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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 214
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. This approach has a handful of benefits.

Traffic 339
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Service level objectives: 5 SLOs to get started

Dynatrace

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Latency 171
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Traffic 173
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Using SLOs to become the optimization athlete with Dynatrace

Dynatrace

You’ll learn how to create production SLOs, to continuously improve the performance of services, and I’ll guide you on how to become a champion of your sport by: Creating calculated metrics with the help of multidimensional analysis. Metric 2: number of requests in error. Let’s start by creating a dashboard to follow our metrics.

Metrics 161
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How to Assess MySQL Performance

HammerDB

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. 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. Operating System: Ubuntu 22.04

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Why the Optimizer Doesn't Use Buffer Pool Knowledge

SQL Performance

Whether the page is dirty or not (a dirty page has changes on it that haven’t yet been written back to durable storage). If you’re interested, I wrote a post a while back with some T-SQL code that scans the buffer pool and gives some metrics, using the DMV sys.dm_os_buffer_descriptors. Why Using Buffer Pool Contents Would Be Dangerous.