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. While last week’s or last month’s data might be acceptable for historical reporting, it doesn’t help teams respond to dynamic business conditions or react to process anomalies.

Analytics 226

Analytics Mobile Metrics Games 226

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 176

Azure Analytics Artificial Intelligence Innovation 176

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Unraveling these hidden threats requires a proactive and adaptive approach, leveraging advanced technologies and threat intelligence to uncover vulnerabilities and mitigate potential risks.

Analytics 215

Analytics Metrics Database Storage 215

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. In the process, they’re adopting more tools and technologies. These technologies generate a crush of observability data. Data silos.

Analytics 185

Analytics Strategy Storage Technology 185

DZone

APRIL 11, 2023

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246

Azure Analytics Storage Cloud 246

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. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Enter a data lakehouse technology.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Don’t reinvent the wheel.

Analytics 187

Analytics Software Software Storage 187

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In traditional or hybrid IT environments, messaging systems are used to decouple heavyweight processing, buffer work, or smooth over spiky workloads. Dynatrace news.

Analytics 183

Analytics Systems DevOps Healthcare 183

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. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

FEBRUARY 2, 2023

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. Metric extraction is a convenient way to create your business metrics, delivering fast, flexible, and cost-effective analytics.

Analytics 197

Analytics Metrics DevOps Storage 197

Dynatrace

NOVEMBER 18, 2021

Logs include critical information that can’t be found elsewhere, like details on transactions, processes, users, and environment changes. With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction.

Analytics 221

Analytics Cloud Java Serverless 221

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 154

Analytics Technology Technology Cloud 154

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. This creates a billing process that is simplified and straightforward.

Azure 169

Azure Technology Technology Cloud 169

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Risk in banking is broad and interconnected.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. documentation.

Technology 213

Technology Technology Metrics Infrastructure 213

DZone

FEBRUARY 8, 2023

What was once a pipe dream is now a reality: advances in technology over the past decade have allowed businesses to harness the power of real-time data. There are still some clear use cases for batch; for example, payroll or billing typically involve processing a large number of transactions on a regular basis.

Analytics 242

Analytics Efficiency Processing Technology 242

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Only with Dynatrace Digital Busines Analytics.

Analytics 169

Analytics Artificial Intelligence Metrics Design 169

Dynatrace

MARCH 18, 2024

In fact, according to technology intelligence analyst firm HG Insights , OpenTelemetry is the Cloud Native Computing Foundation’s second most active project after Kubernetes and is used by more than 1,600 organizations worldwide, with customer adoption growing at a compound annual growth rate of 59%.

Scalability 259

Scalability Open Source Analytics Innovation 259

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

Google 258

Google Innovation Cloud Analytics 258

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. The app scans all incoming logs for various patterns and uses DQL (Dynatrace Query Language) to collect context like hosts, other processes, and traces for each potential problem.

AWS 216

AWS Analytics Cloud Monitoring 216

DZone

NOVEMBER 28, 2023

Emerging technologies have brought real-time data closer to business users, which plays a critical role in effective decision-making. In data analytics, the "hot path" and "cold path" refer to two distinct processing routes for handling data.

Analytics 161

Analytics Efficiency Technology Technology 161

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

JUNE 26, 2023

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. What is software analytics? What is software automation?

Software 184

Software Software Analytics Big Data 184

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). With this advancement, Dynatrace is now the data-to-answers-to-actions processing engine of choice that relieves you of the burden of manual health and performance analysis.

Metrics 244

Metrics Analytics Storage Monitoring 244

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

DZone

AUGUST 23, 2023

It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions. Thanks to technological advancements and the accessibility of open-source tools, gathering and analyzing data from IoT devices has become easier than ever before.

IoT 241

IoT Energy Open Source Analytics 241

Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Massively parallel processing.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. All these steps and stages slow down processes, are error-prone, and introduce additional security risks.

DevOps 180

DevOps Analytics Storage Metrics 180

DZone

JUNE 7, 2023

ERP systems offer standardized processes, enabling developers to accelerate development cycles and align with industry best practices. Streamlining business processes: ERP systems automate repetitive tasks, eliminate manual data entry, and provide workflow management capabilities, leading to streamlined and efficient business processes.

Systems 169

Systems Software Software Development 169

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. As a result, we created Grail with three different building blocks, each serving a special duty: Ingest and process.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

FEBRUARY 28, 2024

Certification by an independent assessor includes an audit of the company’s information security measures, including its infrastructure, processes, and data protection practices. Dynatrace recently passed this rigorous audit process and successfully demonstrated its ability to handle data securely.

Automotive 241

Automotive Infrastructure Analytics Innovation 241

Dynatrace

JANUARY 30, 2024

Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s It’s great to put new technology on the table,” said Johnson. Additionally, as the program gathers more data, it will enable predictive analytics to forecast future talent and skill deficits.

Artificial Intelligence 198

Artificial Intelligence Government Innovation Programming 198

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69