Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. Configuration API for AWS and Azure supporting services. New features and enhancements.

Azure 225

Azure Metrics AWS Monitoring 225

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Pay Per Use.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

AUGUST 12, 2020

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Optimize timing hotspots.

Serverless 144

Serverless Azure Monitoring Lambda 144

Dynatrace

JUNE 26, 2020

Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. Virginia (AWS) ?, California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Sydney (AWS) ?

Monitoring 260

Monitoring Azure AWS Traffic 260

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 180

Metrics Monitoring Database Network 180

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. billion in 2020 to $4.1 More automation.

Analytics 219

Analytics Monitoring Artificial Intelligence DevOps 219

Dynatrace

AUGUST 28, 2019

Observability is divided into three major verticals—metrics, logs, and distributed traces—the so-called three pillars of observability. 1) Metrics. As a full-stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Dynatrace news. 2) Distributed traces.

Metrics 191

Metrics Monitoring Azure Code 191

Dynatrace

NOVEMBER 17, 2020

The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP).

Analytics 162

Analytics Technology Technology Cloud 162

Dynatrace

FEBRUARY 9, 2021

All technologies and extensions provide or permit additional contexts, like user sessions and experience, interdependencies between components, or code-level information in addition to the three pillars of observability (traces, metrics, and logs). So please stay tuned for updates. .

Software 147

Software Software Technology Technology 147

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Cloud platforms are fully virtualized and, consequently, highly automated.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

NOVEMBER 25, 2019

Jenkins, XebiaLabs, Azure DevOps, AWS CodePipeline, keptn); how to automate monitoring roll-out , tagging best practices and dashboard creation as well as setting up SLA monitoring through synthetics. We’ll cover Request Attributes , calculated Service Metrics , and using Dynatrace Events API to deliver notifications on test cycles.

DevOps 38

DevOps Software Software Best Practices 38

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. AWS for builds. We did this as AWS was cost-prohibitive.

Architecture 52

Architecture Cache Azure Storage 52