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

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Azure Logic Apps. Azure Container Instance.

Azure 155

Azure Cloud Tuning Monitoring 155

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

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

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

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

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

JULY 12, 2019

Identity management and monitoring across customers and cloud provider accounts have become increasingly complex, making it harder to enforce performance and security policies. Working closely together with the Microsoft Azure team, Dynatrace has embraced Azure Lighthouse as an early adopter. Learn more at azure.com/lighthouse.

Azure 155

Azure Efficiency Cloud Monitoring 155

Dynatrace

FEBRUARY 1, 2024

The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution. Want to try it for yourself? Check it out here.

Engineering 263

Engineering Efficiency Azure Monitoring 263

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

NOVEMBER 29, 2021

It also protects your development infrastructure at scale with enterprise-grade security. 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. Scale and manage infrastructure.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. This scenario has become all too common as digital infrastructure has grown increasingly complex.

Cloud 157

Cloud Monitoring Latency Games 157

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. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 259

Cloud Azure Analytics AWS 259

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. Dynatrace news.

Metrics 214

Metrics Lambda Infrastructure Monitoring 214

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. Cloud-hosted managed services eliminate the minute day-to-day tasks associated with hosting IT infrastructure on-premises. Monitoring serverless applications.

Serverless 243

Serverless Efficiency Lambda Azure 243

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

FEBRUARY 9, 2022

In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. 3 End-to-end distributed trace including Azure Functions. recent blogs. trial page ?for

Serverless 187

Serverless Azure Lambda AWS 187

Dynatrace

DECEMBER 2, 2021

Infrastructure Monitoring. Settings > Anomaly detection > Infrastructure. Settings > Maintenance windows > Monitoring, alerting and availability. To see all queues and topics detected by OneAgent within your monitoring environment. Infrastructure Monitoring. Log Monitoring.

Lambda 193

Lambda Azure Metrics Monitoring 193

Dynatrace

MAY 19, 2021

Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. However, while Kubernetes can help teams monitor the health of their environments and restart failed applications, the platform has limited visibility into the internal state of those applications.

Innovation 236

Innovation Azure Infrastructure Cloud 236

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

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. What is the difference between monitoring and observability? Is observability really monitoring by another name? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes.

Analytics 240

Analytics Infrastructure AWS Operating System 240

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

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

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

Dynatrace

APRIL 22, 2022

At Dynatrace Perform 2022 , Technology Services Manager Thomas Janik and AWS Monitoring SME Matt Gault, both from American Family, explain how they boosted their cloud operations to increase resilience. American Family turned to Dynatrace to help them monitor complex environments without the hassle.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “We used Dynatrace to monitor that large increase in servers. Dynatrace news.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

Dynatrace

JULY 31, 2020

While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. Optionally you can provide a name for the initial monitoring environment.

Cloud 209

Cloud Availability Azure Google 209

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. And then we never see these issues manifest again.

Innovation 219

Innovation Infrastructure DevOps Azure 219

Dynatrace

NOVEMBER 11, 2021

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.

AWS 213

AWS Cloud Lambda Azure 213

Dynatrace

FEBRUARY 13, 2020

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.

Performance 236

Performance Analytics Mobile Innovation 236

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. I, Andreas Grabner, helped to bring the blog to life! Any testing that’s done without getting insights with an observability platform or monitoring solution ends up consuming too much time to analyze problems. Dynatrace news. zone } } } }.

Testing 217

Testing Open Source Metrics Infrastructure 217

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This is essential for operators to understand the health and behavior of the container infrastructure as well as the applications running in it. Built-in monitoring.

Open Source 301

Open Source Traffic DevOps Cloud 301

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. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 226

Cloud Serverless Hardware Operating System 226

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. The primary challenge being not able to access the underlying infrastructure metrics. Monitoring. Monitoring Serverless Applications. Scalability. You can’t just set it and forget it.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth . To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes.

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

FEBRUARY 20, 2020

Modern service infrastructure depends heavily on IT’s ability to dynamically scale the number of hosts up or down, depending on the expected workload. Cloud providers, such as AWS, Azure, and GCP, help to automate the process of upscaling or downscaling compute power by providing autoscaling groups. Dynatrace news.

AWS 166

AWS Azure Infrastructure DevOps 166