Building a Data Plane with K8ssandra, Apache Cassandra on Kubernetes
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K8ssandra has made it effortless to deploy Apache Cassandra on Kubernetes. Long a simple means of deploying stateless applications, modern tooling and APIs has facilitated the move of databases to this pervasive platform. Join Chris Bradford in deploying the K8ssandra stack to Kubernetes. Learn how it packages a production Cassandra deployment with supporting tooling alongside Stargate, a next generation data gateway. We will explore everything from the management interfaces leveraged by DevOps teams to performant, highly available, REST, Graph, and Document APIs for developers.
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Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
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2. Which barriers stand in the way of AI adoption.
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- 1. 1 Building a Data Plane with K8ssandra, Apache Cassandra on Kubernetes Chris Bradford - @bradfordcp
- 2. 2 ● Distributed ● Highly Available ● Multi-Region ● Peer to Peer
- 3. 3 ● REST ● GraphQL ● Document ● Native
- 4. Backups 4 ● Powered by Medusa ● CassandraBackup and CassandraRestore CRDs
- 5. Repair 5 ● Powered by Reaper ● Out of band anti-entropy ● Syncs data replicas in a rolling fashion
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- 7. Operators 7 ● cass-operator ● medusa-operator ● reaper-operator ● prometheus-operator
- 8. Installation 8 helm repo add k8ssandra https://helm.k8ssandra.io/ helm repo update helm install demo k8ssandra/k8ssandra
- 9. Demo 9
- 10. 10 Questions?
- 11. Thank You! Visit us at k8ssandra.io and github.com/k8ssandra/k8ssandra