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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

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. Pallavi, what’s your journey to data engineering at Netflix?

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events. It lets us see events such as starts and traces in a standardized manner.”

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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

In this talk, Jason Reid discusses the pros and cons of both data warehouse bundling and unbundling in terms of performance, governance, and flexibility, and he examines how the trend of data warehouse unbundling will impact the data engineering landscape in the next 5 years. Until next time!

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Designing Instagram

High Scalability

FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points. The entity C denotes the event where a user likes a post and entity D denotes the action when a user follows another user.

Design 334
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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 200
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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. To gain insight into these problems, software engineers typically deploy application instrumentation frameworks that provide insight into applications and code. AWS Lambda.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Monitoring-as-code can also be configured in GitOps fashion.