Remove Analytics Remove Metrics Remove Open Source
article thumbnail

Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

article thumbnail

Cloud Efficiency at Netflix

The Netflix TechBlog

Our ecosystem enables engineering teams to run applications and services at scale, utilizing a mix of open-source and proprietary solutions. One crucial way in which we do this is through the democratization of highly curated data sources that sunshine usage and cost patterns across Netflixs services and teams.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Best Free and Paid MySQL Monitoring Tools [2025]

Scalegrid

Monitoring MySQL databases is essential for maintaining performance, detecting issues early, and ensuring efficient resource use by tracking critical metrics. These tools offer real-time analytics, advanced visualization, customizable alerts, and scalability. This ensures notifications about issues relevant to your environment.

article thumbnail

Unified observability: Why storing OpenTelemetry signals in one place matters

Dynatrace

That is, traces, logs, and metrics, which gave us the information to make our systems observable. For example, an organization might have App A send metrics to SaaS Tool X, and traces and logs to SaaS Tool Y. App B sends traces to SaaS Tool J, logs to SaaS Tool L, and metrics to self-hosted Tool M. Consider some examples.

article thumbnail

Distributed tracing with Dynatrace just got even better

Dynatrace

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.

article thumbnail

RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. RabbitMQ is an open-source message broker that supports multiple messaging protocols , including AMQP, STOMP, MQTT, and RabbitMQ Streams. What is RabbitMQ? What is Apache Kafka?

article thumbnail

Logs and traces: Why context is everything for seamless investigations

Dynatrace

” Don’t forget metrics and other telemetry signals Although we’re focusing here on logs and traces, metrics and other telemetry data are also essential for observability and deeper context. Explore Distributed Tracing and Log Management and Analytics , complete with prepopulated data in the Dynatrace Playground.