4 about 1 min

Automating delivery workflows via centralized gitops patterns

Adopting central repositories synchronized via automated deployment controllers prevents manual configuration drift across growing deployment states.

#5 about 4 min

Empowering developer autonomy with custom resource definitions

Masking intricate backend mechanisms behind custom orchestration boundaries securely empowers engineers to manage application delivery without bottlenecking infrastructure experts.

#6 about 1 min

Standardizing continuous integration pipelines across diverse languages

Orchestrating code compilation builds via unified declarative template configurations accelerates safe feature turnover for autonomous development squads.

#7 about 2 min

Distributing feature data asynchronously using change data capture

Allowing controlled datastore duplication via asynchronous streaming event feeds protects central data foundations from aggressive real-time querying bursts.

#8 about 1 min

Normalizing machine learning deployments via standard operational pipelines

Managing distinct inference algorithms through unified deployment lifecycles standardizes rollout methodologies alongside normal web framework release streams.

#9 about 1 min

Launching independent architectures rapidly utilizing global modular templates

Encoding comprehensive infrastructure layouts within unified configuration properties enables identical application verticals to physically materialize instantly.

#10 about 2 min

Combining saas and open-source observability for extreme scale

Blending highly visual premium interfaces with massive open-source data layers balances deep metric analysis against staggering scaling costs.

#11 about 4 min

Controlling observability costs through intelligent granular telemetry routing

Downsampling specific analytics for premium interfaces while retaining unabridged raw trace payloads natively solves financial forecasting realities without limiting resolution speed.

Matching moments

3:42 min

Managing high-traffic infrastructure without chasing technology hype

Josip Stuhli Josip Stuhli · Coffee With Developers

2:38 min

Extreme engineering culture for massive web data operations

Ariel Shulman Ariel Shulman +1 · World Congress 2026 Europe

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

3:00 min

Refactoring a complex legacy monolith into microservices

Andrew Holway · LIVE

2:36 min

Modern application stacks and real-time data requirements

Tim Faulkes · LIVE

4:56 min

Boosting developer productivity via consolidated converged database architectures

Wei Hu Wei Hu · World Congress 2023

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