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About us

Learn.Build.Scale 

Join us as we explore Aerospike, a real-time, high throughput, low latency NoSQL database. Learn about building real-time, data driven applications while discussing NoSQL and distributed databases, emerging technologies, and more. With a focus on real-time use cases, best practices and shared learnings for managing, running and building with Aerospike, meet our technical team of experts, expand your network, and hear from others about their development learnings first-hand.

Plus, we’ll save time for questions and your feedback.

These gatherings offer a community of support, collaboration, and education. Everyone, no matter what skill level or experience, is welcome. Enjoy food, drink, cool dev swag and networking!

We’re building a strong, active developer community on Discord. Join us !

Questions? 
Talk to us! [developer@Aerospike.com](mailto:developer@Aerospike.com

Visit our Developer Hub here.

Upcoming events

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  • Lessons from the Field: Scale, Availability, and Performance

    Lessons from the Field: Scale, Availability, and Performance

    Location not specified yet

    IMPORTANT NOTICE registration is HERE
    Please bring a valid ID (driving licence or passport) with you on the day, as it will be required for entry to the venue.

    Join Aerospike AWS, Adjust and Miro for an evening of technical talks focused on the challenges of running real-time, business-critical systems at scale.

    Hear firsthand lessons from engineers managing large datasets, database migrations, and cloud infrastructure availability in production. From Miro's Redis-to-Aerospike migration on Kubernetes to AWS best practices for capacity planning and resilience, speakers will share practical insights gained from operating demanding workloads where performance and reliability matter.
    ​Connect with fellow engineers, architects, and technology leaders from Berlin's tech community over drinks and networking.

    Agenda

    17:30 – 18:00 - Welcome & networking

    18:00-18:10 - Speed vs Capacity: Designing Data Systems for Real-Time Scale
    Dirk Möller, Regional Lead Germany and EE, Aerospike

    In high-performance data systems, balancing RAM and disk is key to real-time performance at scale. This session explores the technical nuances of database architecture in today’s AI-driven era, where workloads demand low latency, massive scale, and adaptive infrastructure. Drawing on real-world, mission-critical systems, we’ll show how to achieve the right mix of speed, scale, cost-efficiency, and reliability - designing architectures that meet today’s real-time demands while staying sustainable and affordable.

    18:10 – 18:30 - Scaling Beyond Millions of Transactions
    ​Leonardo Muñoz, Platform Engineer, Adjust

    A behind-the-scenes look at how Adjust powers high-throughput, low-latency workloads at scale using a distributed database platform running on bare metal infrastructure. Leonardo will explore the architectural and operational decisions behind the deployment, the challenges of managing dedicated hardware at scale, and the lessons learned from years of production experience supporting mission-critical workloads.

    18:30 – 18:50 - Pod Ready ≠ Data Safe: Migrating a Critical Dataset on Kubernetes
    Yuriy Chernikov, Staff Software Engineer, Miro

    Miro migrated one of its most critical datasets from a legacy caching platform to a modern distributed database running on Kubernetes - and not everything went according to plan. This practical talk covers what the migration actually required, the design decisions that made failures survivable, and the operational lessons that only emerge when managing datasets measured in terabytes.

    18:50-19:10 - Managing Amazon EC2 Capacity and Availability
    Nati Cohen, Sr. Specialist Solutions Architect, Compute, AWS

    Modern data-intensive applications require infrastructure that delivers high performance, scalability, and resilience. Organizations often seek to leverage the latest storage-optimized EC2 instances, select larger instance sizes for improved performance, place infrastructure close to data producers and consumers, and scale efficiently as business demands grow.

    In this session, we'll explore how to balance these performance requirements with cost optimization and capacity availability. We'll review the various EC2 capacity and reservation models, including Capacity Reservations, On-Demand Instances, Savings Plans, and more. Learn how to combine these options to optimize cost, performance, and availability for large-scale production workloads

    19:00-20:00- Networking

    IMPORTANT NOTICE registration is HERE

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