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

Kentik

In part 1 of this series , I talked about the importance of network observability as our customers define it — using advances in data platforms and machine learning to supply answers to critical questions and enable teams to take critical action to keep application traffic flowing. API gateways for digital services.

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Hybrid vs. Multi-cloud: The Good, the Bad and the Network Observability Needed

Kentik

Some of the biggest benefits when adopting a hybrid-cloud configuration are: Applications in the cloud often have greater redundancy and elasticity. This allows DevOps teams to configure the application to increase or decrease the amount of system capacity, like CPU, storage, memory and input/output bandwidth, all on-demand.

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The Network Also Needs to be Observable

Kentik

As we end 2020, networking infrastructure has become even more critical to connect people, applications, and the economy and distributed workforce that make the world go. The last five years have seen a major move to observability from the systems and application side. The Network is the Key.

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Network Engineering and Operations in the Multi-Cloud Era

Kentik

From our perspective, that’s because today’s cloud environments are becoming more dynamic, with unpredictable DevOps deployments adding huge variability to load. Application and server performance in the cloud. However, it’s also worth noting that network complexity and lack of visibility are top challenges for enteprise NetOps teams.

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Network observability: Hype or reality?

Kentik

The concept of observability has taken hold in the DevOps, SRE and application performance monitoring (APM) space. Port numbers and IP addresses are less useful in traffic analytics. Cloud-native applications are fundamentally different, and cloud computing creates new and unexpected challenges for networking.

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Kentik for Grafana

Kentik

Many, if not most, DevOps teams and others working across multiple tools use Grafana as the primary way they do reporting and analysis of data for operational use cases spanning many monitoring systems. Automatic DNS resolution option for IP addresses in Grafana. New installation documentation found here.

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Data Gravity in Cloud Networks: Distributed Gravity and Network Observability

Kentik

Instrumenting business, application, and operational context to network telemetry give operators multifaceted views of traffic and behavior. Often this is the first tier of “enriching the data,” where correlations between network details like IP addresses, DNS names, application stack tags, and deployment versions can be made.

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