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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

While we understand it’s virtually impossible to achieve a linear increase in throughput as the number of vCPUs grow, a near-linear increase is attainable. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.” This was our starting point for troubleshooting.

Hardware 363
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Why you should benchmark your database using stored procedures

HammerDB

Also, note in passing that we include a COMMIT statement in this procedure because one is included in the example code in TPC-C specification. The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. On MySQL, we saw a 1.5X performance advantage.

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Monitoring Serverless Applications

Dotcom-Montior

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Benefits of a Serverless Model. Scalability.

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A thorough introduction to bpftrace

Brendan Gregg

It was created by Alastair Robertson, a talented UK-based developer who has previously won various coding competitions. For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. hardware Hardware counter-based instrumentation.

Latency 68
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Friends don't let friends build data pipelines

Abhishek Tiwari

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.