Remove Analysis Remove Latency Remove Operating System Remove Tuning
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130
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Faster time to value with enhanced handling of OneAgent runtime data

Dynatrace

Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Another consequence of the recent discontinuation of support for 32-bit operating systems is the new default location of OneAgent for Windows.

Storage 147
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

We’d like to get deeper insight into the host, the underlying operating system, and any third-party services used by our application. Among the usual details, like the top N errors and pages, we’ll find here the two main areas for performance analysis and user behavior.

Metrics 171
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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

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Software-defined far memory in warehouse scale computers

The Morning Paper

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory. ML-based auto-tuning. Evaluation.

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5 tips for architecting fast data applications

O'Reilly Software

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. Are there inherent time relationships in the messages that need to be preserved as they travel across the system? At least once? At most once? Exactly once?

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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

Uploading and downloading data always come with a penalty, namely latency. Figure 3: Video Processing with Index and Virtual Assembly Using virtual assembly greatly improves the latency performance of the ProRes 422 HQ proxy generation by removing one round trip of cloud downloading and cloud uploading by the physical assembler.

Cloud 237