Remove Hardware Remove Latency Remove Servers Remove Virtualization
article thumbnail

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.

article thumbnail

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

article thumbnail

What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130
article thumbnail

USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

article thumbnail

USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

article thumbnail

Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Memory disaggregation separates memory pools from traditional server boxes, enabling more flexible resource allocation and potentially reducing costs. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Using emulation (e.g.

Latency 52