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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 225
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Explainer flow is event-triggered by an upstream flow, such Model A, B, C flows in the illustration. A hugely important detail that often goes overlooked is event-triggering : it allows a team to integrate their Metaflow flows to surrounding systems upstream (e.g. ETL workflows), as well as downstream (e.g.

Systems 226
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 204
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251
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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness. The fundamental idea behind Telltale is to detect anomalies on SLI metrics (for example, latency, error rates, etc).

Storage 288
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Designing Instagram

High Scalability

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. The entity C denotes the event where a user likes a post and entity D denotes the action when a user follows another user. Fetching User Feed. Optimization.

Design 334
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Taskbar Latency and Kernel Calls

Randon ASCII

The first signal is the input events. UIforETW contains an integrated input logger (anonymized enough so that I don’t accidentally steal passwords or personal information) so I could just drill down to the MouseUp events with a Button Type of 2, which represents the right mouse button. That is an average read of 68 bytes each time.

Latency 79