Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
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Introduction Last year we published YCSB benchmarks that compared IBM SoftLayer with Amazon Web Services. This generated a lot of…
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When you evaluate a database to use in your application stack, you usually look at the features, the performance, the…
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Continuous integration (CI) has become a fundamental process in many software-based companies in recent years. Fortunately, frameworks such as Jenkins…
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My name is Yiqun Zhang and I worked as a software engineering intern on the SQL core team at Volt…
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One of the key tasks during initialization of a Volt Active Data cluster is determining cluster topology. The topology includes…
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A couple of weeks ago, an interesting issue came up in the field. The symptom was that the resident set…
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Trying to choose a database to solve a problem (or a whole set of them)? Here’s a quick rundown of…
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The sale and subsequent closure of FoundationDB cut short something of a grand experiment. FoundationDB, conceived as a Key-Value store,…
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Working on distributed systems is fun, but not easy! As a software engineer at Volt Active Data, a big chunk…
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The Lambda Architecture defines a robust framework for ingesting streams of fast data while providing efficient real-time and historical analytics.…
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My name is Yetian Xia. I worked as a software engineering intern at Volt Active Data during the summer, working…
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ndexes provide a classic “space for speed” trade-off. They add to the persistent memory footprint of your application data but…
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.