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1. Streamlining Membership Data Engineering at Netflix with Psyberg

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. What is late-arriving data? Let’s dive in!

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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Ensuring observability across these environments requires access to data at a massive scale.

Analytics 230
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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

OpenTelemetry signals are often analyzed in data silos with missing context and relationships between the data and underlying topology. This leads to significant time wasted in connecting data with application workloads by manually applying labels, or by building crosslinks between the dashboards of incompatible tools.

Analytics 280
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 214
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Showcasing engineering excellence at Dynatrace

Dynatrace

Whilst our traditional Dynatrace website predominantly showcases Dynatrace content and product information for visitors, the idea behind the creation of our new Engineering website – engineering.dynatrace.com – was to set up a space to feature the results of our research and innovation efforts and aims to be a site made by engineers for engineers.