Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. This is why Dynatrace is extending its observability capabilities for SAP with PowerConnect for SAP.

Java 188

Java Analytics Best Practices Monitoring 188

Dynatrace

FEBRUARY 26, 2024

This challenge invited our partners to create impactful apps that solve real-world customer use cases using Dynatrace AppEngine. Elevating user experience and design with collaborative partner innovation The top submissions stood out by solving complex business challenges and focusing on creating an exceptional user experience.

Innovation 197

Innovation Analytics Mobile Website 197

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Moreover, with Davis CoPilot™, organizations can use generative AI to harness the full extent of hypermodal AI for every use case.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Dynatrace

FEBRUARY 12, 2024

In fact, according to recent Dynatrace research, 85% of technology leaders say the number of tools, platforms, dashboards, and applications they use adds to the complexity of managing a multicloud environment. An overview of the Dynatrace unified observability and security platform.

Analytics 181

Analytics Artificial Intelligence Engineering Storage 181

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

Dynatrace

JULY 25, 2023

Hypermodal AI, which combines predictive AI, causal AI, and generative AI, boosts productivity across operations, security, development, and business teams. It also simplifies and accelerates onboarding, configuration, and adoption of the Dynatrace platform.

Best Practices 233

Best Practices Analytics Metrics Code 233

Dynatrace

DECEMBER 13, 2023

As 2023 shifts into the rearview mirror, technology and business leaders are preparing their organizations for the upcoming year. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. Data indicates these technology trends have taken hold.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. Observability and application security use cases rely on data.

Analytics 229

Analytics Social Media Metrics Efficiency 229

Dynatrace

MARCH 1, 2024

These experiences are critical not only for attracting new prospects and driving satisfaction but also for providing more value to customers and enabling business growth. Adobe Experience Manager empowers businesses to optimize and deliver engaging experiences across websites, mobile apps, and other touchpoints.

Analytics 189

Analytics Monitoring Website Efficiency 189

Dynatrace

JUNE 26, 2023

Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance.

Software 187

Software Software Analytics Big Data 187

Dynatrace

AUGUST 14, 2023

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 229

Analytics Social Media Website IoT 229

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Even in cases where all data is available, new challenges can arise. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

JANUARY 23, 2024

And security teams can use AI to proactively address potential threats to their IT environments. Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. AI data analysis can help development teams release software faster and at higher quality.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

SEPTEMBER 15, 2023

Also, Dynatrace ranked #1 across all six Use Cases in the 2023 Gartner® Critical Capabilities for APM and Observability report, including the recently introduced Security Operations Use Case (4.46/5). 1 for Security Operations Use Case (4.46/5) 5), and Application Owner/Line of Business (4.01/5)

Monitoring 245

Monitoring Performance Analytics DevOps 245

Dynatrace

SEPTEMBER 30, 2022

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. These tools can increase business observability by showing when and why digital experience, and more broadly IT, impacts business outcomes. How do business analytics tools work?

Analytics 174

Analytics Best Practices Metrics IoT 174

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. Second, the conference will outline some of the critical risks in using generative AI. Generative AI enables organizations to use large language models (LLMs) to autonomously create content, answer queries, and more.

AWS 208

AWS Artificial Intelligence Analytics Cloud 208

Dynatrace

DECEMBER 15, 2022

However, the growing awareness of the potential for bias in artificial intelligence will be a barrier to widespread automation in business operations, IT, development, and security. This will negate efficiency gains and hinder efforts to automate business, development, security, and operations processes. Observability trend no.

Artificial Intelligence 251

Artificial Intelligence Analytics Innovation Healthcare 251

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. What are business events? Example business events from anywhere.

Analytics 227

Analytics Retail Storage Monitoring 227

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. Data silos.

Analytics 188

Analytics Strategy Storage Technology 188

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 187

Analytics Artificial Intelligence Big Data Open Source 187

Dynatrace

DECEMBER 21, 2023

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

Processing 212

Processing Monitoring Retail Analytics 212

Dynatrace

DECEMBER 12, 2023

Artificial intelligence (AI) has revolutionized the business and IT landscape. As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%). This means greater productivity for individual teams.

Artificial Intelligence 206

Artificial Intelligence DevOps Analytics Strategy 206

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” The Dynatrace open platform is well-positioned to take advantage of the exponential increase in data generation.

DevOps 194

DevOps Analytics Airlines Metrics 194

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 214

Analytics Storage Retail DevOps 214

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 189

Processing Monitoring Analytics Games 189

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 201

Analytics Metrics DevOps Storage 201

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 198

AWS Cloud Lambda Analytics 198

Dynatrace

APRIL 28, 2023

However, the opposite is also true—in some cases data must be deleted after a certain period of time. This is the case when a company no longer has legal grounds to retain its customer data, as outlined in privacy protection regulations. The reasons for this can vary from a changing business justification to data-privacy regulations.

Analytics 213

Analytics Storage Infrastructure Metrics 213

Dynatrace

NOVEMBER 15, 2022

Following the launch of Dynatrace® Grail for Log Management and Analytics , we’re excited to announce a major update to our Business Analytics solution. Business events deliver the industry’s broadest, deepest, and easiest access to your critical business data. The need for real-time business observability.

Analytics 230

Analytics Mobile Metrics Games 230

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. This completeness meets the needs of IT professionals and business analysts alike.

Analytics 185

Analytics Innovation Metrics Database 185

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Support diverse analytics workloads. What are the features of a data lakehouse?

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. ” In many cases, indexed databases only provide access to a sample of statistical data summaries.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 199

Analytics Big Data Media Operating System 199

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 181

Analytics Storage Retail DevOps 181

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 181

Engineering Development Infrastructure Cloud 181

Dynatrace

FEBRUARY 15, 2023

Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. AppEngine is a core technology within the Dynatrace platform.

Government 164

Government Serverless Analytics Metrics 164

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. That’s where causal AI can help.

Government 199

Government Analytics Benchmarking Storage 199