Dynatrace

AUGUST 20, 2020

Dynatrace news. “Sometimes you just have to do hard things, to prove you can.” That’s a quote from my favourite virtual cycling instructor on Peloton, Emma Lovewell. And she’s right. You don’t grow by sitting in your comfort zone. . Today, it’s with great sadness, that we have to announce Perform and the Go series as virtual events. Done. A decision we didn’t want to settle on is forced upon us.

Virtualization 222

Virtualization Performance Education 222

DZone

AUGUST 20, 2020

On any given day, we use rideshare apps to get from one place to another. We check public transportation apps to see when the next train is arriving at the station. We use streaming services to watch Frasier at the end of lo-ooo-ng work days. As part of engineering teams, we use application monitoring and cloud services (like CI and cloud infrastructure) to function, so that code changes seamlessly deploy into production.

Transportation 211

Transportation Infrastructure Monitoring Cloud 211

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Development is fast and straightforward using standard object-oriented techniques, and the test/debug cycle is kept short by making use of a mock environment running on the developer’s workstation.

Cloud 52

Cloud Development Analytics Azure 52

DZone

AUGUST 20, 2020

The widespread use of containers in DevOps allows dev teams to increase their efficiency in application development and enables them to bypass the barrier of different computing environments for their apps. However, to avoid creating blind spots and hidden performance issues in their software, developers need a way to monitor those containers. Container monitoring allows you to track all of the metrics and states of your containers.

Monitoring 204

Monitoring DevOps Efficiency Metrics 204

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Development is fast and straightforward using standard object-oriented techniques, and the test/debug cycle is kept short by making use of a mock environment running on the developer’s workstation.

Cloud 52

Cloud Development Analytics Azure 52

n0derunner

AUGUST 20, 2020

I have VMs running on bare-metal instances. Each bare-metal instance is in a separate rack by design (for fault tolerance). The bandwidth is 25GbE however, the response time between the hosts is so high that I need multiple streams to consume that bandwidth. Compared to my local on-prem lab I need many more streams to. The post Cross rack network latency in AWS appeared first on n0derunner.

Latency 40

Latency Network AWS Design 40