Dynatrace

MARCH 18, 2024

Organizations use it to collect and send data to a backend, such as Dynatrace, that can analyze software performance and behavior. Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately.

Scalability 259

Scalability Open Source Analytics Innovation 259

Dynatrace

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. What is causal AI? What is predictive AI? What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

The Netflix TechBlog

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. It served as the foundation for numerous encoding innovations developed by our team.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. As data from different corners of the enterprise proliferates, teams need a better way to bring data together to identify performance and security issues, minimize security risk, and drive greater business value. Learn more.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

OCTOBER 7, 2020

Our latest innovation for detecting anomalies in metrics, topology-aware Davis-AI auto-adaptive baselining, is unique in that it adapts to changing metric behavior over time, thereby helping you to avoid false-positive alerts. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 244

Metrics Analytics Storage Monitoring 244

Dynatrace

JANUARY 19, 2022

At our virtual conference, Dynatrace Perform 2022 , the theme is “Empowering the game changers.”. Empowering the game changers at Dynatrace Perform 2022. While conventional monitoring scans the environment using correlation and statistics, it provides little contextual information for remediating performance or security issues.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

FEBRUARY 3, 2021

At Dynatrace, our culture is rooted in a shared mission to empower our customers to accelerate innovation and digital transformation, to manage and optimize the clouds that underpin this transformation, and to enable digital teams to focus on the projects that inspire them and allow them to do their best work. Dynatrace news.

Innovation 245

Innovation Programming Analytics Monitoring 245

Dynatrace

JANUARY 5, 2023

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. An insider’s guide to AI for IT ops — and beyond – blog. – blog. What is AIOps? What is IT automation?

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

Dynatrace

OCTOBER 15, 2020

The team at Dynatrace is pleased to announce we have been recognized as a 2020 Gartner Peer Insights Customers’ Choice for Application Performance Monitoring. The whole team at Dynatrace is proud to receive this recognition and to be named a 2020 Gartner Peer Insights Customers’ Choice for Application Performance Monitoring Suites.

Monitoring 123

Monitoring Performance Innovation Analytics 123

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. All of this enables DevOps teams to spend more time on innovative, value-adding activities, as Davis continuously monitors for errors or system degradations. million a year in employee productivity alone. .

Engineering 301

Engineering DevOps Innovation AWS 301

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 201

Innovation Open Source Monitoring Infrastructure 201

Dynatrace

FEBRUARY 8, 2021

Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Gaining visibility to manage the performance and security of serverless applications in distributed public clouds can be difficult.

Serverless 174

Serverless Architecture Open Source Innovation 174

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. These cultural points resonated with me most: freedom and responsibility, high bar for performance, and no hiring of brilliant jerks.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

APRIL 28, 2020

Gartner just released its latest Magic Quadrant for Application Performance Monitoring (APM) , and a separate Critical Capabilities for APM report. Our employees listen carefully to our customers and innovate continuously. Gartner, Magic Quadrant for Application Performance Monitoring, Charley Rich, Federico De Silva, 22 April 2020.

DevOps 240

DevOps Innovation Monitoring Analytics 240

Dynatrace

SEPTEMBER 28, 2020

The study for the ISG Provider Lens ™ Cloud-Native Observability Quadrant measures the breadth, depth, quality, and vision of a product portfolio’s offering, and its competitive strength in the marketplace, customer satisfaction, business innovation, and go-to-market strength.

Cloud 243

Cloud Serverless Innovation Architecture 243

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 246

Artificial Intelligence Serverless Analytics Innovation 246

Dynatrace

MAY 24, 2021

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. Performance improvements ensure full observability without jeopardizing user experience: We’re seeing tremendous performance improvements, especially for functions that are written in Java. Dynatrace news.

Lambda 295

Lambda AWS Serverless Java 295

Dynatrace

OCTOBER 25, 2022

The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. By greatly reducing the effort required by the operations side of the equation, teams have more time to innovate and optimize processes.

DevOps 213

DevOps Big Data Cloud Innovation 213

Dynatrace

OCTOBER 1, 2021

Because cloud services rely on a uniquely distributed and dynamic architecture, observability may also sometimes refer to the specific software tools and practices businesses use to interpret cloud performance data. Observability enables you to understand what is slow or broken and what needs to be done to improve performance.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Jos

JUNE 2, 2018

Web Performance is not only about understanding what makes a site fast. Performance is a feature and needs to be prioritized as such. Performance is a topic that has interested me for a long time. Moving over to web, the performance problems are different. This is not a post explaining why web performance is important.

Performance 237

Performance Speed Google Media 237

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. We don’t have to wait 5, 15, or even 60 minutes” states Travis Anderson, Application Performance Management at Duke Energy.

Monitoring 197

Monitoring Software Software DevOps 197

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 201

Cache Azure Infrastructure Monitoring 201

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. 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.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

Edge Perspectives

JANUARY 21, 2019

I recently wrote a blog post suggesting that the ultimate test of transformation is whether the caterpillar became a butterfly – is it so different that it’s unrecognizable? It’s Martin Luther King Day in the US and I can’t think of a better day to declare that I have a dream and to explore that dream in a blog post.

Innovation 104

Innovation Scalability Efficiency Mobile 104

Dynatrace

NOVEMBER 22, 2021

Deterministic AI, or causal AI, automatically reveals precise links between cause and effect in real time—and takes action on these root causes before they result in performance or user experience problems downstream. Dynatrace extends contextual analytics and AIOps for open observability. AIOps done right.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JULY 25, 2022

Dynatrace uses your data and its sophisticated AI causation engine Davis® to automatically detect performance anomalies in applications, services, and infrastructure. For example, performance degradations, improper functionality, or lack of availability (that is, problems that represent anomalies in baseline system performance).

AWS 214

AWS Transportation Network Traffic 214

Dynatrace

JULY 5, 2022

Many companies combine second-generation application performance management (APM) solutions to collect and aggregate data with machine-learning-based AIOps tools that add analysis and execution. Increased business innovation. Aggregation. But this approach introduces complexity and a potential loss of context. Expanded collaboration.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. For example, a typical use case involves a web server running an analytics and reporting system.

Artificial Intelligence 183

Artificial Intelligence Innovation Servers Database 183

Dynatrace

OCTOBER 26, 2020

Helping teams to innovate and transforming how they work isn’t just our mission for customers and partners. 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. Dynatrace news.

Innovation 130

Innovation Analytics Google Monitoring 130

Dynatrace

SEPTEMBER 10, 2020

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. You’ll benefit through ad hoc analytics to drive real-time collaboration. customers also?choose?to to include?user?warnings?or

Retail 132

Retail Analytics Metrics Mobile 132

Dynatrace

SEPTEMBER 7, 2022

Today, Dynatrace is recognized as a Leader in the 2022 Gartner Magic Quadrant for Application Performance Monitoring and Observability.¹ When it comes to dynamic cloud environments, Dynatrace is also an innovator in “modern cloud done right.” Check out our Power Demo: Log Analytics with Dynatrace. Why Dynatrace?

Traffic 212

Traffic AWS Network Cloud 212

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Dynatrace news. Optimize timing hotspots.

Serverless 234

Serverless Azure Monitoring Lambda 234