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Kentik Detect for FinServ Networks: Real-World Use Cases

Kentik

In our last blog post, At The Turning Point: FinServ Data Networks , we discussed the challenges faced by financial services organizations when it comes to managing modern networks. Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. The Big Picture.

Network 40
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Learning From Your BGP Tables

Kentik

That’s why network engineers have long used the BGP routing table on routers or looking glasses to get an idea of how their Internet traffic is routed. An experienced network engineer can read a BGP table like Neo reads the code in the Matrix. NetFlow) coming from those devices.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

data engineering pipelines, machine learning models). throughout, utilization, network I/O, data written) but also composite metrics and alerts that help with issue resolution and environment management. Those metrics include not just specific variables and metrics collected by each service (e.g.,

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Kentik APIs Enable Multi-Solution Integration

Kentik

Even in networking, hard-core bastion of the command-line interface (CLI), APIs have become useful enough that commentators such as Chris Grundemann are blogging about whether the API is the new CLI for networking professionals. We realize, however, that Kentik Detect alone may not cover all network use cases.

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The Why and How of Interface Classification

Kentik

Classifying Network Interfaces Enhances Engineering and Business Insights. Given that Kentik was founded primarily by network engineers, it’s easy to think of our raison d’etre in terms of addressing the day-to-day challenges of network operations. A great example of this duality is a feature called.

Network 40
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Kentik APIs for Customer Portal Integration

Kentik

Kentik Detectâ„¢ is a powerful solution that ingests and stores large volumes of network data on a per device, per customer basis. The data is stored in the Kentik Data Engineâ„¢, a timeseries database that unifies flow records (NetFlow v5/9, IPFIX, sFlow) with BGP, Geo-IP, and SNMP.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

First of all, Microsoft has one of the most advanced security stacks in the tech industry, with its end-to-end data encryption and multi-layer protection against malicious actors and other cloud-related vulnerabilities. To avoid exposure to the public internet, you can use Azure services (Azure Private Link, Azure Virtual Network, etc.).