Thu.May 02, 2024

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

Dynatrace

AI is top of mind for security teams across every industry. As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. According to McKinsey’s State of AI in 2023 report, 40% of respondents said their organizations plan to increase their overall AI investment because of advancements in generative AI.

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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 81
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Privacy Spotlight: Easily comply with data subject rights in Dynatrace

Dynatrace

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Rising consumer expectations for transparency and control over their data, combined with increasing data volumes, contribute to the importance of swift and efficient management of privacy rights requests. “By 2026, fines due to mismanagement of subject rights will have increased tenfold from 2022 to total over $1 billion.” [1] –Gartner

Tuning 238
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DragonCrawl: Generative AI for High-Quality Mobile Testing

Uber Engineering

Learn how Uber improved mobile testing reliability, and increased productivity for thousands of engineers, using machine learning to create DragonCrawl, a highly stable and low-maintenance testing system.

Mobile 76
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Website Stress Test Guide: Prepare for High Traffic

Abstracta

Learn how to perform a website stress test to boost performance under heavy traffic. Provide a smooth user experience with Abstracta’s support. The post Website Stress Test Guide: Prepare for High Traffic appeared first on Blog about Software Development, Testing, and AI | Abstracta.

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Building Scalable, Real-Time Chat to Improve Customer Experience

Uber Engineering

Innovatively scaling its chat channel, Uber’s Customer Obsession Team enhanced global support by transitioning 36% of contact volume to chat, leveraging a new architecture that slashed error rates from 46% to 0.45%, showcasing a significant leap in efficiency and customer satisfaction.

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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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Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale

Uber Engineering

With the introduction of Model Excellence Scores at Uber, we’re setting a new standard for measuring, monitoring, and maintaining ML model quality–read how this innovative approach aims to enhance ML governance and provide clearer insights.

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Uber: GC Tuning for Improved Presto Reliability

Uber Engineering

Want to improve the reliability of your Presto cluster with just a few lines of code? Come read how we reduced errors by 90% through improving garbage collection.

Tuning 54
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Scaling AI/ML Infrastructure at Uber

Uber Engineering

Accelerating Tomorrow: How Uber Turbocharges AI/ML Frontiers.

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uVitals – An Anomaly Detection & Alerting System

Uber Engineering

In today’s fast-paced digital world, preventing downtime and disruptions is crucial. Learn how uVitals is helping to reduce the time to detect anomalies from days to hours, improving the signal-to-noise ratio by up to 95% at Uber scale.

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Stopping Uber Fraudsters Through Risk Challenges

Uber Engineering

Want to effectively mitigate fraud without compromising your user experience? Learn how we secured the Uber app with risk challenges, like penny drop verification—just one of many employed to verify Uber users making credit or debit card payments.

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Network IDS Ruleset Management with Aristotle v2

Uber Engineering

Overwhelmed with network security events? Learn how Uber’s Cyber Defense team programmatically manages network IDS rulesets, augments alerts for correlation, and open-sourced the code they use to do it.

Network 40
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Jupiter: Config Driven Adtech Batch Ingestion Platform

Uber Engineering

Learn how Uber unifies its marketplace and brand, and reliably optimizes marketing strategy expenditures with Jupiter: Uber’s Performance Marketing Ingestion Platform.

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Ensuring Precision and Integrity: A Deep Dive into Uber’s Accounting Data Testing Strategies

Uber Engineering

Get behind-the-scenes access to Uber’s financial finesse. Explore Uber’s commitment to flawless financials with data-driven excellence.

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Load Balancing: Handling Heterogeneous Hardware

Uber Engineering

Learn about how Uber changed it’s RPC load balancing within Service Mesh to mitigate hardware heterogeneity.