Dynatrace

JANUARY 31, 2024

Today’s multicloud environments consist of hundreds of applications, hundreds of thousands of hosts and containers, and use an ever-increasing number of technologies. To address this need, companies are investing in unified observability and security platforms to consolidate and prevent tool sprawl.

Analytics 177

Analytics Infrastructure Monitoring Cloud 177

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.*

Best Practices 248

Best Practices Analytics Artificial Intelligence Infrastructure 248

Dynatrace

JULY 7, 2022

Gartner recently published its annual Magic Quadrant for APM which has now been extended to include Observability. Evaluating 19 vendors, Gartner named Dynatrace a Leader once again, positioning us furthest for Completeness of Vision. Dynatrace news. And we couldn’t be more thrilled.

DevOps 193

DevOps Innovation Open Source Strategy 193

Dynatrace

FEBRUARY 20, 2024

Monitoring myriad tools and the accompanying data silos make it increasingly difficult for enterprises to optimize application performance and availability. Despite this, organizations continue to adopt multiple tools and software services to address their monitoring needs.

Monitoring 155

Monitoring Education Technology Technology 155

Dynatrace

JANUARY 23, 2024

These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 190

Performance DevOps Innovation Artificial Intelligence 190

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. We’ll post news here as it happens!

Efficiency 280

Efficiency Performance Analytics DevOps 280

Dynatrace

APRIL 19, 2021

I am delighted to share, Dynatrace has been named a Leader for the 11 th consecutive time in the 2021 Gartner Magic Quadrant for Application Performance Monitoring (APM) report. Once again, Gartner has positioned Dynatrace highest for Ability to Execute and furthest for Completeness of Vision.

DevOps 162

DevOps Innovation Speed Infrastructure 162

Dynatrace

FEBRUARY 10, 2022

Some organizations even struggle to meet their SLOs (service-level objectives) or find themselves on the verge of penalty payments that undercut their ability to achieve critical business standards. Observability and AIOps help drive automated delivery and operations processes. Dynatrace news. Atlassian Bitbucket. JFrog Pipelines.

Artificial Intelligence 233

Artificial Intelligence DevOps Azure Cloud 233

Dynatrace

FEBRUARY 3, 2021

The survey measures 15 culture drivers that are critical to the success of any organization, including alignment, execution, and connection, to name a few. These accolades build on a strong series of recent industry recognition for Dynatrace, including: Rated by G2 users as #1 in observability and the #1 AIOps platform.

Innovation 246

Innovation Programming Analytics Monitoring 246

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. Observability defined. Where traditional monitoring falls flat. Where traditional monitoring falls flat.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

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. Application performance management.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Observability can help them identify problems in their cloud environments and provide information about the precise root cause of a problem.

Innovation 202

Innovation DevOps Cloud Efficiency 202

Dynatrace

AUGUST 31, 2020

Now I’m pleased to share we’ve received yet another one: Dynatrace has been named to the Constellation ShortList™ for Digital Performance Management for Q3 2020. The challenge – and business-critical importance – of mastering DPM. This year’s list was particularly focused on the use of machine learning and self-service reporting.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

Dynatrace

SEPTEMBER 22, 2021

Here’s what APM is, how organizations use APM to manage application performance, the difference between APM tools and APM platforms, and the business benefits an advanced APM platform provides. This acronym can stand for application performance monitoring or application performance management — two distinct but related concepts.

Innovation 209

Innovation Open Source Monitoring Infrastructure 209

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. Dynatrace news.

Monitoring 208

Monitoring Social Media IoT Metrics 208

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways.

Analytics 226

Analytics Storage Infrastructure Metrics 226

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.

Infrastructure 182

Infrastructure Monitoring Artificial Intelligence Open Source 182

Dynatrace

MAY 24, 2021

And we believe this is supported by the analyst community as we were recognized as a Leader in the 2021 Gartner Magic Quadrant for Application Performance Monitoring and scoring highest in four of five use cases in the 2021 Gartner Critical Capabilities for APM report.

Programming 237

Programming Cloud Virtualization Technology 237

Dynatrace

JUNE 16, 2022

Runtime application self-protection (RASP) is one of the newer approaches to protecting web applications. Currently, RASP is undergoing a significant evolution with the rise in web attacks and new application deployment models. Securing cloud applications requires a layered approach. Dynatrace news. million attacks.

Tuning 227

Tuning Cloud Open Source Network 227

Dynatrace

JANUARY 13, 2021

We are pleased to share, G2 users have just named Dynatrace number 1 in the first-ever Observability Suite Solutions ranking. User feedback like this is critical to our platform innovation, and we view these insights as the building blocks of our strategy to transform the way digital teams work.”.

Artificial Intelligence 139

Artificial Intelligence DevOps Analytics Innovation 139

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. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

MAY 15, 2020

How to assess an environment’s security posture, risk and threat profile, and possible attack vectors, where perhaps you didn’t code the application or build the infrastructure, and where new code is deployed frequently, and the infrastructure is constantly changing? 2020 Gartner Magic Quadrant for APM and Gartner Critical Capabilities.

Government 230

Government DevOps Infrastructure Network 230

Dynatrace

OCTOBER 26, 2020

These Comparably awards follow a strong series of recent industry recognition, including: Recognized by Gartner as a Leader in Application Performance Monitoring (APM) for the 10th consecutive time. Recognized in the Constellation ShortList™ for Digital Performance Management for Q3 2020.

Innovation 130

Innovation Analytics Google Monitoring 130

Dynatrace

NOVEMBER 17, 2020

Clairvoyance, however, was not needed to foresee that Dynatrace would perform so well in the abundance of analyst research we’ve shared (selected reports below). Clairvoyance, however, was not needed to foresee that Dynatrace would perform so well in the abundance of analyst research we’ve shared (selected reports below). Julius Loman.

Entertainment 176

Entertainment Innovation Virtualization Cloud 176

Dynatrace

AUGUST 26, 2020

This advanced observability also applies across organizations’ DevOps processes , delivery pipelines , and production environments , empowering them to catch bad code before it can impact end-users , empowering them to catch bad code before it can impact end-users. . Validating the success – and need – for AI-assistance.

Engineering 304

Engineering DevOps Innovation AWS 304

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Humans simply cannot manually review and analyze the massive amount of data that a modern observability solution can process automatically.

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

Dynatrace

NOVEMBER 9, 2022

And Gartner predicts that? Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . According to some data, 93% of technologists find cloud application modernization challenging.

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

MAY 24, 2021

And we believe this is supported by the analyst community as we were recognized as a Leader in the 2021 Gartner Magic Quadrant for Application Performance Monitoring and scoring highest in four of five use cases in the 2021 Gartner Critical Capabilities for APM report.

Programming 174

Programming Cloud Virtualization Technology 174

Dynatrace

MARCH 14, 2022

With containers, microservices, applications, and other components that are constantly broken down and rebuilt as part of the software development lifecycle (SDLC), IT teams struggle to identify true issues and deliver software that enables doctors and nurses to deliver care. Gartner introduced the concept of AIOps in 2016.

Healthcare 231

Healthcare Artificial Intelligence Innovation Strategy 231

Dynatrace

APRIL 2, 2020

For two decades, Dynatrace NAM—Network Application Monitoring, formerly known as DC RUM—has been successfully monitoring the user experience of our customers’ enterprise applications. Performance has always mattered. A network packet-level visualization of an application data exchange. Dynatrace news.

Network 166

Network Traffic Monitoring Java 166