Predictable Latency for the Systems That Move Markets

Trading, payments, and investment platforms process transactions in real time, and their databases sit in the critical path of every order, trade, and settlement. When storage latency spikes at peak volume, execution slows, positions process late, and client SLAs are missed, which creates both financial and regulatory risk. Average latency hides these spikes. What matters is consistent latency at the busiest moment, which is what Silk is built to deliver.

Yes. Silk runs underneath your existing databases on standard cloud VMs in your own AWS, Azure, or Google Cloud account, so applications, schemas, and DBA processes move as they are. There is no need to re-platform to a cloud-native database or rewrite application code to work around native storage limits. SimCorp used this approach to lift and shift its 25-year-old SimCorp Dimensions platform to SaaS on Azure.

Native cloud disks tie performance to capacity and cap throughput and IOPS per volume and per VM, so teams overprovision storage just to reach the performance their databases need. Silk decouples performance from capacity by aggregating resources across a cluster of cloud VMs, delivering consistent sub-millisecond latency at IOPS levels a single native volume can't reach. Because capacity no longer has to be oversized for speed, provisioned storage, and the bill that comes with it, goes down.

Regulations such as the EU Digital Operational Resilience Act require financial institutions to show that critical services can withstand and recover from disruptions. Silk removes single points of failure across nodes, availability zones, and regions, and recovers automatically from cloud host failures and maintenance events without operator intervention. Instant snapshots and replication support recovery and failover testing, giving teams evidence they can bring to resilience reviews. Silk is one part of an institution's resilience program, not a substitute for it.

Silk's zero-footprint snapshots and thin clones create a full-performance, isolated copy of a production database in minutes. Each team, whether dev, QA, risk, analytics, or AI, works on current data without adding load to production or waiting days for a manual refresh. Clones share underlying data blocks, so dozens of copies add near-zero storage until data changes.

Silk runs on Amazon Web Services, Microsoft Azure, and Google Cloud, inside your own cloud account. It supports relational databases, including Microsoft SQL Server and Oracle, as well as other block-storage workloads. Silk is available through the AWS, Azure, and Google Cloud Marketplaces, so purchases can count toward existing cloud commitments.