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 234

Analytics Retail Storage Monitoring 234

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 201

Analytics Processing Transportation Storage 201

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 239

Analytics Social Media Metrics Efficiency 239

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 278

Database Artificial Intelligence Metrics Monitoring 278

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Because events in cloud-native environments take place instantaneously, and there is so much data to digest, IT and operations teams often can’t identify problems before customers experience them.

Analytics 130

Analytics Storage Cloud DevOps 130

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

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 218

Analytics Monitoring Artificial Intelligence DevOps 218

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, 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

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

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 191

Infrastructure Availability Systems Retail 191

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 260

Processing Monitoring Analytics C++ 260

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 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 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 325

Availability Scalability Cloud Metrics 325

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. They also need a high-performance, real-time analytics platform to make that data actionable. Now, you can set up your Firehose stream.

Cloud 261

Cloud Lambda AWS Analytics 261

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

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 229

Metrics Analytics Monitoring Cloud 229

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

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. Running an initial quantitative analysis helps to better understand the log data, starting with which SaaS applications we are getting logs from, and how many events. You are all set!

AWS 253

AWS Analytics Government Monitoring 253

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

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 269

Artificial Intelligence Analytics Metrics Storage 269

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. That’s where causal AI can help. Causal AI is particularly effective in observability.

Government 209

Government Analytics Benchmarking Storage 209

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

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 117

Analytics Efficiency Availability Processing 117

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 326

Metrics Google Monitoring Analytics 326

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 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 231

Analytics Storage Infrastructure Metrics 231

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

JUNE 27, 2023

Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events. Dynatrace Log Management and Analytics powered by Grail enables you to get answers from logs with any query at any time. Many AWS services and third party solutions use AWS S3 for log storage.

AWS 208

AWS Cloud Lambda Analytics 208

Dynatrace

JULY 11, 2023

This enables unified observability because logs are indispensable for troubleshooting apps, monitoring infrastructure, auditing or investigating security incidents, tracking business events, and many other use cases. The same API is also available for Log Monitoring Classic for Dynatrace Managed deployments (via an Environment ActiveGate).

Open Source 223

Open Source Analytics Metrics Cloud 223

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Systems 193

Systems Cloud Analytics DevOps 193

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 212

DevOps Metrics Engineering Analytics 212

Dynatrace

MARCH 6, 2024

Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making. It lets us see events such as starts and traces in a standardized manner.”

Engineering 249

Engineering Development DevOps Infrastructure 249

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights. This AI also triggers automated remediation actions.

Best Practices 239

Best Practices Analytics Metrics Code 239

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