Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.

Azure 213

Azure Cloud Metrics Innovation 213

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. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 211

Google Cloud Serverless Azure 211

Dynatrace

DECEMBER 2, 2020

As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. Where traditional monitoring falls flat. Then teams can leverage and interpret the observable data. Observability defined.

DevOps 147

DevOps Monitoring Cloud Artificial Intelligence 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. Every component has its own siloed cloud monitoring tool, with its own set of data.

Cloud 155

Cloud Monitoring Latency Games 155

Dynatrace

DECEMBER 8, 2021

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 216

Cloud Serverless Hardware Operating System 216

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

Metrics 217

Metrics Analytics Monitoring Efficiency 217

Dynatrace

SEPTEMBER 8, 2022

Some time ago, we announced monitoring coverage for all Azure Monitor services , as well as the ability to purchase the Dynatrace Software Intelligence Platform through the Microsoft Azure Marketplace. Monitoring of selected Azure resources in your Azure subscription is established automatically. How to get started.

Azure 221

Azure Cloud Virtualization Metrics 221

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 178

Systems Cloud Analytics DevOps 178

Dynatrace

JANUARY 27, 2022

AIOps capabilities help IT teams cope with the overwhelming complexity of multicloud and hybrid cloud environments. In a preview video for Dynatrace Perform 2022, Joel Alcon, Dynatrace product marketing director of services, and Lauren Horwitz, content director at Dynatrace, discuss the role of causal AI in cloud observability.

Cloud 205

Cloud Games Architecture Monitoring 205

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 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. 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! Hands-on 1: Your first quality gate.

Cloud 211

Cloud DevOps Azure Virtualization 211

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 172

Infrastructure Cloud Azure AWS 172

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 204

Traffic AWS Network Cloud 204

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. Dynatrace news.

Strategy 187

Strategy Cloud Infrastructure Metrics 187

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. Collecting data requires massive and ongoing configuration efforts.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to Dynatrace to help them monitor complex environments without the hassle. ski explains.

Cloud 161

Cloud Lambda Serverless AWS 161

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. VA’s journey into the cloud.

Cloud 168

Cloud Infrastructure Innovation Monitoring 168

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring 209

Monitoring Metrics DevOps Scalability 209

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability? And why it matters.

Best Practices 200

Best Practices AWS Monitoring Serverless 200

Dynatrace

AUGUST 16, 2022

Years ago, we saw how the shift to dynamic multiclouds would cause an explosion of data and complexity that’d be nearly impossible for organizations to manage, and we completely reimagined our platform to stay ahead of the curve. We call that approach Cloud done right. So, why is Cloud done right so critical to every cloud migration?

Cloud 130

Cloud Innovation Efficiency Monitoring 130

Dynatrace

JANUARY 13, 2022

Real user monitoring can help you catch these issues before they impact the bottom line. What is real user monitoring? Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. How real user monitoring works.

Monitoring 170

Monitoring Latency Mobile Best Practices 170

Dynatrace

FEBRUARY 25, 2021

Synthetic monitoring can help to confirm your applications are performing as intended and, in the event they’re not, help you quickly figure out what’s going on. Here’s a look at what synthetic monitoring is, how it’s different from real-user monitoring, and why it matters to your business.

Monitoring 217

Monitoring Mobile Website Performance 217

Dynatrace

NOVEMBER 9, 2022

Today’s organizations know they need cloud environments to stay competitive. . Indeed, according to some research, more than 90% of organizations now use cloud computing. cloud-native platforms will be the foundation ?for But many companies’ IT infrastructure doesn’t start out in the cloud. And Gartner predicts that?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

NOVEMBER 18, 2021

Cloud-native observability is a prerequisite for companies that need to meet these expectations. A key element of effectively leveraging observability is analyzing telemetry data in context. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces.

Analytics 213

Analytics Cloud Java Serverless 213

Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. Using AppEngine as the foundation, they fed disk utilization data into Davis ® AI to forecast the required resizing operation.

AWS 209

AWS Analytics Cloud Monitoring 209

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability.

Operating System 193

Operating System Energy Infrastructure Architecture 193

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually.

Cloud 165

Cloud DevOps Code Open Source 165

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 172

Infrastructure Monitoring Artificial Intelligence Open Source 172

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 209

Google Cloud Serverless Innovation 209

Dynatrace

DECEMBER 3, 2021

The adoption of cloud computing in the federal government will accelerate in a meaningful way over the next 12 to 18 months, increasing the importance of cloud monitoring. This is welcome insight as the Cloud First and Cloud Smart initiatives continue to take root. Obstacles to cloud monitoring.

Cloud 177

Cloud Artificial Intelligence Government Analytics 177

Dynatrace

MARCH 16, 2021

HashiCorp’s Terraform is an open-source infrastructure as a code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. Terraform codifies cloud APIs into declarative configuration files. What is monitoring as code? What are the benefits of monitoring as code?

Code 236

Code Monitoring Best Practices Infrastructure 236

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news.

Monitoring 181

Monitoring Artificial Intelligence DevOps Serverless 181

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 254

Azure Cloud Metrics Best Practices 254