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In this post, we explore a practical solution that uses Streamlit , a Python library for building interactive data applications, and AWS services like Amazon Elastic Container Service (Amazon ECS), Amazon Cognito , and the AWS Cloud Development Kit (AWS CDK) to create a user-friendly generative AI application with authentication and deployment.
The workflow includes the following steps: The user accesses the chatbot application, which is hosted behind an Application LoadBalancer. For instructions, refer to How do I integrate IAM Identity Center with an Amazon Cognito user pool and the associated demo video. The following diagram illustrates the solution architecture.
Although we previously demonstrated a usage scenario that involves a direct chat with the Amazon Bedrock application, you can also invoke the application from within a Google chat space, as illustrated in the following demo. You can also fine-tune your choice of Amazon Bedrock model to balance accuracy and speed.
In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable loadbalancing that evolves with your changing demands. Request a demo today! Access to a Diverse Range of Tools. What Are the Advantages of Google Cloud? TB of RAM and 128 vCPUs at US$3.97/hour
Your switches, servers, transits, gateways, loadbalancers, and more are all capturing critical information about their resource utilization and traffic characteristics. Although the full utility of AI and ML in NetOps is emerging, having access to a unified data platform gives these technologies richer datasets.
Hadoop Quick Start — Hadoop has become a staple technology in the bigdata industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. BigData Essentials — BigData Essentials is a comprehensive introduction to the world of bigdata.
Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform bigdata operations like artificial intelligence, machine learning, and observability.
We’ve enhanced the Kentik Detect bigdata analytics SaaS, which has always taken a broad range of data, from sFlow, NetFlow, and IPFIX, to BGP, SNMP, and geolocation. Come by and visit, get a demo of our new wares. Want to learn more about the industry’s only purpose-built BigData SaaS for network analysis?
a sequence of related packets) as they traverse routers, switches, loadbalancers, ADCs, network visibility switches, and other devices. Contemporary bigdata network monitoring platforms, such as Kentik Detect® , are well suited to cope with network monitoring challenges.
Kentik offers a cloud-friendly NPM solution that includes the mature and proven nProbe NPM agent from ntop that can be installed on application and loadbalancing servers. The agents send this data, plus traffic flow statistics to our cloud-based, bigdata platform Kentik Detect. Why is this cloud friendly?
Given the advanced capabilities provided by cloud and bigdata technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. ISPs can gain similar advantages by becoming far more data driven.
Understand and assess the limits of your loadbalancing equipment so your CPU/memory usage doesn’t get strained and impact latency or network downtime. However, gathering data on networks can be an overwhelming task and a network performance monitoring tool is necessary to keep track of all the factors that impact your network.
Flow data is commonly associated with routers and switches, but devices such as loadbalancers, ADCs, network visibility switches, and security devices can also export flow data. Contact us and we’ll be happy to walk you through a demo. Flow Exporting Devices. Ready to learn more?
Drawing on our bigdata scale and our learning algorithms for baselining, we’ve now proven in the field that we can catch significantly more attacks than traditional approaches. As an industry we experienced unprecedented DDoS attacks on OVH, Krebs, and Dyn that were driven by IoT botnets.
I recently had an interesting conversation with an industry analyst about how Kentik customers use our bigdata network visibility solution for more accurate DDoS detection, automated hybrid mitigation, and deep ad-hoc analytics. You can also contact us at info@kentik.com to arrange a demo, or dive right in by starting a free trial.
While that’s a key aspect of our mission, our unique bigdata platform for capturing, unifying, and analyzing network data actually supports a broader scope. You can also familiarize yourself with Kentik Detect in general, and Interface Classification in particular, by scheduling a demo or signing up for a free trial today.
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