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How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache

Uber Engineering

Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.”

Cache 75
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Migrating a Trillion Entries of Uber’s Ledger Data from DynamoDB to LedgerStore

Uber Engineering

Migrating money data with peace of mind. Learn how Uber moved its Money related data spanning trillion of rows & petabytes in size flawlessly.

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Privacy Spotlight: Easily comply with data subject rights in Dynatrace

Dynatrace

“By 2026, fines due to mismanagement of subject rights will have increased tenfold from 2022 to total over $1 billion.” But today, something new awaits in their inbox: an urgent data-subject rights request from the privacy legal team. When creating an export request, an authorized user specifies the end user’s details.

Tuning 225
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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Direct link from AWS to Dynatrace Dynatrace delivers the missing piece for AWS cloud observability with native Firehose integration. The new Firehose integration removes intermediary components that previously required additional maintenance and provides a direct link from AWS to Grail data lakehouse.

Cloud 203
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. Download the Dynatrace collection from the Red Hat Ansible Automation Hub and follow the installation guide.

DevOps 174
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

At this year’s RSA conference, taking place in San Francisco from May 6-9, presenters will explore ideas such as redefining security in the age of AI. One data breach or zero-day attack can have lasting implications, from revenue loss to reputation harm. Attendees will seek answers to two crucial questions: ‘How secure are we?’

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To understand the risks posed by AI, follow the money

O'Reilly

By Rufus Rock , UCL ; Tim O’Reilly , UCL ; Ilan Strauss , UCL ; and Mariana Mazzucato , UCL This article is republished from The Conversation under a Creative Commons license. Focusing on the economic risks from AI is not simply about preventing “monopoly,” “self-preferencing,” or “Big Tech dominance.”