Dynatrace

JANUARY 31, 2024

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 201

Analytics Processing Transportation Storage 201

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 197

Analytics Artificial Intelligence Big Data Open Source 197

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 184

Analytics Ecommerce Metrics Innovation 184

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 223

Analytics Storage Retail Monitoring 223

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. Five constraints that limit insights from business analytics data. Digital businesses rely on real-time business analytics data to make agile decisions.

Analytics 198

Analytics Strategy Storage Technology 198

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

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. For example, cloud operations professionals can identify problems before they affect users.

Analytics 130

Analytics Storage Cloud DevOps 130

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

MAY 17, 2022

Onboarding teams using self-service Kubernetes selectors is one of the best examples of how Dynatrace embraces cloud native technologies to increase automation, reduce bureaucracy, and encourage agility. The following example drives the point home. Embracing cloud native best practices to increase automation. Putting it all together.

Availability 325

Availability Scalability Cloud Metrics 325

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 190

Analytics Storage Retail Monitoring 190

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 220

Mobile Analytics Best Practices Software Engineering 220

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. Dynatrace news. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 195

Analytics Systems DevOps Healthcare 195

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 195

Analytics Innovation Metrics Database 195

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. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 261

Cloud Lambda AWS Analytics 261

Dynatrace

NOVEMBER 18, 2021

By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting. The example below includes analysis of a payment issue.

Analytics 231

Analytics Cloud Java Serverless 231

Dynatrace

MAY 21, 2024

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant.

Technology 210

Technology Technology Analytics Storage 210

Dynatrace

FEBRUARY 9, 2021

How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics. Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 215

Analytics Mobile Performance Monitoring 215

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. If you can collect the relevant data (and that’s a big if), the problem shifts to analytics.

Processing 260

Processing Monitoring Analytics C++ 260

Dynatrace

MAY 5, 2020

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. Google Analytics.

Analytics 150

Analytics Metrics Google Tuning 150

Dynatrace

JULY 11, 2023

Having all data in context tremendously simplifies analytics and problem detection. It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of the monitoring infrastructure.

Architecture 176

Architecture Availability Infrastructure Monitoring 176

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. In the screenshot below you can see an example of such a request attribute.

Analytics 140

Analytics Mobile Airlines Monitoring 140

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics 222

Analytics Storage Infrastructure Metrics 222

Dynatrace

MAY 23, 2024

With the AI-powered Dynatrace platform now generally available on Azure, Azure Native Dynatrace Service customers can now leverage the full AI power of the Dynatrace platform directly from Azure. Notebooks offers advanced Azure observability analytics with DQL. Dashboards leverages the power of DQL for Azure monitoring in one place.

Azure 207

Azure Cloud Metrics Innovation 207

Dynatrace

JUNE 18, 2019

For example, I’ll get asked “We are using Adobe Analytics/Omniture SiteCatalyst , would we retire this when we use Dynatrace?” The only exception to this would be if you have Adobe Analytics for the sole purpose of understanding geographically where your users are coming from. Configure capturing of the Adobe Analytics pageName.

Analytics 141

Analytics Cloud Website Monitoring 141

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 270

Artificial Intelligence DevOps Analytics Engineering 270

Dynatrace

OCTOBER 6, 2023

For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes. In conjunction with the previous example of keeping high-volume and short-lived logs separate, you might also need to keep your application data longer. Now, let’s take a look at a query example that puts this all into use.

Artificial Intelligence 269

Artificial Intelligence Analytics Metrics Storage 269

Dynatrace

NOVEMBER 17, 2020

In this example you can see on the left side that the Envoy payment service is running on a Linux host, deployed in the Google cloud. PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments. In this specific example these are embedded into a custom GoLang application.

Analytics 161

Analytics Technology Technology Cloud 161

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. This feature is readily available on both the Dynatrace tenant and Environment ActiveGate. Dynatrace OneAgent has an internal mechanism that ingests only necessary log data.

Serverless 230

Serverless Analytics AWS Azure 230

Dynatrace

MARCH 18, 2024

Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately. In open source tradition, the Dynatrace OTel Collector distribution is free and available for everyone.

Scalability 273

Scalability Open Source Analytics Innovation 273

Dynatrace

APRIL 26, 2023

The example below shows how the reactive approach can be transformed into a scheduled, predictive capacity management model. The screenshot below shows a section of an example notebook that plots the average percentage of free disk space over the last 7 days. Select any line in the chart to display the available actions for that line.

Games 221

Games Analytics Strategy Cloud 221

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

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 195

Artificial Intelligence Analytics Efficiency Database 195

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 276

Artificial Intelligence Analytics Storage Architecture 276

Dynatrace

JULY 25, 2023

This expansion of Davis AI complements the proven Dynatrace predictive AI model (for example, forecasting and anomalies) and our causal AI model (for example, determination of a problem’s root cause, security risks, user impact, and steering automation), which are at the core of the Dynatrace platform. Start your free trial now!

Best Practices 239

Best Practices Analytics Metrics Code 239

Dynatrace

MARCH 27, 2024

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. For example, some SaaS applications include the user’s IP Address and Country on their audit logs. Note that AWS AppFabric is available in the US East (N.

AWS 253

AWS Analytics Government Monitoring 253

Dynatrace

JANUARY 31, 2024

At its core, data observability is about ensuring the availability, reliability, and quality of data. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Solution : Like the freshness example, Dynatrace can monitor the record count over time.

DevOps 201

DevOps Analytics Airlines Metrics 201

Dynatrace

AUGUST 2, 2021

But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. Often referred to as calculated metrics (see Adobe Analytics and Google Analytics ), such metric processing takes one or more existing metrics as input to create a new user-defined metric. Dynatrace news.

Metrics 246

Metrics Analytics Google Code 246