Analytics Design Java Scalability 
The Netflix TechBlog
JANUARY 25, 2023
Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. Unlike Java, we support multiple inheritance as well.
Dynatrace
NOVEMBER 3, 2023
that offers security, scalability, and simplicity of use. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Scalability and failover Extensions 2.0
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ScaleOut Software
JULY 14, 2021
Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.
ScaleOut Software
JULY 21, 2020
ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data.
ScaleOut Software
JULY 21, 2020
ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data.
The Netflix TechBlog
MARCH 10, 2023
Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns).
Dynatrace
OCTOBER 8, 2020
Although the adoption of serverless functions brings many benefits, including scalability, quick deployments, and updates, it also introduces visibility and monitoring challenges to CloudOps and DevOps. From here you can use Dynatrace analytics capabilities to understand the response time, or failures, or jump to individual PurePaths.
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