DZone

FEBRUARY 25, 2023

Hence, here we are to help you with the steps to deploy a Nodejs app to AWS. Tool Stack To Deploy a Nodejs App to AWS Nodejs sample app : A sample Nodejs app with three APIs viz, status, insert, and list. Tool Stack To Deploy a Nodejs App to AWS Nodejs sample app : A sample Nodejs app with three APIs viz, status, insert, and list.

AWS 274

AWS Servers Internet Internet 274

Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. A new Telemetry API as an extension to AWS Lambda for all telemetry signals.

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Lambda Serverless AWS Latency 237

Dynatrace

NOVEMBER 29, 2021

Dynatrace is proud to partner with AWS to support AWS Lambda functions powered by x86-based processors and Graviton2 Arm-based processors announced earlier this year. According to the official AWS announcement, Graviton2-based Lambda functions offer up to 34% better price-performance improvement. Dynatrace service view.

Lambda 219

Lambda AWS Serverless Metrics 219

InfoQ

MARCH 15, 2024

Hashnode created a scalable event-driven architecture (EDA) for composing feed data for thousands of users. The company used serverless services on AWS, including Lambda, Step Functions, EventBridge, and Redis Cache. The solution leverages Step Functions' distributed maps feature that enables high-concurrency processing.

Scalability 71

Scalability AWS Architecture Lambda 71

Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Many AWS services and third party solutions use AWS S3 for log storage. Another painful blocker is the need for more support for multiple S3 accounts and AWS regions.

AWS 204

AWS Cloud Lambda Analytics 204

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. This enhancement allows AWS users to stream response payloads back to clients. To learn more about the AWS Lambda features, visit the Lamba features page.

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Lambda AWS Serverless Latency 221

Dynatrace

NOVEMBER 22, 2021

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

NOVEMBER 11, 2021

Given the importance of this conversation for various organizations, IT modernization is the focus of AWS re:Invent 2021. Data confirms Aggarwal’s conclusions. AWS re:Invent 2021: Modernizing for cloud-native environments. The research estimated a 35% increase in public cloud usage in 2021 alone.

AWS 218

AWS Cloud Lambda Azure 218

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem? Dynatrace news.

Lambda 184

Lambda AWS Serverless Hardware 184

Dynatrace

APRIL 6, 2022

We’re excited to announce that Dynatrace has been recognized as a launch partner for the newly introduced Amazon Web Services (AWS) offering AWS Lambda Function URLs. What is AWS Lambda? AWS Lambda is one of the most popular serverless compute services in the market. What are AWS Lambda Function URLs.

Lambda 170

Lambda AWS Serverless Infrastructure 170

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse?

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Easy to leverage API interfaces connect services with core functionality, allowing applications to communicate and share data. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Easy to leverage API interfaces connect services with core functionality, allowing applications to communicate and share data. Microservices benefits.

Architecture 245

Architecture Software Software Development 245

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 206

Architecture Serverless Azure Programming 206

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. unique capabilities of the enhanced AWS Lambda extension include: An end-to-end distributed tracing view with full visibility?across Dynatrace news. AI-powered answers, provided by?

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Lambda Serverless AWS Mobile 214

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” Fact #1: AWS EC2 outage properly documented. Fact #1: AWS EC2 outage properly documented. Ready to learn more? Then read on!

AWS 195

AWS Traffic Architecture Azure 195

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

APRIL 6, 2022

We’re excited to announce that Dynatrace has been recognized as a launch partner for the newly introduced Amazon Web Services (AWS) offering AWS Lambda Function URLs. What is AWS Lambda? AWS Lambda is one of the most popular serverless compute services in the market. What are AWS Lambda Function URLs.

Lambda 130

Lambda AWS Serverless Infrastructure 130

InfoQ

JUNE 16, 2023

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. By Rafal Gancarz

Architecture 55

Architecture Scalability Latency Traffic 55

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. Fully conceptualizing capacity requirements.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

JUNE 20, 2023

Modern IT organizations are generating more data from more tools and technologies than ever. Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. However, they had numerous custom applications with separate APIs.

Open Source 199

Open Source Google Serverless Azure 199

Dynatrace

APRIL 8, 2021

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. Enterprise-grade observability and root-cause detection for AWS Lambda functions.

Lambda 226

Lambda AWS Serverless Monitoring 226

Dynatrace

FEBRUARY 25, 2021

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. This extension was built from scratch to take into account all we’ve learned and the special requirements for monitoring ephemeral, auto-scaling, micro VMs like AWS Lambda. Dynatrace news.

Lambda 224

Lambda AWS Monitoring Serverless 224

All Things Distributed

JUNE 10, 2016

Building your applications with only managed components has become very popular, and AWS Lambda plays a crucial role in that. If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

Building your applications with only managed components has become very popular, and AWS Lambda plays a crucial role in that. If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 105

Lambda Serverless AWS Architecture 105

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS 52

AWS Energy IoT Best Practices 52

The Netflix TechBlog

DECEMBER 3, 2019

Netflix applies data science to hundreds of use cases across the company, including optimizing content delivery and video encoding. Data scientists at Netflix relish our culture that empowers them to work autonomously and use their judgment to solve problems independently. How could we improve the quality of life for data scientists?

Open Source 232

Open Source AWS Infrastructure Energy 232

Dynatrace

APRIL 8, 2021

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. Enterprise-grade observability and root-cause detection for AWS Lambda functions.

Lambda 188

Lambda AWS Serverless Monitoring 188

Dynatrace

APRIL 19, 2024

For many, the driving force behind custom solution development is today’s dynamic and rapidly evolving digital landscape, in which organizations find themselves in a race to automate repetitive tasks, drive data-backed decisions, and do more with less. Figure 3: Funnel analysis implemented by selecting a custom user journey.

AWS 226

AWS Analytics Cloud Monitoring 226

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy.

Latency 243

Latency Storage Big Data Tuning 243

DZone

SEPTEMBER 25, 2023

It is the second of a series of articles that is built on top of that project, representing experiments with various statistical and machine learning models, data pipelines implemented using existing DAG tools, and storage services, both cloud-based and alternative on-premises solutions.

Storage 258

Storage AWS Architecture Cloud 258

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192