Brendan Gregg

FEBRUARY 28, 2023

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. The call for participation ends on March 2nd 23:59 SGT! Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JULY 10, 2019

With insights from Dynatrace into network latency and utilization of your cloud resources, you can design your scaling mechanisms and save on costly CPU hours. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 140

Java Best Practices Metrics Azure 140

Scalegrid

JANUARY 12, 2024

The fundamental principles at play include evenly distributing the workload among servers for better application performance and redirecting client requests to nearby servers to reduce latency. Computer workload refers to the combination of computing power, memory, storage, and network resources required to complete a task or run a program.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Brendan Gregg

FEBRUARY 28, 2023

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. It was a great privilege. That's about 24 hours from now!

Performance 52

Performance Latency Cache Virtualization 52

O'Reilly

NOVEMBER 12, 2019

latency, startup, mocking, etc.) customers who already like and use Azure or Google Cloud Platform are likely to find the same advantages hold with Azure Functions and Google Cloud Functions. “Integration/testing is harder” ranked as the third biggest worry, noted by 30% of respondents. Custom tooling” ranked No.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Sutter's Mill

JUNE 21, 2012

I should have remembered that describing a PC as a “heterogeneous cluster in a box” is a big red button for people, in particular because “cluster” implies “parts can fail and program should continue.” As I answered there, I half agree – it’s true but it’s only half the story, and it doesn’t affect the programming model (see more below).

Latency 40

Latency Transportation Hardware Education 40

ScaleOut Software

JULY 19, 2021

With its combination of fast data storage, low-latency processing and ease of use, in-memory computing can fill the gap while complementing the benefits provided by historian databases and data lakes. The complex web of communicating devices that surrounds us needs intelligent, real-time device tracking to extract its full benefits.

IoT 78

IoT Analytics Big Data Architecture 78