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Dynatrace adds support for VPC Flow Logs to Kinesis Data Firehose

Dynatrace

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.

Traffic 204
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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. Check out our Power Demo: Log Analytics with Dynatrace. Dynatrace news.

AWS 207
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Monitoring Distributed Systems

Dotcom-Montior

These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network. For example, you can think of a cell phone network as a type of distributed system, consisting of a network of internet-connected devices that share resources workload. Peer-to-Peer.

Systems 74
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Serverless at re:Invent 2017

The Symphonia

Correspondingly, 3GB functions should see a 2x CPU performance improvement over 1.5GB Lambdas, but this is through doubling the number of cores the function has access to, rather than double the virtualized time-slices. Traffic shaping / canary deployment was pre-announced at Serverless Conf NYC in October, and this is now available.

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Solaris to Linux Migration 2017

Brendan Gregg

I've suggested adding a command to docker to make listing at least the top-level PIDs in containers easier. ## Virtual Machines The two main technologies on Linux are Xen and KVM (and there's Bhyve for BSD). What happens if processes really do try to populate all that virtual memory?

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Front-End Performance Checklist 2021

Smashing Magazine

CrUX generates an overview of performance distributions over time, with traffic collected from Google Chrome users. But account for the different types and usage behaviors of your customers (which Tobias Baldauf called cadence and cohorts ), along with bot traffic and seasonality effects. You can create your own on Chrome UX Dashboard.