Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
The current discourse around AI is fixated on the "Brain" – Large Language Models (LLMs) and the generative capabilities of agents. But for the enterprise, a brain without a nervous…
In 2025, real-time decisioning shifted from a technical ambition to a business requirement. As streaming, AI, and edge computing matured, organizations were forced to rethink how quickly, consistently, and safely…
In mid-October 2025, a single race condition in the DNS automation layer behind Amazon DynamoDB triggered one of the largest cloud outages in recent memory. Tens of thousands of businesses…
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OLAP vs OLTP: Similarities and Differences
In today’s data-driven age, organizations need to make smart decisions when it comes to how they manage their data. To…
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How Machine Learning Can (and Should) Support Real-Time Data Processing
In the era of big data, organizations are grappling with vast amounts of information that can hold immense value if…
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How to Add Real-Time Decisioning to Streaming Data
Streaming data has become practically ubiquitous. From social media feeds to IoT sensors, businesses are now inundated with real-time data.…
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The 5 Main Challenges of Cloud-Native Networking
As more and more companies move their applications and services to the cloud, breaking up monoliths into a number of…
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When Does Streaming Data Become Real-Time Data?
We’ve been hearing a lot about real-time data platforms and also about streaming data and streaming data-enabling messaging technology such…
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Edge vs IoT: What’s the Difference and Where Do They Converge?
As 5G networks become more ubiquitous, smart organizations are laser-focused on doing everything they can to deliver lightning-fast performance to their users…
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Why Streaming Data Platforms Need True Real-Time Decisioning
Simply put: in the year 2023 and for the foreseeable future, businesses need to be able to process and analyze…
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Why You Can’t Retrofit Real-Time Decisioning
Real-time decisioning has rapidly gained popularity within the tech zeitgeist, especially with its connection to streaming data. It seems like everything…
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Edge IoT Platforms: Verticals and Use Cases Driving Growth (Webinar Q&A)
THIS BLOG OUTLINES THE Q&A PART OF THE JOINT STL PARTNERS AND VOLT ACTIVE DATA WEBINAR ON EDGE IOT PLATFORMS IN FEBRUARY…
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How Will Edge and Industrial IoT Converge? These Use Cases Provide Some Hints
In recent years, two rapidly developing technologies have been transforming the way organizations build and use applications: edge computing and the Industrial Internet…
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The Power of Real-Time Data Processing
Over the last ten years, there’s been a lot of talk about real-time data and real-time decisioning, and how they promise to…
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Top 5 Apache Kafka Use Cases: When to Use Kafka
Apache Kafka is now the official gatekeeper of streaming data. It’s a distributed data store designed and perfectly calibrated to ingest…
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.