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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

This data lands in its original, raw form without requiring schema definition. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Data lakehouses deliver the query response with minimal latency. Massively parallel processing.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Since then, the video pipeline has undergone substantial improvements and broad expansions: Starting with Standard Dynamic Range (SDR) at Standard-Definitions , we expanded the encoding pipeline to 4K and High Dynamic Range (HDR) which enabled support for our premium offering. divide the input video into small chunks 2.

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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Operational Reporting Pipeline Example Iceberg Sink Apache Iceberg is an open source table format for huge analytics datasets. tactical) in nature.

Big Data 253
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What is API monitoring?

Dynatrace

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. When choosing an API monitoring tool, keep in mind that not all have the same breadth of functionality or depth of analytic capabilities.

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What are SLOs? How service-level objectives work with SLIs to deliver on SLAs

Dynatrace

To get a better handle on this, let’s start with some definitions. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. What are SLAs, SLOs, SLIs, and error budgets? Promote automation.

Metrics 196
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Monitoring Distributed Systems

Dotcom-Montior

By definition, a distributed system is any system that comprises of multiple components on variety of machines that work together to appear as a single, organized system. Although the definition may seem straightforward, in the real-world, a distributed system is one of the most complex environments to understand, manage, and monitor.

Systems 74
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Open Observability – Part 1: Distributed tracing and observability

Dynatrace

Already in the 2000s, service-oriented architectures (SOA) became popular, and operations teams discovered the need to understand how transactions traverse through all tiers and how these tiers contributed to the execution time and latency. The overall fallacy in this assumption becomes obvious when you look at the definitions of the terms.