Analysis, Analytics and Metrics - Technology Performance Pulse

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

JANUARY 17, 2023

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics

Analytics Metrics Open Source Java

Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

JANUARY 2, 2025

This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Beyond predicting future states, we use the state machine for sensitivity analysis to find which transition rates most impact MAA.

Analytics

Analytics Engineering Games Entertainment

OpenPipeline: Simplify access to critical business data

Dynatrace

NOVEMBER 4, 2024

Metadata enrichment improves collaboration and increases analytic value. The Dynatrace® platform continues to increase the value of your data — broadening and simplifying real-time access, enriching context, and delivering insightful, AI-augmented analytics. Our Business Analytics solution is a prominent beneficiary of this commitment.

Analytics

Analytics Airlines Metrics Monitoring

How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

OCTOBER 23, 2024

My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Google or Adobe Analytics).

Analytics

Analytics Logistics IoT Mobile

HTTP monitors on the latest Dynatrace platform extend insights into the health of your API endpoints and simplify test management

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. This allows you to build customized visualizations with Dashboards or perform in-depth analysis with Notebooks.

Monitoring

Monitoring Testing Metrics Analytics

Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

OCTOBER 16, 2024

You can now: Kickstart your creation journey using ready-made dashboards Accelerate your data exploration with seamless integration between apps Start from scratch with the new Explore interface Search for known metrics from anywhere Let’s look at each of these paths through an end-to-end use case focused on Kubernetes monitoring.

Social Media

Social Media Metrics Network Analytics

Dynatrace joins the Microsoft Intelligent Security Association

Dynatrace

NOVEMBER 20, 2024

They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues. Using high-fidelity metrics, traces, logs, and user data mapped to a unified entity model, organizations enjoy enhanced automation and broader, deeper security insights into modern cloud environments.

Best Practices

Best Practices Innovation Azure Cloud

Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis.

Analytics

Analytics Artificial Intelligence Storage Serverless

Extract metrics from business events to increase the value of business analytics

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads.

Analytics

Analytics Metrics DevOps Storage

Unlock the power of contextual log analytics

Dynatrace

OCTOBER 2, 2024

Dynatrace Grail™ and Davis ® AI act as the foundation, eliminating the need for manual log correlation or analysis while enabling you to take proactive action. This shortens root cause analysis dramatically, as explained in our recent blog post Full Kubernetes logging in context from Fluent Bit to Dynatrace.

Analytics

Analytics AWS DevOps Cloud

Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

JANUARY 21, 2025

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. This is where Davis AI for exploratory analytics can make all the difference. Your trained eye can interpret them at a glance, a skill that sets you apart.

Traffic

Traffic Metrics Analytics Monitoring

Digital Business Analytics: Let’s get started!

Dynatrace

FEBRUARY 25, 2020

We introduced 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. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics

Analytics Metrics Servers Best Practices

Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics

Metrics Analytics Storage Monitoring

Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

NOVEMBER 18, 2024

Dynatrace Davis® AI uses a three-tiered AI approach, which combines predictive, causal, and generative AI to provide customers with precise root cause analysis and deep insights into their environments and workloads. At Dynatrace, AI is at the heart of everything we do.

Cloud

Cloud Azure Artificial Intelligence Innovation

The keys to selecting a platform for end-to-end observability

Dynatrace

DECEMBER 2, 2024

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. With AIOps, it is possible to detect anomalies automatically with root-cause analysis and remediation support.

Artificial Intelligence

Artificial Intelligence DevOps Architecture Cloud

Monitoring GitHub-hosted runners with Dynatrace

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

Monitoring DevOps Metrics Virtualization

Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

OCTOBER 10, 2024

Good visualizations are not just static, unintelligent data presentations; they enable interaction and ideally serve as a starting point for subsequent analysis. The Dynatrace Notebooks and Dashboards apps are the perfect starting point for visualizing and understanding your data for monitoring or in-depth analysis.

Latency

Latency Infrastructure Monitoring Metrics

Effective Log Data Analysis With Amazon CloudWatch: Harnessing Machine Learning

DZone

FEBRUARY 5, 2024

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. One of the latest advancements in effectively analyzing a large amount of logging data is Machine Learning (ML) powered analytics provided by Amazon CloudWatch.

