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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience.

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Designing Instagram

High Scalability

FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. After that, the post gets added to the feed of all the followers in the columnar data storage. System Components. Fetching User Feed. Streaming Data Model.

Design 334
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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

GKE Autopilot empowers organizations to invest in creating elegant digital experiences for their customers in lieu of expensive infrastructure management. Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting.

Google 218
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Causal AI use cases for modern observability that can transform any business

Dynatrace

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes. Government.

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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 235
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Three smart log ingestion strategies in Dynatrace (without OneAgent)

Dynatrace

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure. Log ingestion strategy no. What is Fluentd?

Strategy 179
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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Most infrastructure and applications generate logs. What is log management? Log management brings together log monitoring and log analysis.

Systems 184