Dynatrace

MARCH 14, 2023

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying operating system, infrastructure, and services. How does Dynatrace help?

AWS 270

AWS Lambda Serverless Virtualization 270

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. I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! Mobile Backend Serverless Reference Architecture.

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. I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! Mobile Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

OCTOBER 28, 2019

Application workloads that are based on serverless functions—especially AWS Lambda, Azure Functions, and Google Cloud Functions— are a key trend in cloud-first application development and operations. With a serverless approach, you can build and run applications and services without thinking about servers. Dynatrace news.

Serverless 102

Serverless Lambda Monitoring AWS 102

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Monitor your serverless applications with just two clicks.

Serverless 139

Serverless Azure Monitoring Lambda 139

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace. 01 for every 1,000 metrics.

Cloud 161

Cloud Lambda Serverless AWS 161

Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 138

Metrics Open Source Lambda Serverless 138

Dynatrace

AUGUST 11, 2022

FaaS enables developers to create and run a single function in the cloud using a serverless compute model. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. Increased availability.

Development 239

Development Serverless Best Practices Lambda 239

Dynatrace

NOVEMBER 17, 2020

Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes.

Analytics 151

Analytics Technology Technology Cloud 151

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Modern operating systems provide capabilities to observe and report various metrics about the applications running. The last aspect is the centralization of compute.

Cloud 216

Cloud Serverless Hardware Operating System 216

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 211

Google Cloud Serverless Azure 211

Dynatrace

JULY 7, 2022

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. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics.

Architecture 189

Architecture Serverless Azure Programming 189

The Symphonia

DECEMBER 6, 2017

It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the the industry and Lambda platform both have moved forward a long way since. This year’s re:Invent saw a lot of incremental improvements for Lambda and its related services. We saw some big new products and features from Lambda’s AWS neighbors.

Serverless 40

Serverless Lambda AWS Traffic 40

The Symphonia

MARCH 14, 2018

the Serverless Application Repository (SAR)?—?at The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Thanks to @ 3Nimbus / [link] What is the Serverless Application Repository? AWS announced a new service?—?the

Serverless 40

Serverless AWS Lambda Open Source 40

All Things Distributed

APRIL 9, 2015

Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available. Amazon EFS is designed to be highly available and durable, storing each file system object redundantly across multiple Availability Zones.

Lambda 122

Lambda Cloud IoT AWS 122

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