Database DBA Support
Customer success story
SoundCloud keeps millions of fans listening without interruption.
SoundCloud eliminates database bottlenecks with on-demand DBA support.
Pythian reduced read latencies by optimizing Cassandra clusters and implementing a multi-datacenter migration.
SoundCloud’s production team was bottlenecked by decentralized database management, forcing developers to abandon product innovation to resolve complex Cassandra outages. Pythian's expert DBA support delivered on-demand DataStax optimization and multi-datacenter migration. The engineering team reclaimed hundreds of hours, allowing them to focus exclusively on high-value creator tools and strategic platform growth rather than routine maintenance.
“Pythian created a model where we could subscribe to hours over a period of time. The Pythian team is like an extension of our team. They’re like an on-tap consulting company.”
Jake Maizel
VP of Infrastructure, SoundCloud
84%
System speed increase
40ms
Read latency
5x
Faster response time
Reclaim your team's roadmap with on-demand DBA services.
Strained infrastructure and scaling bottlenecks threatened SoundCloud’s global user experience.
Pythian transformed database operations from a decentralized burden into a high-availability strategic asset.
“We tap into Pythian’s expertise and ask questions about how we should do things.”
Jake Maizel
VP of Infrastructure, Soundcloud
Lean teams overwhelmed by specialized Cassandra issues
SoundCloud’s production engineering veterans became a critical bottleneck as they struggled to manage complex database troubleshooting alongside their core development projects.
Database management pulled focus from innovation
Individual developers were forced to handle scaling and schema changes manually, diverting their attention from building high-value, artist-centric features.
High read latencies threatened global responsiveness
With read latencies reaching 250ms, the music platform faced growing performance risks that compromised the seamless experience expected by its global audience.
Architectural complexity stalled multi-datacenter migration
Implementing a critical multi-datacenter architecture required deep technical expertise to ensure high availability and scaling without causing platform downtime.
On-demand DBA services eliminate bottlenecks.
By offloading complex database maintenance to Pythian’s experts, SoundCloud’s internal teams were able to shift their focus back to strategic product innovation and achieving critical agile development goals.
Deep-dive cluster optimization slashes read latencies.
By refining the DataStax Java driver and optimizing cluster topology, Pythian successfully reduced 99th percentile read latencies from 250ms down to a high-performance 40ms.
Datacenter scaling for zero-downtime migration.
Pythian provisioned a new datacenter while adhering to strict topological constraints, securing zero data loss and reliable performance for SoundCloud's 100 million global users. This multi-datacenter migration modernizes infrastructure and ensures enterprise-grade availability.
Embedded experts in daily operations.
By establishing a shared Slack channel, Pythian accelerated response times through a real-time, direct-access support model. This seamless integration injected expert troubleshooting straight into SoundCloud’s daily operations, delivering the instant consultation needed to resolve complex database issues.