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Announcing Complete Azure Observability for Kentik Cloud

Kentik

Kentik customers move workloads to (and from) multiple clouds, integrate existing hybrid applications with new cloud services, migrate to Virtual WAN to secure private network traffic, and make on-premises data and applications redundant to multiple clouds – or cloud data and applications redundant to the data center.

Azure 105
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The Network Also Needs to be Observable, Part 2: Network Telemetry Sources

Kentik

Most of the history of network operations has been supported by monitoring tools, mostly standalone, closed systems, seeing one or a couple of network element and telemetry types, and generally on-prem and one- or few-node, without modern, open-data architectures. Application layer : ADCs, load balancers and service meshes.

Network 128
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Optimizing Network Stability and Reliability Through Data-Driven Strategies

Kentik

We believe a data-driven approach to network operations is the key to maintaining the mechanism that delivers applications from data centers, public clouds, and containerized architectures to actual human beings. Ultimately, we’re solving a network operations problem using a data-driven approach. More data!

Network 52
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Implementing a Cost-aware Cloud Networking Infrastructure

Kentik

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability.

Network 97
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Data Gravity in Cloud Networks: Achieving Escape Velocity

Kentik

In an ideal world, organizations can establish a single, citadel-like data center that accumulates data and hosts their applications and all associated services, all while enjoying a customer base that is also geographically close. San Diego was where all of our customer data was stored.

Network 59
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Network Capacity Planning 101: Requirements & Best Practices

Kentik

Understand and assess the limits of your load balancing equipment so your CPU/memory usage doesn’t get strained and impact latency or network downtime. For example, an enterprise, depending on its size, may need to understand WAN usage, ISP uplink capacity, east-west data center hotspots, and inter-data center adequacy.

Network 52
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Closing the Network Performance Monitoring Gap and Achieving Full Network Visibility

Kentik

To quote: “Today’s typical NPMD vendors have their solutions geared toward traditional data center and branch office architecture, with the centralized hosting of applications.”. It’s now possible to get rich performance metrics from your key application and infrastructure servers, even components like HAProxy and NGINX load balancers.

Network 40