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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

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  4. Petabyte Scale, Gigabyte Costs: Mezmo’s ElasticSearch to Quickwit Evolution

Petabyte Scale, Gigabyte Costs: Mezmo’s ElasticSearch to Quickwit Evolution

Details

Join this webinar to hear how we navigated the transition, the key decision-making frameworks we used, and the architectural challenges we overcame. Whether you're exploring alternatives to ElasticSearch or preparing for your own backend transformation, this session will provide practical insights from a real-world migration.

What You’ll Learn:

  • Signs it was time for Mezmo to move from ElasticSearch to Quickwit

  • The decision framework that guided our selection process

  • Key engineering and architectural hurdles—and how we tackled them

  • Best practices for major infrastructure changes with minimal customer impact

  • Lessons learned and what we’d do differently next time

  • If you're facing scaling challenges, cost pressures, or considering a move to open-source solutions, this session is for you.

Presenters:

Presenter Avatar

Eric Satterwhite

Principal Software Engineer

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