Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 1, 2021

Volume, velocity, variety, and complexity : It’s nearly impossible to get answers from the sheer amount of raw data collected from every component in ever-changing modern cloud environments, such as AWS , Azure , and Google Cloud Platform (GCP).

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

High Scalability

JULY 20, 2018

A typical example of modern "microservices-inspired" Java application would function along these lines: Netflix : We observed during experimentation that RAM random read latencies were rarely higher than 1 microsecond whereas typical SSD random read speeds are between 100–500 microseconds.

Internet 121

Internet Internet Scalability Automotive 121

cdemi

FEBRUARY 20, 2017

Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Performance - Serverless Functions that are used less frequently may suffer from warmup response latency, where the infrastructure needs some time to deploy the function. On Public Clouds: Microsoft: Azure Functions. Amazon: AWS Lambda.

Serverless 64

Serverless Architecture Lambda Azure 64

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

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. However, when the time comes for resources to be requested, there can be latency in the time it takes to for that code to start back up. The time it takes between an action and a response is latency.

Serverless 57

Serverless Monitoring Lambda Latency 57

Scalegrid

JANUARY 12, 2024

Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices. 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.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

NOVEMBER 12, 2019

Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. latency, startup, mocking, etc.) Integration/testing is harder” ranked as the third biggest worry, noted by 30% of respondents. changing the integration landscape—at least for now.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

The Symphonia

MAY 22, 2018

Fast forward to two years later and the article has had more than half a million visits, regularly appears in the top five Google search results for “Serverless”, and helped launched Symphonia ?—?my I also rewrote the section on Startup Latency since Cold Starts are one of the big “FUD” areas of Serverless. my company with John Chapin.

Serverless 40

Serverless Architecture Lambda Azure 40