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

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic 347
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What’s on the horizon for People and Culture organizations in 2024?

Dynatrace

These are crucial exercises for maintaining a people-first organization powered by healthy and satisfied employees who are aligned with the organization’s vision, values, and overarching business objectives. Prediction for 2024 No.

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Using SLOs to become the optimization athlete with Dynatrace

Dynatrace

For example, an athlete must be in tune with their body to know when something isn’t operating right which could impact their future performance. In our exercise: Metric 1 (Number of requests with a response time > 1 second): requires the creation of a calculated metric with the right filter. Ability to define automatic baselining.

Metrics 242
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Efficient SLO event integration powers successful AIOps

Dynatrace

For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. Every problem identified through Dynatrace Davis® AI indicates an issue with potential user impact.

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DevSecOps: Recent experiences in field of Federal & Government

Dynatrace

PoCs are incredibly powerful as an exercise we do WITH our customers, rather than TO them. In the future you will see even more innovation from Dynatrace in this space so please stay tuned. It helps customers experience the ease of install and automation rather than seeing it on a PowerPoint slide.

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Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

The Netflix TechBlog

Where aws ends and the internet begins is an exercise left to the reader. After tuning our store for Pushy’s needs, it has been on autopilot since, appropriately scaling and serving our requests with very low latency. This delicate balance led to us doing a deep evaluation of many instance types and performance tuning options.

Latency 234
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An analysis of performance evolution of Linux’s core operations

The Morning Paper

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. It adds overhead to tests that exercise the kernel memory controller, even when cgroups aren’t being used.