Dynatrace

DECEMBER 21, 2023

Business processes are important because they improve the efficiency, consistency, and quality of the business outcome. Monitoring business processes is one thing organizations can do to help improve the key business processes that enable them to provide great customer experiences. Reduce costs.

Processing 217

Processing Monitoring Retail Analytics 217

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 256

Cloud Lambda AWS Analytics 256

Dynatrace

MARCH 21, 2024

As the world becomes increasingly interconnected with the proliferation of IoT devices and a surge in applications, digital transactions, and data creation, mobile monitoring — monitoring mobile applications — grows ever more critical.

Mobile 181

Mobile Monitoring Analytics IoT 181

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. As organizations add more tools, it creates a demand for common tooling, shared data, and democratized access. But getting the value out of the data is not easy.

Analytics 193

Analytics Strategy Storage Technology 193

Dynatrace

FEBRUARY 16, 2024

The growing complexity of modern multicloud environments has created a pressing need to converge observability and security analytics. Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. Clair determined what log data was available to her. To begin, St.

Analytics 186

Analytics Engineering Cloud Traffic 186

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 190

Analytics Innovation Metrics Database 190

DZone

AUGUST 23, 2023

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. In this tutorial, we will guide you through the process of setting up a monitoring system for IoT device data.

IoT 241

IoT Energy Open Source Analytics 241

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length.

Efficiency 270

Efficiency Architecture Energy Monitoring 270

Dynatrace

FEBRUARY 12, 2024

However, these environments can drown enterprises in data, forcing them to adopt multiple tools and services to manage and secure it. With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation.

Analytics 185

Analytics Artificial Intelligence Engineering Technology 185

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. But as a company with a mission to “ Do It Right ” and be a relentless ally for customers and communities, the high-cost monitoring solutions it was using provided only limited insights into end-user experiences.

Technology 221

Technology Technology Analytics Innovation 221

Dynatrace

SEPTEMBER 30, 2022

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? Business analytics begins with choosing the business KPIs or tracking goals needed for a specific use case, then determining where you can capture the supporting metrics.

Analytics 178

Analytics Best Practices Metrics IoT 178

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 219

Analytics Storage Retail Monitoring 219

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. This leads to a more efficient and streamlined experience for users. Start monitoring Hyper-V Navigate to the Dynatrace Hub and activate the Microsoft Hyper-V Extension. What’s next?

Efficiency 219

Efficiency Virtualization Hardware Performance 219

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. In the recently published Gartner® “ Critic al Capabilities for Application Performance Monitoring and Observability,” Dynatrace scored highest for the IT Operations Use Case (4.15/5) 5) in the Gartner report. 5) in the Gartner report.

Monitoring 230

Monitoring Artificial Intelligence Performance Analytics 230

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. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 239

Analytics Artificial Intelligence Storage Serverless 239

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory? MySQL does.

Cache 89

Cache Efficiency Database Monitoring 89

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. The Business Flow app Business Flow, built with AppEngine, simplifies the configuration, monitoring, and analysis of business processes.

Processing 194

Processing Monitoring Analytics Games 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 185

Analytics Storage Retail Monitoring 185

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. This complexity creates silos that affect the ability of IT, development, security, and business teams to achieve the awareness they need to make data-driven decisions.

Analytics 130

Analytics Storage Cloud DevOps 130

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. But to be successful, data quality is critical.

Government 204

Government Analytics Benchmarking Storage 204

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

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. What is a data lakehouse?

Artificial Intelligence 213

Artificial Intelligence Storage Analytics Government 213

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. Ideally, IT data can inform business-side decisions, but there’s a challenge. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes?

Analytics 180

Analytics Ecommerce Metrics Innovation 180

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.

Analytics 192

Analytics Infrastructure Storage Efficiency 192

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

Metrics 234

Metrics Analytics Monitoring Efficiency 234

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights?

Performance 190

Performance DevOps Innovation Artificial Intelligence 190

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Successful compliance with privacy rights requests involves tracking and verifying requests across the entire data ecosystem, including third-party services.

Tuning 230

Tuning Scalability Efficiency Processing 230

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. Customized security measures tailored to the specific architecture and workloads of each organization’s cloud infrastructure can effectively protect data from potential threats or vulnerabilities.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

DZone

JANUARY 4, 2024

The Industrial Internet of Things ( IIoT ) has revolutionized the industrial landscape, providing organizations with unprecedented access to real-time data from connected devices and machines. This wealth of data holds the key to improving operational efficiency, reducing downtime, and ensuring the longevity of industrial assets.

Artificial Intelligence 140

Artificial Intelligence Monitoring Internet Internet 140

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. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization.

Google 266

Google Innovation Cloud Analytics 266

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 181

Cloud Artificial Intelligence Innovation Architecture 181

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 192

Software Software Analytics Big Data 192

Dynatrace

MARCH 1, 2024

As a result, it is difficult to ensure application efficiency and ensure accurate delivery across touchpoints. The Dynatrace platform offers comprehensive observability and monitoring across the entire technology stack. This lack of end-to-end visibility leads to blind spots that impact customer satisfaction.

Analytics 194

Analytics Monitoring Website Efficiency 194