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

Kentik

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. For example, some DevOps teams feel that AWS is more ideal for infrastructure services such as DNS services and load balancing. Hybrid Cloud Benefits.

Cloud 124
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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. DDI management (DNS, DHCP, and IP addressing), network monitoring configuration, and routing are also very frequently automated.

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Kentik for Grafana

Kentik

Customers use our inbound APIs to send us various types of data, including threat feeds, DNS data, scoring data, or even physical topology data. Automatic DNS resolution option for IP addresses in Grafana. The new enhancements include: Autocompletion of metrics and filters in queries. Adding webpack for a newer framework.

DNS 16
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Data Gravity in Cloud Networks: Distributed Gravity and Network Observability

Kentik

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. Unexpected traffic patterns For the first case study, I want to discuss an international DevOps team using a 50-node Kubernetes cluster.

Network 99
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MySQL High Availability Framework Explained – Part III: Failover Scenarios

High Scalability

After slave promotion, the Resource Agent triggers a DNS rerouting module. The module updates the proxy DNS entry with the IP address of the new master, thus, facilitating all application writes to be redirected to the new master. Pacemaker also sets up the available slaves to start replicating from this new master.

DNS 59
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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

PerfOps is a data platform that digests real-time performance data for CDN and DNS providers as measured by real users worldwide. Stream is currently also hiring Devops and Python/Go developers in Amsterdam. The collected audit records include user account, target file, the user’s IP address and more.

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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

PerfOps is a data platform that digests real-time performance data for CDN and DNS providers as measured by real users worldwide. Stream is currently also hiring Devops and Python/Go developers in Amsterdam. The collected audit records include user account, target file, the user’s IP address and more.