Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 264

Analytics Network Open Source Hardware 264

Dynatrace

OCTOBER 23, 2024

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform. Google or Adobe Analytics).

Analytics 286

Analytics Logistics IoT Mobile 286

Dynatrace

FEBRUARY 4, 2025

Its AI-driven exploratory analytics help organizations navigate modern software deployment complexities, quickly identify issues before they arise, shorten remediation journeys, and enable preventive operations. AI-driven analytics transform data analysis, making it faster and easier to uncover insights and act.

Analytics 130

Analytics Efficiency DevOps Innovation 130

Dynatrace

JANUARY 17, 2023

Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.

Analytics 321

Analytics Metrics Open Source Java 321

Dynatrace

OCTOBER 2, 2024

This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries. Using patent-pending high ingest stream-processing technologies, OpenPipeline currently optimizes data for Dynatrace analytics and AI at 0.5 Advanced analytics are not limited to use-case-specific apps.

Analytics 304

Analytics AWS DevOps Cloud 304

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. All metrics and events storing information about execution details are available for further exploratory analytics utilizing Dashboards, Notebooks, or Davis CoPilot.

Monitoring 246

Monitoring Testing Metrics Analytics 246

Dynatrace

NOVEMBER 20, 2024

The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues.

Best Practices 299

Best Practices Innovation Azure Cloud 299

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

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

MAY 28, 2024

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. Open a host, cluster, cloud service, or database view in one of these apps, and you immediately see logs alongside other relevant metrics, processes, SLOs, events, vulnerabilities, and data offered by the app.

Analytics 267

Analytics Infrastructure Database Cloud 267

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

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

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? This diagram shows a few examples of business events.

Analytics 246

Analytics Retail Storage Monitoring 246

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. Discovery using global search.

Analytics 246

Analytics Metrics Media Monitoring 246

Dynatrace

MAY 5, 2021

In fact, for most of us, has become a priority, requiring us to expand our focus on observability to include business analytics metrics. You get a call from a business partner claiming users are abandoning the purchase funnel (or quote form, or payment journey, or event registration) at an alarming rate. Below is the survey summary.

Analytics 246

Analytics Metrics Engineering Design 246

Dynatrace

AUGUST 9, 2023

With up to 70% of security events going uninvestigated, security analysts need all the help they can get. After a security event, many organizations often don’t know for months (or even years) when why or how it happened. But this limited approach causes challenges in today’s hybrid multicloud reality.

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

MARCH 11, 2020

In many cases, events are generated as these workloads go through different phases of their life cycles. For instance, events appear when the scheduler performs actions to bring workloads back to a desired state. For better or worse, every Kubernetes user learns about the CrashLoopBackOff and ImagePullBackOff events.

Metrics 277

Metrics Analytics Monitoring Cloud 277

Dynatrace

DECEMBER 2, 2024

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

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. Event severity.

Analytics 246

Analytics Software Software Storage 246

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

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

Dynatrace

AUGUST 9, 2023

Not only that, teams struggle to correlate events and alerts from a wide range of security tools, need to put them into context, and infer their risk for the business. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 246

Analytics AWS Infrastructure Strategy 246

Dynatrace

AUGUST 29, 2024

This information is essential for later advanced analytics and aircraft tracking. They provide detailed information that, when sent to Dynatrace, enables data analytics and improved decision-making capabilities. 8998" Note the OpenTelemetry processor log attributes log.source and opentelemetry-iot-dump1090-collector.

IoT 264

IoT Analytics Transportation Metrics 264

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

JANUARY 22, 2025

That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines. Once the data is formatted, it is ingested into Dynatrace Business Analytics using the Dynatrace SDK. Let’s explore some of the advantages of monitoring GitHub runners using Dynatrace.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. Business data often lacks IT context, which prevents effective BizOps collaboration.

Database 246

Database Metrics Retail Analytics 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. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes? What is business analytics? Why business analytics matter.

Analytics 245

Analytics Ecommerce Metrics Innovation 245

Dynatrace

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

JANUARY 12, 2022

An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

SEPTEMBER 8, 2023

There are three high-level steps to set up the database business-event stream. Step-by-step: Set up a custom MySQL database extension Now we’ll show you step-by-step how to create a custom MySQL database extension for querying and pushing business data to the Dynatrace business events endpoint. Don’t rename the file.

Database 290

Database Artificial Intelligence Metrics Monitoring 290

Dynatrace

OCTOBER 16, 2024

This app provides advanced analytics, such as highlighting related surrounding traces and pinpointing the root cause, as illustrated in the example below.

Social Media 263

Social Media Metrics Network Analytics 263

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?

Innovation 288

Innovation Cloud Strategy AWS 288

Dynatrace

JANUARY 21, 2025

This is where Davis AI for exploratory analytics can make all the difference. The following example will monitor an end-to-end order flow utilizing business events displayed on a Dynatrace dashboard. Davis AI is particularly powerful because it can be applied to any numeric time series chart independently of data source or use case.

Traffic 262

Traffic Metrics Analytics Monitoring 262

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. Predictive AI, meanwhile, makes predictions about future events based on patterns from historical data. This is Davis CoPilot.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

The Netflix TechBlog

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. Collecting Raw Impression Events As Netflix members explore our platform, their interactions with the user interface spark a vast array of raw events.

Tuning 165

Tuning Latency Efficiency Storage 165

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. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 246

Analytics Innovation Metrics Database 246