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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 210
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Improving Core Web Vitals, A Smashing Magazine Case Study

Smashing Magazine

The image was served from a separate assets domain (often bad for performance), but it wasn’t going to be possible to change that in the short term, and Smashing Magazine had already added a preconnect resource hint to speed that up as best they could. One thing I wanted to look at was the global distribution of the traffic.

Google 143
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The Need for Real-Time Device Tracking

ScaleOut Software

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78
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Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. More than 400 companies rely on Stream for their production feed infrastructure, this includes apps with 30 million users. Advertise your job here!

Java 116
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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 186
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Fostering a Web Performance Culture

Jos

At the same time, they open a door to lots of concepts that might be overwhelming: PRPL, RAIL, Paint Timing API, TTI, HTTP/2, Speed Index, Priority Hints and more … Why Performance doesn’t get Prioritized Web performance at organizations is a real challenge. Ideally, shoot for 30% speed improvements. A screenshot of Lighthouse 3.0,