Dynatrace

SEPTEMBER 3, 2020

Azure Automation provides an extremely powerful set of tools for automating operations within enterprises on hybrid cloud. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. What is Azure Automation?

Azure 260

Azure Cloud Metrics Best Practices 260

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 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

NOVEMBER 1, 2021

Optimizing cloud services can prove quite challenging because logs, metrics, and traces are not always put together in context, and you don’t have access to the underlying hosts. When you use Dynatrace Log Monitoring, it’s enough to forward your logs and have Dynatrace take care of the rest. Optimize database performance.

Azure 195

Azure Database Performance Monitoring 195

Dynatrace

AUGUST 12, 2020

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 137

Azure Serverless IoT Lambda 137

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics 214

Metrics Lambda Infrastructure Monitoring 214

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. What is the difference between monitoring and observability? Is observability really monitoring by another name? What is observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 8, 2019

As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. More than just metrics. Dynatrace news.

Azure 103

Azure Monitoring Serverless Virtualization 103

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. They need a platform-agnostic way to monitor and manage performance across all of them seamlessly.

Azure 172

Azure AWS DevOps Cloud 172

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 227

Metrics Operating System Tuning Monitoring 227

Dynatrace

OCTOBER 20, 2020

With Azure Deployment Slots, a feature of the Azure App Service, you can create one or more slots that can host different versions of your app. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. .

Azure 132

Azure Cloud Traffic Metrics 132

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Dynatrace

JUNE 26, 2020

Dynatrace Digital Experience Monitoring , as part of the Dynatrace Software Intelligence Platform, connects front-end monitoring and the outside-in user perspective with application performance to understand the impact of performance issues across your full stack on user experience and business outcomes. Virginia (Azure), N.

Monitoring 256

Monitoring Azure AWS Traffic 256

Dynatrace

APRIL 25, 2023

In this blog post, we will discuss some of these challenges and how to overcome them. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. What are serverless applications?

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 147

Azure Cloud Big Data Virtualization 147

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 210

Metrics Innovation Strategy Monitoring 210

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Key metrics for OpenShift monitoring. Monitoring is an important part of maintaining any Kubernetes environment.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

JULY 21, 2020

Metrics are an essential functionality provided by the Dynatrace Software Intelligence Platform. Dynatrace OneAgent and ActiveGate extensions provide you with a multitude of metrics. We also empower you with the ability to ingest your own custom metrics and leverage those metrics using a variety of Dynatrace features.

Metrics 147

Metrics Azure Monitoring Infrastructure 147

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Collecting data requires massive and ongoing configuration efforts.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

APRIL 21, 2022

Log Monitoring documentation. Starting with Dynatrace version 1.239, we have restructured and enhanced our Log Monitoring documentation to better focus on concepts and information that you, the user, look for and need. Log Monitoring. Legacy Log Monitoring v1 Documentation. Kubernetes/OpenShift monitoring setup.

Azure 216

Azure Metrics AWS Monitoring 216

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Although this can be somewhat helpful, it is not the same.

Azure 96

Azure Database Tuning Network 96

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 246

AWS Efficiency Azure Cloud 246

Scalegrid

JANUARY 3, 2020

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. This is usually done through monitoring software and tools either built-in to the database management software or installed from third-party providers.

Monitoring 164

Monitoring Metrics Servers Database 164

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. You’ll benefit from serverless computing when: Authenticating users (for example, Okta , Azure Active Directory ). Monitoring serverless applications.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. Infrastructure Monitoring. Settings > Maintenance windows > Monitoring, alerting and availability. Infrastructure Monitoring. Log Monitoring. Dashboards.

Lambda 193

Lambda Azure Metrics Monitoring 193

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? What is predictive AI? What is AIOps?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

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. To better understand real-world use cases and pain points, we have : Launched a Preview release of AWS Lambda monitoring. Dynatrace news.

Serverless 103

Serverless Lambda Monitoring AWS 103

Dynatrace

OCTOBER 6, 2023

Custom data buckets for faster queries, increased control, and custom retention periods The first layer in the Grail data model consists of buckets and tables (and views for entities, which is outside this blog post’s scope). Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

Dynatrace

AUGUST 16, 2021

These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Topics in this blog series.

Software 246

Software Software Open Source Azure 246

Dynatrace

JUNE 29, 2022

Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Automate observability and monitoring. Optimize critical applications’ performance.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

Dynatrace

JUNE 28, 2019

As a full stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent monitored host in your environment. Depending on the types of technologies you’re running on your individual hosts, the average number of metrics is about 500 per computational node. Dynatrace news.

Metrics 102

Metrics Efficiency Monitoring Azure 102

Dynatrace

JULY 7, 2022

While microservices vs. monolithic architecture is a common debate, organizations have other considerations, like service-oriented architecture (SOA), tools, monitoring solutions, and potential migration issues. Additional complexity and monitoring challenges. As part of that complexity, monitoring microservices can become a challenge.

Architecture 200

Architecture Serverless Azure Programming 200

Dynatrace

JULY 30, 2021

Today, it’s great to think back to those times when reading through my old blog posts such as the “ Mid-Tour Backstage Report ” – thanks to every individual who attended! All it takes is putting two tags ( keptn_managed and keptn_service ) on the monitored Dynatrace service we want to enable a quality gate for.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

AUGUST 26, 2020

Premium High Availability and Mainframe monitoring on IBM z/OS licenses are now displayed on the Licensing page. Synthetic monitoring. Displaying availability on the Synthetic monitors page. Displaying availability on the Synthetic monitors page. Error code for browser monitors failing basic authentication.

Azure 243

Azure Metrics Monitoring Cloud 243

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Observability and monitoring challenges with Google Cloud Functions.

Google 221

Google Cloud Serverless Azure 221