Dynatrace

MARCH 6, 2024

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted. Intelligent monitoring is also crucial.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 184

Azure Monitoring Virtualization Metrics 184

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

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 247

Development Serverless Best Practices Lambda 247

Smashing Magazine

DECEMBER 17, 2021

Billing Management For Your Next SaaS Idea Using Stripe And Azure Functions. Billing Management For Your Next SaaS Idea Using Stripe And Azure Functions. package to build an API layer comprising Azure Functions apps that can be executed by an HTTP trigger from a web, mobile, or desktop client. Creating Azure Functions.

Azure 95

Azure Serverless Code Testing 95

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 218

Google Cloud Serverless Azure 218

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. Serverless functions typically run on hyperscale clouds and so there’s no hardware to manage.

Cloud 223

Cloud Serverless Hardware Operating System 223

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 2: Instrument compute and serverless cloud technologies.

Cloud 166

Cloud Lambda Serverless AWS 166

The Symphonia

DECEMBER 6, 2017

the Functions-as-a-Service (FaaS) platform which is the core of AWS’ larger Serverless service suite. Traffic shaping / canary deployment was pre-announced at Serverless Conf NYC in October, and this is now available. there’s no inline debugging available in the Lambda Console.) Let’s dig in! got some updates.

Serverless 40

Serverless Lambda AWS Traffic 40

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP). Serverless Stagnant.

Cloud 141

Cloud Serverless AWS Architecture 141

ScaleOut Software

MAY 19, 2020

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events.

Logistics 52

Logistics IoT Analytics Azure 52

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. Metrics: These are the values represented as counts or measures that are often calculated or aggregated over a period of time.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Smashing Magazine

SEPTEMBER 3, 2019

This way, for instance, our application can be hosted on GitHub, be protected from DDoS through Cloudflare, have its static files hosted through DigitalOcean, use serverless functions from AWS Lambda, and authenticate users through Firebase, and everything is handled seamlessly. All this process sounds like a bit too much, right?

Website 82

Website Serverless AWS Lambda 82

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. When this happens, it becomes more difficult to find the most important events taking place within your application infrastructure. Cloud-native apps also produce many kinds of data.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148