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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. There is also a wide network of Oracle partners available to help you negotiate a discount , typically ranging from 15%-30%, though larger discounts of up to 40%-60% are available for larger accounts. Scalability.

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Building In-Video Search

The Netflix TechBlog

In order to train the model on internal training data (video clips with aligned text descriptions), we implemented a scalable version on Ray Train and switched to a more performant video decoding library. The embedding computation is based on a large neural network model and has to be run on GPUs for optimal throughput.

Media 225
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. But often, we use additional services and solutions within our environment for backups, storage, networking, and more.

Metrics 169
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Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

Many AWS services and third party solutions use AWS S3 for log storage. Centralized log management for scalable ingestion into Grail As AWS S3 proves to be the preferred way of storing cloud logs, enterprise customers face mounting challenges in putting S3 log data to use. Or explore the recently introduced support for AWS Lambda logs.

AWS 187
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How to Assess MySQL Performance

HammerDB

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. For storage, FIO is generally used. TB)) for storage of database tablespaces and logging. 4.22 %usr 38.40