Dynatrace

AUGUST 12, 2020

Dynatrace is thrilled to announce the General Availability of support for both the 2.x x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure. Optimize timing hotspots.

Serverless 232

Serverless Azure Monitoring Lambda 232

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. General Availability (Build 1.239.178).

Azure 209

Azure Metrics AWS Monitoring 209

Dynatrace

AUGUST 12, 2020

Dynatrace is thrilled to announce the General Availability of support for both the 2.x x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure. Optimize timing hotspots.

Serverless 140

Serverless Azure Monitoring Lambda 140

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. What is OneAgent?

Metrics 166

Metrics Monitoring Database Network 166

Dynatrace

JUNE 26, 2020

With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. Dynatrace Synthetic Monitoring ensures that your application is available and performs well from anywhere in the world to meet your SLAs. Virginia (Azure), N.

Monitoring 252

Monitoring Azure AWS Traffic 252

SQL Performance

JULY 11, 2019

Last year, I got together with one of my dev teams at SentryOne – they call themselves the SQL Injectors – to talk about the possibility of replicating Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET or better).

Azure 90

Azure Servers Tuning Operating System 90

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. Every time the trigger executes, the function runs on an available resource. Serverless vendors make resources available exactly when you need them.

Serverless 241

Serverless Efficiency Lambda Azure 241

Dynatrace

SEPTEMBER 29, 2021

For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Watch webinar now!

Open Source 295

Open Source Traffic DevOps Cloud 295

SQL Performance

AUGUST 15, 2019

Last year, I got together with one of my dev teams here – they call themselves the SQL Injectors – to talk about the possibility of replicating SentryOne Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET

Azure 50

Azure Servers Tuning Operating System 50

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 180

Metrics Monitoring Azure Code 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 202

Analytics Monitoring Artificial Intelligence DevOps 202

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 142

Software Software Technology Technology 142

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 153

Analytics Technology Technology Cloud 153

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. Application development platforms live in the cloud and are always available.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

SQL Performance

MAY 7, 2019

These threads are created when SQL Server starts, depending on the number of processor cores available for SQL Server to use. The waiter list , which has all the threads that are basically stuck, waiting for a particular resource to become available. SQL Server also keeps track of how long the thread has to wait. Wait Statistics.

Servers 40

Servers Azure Metrics Tuning 40

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 Performance 38

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.

Architecture 52

Architecture Cache Azure Storage 52