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 132

Java Best Practices Metrics Azure 132

Scalegrid

JANUARY 8, 2024

Infrastructure Excellence ScaleGrid’s infrastructure is designed to facilitate hosting in your cloud account and provides cost-saving options with AWS or Azure Reserved Instances or GCP. This results in faster response times and reduced network traffic, enhancing the overall efficiency and effectiveness of cloud services.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 158

Cloud Traffic Best Practices Strategy 158

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. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

Percona

MAY 2, 2023

Especially if going into or out of storage types that may throttle bandwidth/network traffic. It also supports storing the backups on filesystem and AWS S3 buckets. root@ip-172-31-37-92 ~]# aws ec2 describe-snapshots --query "sort_by(Snapshots, &StartTime)[-1].{SnapshotId:SnapshotId,StartTime:StartTime}" mongodb-27017.sock

Best Practices 52

Best Practices Database Storage Servers 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Sutter's Mill

JUNE 21, 2012

One of the slides I omitted to shorten this version of the talk highlighted that there are actually two issues when you go from “Disjoint (tightly coupled)” to “Disjoint (loosely coupled)”: reliability and latency , and both are important. (I Yes, the elastic cloud implementation has to deal with things like network failures and retries.

Latency 40

Latency Transportation Hardware Education 40