Dynatrace

APRIL 13, 2023

The growing complexity of multicloud environments and ever-increasing number of application vulnerabilities have made it harder than ever to protect against attacks. Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. What is log auditing?

Analytics 193

Analytics Java Infrastructure Cloud 193

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. What is the difference between monitoring and observability? The value of observability doesn’t stop at IT use cases.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Connecting data siloes requires daunting integration endeavors.

Cloud 262

Cloud Azure Analytics Open Source 262

Dynatrace

DECEMBER 23, 2021

Log4Shell is a software vulnerability in Apache Log4j 2 , a popular Java library for logging error messages in applications. Since it emerged, millions of applications and devices have been targets of cyberattacks seeking to exploit this vulnerability. Traditional application security approach to mitigating Log4Shell.

Internet 220

Internet Internet Energy Open Source 220

Dynatrace

MAY 9, 2022

Traditional monitoring tools cannot monitor legacy and cloud-native applications on the same platform. Thanks to modern observability platforms, cloud migration has never been easier. Execute rehost, re-platform, refactor, and rearchitect through automation and Agile delivery. Assessment and discovery with Dynatrace.

Strategy 207

Strategy Cloud Infrastructure Java 207

Dynatrace

SEPTEMBER 16, 2020

The new Service Graph Connector enhances the integration between ServiceNow and the Dynatrace Software Intelligence Platform. By delivering closed-loop, automated IT Operations Management (ITOM) workflows with AI-assistance, this ensures smarter answers and precise topology and service mapping for your multi-cloud environment.

Programming 177

Programming Cloud Engineering Infrastructure 177

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

AUGUST 28, 2020

IT operations, application, infrastructure, and development teams all look to the topic of observability as the silver bullet to solve their problems. However, observing telemetry from back-end applications does not provide the full picture of how your systems are behaving.

IoT 163

IoT Infrastructure Monitoring Innovation 163

Dynatrace

NOVEMBER 2, 2020

This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more. As businesses have, and continue to, change the way they work, they are relying on their applications and services as their only revenue stream.

Infrastructure 208

Infrastructure Monitoring Virtualization Serverless 208

Dynatrace

OCTOBER 22, 2020

The Service Graph Connector complements the Dynatrace Incident Integration app, with bi-directional integration between the Dynatrace Software Intelligence Platform and the Now Platform from ServiceNow. ServiceNow Event Management Dashboard showing all services and applications monitored by Dynatrace and severity grouping.

Infrastructure 150

Infrastructure Cloud Metrics Code 150

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. You get code-level insights into application code without code changes. The complete setup runs as Kubernetes pods.

Java 241

Java Traffic Strategy Architecture 241

Dynatrace

JANUARY 12, 2021

It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Observability is the new standard of visibility and monitoring for cloud-native architectures.

Monitoring 200

Monitoring Artificial Intelligence DevOps Serverless 200

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can also be referred to as: Application performance management.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

JUNE 6, 2019

The most significant disadvantage of these single-purpose tools is that they lack—by their very nature—a systematic approach to bringing metrics, logs, and traces into context so that application teams and platform operators can make sense of them without manually connecting and correlating the raw monitoring data.

Monitoring 165

Monitoring Tuning Metrics Analytics 165

Dynatrace

JULY 9, 2019

Integrating diverse data stores on multiple platforms for many systems requires extensive knowledge of the data management platform, different APIs, and different types of data stores. Otherwise, the systems based on these platforms may fail at scale. Dynatrace is not the only tool they rely on, however.

DevOps 171

DevOps Scalability Systems Technology 171

Dynatrace

NOVEMBER 17, 2020

In addition, the teams building and running applications are working with different technologies in parallel. To achieve observability and apply distributed tracing, IT teams leverage varying methods for the different parts of their application stack. Just one command instruments your entire application environment for monitoring.

Analytics 161

Analytics Technology Technology Cloud 161

Dynatrace

SEPTEMBER 30, 2020

Sure you can go fast but you and your applications won’t end up in the right place and there is a good chance you will end up in a ditch with a broken app! So how do you refactor those monolith applications, build new cloud-native applications and containerize legacy apps and do so in record time?

Innovation 149

Innovation Speed Virtualization Infrastructure 149

Dynatrace

MARCH 19, 2020

Disparate tools, used by separate teams, which do not talk to each other need to be replaced with platforms that provide shared visibility, so your remote teams can all be working with the same data towards the same goals. You should also be looking at user experience, automated discovery, real-time topology mapping, and Causation-Based AI.

Infrastructure 184

Infrastructure Innovation Cloud Metrics 184

Dynatrace

FEBRUARY 9, 2021

For digital enterprises, all-in-one data platforms are an essential enabler and accelerator, transforming the way businesses work. E xtend the open enterprise-grade platform to cover specific technologies and use cases. . Easily leverage Dynatrace for cloud platforms, open data frameworks, and other natively supported technologies.

Software 147

Software Software Technology Technology 147

Dynatrace

MAY 6, 2019

And while those enterprises are moving applications to modern cloud stacks for agility and competitive advantage, these applications often still depend on critical transactions and ‘crown jewels’ customer data residing on IBM Z mainframes. Dynatrace extends AI-powered software intelligence platform to hybrid mainframe environments.

Java 117

Java Programming Technology Technology 117

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. But what does it take to migrate your existing applications to the cloud? Multicloud complexity. Inconsistent performance.

Cloud 171

Cloud Traffic Best Practices Strategy 171

Dynatrace

AUGUST 28, 2019

As a full-stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. While people tend to focus on backend services when discussing tracing, there is great value in starting traces on the client side (in the browser , mobile app or any custom application ). 1) Metrics.

Metrics 190

Metrics Monitoring Azure Code 190

Strategic Tech

FEBRUARY 16, 2022

The Nature of Evolution New innovations often become the platform for future innovations. Google Maps started life in 2005 as a desktop application for getting from point A to point B. It’s not inevitable that every product or innovation is going to become a platform for future innovations, but it is inevitable that some will be.

Innovation 52

Innovation Speed Google Strategy 52

O'Reilly Software

MARCH 7, 2018

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. application re-architecture) requires disruption to the status quo. Illustrates the flow of data and backpressure in a stream topology. Welcome to a new world of data-driven systems. Successful SOA (i.e.,

Transportation 72

Transportation Java Programming Architecture 72