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

The Netflix TechBlog

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This approach has a handful of benefits.

Traffic 339
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How to Assess MySQL Performance

HammerDB

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. We will not concern ourselves with the raw throughput of workload.

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Efficient SLO event integration powers successful AIOps

Dynatrace

For a more proactive approach and to gain further visibility, other SLOs focusing on performance can be implemented. However, it’s essential to exercise caution: Limit the quantity of SLOs while ensuring they are well-defined and aligned with business and functional objectives. In other words, where the application code resides.

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AIOps observability adoption ascends in healthcare

Dynatrace

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. That includes failures in parts of a system that occur at similar times and have a common root cause.

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Enhanced root cause analysis using events

Dynatrace

Who performed it? The build system sends an automated notification to Dynatrace just before initiating a deployment on this VM. The build system adds valuable information, such as: The approver of this deployment and their contact details. Create a new VM for this exercise and install a Dynatrace OneAgent.

DevOps 183
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An analysis of performance evolution of Linux’s core operations

The Morning Paper

An analysis of performance evolution of Linux’s core operations Ren et al., For example: “Red Hat and Suse normally required 6-18 months to optimise the performance an an upstream Linux kernel before it can be released as an enterprise distribution”, and. Google’s data center kernel is carefully performance tuned for their workloads.

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Interpreting A/B test results: false negatives and power

The Netflix TechBlog

We then used simple thought exercises based on flipping coins to build intuition around false positives and related concepts such as statistical significance, p-values, and confidence intervals. In this post, we’ll do the same for false negatives and the related concept of statistical power.

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