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Critical app observability in government including ArcGIS

Dynatrace

Alerts that deliver actionable data, such as ranking issues and pinpointing the root cause, enable teams to prioritize their efforts on the issues with the most significant user impact and accelerate the resolution. With so much at risk during an emergency, ensuring performance apps don’t lag or crash when they’re most needed is vital.

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Exploring OpenTelemetry Capabilities

DZone

It is impossible to know with certainty what is happening inside a remote or distributed system, even if they are running on a local machine. Telemetry is precisely what provides all the information about the internal processes. This data can take the form of logs, metrics, and Disturbed Traces.

Metrics 130
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Reduce Your Cloud Costs With Percona Kubernetes Operators

Percona

We will not consider data transfer or backup costs in this article. Discount is great, but what about availability? Figure 1: Animated example showing the Kubernetes autoscaler terminating an unused EC2 instance Local storage Databases tend to consume storage, and usually, it grows over time. db.r5.4xlarge – $1.92/hour

Cloud 129
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Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

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Detecting Speech and Music in Audio Content

The Netflix TechBlog

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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Measure What You Impact, Not What You Influence

CSS Wizardry

However, in a sentence: Measure what you impact, not what you influence. What if another file on the critical path had dropped out of cache and needed fetching from the network? What if we incurred a DNS lookup this time that we hadn’t the previous time? Naturally, neither is great. Problems When Measuring Performance.