Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
Walking the floors of MWC this year, one thing was immediately clear to me: Agentic AI has officially moved out of the experimental labs and into active production environments. But…
At the Gartner Data and Analytics Summit in March 2026, the conversation kept returning to the same problem: organizations have built serious streaming infrastructure, but they still can't get authoritative…
The transition to 5G has fundamentally altered the performance expectations placed on the BSS layer. To meet the Ultra-Reliable Low Latency Communication (URLLC) targets of 3GPP standards, network functions like…
-
Bringing Rack-Aware Topology to Volt Active Data
One of the key tasks during initialization of a Volt Active Data cluster is determining cluster topology. The topology includes…
-
Getting around the Transparent Huge Pages trap in Linux
A couple of weeks ago, an interesting issue came up in the field. The symptom was that the resident set…
-
NoSQL vs. NewSQL: Choosing the Right Tool
Trying to choose a database to solve a problem (or a whole set of them)? Here’s a quick rundown of…
-
FoundationDB’s Lesson: A Fast Key-Value Store is Not Enough
The sale and subsequent closure of FoundationDB cut short something of a grand experiment. FoundationDB, conceived as a Key-Value store,…
-
How Docker Simplifies Distributed Systems Development at Volt Active Data
Working on distributed systems is fun, but not easy! As a software engineer at Volt Active Data, a big chunk…
-
Simplifying the (complex) Lambda Architecture
The Lambda Architecture defines a robust framework for ingesting streams of fast data while providing efficient real-time and historical analytics.…
-
Optimizing Index Performance – A CMU Intern’s Work at Volt Active Data
My name is Yetian Xia. I worked as a software engineering intern at Volt Active Data during the summer, working…
-
Best Practices for Index Optimization in Volt Active Data
ndexes provide a classic “space for speed” trade-off. They add to the persistent memory footprint of your application data but…
-
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),…
-
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…
-
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…
-
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…
Let’s Talk
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.
Start Building
Your applications are about to get a whole lot better.