Dynatrace

MARCH 5, 2025

To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. We implemented a wasted energy metric in the app to enhance practitioner actionability.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

NOVEMBER 20, 2024

This rising risk amplifies the need for reliable security solutions that integrate with existing systems. They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues. With Dynatrace, teams gain end-to-end observability and security across all workloads.

Best Practices 299

Best Practices Innovation Azure Cloud 299

Dynatrace

DECEMBER 18, 2024

Exploratory analytics now cover more bespoke scenarios, allowing you to access any element of test results stored in the Dynatrace Grail data lakehouse. But nowadays, with complex and dynamically changing modern IT systems, the last result details might not be enough in some cases.

Monitoring 246

Monitoring Testing Metrics Analytics 246

Dynatrace

NOVEMBER 18, 2024

The power of cloud observability Modernizing legacy systems can be challenging, and it’s important to do so with purpose—not just to modernize for its own sake. “It’s not the big that will eat the small, it’s the fast that will conquer the slow.” – Jay Snyder, SVP of Partners and Alliances at Dynatrace.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

Dynatrace

FEBRUARY 25, 2020

We introduced 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. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 286

Analytics Metrics Servers Best Practices 286

Dynatrace

JANUARY 21, 2025

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. This is where Davis AI for exploratory analytics can make all the difference. Forecasting can identify potential anomalies in node performance, helping to prevent issues before they impact the system.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. How do you make a system observable? Dynatrace news. Why is it important, and what can it actually help organizations achieve? What is observability?

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

AUGUST 20, 2024

Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Executives drive business growth through strategic decisions, relying on data analytics for crucial insights.

Analytics 285

Analytics Latency Processing Systems 285

Dynatrace

AUGUST 29, 2024

Agricultural businesses use IoT sensors to automate irrigation systems, while mining and water supply organizations traditionally rely on SCADA to optimize and monitor water distribution, quality, and consumption. Both methods allow you to ingest and process raw data and metrics.

IoT 264

IoT Analytics Transportation Metrics 264

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 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

OCTOBER 29, 2024

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. What’s behind it all? The result?

Innovation 288

Innovation Cloud Strategy AWS 288

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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. Leveraging existing APM agent and log monitoring capabilities made it reasonably easy to access certain business metrics and metadata to add to IT dashboards.

Analytics 264

Analytics Mobile Metrics Games 264

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 246

Analytics Metrics Media Monitoring 246

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 246

Analytics Social Media Website IoT 246

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Metrics, logs , and traces make up three vital prongs of modern observability. Comparing log monitoring, log analytics, and log management.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics 245

Analytics Ecommerce Metrics Innovation 245

Dynatrace

JANUARY 22, 2025

Enhanced observability and release validation Dynatrace already excels at delivering full-stack, end-to-end observability of your systems and user journeys. This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 246

Metrics Operating System Tuning Availability 246

Dynatrace

OCTOBER 10, 2024

Dynatrace unified analytics capabilities for observability are top-of-the-class ( Gartner Magic Quadrant 2024 ), enabling you to query and analyze all your observability data across your enterprise. That way, you can compare multiple charts more easily, regardless of the metric or time span.

Latency 246

Latency Infrastructure Monitoring Metrics 246

Dynatrace

DECEMBER 2, 2024

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. It also helps to have access to OpenTelemetry, a collection of tools for examining applications that export metrics, logs, and traces for analysis.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

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 264

Analytics Artificial Intelligence Storage Serverless 264

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 246

Analytics Storage Retail DevOps 246

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.

Analytics 165

Analytics Games Innovation Metrics 165

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 245

Analytics Storage Retail DevOps 245

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 243

Analytics Engineering Data Engineering Tuning 243

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 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

APRIL 4, 2025

Journald provides unified structured logging for systems, services, and applications, eliminating the need for custom parsing for severity or details. For forensic log analytics use cases, the Security Investigator app benefits from the scalability and analytics power of Dynatrace Grail.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

Dynatrace

JANUARY 12, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 257

Metrics Open Source Monitoring Analytics 257

Dynatrace

MARCH 12, 2025

Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails. Send unified data to Dynatrace for analysis alongside your logs, metrics, and traces.

Metrics 165

Metrics Serverless Analytics Innovation 165

Dynatrace

APRIL 10, 2025

However, when working with Kubernetes, its distributed and ephemeral nature means that logs are scattered across multiple nodes and pods, making it difficult to ensure that all logs are preserved, easily accessible, and enriched with necessary context for future analytics. Flexibly choose the level of observability you need.

Analytics 130

Analytics Metrics Monitoring Open Source 130

Dynatrace

NOVEMBER 18, 2021

Logs are a crucial component in the mix that help BizDevOps teams understand the full story of what’s happening in a system. Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. New to Dynatrace? If so, start your free trial today!

Analytics 246

Analytics Cloud Java Serverless 246

Dynatrace

FEBRUARY 24, 2025

Sometimes overlooked is a fourth category we might call long-tail processes; these are the ad hoc or custom workflows that develop in response to gaps between systems, applications, departments, or workflows. Regardless of their role, every business process is designed to improve business outcomes.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Bringing teams together around DevOps metrics made it easier for M&B to identify how it could create better digital experiences for its customers and optimize revenue. Dynatrace news. Beginnings of BizDevOps. Why stop at your own virtual walls? Mark asks. “To

DevOps 264

DevOps Metrics Virtualization Strategy 264

Dynatrace

FEBRUARY 6, 2025

Even if infrastructure metrics aren’t your thing, you’re welcome to join us on this creative journey simply swap out the suggested metrics for ones that interest you. For our example dashboard, we’ll only focus on some selected key infrastructure metrics. Click on Select metric. Change it now to sum.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

Dynatrace

FEBRUARY 12, 2024

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. The hypermodal AI engine shows what’s happening in a system down to the data coming in, while presenting the information in context. “It’s

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245