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

The Clouds app provides a view of all available cloud-native services. Logs in context, along with other details, are instantly available after selecting a resource. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

OCTOBER 16, 2024

Kickstart your creation journey using ready-made dashboards and notebooks Creating dashboards and notebooks from scratch can take time, particularly when figuring out available data and how to best use it. This feature lets you explore any available metric and add it to Notebooks or Dashboards.

Social Media 263

Social Media Metrics Network Analytics 263

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

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

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

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

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

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

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

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

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

MAY 17, 2022

The application consists of several microservices that are available as pod-backed services. This gives us unified analytics views of node resources together with pod-level metrics such as container CPU throttling by node, which makes problem correlation much easier to analyze. The following example drives the point home.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

JANUARY 21, 2025

This is where Davis AI for exploratory analytics can make all the difference. Activate Davis AI to analyze charts within seconds Davis AI can help you expand your dashboards and dive deeper into your available data to extract additional information.

Traffic 262

Traffic Metrics Analytics Monitoring 262

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 166

Tuning Latency Efficiency Storage 166

Dynatrace

NOVEMBER 27, 2024

Sometimes, introducing new IT solutions is delayed or canceled because a single business unit can’t manage the operating costs alone, and per-department cost insights that could facilitate cost sharing aren’t available. Figure 4: Set up an anomaly detector for peak cost events.

Strategy 246

Strategy Best Practices Cloud Efficiency 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

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

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

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

OCTOBER 3, 2024

The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability. Note that the work doesn’t get reduced. Want to learn more about all nine use cases?

Availability 278

Availability DevOps Analytics Cloud 278

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

JULY 24, 2024

Dynatrace Smartscape® technology provides all data in context to simplify analytics and problem detection by semantically mapping metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services. Dynatrace observability is available for Red Hat OpenShift on IBM Power.

Availability 279

Availability Infrastructure Metrics Hardware 279

Dynatrace

JANUARY 15, 2025

Vulnerabilities is our Dynatrace Runtime Vulnerability Analytics platform experience for detecting, visualizing, analyzing, monitoring, and remediating vulnerabilities across your application stack. Workflows can be triggered manually, on a schedule, or by events in Dynatrace, such as anomalies detected by Davis AI.

Systems 264

Systems DevOps Analytics Monitoring 264

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

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 246

Infrastructure Availability Systems Retail 246

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. Now, that same full-spectrum value is available at the massive scale of the Dynatrace Grail data lakehouse.

Analytics 246

Analytics Innovation Metrics Database 246

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

SEPTEMBER 27, 2024

Extracting business events from logs enables an end-to-end view of the ordering process Benefits of capturing business events Logs often contain valuable insights into your business; however, this information can be difficult to process, particularly as you probably only need data from some specific log lines.

Processing 263

Processing Retail Analytics Monitoring 263

Dynatrace

MAY 16, 2019

With this Dynatrace release, we’ve further improved the capabilities of your alerting profiles to allow you to define more fine-grained filtering options based on the event types within correlated problems. Custom event types include events that originate from plugins, APIs, or Log Analytics.

Analytics 153

Analytics Availability Efficiency Processing 153

CSS Wizardry

JUNE 30, 2023

Load and DOMContentLoaded are internal browser events—your users have no idea what a Load time even is. Equally, both DOMContentLoaded and Load aren’t just meaningless browser events, and once you understand what they actually signify, you can get some real insights as to your site’s runtime behaviour from each of them. That’s late!

Metrics 337

Metrics Google Code Monitoring 337

Dynatrace

SEPTEMBER 5, 2024

Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times. Dynatrace natively supports Syslog using ActiveGate (preferred method) or the OpenTelemetry (OTel) collector.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

MARCH 12, 2024

If you can collect the relevant data (and that’s a big if), the problem shifts to analytics. Connecting data from different systems, stitching process steps together, calculating delays between steps, alerting on business exceptions and technical issues, and tracking SLOs are just some of the requirements for an effective analytics solution.

Processing 279

Processing Monitoring Analytics C++ 279

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290