Category: high availability
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8 min read
Top 3 Kafka Streams Challenges
Read more: Top 3 Kafka Streams ChallengesWe’ve been writing a lot about challenges lately. We recently wrote about API challenges – now we’re discussing challenges with Kafka Streams. Volt is very big on Kafka, as we specialize in complementing it in a really powerful way to allow enterprises to get the most…
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8 min read
How Caches Become Databases – And Why You Don’t Want This
Read more: How Caches Become Databases – And Why You Don’t Want ThisCompanies like to complicate things. There’s no better way to say it. The law of entropy clearly applies as much to tech stacks and data management as it does to closets and desk drawers. In the world of databases, data management, and…
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8 min read
The 6 Rules for Achieving (and Maintaining) High Availability
Read more: The 6 Rules for Achieving (and Maintaining) High AvailabilityIn the age of big-data-turned-massive-data, maintaining high availability, aka ultra-reliability, aka ‘uptime’, has become “paramount”, to use a ChatGPT word. Why? Because until recently, most computer interaction was human-to-computer, and humans are (relatively) flexible when systems misbehave: they can try a few more…
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- AI/ML
- APIs
- caches
- Caches; data platform; databases; latency; real-time data processing
- Cloud/Edge
- Consistency
- Cost/TCO
- Fraud Prevention
- high availability
- Hyper-Personalization
- Industrial IoT
- Intelligent Manufacturing
- Latency
- Private 5G networks
- Real-time decisioning
- Real-Time Use Cases
- Scalability
- SQL vs NoSQL
- Streaming/Kafka
- Telco/5G
- Volt Capabilities
- Zero downtime