Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
DTW Ignite brought together network operators, vendors, and systems integrators to talk about where telecom infrastructure is heading. This year we showed up differently than in years past. Together with…
FinNext 2026 brought together leaders from banking, fintech, payments, lending, and technology to talk about where the financial services industry is heading. AI, data infrastructure, cloud, and tokenization all got…
I've had some version of the same conversation dozens of times. An operator or platform team has invested heavily in an AI-driven decisioning system (fraud detection, network policy, real-time charging),…
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Volt Active Data In-Memory Database Achieves Best-In-Class Results, Running in the Cloud, On the YCSB Benchmark
The development team at Volt Active Data recently ran Volt Active Data v4.2 against the Yahoo Cloud Serving Benchmark (YCSB),…
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Aging Out Data From Volt Active Data
Deleting records is often an afterthought when you’re first building a proof of concept with Volt Active Data, but it…
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Using The Spring @Schedule Annotation
In a previous life I had a requirement that a web application scanned the expiration date of purchased content and…
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Clarifications On The CAP Theorem And Data-Related Errors
There has been another round of online conversations about the CAP theorem as the internet community continues to discuss its…
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Volt is the real-time decisioning layer for mission-critical systems, ensuring decisions are made and enforced immediately against accurate state, even under sustained load.
If your system cannot tolerate delayed enforcement, inconsistent behavior, or reconciliation after the fact, let’s start a conversation about whether a dedicated decisioning layer makes sense for your architecture.
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