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 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. With Dynatrace and Smartscape for DQL, metrics are a completely different game.

Analytics 264

Analytics Social Media Metrics Design 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

AUGUST 29, 2024

As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. Both methods allow you to ingest and process raw data and metrics.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s 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. Only with Dynatrace Digital Busines Analytics.

Analytics 250

Analytics Artificial Intelligence Metrics Design 250

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. The architects and developers who create the software must design it to be observed. Why is it important, and what can it actually help organizations achieve?

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JANUARY 22, 2025

This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics. This customization ensures that only the relevant metrics are extracted, tailored to the users needs. This customization ensures that only the relevant metrics are extracted, tailored to the users needs.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

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. With Dynatrace Business Analytics , you know in real-time when business KPIs–conversions, quotes, payments, registrations, purchases, etc.–degrade. Below is the survey summary.

Analytics 246

Analytics Metrics Engineering Design 246

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.

Analytics 246

Analytics Software Software Storage 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.

Games 165

Games Analytics Innovation Metrics 165

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

MARCH 29, 2023

Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.

Google 246

Google Metrics Cloud Analytics 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 2, 2021

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.

Metrics 246

Metrics Analytics Google Code 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.

Latency 147

Latency Analytics Architecture Storage 147

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 24, 2025

Regardless of their role, every business process is designed to improve business outcomes. But even the best BPM solutions lack the IT context to support actionable process analytics; this is the opportunity for observability platforms. These benefits come from robust process analytics, often augmented by AI.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns. Learn more.

Google 290

Google Innovation Cloud Analytics 290

Dynatrace

OCTOBER 3, 2024

Monitor your cloud OpenPipeline ™ is the Dynatrace platform data-handling solution designed to seamlessly ingest and process data from any source, regardless of scale or format. Furthermore, OpenPipeline is designed to collect and process data securely and in compliance with industry standards.

Cloud 299

Cloud Lambda AWS Analytics 299

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

DECEMBER 22, 2019

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor.

AWS 200

AWS Metrics IoT Storage 200

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. A data lakehouse addresses these limitations and introduces an entirely new architectural design.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

DZone

JUNE 11, 2023

Application logs and metrics are vital for any application development or maintenance process. However, managing and analyzing logs and metrics can be a daunting task, especially if the application generates a large volume of data. It stores data in a document-oriented index, offering fast search and analytics capabilities.

Metrics 147

Metrics Open Source Analytics Engineering 147

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Conclusion.

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 264

Open Source Metrics Analytics Tuning 264

Dynatrace

DECEMBER 22, 2019

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor.

AWS 182

AWS Metrics IoT Storage 182

Dynatrace

JULY 24, 2024

Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications. Dynatrace is designed to scale easily across the entire Kubernetes stack. You can automatically detect and analyze performance issues across your entire tech stack with Davis® AI.

Availability 279

Availability Infrastructure Metrics Hardware 279

Dynatrace

NOVEMBER 3, 2023

are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 We’ve added Python support to Extensions 2.0, Extensions 2.0

Technology 264

Technology Technology Scalability Availability 264

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 allows you to design data management and retention policies based on individual requirements, starting from days of retention up to a decade.

Analytics 246

Analytics Storage Infrastructure Metrics 246

Dynatrace

OCTOBER 8, 2020

Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). Fully integrated with existing Dynatrace capabilities for AWS Lambda, including metric ingestion via AWS Cloud Watch. Now let’s take a look how each of these advantages reveal themselves in Dynatrace.

Lambda 345

Lambda AWS Programming Serverless 345

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 246

DevOps Analytics Storage Metrics 246

Dynatrace

SEPTEMBER 27, 2024

Carbon Impact leverages business events , a special data type designed to support the real-time accuracy and long-term granularity demands common to business use cases. These metrics are automatically enriched with Smartscape® topology context, connecting them to their source systems to enable flexible and granular analysis.

Energy 246

Energy Infrastructure Cloud Best Practices 246

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 246

AWS Cloud Lambda Analytics 246

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. There is a default bucket for each table. Here is the list of tables and corresponding default buckets in Grail.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 279

Artificial Intelligence Serverless Analytics Innovation 279

Dynatrace

NOVEMBER 22, 2021

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. And why it matters. Amazon EC2.

Best Practices 246

Best Practices AWS Monitoring Serverless 246