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 181

Azure Monitoring Virtualization Metrics 181

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

JUNE 8, 2022

Find Java Apache HttpClient v5 and turn it on. Serverless. Added Azure Functions Consumption Plan tracing for.NET. Added automatic tracing support for JMS messaging on z/OS Java. JBoss Application Server 6, 7 for Java. x for Java. Dynatrace news. Rollout starts June 8, 2022. Dynatrace ONE Premium.

Java 152

Java Operating System Lambda Serverless 152

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

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. What is Google Cloud Functions?

Google 214

Google Cloud Serverless Azure 214

ScaleOut Software

MAY 19, 2020

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. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

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. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed.

Logistics 52

Logistics IoT Analytics Azure 52