Simform

DECEMBER 16, 2020

Read this blog to understand and analyze the comparison between AWS Lambda vs Azure Functions vs Google Cloud Functions. Get to know their current version and compare performance, security, pricing, and scalability. Wondering which serverless provider is right for you?

Lambda 111

Lambda Serverless Azure Google 111

Dynatrace

MARCH 14, 2023

Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. This is done by detecting availability and performance problems in real time across an entire technology stack while presenting teams with answers — not alert storms.

AWS 281

AWS Lambda Serverless Virtualization 281

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 192

Energy Artificial Intelligence AWS Lambda 192

All Things Distributed

NOVEMBER 13, 2014

Our answer is a new compute service called AWS Lambda. AWS Lambda makes building and delivering applications much easier by giving you a simple interface to upload your Node.js You can go from code to service in three clicks and then let AWS Lambda take care of the rest.

Lambda 136

Lambda AWS Cloud Scalability 136

Dynatrace

NOVEMBER 22, 2021

AWS Lambda. Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. Amazon CloudWatch.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

High Scalability

OCTOBER 19, 2018

Gbit/s : t3.2xlarge Network Performance; 60% : chances DNA can be used to find your family; 12 : Happy birthday Hacker News! Gbit/s : t3.2xlarge Network Performance; 60% : chances DNA can be used to find your family; 12 : Happy birthday Hacker News!; 2080 Ti destroys V100 / Titan V on performance per dollar. Full blog post here.

Internet 123

Internet Internet Scalability Lambda 123

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. How does function as a service affect scalability? What is FaaS? Limit library use.

Development 250

Development Serverless Best Practices Lambda 250

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Dynatrace news. Focused on delivering business value. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Dynatrace news. Focused on delivering business value. Microservices benefits.

Architecture 244

Architecture Software Software Development 244

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Serverless benefits include the following: Dynamic scalability.

Serverless 165

Serverless Infrastructure Lambda Latency 165

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Scalability is a major feature of GCF. What is Google Cloud Functions? GCF use cases.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Dynatrace news.

Architecture 200

Architecture Serverless Azure Programming 200

The Morning Paper

FEBRUARY 6, 2020

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. High level architecture. Evaluation.

Serverless 98

Serverless Lambda Cache Latency 98

Dynatrace

APRIL 8, 2020

— Excerpt from How Garbage Collection works in the Dynatrace Performance eBook) . However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Somewhere within the lambda call, the code allocated about 80 GB and 1.27 So what’s going on here?

Speed 165

Speed Code Java Lambda 165

All Things Distributed

DECEMBER 8, 2016

Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Access to secure, scalable, low-cost AWS infrastructure in Canada allows customers to innovate and provide tools to meet privacy, sovereignty, and compliance requirements. Performance.

AWS 155

AWS Cloud Lambda Innovation 155

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Scalability. For workloads that require high performance, organizations would be better suited by purchasing their own servers. Response Times. Monitoring. You can’t just set it and forget it.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

SEPTEMBER 17, 2019

With the existing notification integrations for tools such as Slack, xMatters, ServiceNow, Lambda, JIRA, you can also pro-actively notify people in case there’s a problem: Dynatrace auto detected a problem with 3 kube proxies. 2: Automate Quality aka “Performance as a Self-Service”. 4 AWS EFS monitoring. 3 Log Analytics.

AWS 127

AWS Monitoring Ecommerce Lambda 127

The Morning Paper

AUGUST 29, 2019

Which I’m quite happy to see as my most recent data pipeline is based around Lambda, S3, and Athena, and it’s been working great for my use case. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Query performance. Query performance is measured from both warm and cold caches.

Architecture 76

Architecture Cloud Storage Serverless 76

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

The Morning Paper

JUNE 23, 2019

After all, we’ve been doing that forever with the 2nd-level cache of ORMs , and it is highly encouraged in e.g. the AWS Lambda programming model — which was born on the cloud— to help mitigate function start-up times. I say go ahead and use local state as a performance boost, so long as you’re fine to have that state wiped out at any moment.

Cache 79

Cache Latency Google Lambda 79

Enprowess

JANUARY 12, 2022

Supports multitasking : voice search technology can simultaneously perform multiple tasks from navigation to setting up meetings and reminders. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Serverless Computing – AWS Lambda – Amazon Web Services.

Blockchain 59

Blockchain IoT Development Serverless 59

High Scalability

SEPTEMBER 7, 2018

sapessi : Lambda simplifies concurrency at the frontend, enforcing one event per function at a time. Of course, in some cases the difference to performance is small enough that one can live with it, but it’s often bad enough to be a problem. This makes it easy to reason about complex distributed system. Just a few more quotes.

Internet 137

Internet Internet Scalability Lambda 137

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started Different providers have different plugins and configurations.

Open Source 52

Open Source DevOps AWS Azure 52

Highly Scalable

AUGUST 20, 2013

High performance and mobility. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size. Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Let me expand on each one of them. DynamoDB Streams. Amazon Redshift) and Elasticsearch machines.

Database 167

Database Lambda AWS IoT 167

IO River

NOVEMBER 2, 2023

To scale from 5 to 10 machines, you simply adjust the default value of this variable from 5 to 10 and rerun the Terraform apply command.‍Beyond just VM instances, this scalability extends to other aspects of your infrastructure. It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion.

Open Source 40

Open Source DevOps AWS Azure 40

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Amazon’s enhancements address many day-to-day challenges with running Redis.

Scalability 130

Scalability Analytics Cache AWS 130

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

All Things Distributed

DECEMBER 13, 2016

Real-time monitoring and evaluation of events have led to a positive impact on performance or operations. Fraud.net use AWS to support highly scalable, big data applications that run machine learning processes for real-time analytics. Channel 4 (in the UK) chose AWS to help monetize volumes of platform data.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions. Customers also use a variety of different tools, including Amazon EMR for Hadoop, Amazon Machine Learning, AWS Data Pipeline, and AWS Lambda to process and analyze their data. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

Abhishek Tiwari

NOVEMBER 3, 2018

I am yet to find a traditional CMS vendor who can deliver this level of performance on the scale (millions of page views per day). Using JAMstack delivers better performance, higher scalability with less cost, and overall a better developer experience as well as user experience.

Systems 63

Systems Cache Website Network 63