Remove Blog Remove IoT Remove Latency Remove Tuning
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

When an application is triggered, it can cause latency as the application starts. Connecting IoT devices (for example, AWS IoT Device Management ). This creates latency when they need to restart. Driving efficiency without sacrificing observability appeared first on Dynatrace blog.

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How digital experience monitoring helps deliver business observability

Dynatrace

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT.

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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. Dynatrace news. Amazon Elastic Container Service (ECS).

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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. Dynatrace news. Amazon Elastic Container Service (ECS).

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Towards a Reliable Device Management Platform

The Netflix TechBlog

In this blog post, we will focus on the latter feature set. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In particular, the Kafka integration is the most relevant for this blog post.

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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog. for a while already.

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