DiscoverCloud CommuteTimeplus: Streaming Analytics for Realtime Data | Jove Zhong
Timeplus: Streaming Analytics for Realtime Data | Jove Zhong

Timeplus: Streaming Analytics for Realtime Data | Jove Zhong

Update: 2024-09-13
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Description

Event-driven processing and real-time stream analytics are common design elements of modern, scalable architectures. Jove Zhong from Timeplus talks about how and why you want to use these architectural patterns and why Timeplus.

In this episode of Cloud Commute, Chris and Jove discuss:

  • What is Streaming Analytics?
  • Why do people prefer Timeplus?
  • What are the challenges with anything stream processing?
  • What does Jove believe the future holds?

Interested to learn more about the cloud infrastructure stack like storage, security, and Kubernetes? Head to our website (www.simplyblock.io/cloud-commute-podcast) for more episodes, and follow us on LinkedIn (www.linkedin.com/company/simplyblock-io/mycompany/). You can also check out the detailed show notes on Youtube (www.youtube.com/watch?v=z6Anit845ZM).

You can find Jove Zhong (Co-Founder and Head of Product at Timeplus) on Linkedin: https://www.linkedin.com/in/jovezhong

About simplyblock:

Simplyblock is an intelligent database storage orchestrator for IO-intensive workloads in Kubernetes, including databases and analytics solutions. It uses smart NVMe caching to speed up read I/O latency and queries. Single system connects local NVMe disks, GP3 volumes, and S3 making it easier to handle storage capacity and performance. With the benefits of thin provisioning, storage tiering, and volume pooling, your database workloads get better performance at lower cost without changes to existing AWS infrastructure.

👉 Get started with simplyblock: https://www.simplyblock.io/buy-now

🏪 simplyblock AWS Marketplace: https://aws.amazon.com/marketplace/seller-profile?id=seller-fzdtuccq3edzm

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Timeplus: Streaming Analytics for Realtime Data | Jove Zhong

Timeplus: Streaming Analytics for Realtime Data | Jove Zhong

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