Analytics

Analytics Innovation Strategy Efficiency

Unlock log analytics: Seamless insights without writing queries

Dynatrace

MAY 28, 2024

What about correlated trace data, host metrics, real-time vulnerability scanning results, or log messages captured just before an incident occurs? Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. This context is vital to understanding issues.

Analytics

Analytics Infrastructure Database Monitoring

AI techniques enhance and accelerate exploratory data analytics

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. Another hurdle is mistaking easy patterns as effective analysis, according to an article in the Harvard Data Science Review.

Analytics

Analytics Metrics Media Monitoring

Why log monitoring and log analytics matter in a hyperscale world

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. “Logging” is the practice of generating and storing logs for later analysis. What is log analytics? Dynatrace news.

Analytics

Analytics Monitoring DevOps Artificial Intelligence

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

DECEMBER 18, 2020

Agentless RUM, OpenKit, and Metric ingest to the rescue! Now we have performance and errors all covered: Business Analytics. What insights can we gain from usage metrics that we can feed-back to our product management teams? Digital Business Analytics can help answer those questions. App architecture. BizOpsConfigurator.

Analytics

Analytics Metrics IoT Monitoring

The top four log analytics and log management best practices

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

Best Practices Analytics Artificial Intelligence Infrastructure

Helping customers unlock the Power of Possible

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? The result?

Innovation

Innovation Strategy Cloud AWS

Real-time business analytics with Dynatrace: Unleashing the treasure trove of insights from your observability data

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

Analytics Latency Processing Systems

Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics

Analytics Open Source Serverless Architecture

Five best practices to get the most out of customer experience analytics

Dynatrace

SEPTEMBER 27, 2023

What is customer experience analytics: Fostering data-driven decision making In today’s customer-centric business landscape, understanding customer behavior and preferences is crucial for success. The data should cover both quantitative metrics (e.g., Embrace advanced analytics techniques to unlock deeper insights.

Best Practices

Best Practices Analytics Strategy Monitoring

What is log analytics? How a modern observability approach provides critical business insight

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. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis. Dynatrace news.

Analytics

Analytics Storage Retail DevOps

What is log analytics? How a modern observability approach provides critical business insight

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. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis. Dynatrace news.

Analytics

Analytics Storage Retail DevOps

What is behavior analytics?

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

Analytics Social Media Website IoT

What is Business Analytics? How connecting IT to business improves business outcomes

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics

Analytics Ecommerce Metrics Innovation

How unified data and analytics offers a new approach to software intelligence

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

Analytics Software Software Storage

Conducting log analysis with an observability platform and full data context

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics

Analytics Infrastructure Storage Architecture

Simplify observability for all your custom metrics (Part 4: Prometheus)

Dynatrace

JANUARY 12, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. Analyzing Prometheus metrics in Kubernetes is challenging. Unlocking the power of Prometheus metrics.

Metrics

Metrics Open Source Monitoring Analytics

Dynatrace unveils Security Analytics to elevate threat detection, forensics, and incident response

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans.

Analytics

Analytics Metrics Database Storage

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. 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.

Analytics

Analytics Innovation Metrics Database

What is observability? Not just logs, metrics and traces

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. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics

Metrics Open Source Monitoring Cloud

Automatic connection of logs and traces accelerates AI-driven cloud analytics

Dynatrace

NOVEMBER 18, 2021

Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. How to get started.

Analytics

Analytics Cloud Java Serverless

Upgrade to the Data explorer to level up your data visualizations and analysis

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? We believe that the two worlds of automated (AIOps) and manual (dashboards) data analytics are complementary rather than contradictory. Why today’s data analytics solutions still fail us.

Metrics

Metrics Analytics Monitoring Efficiency

Analytics at Netflix: Who we are and what we do

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics

Analytics Engineering Data Engineering Tuning

Deliver secure, safe, and trustworthy GenAI applications with Amazon Bedrock and Dynatrace

Dynatrace

MARCH 12, 2025

Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails. Guardrail analysis: Detect hallucinations, track prompt injections, mitigate PII leakage, and ensure brand-safe outputs.

Metrics

Metrics Serverless Analytics Innovation

Unified observability delivers deeper insights with AI-driven analytics and automation

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. A visual representation of what Davis uses for its own analysis. An overview of the Dynatrace unified observability and security platform.

Analytics

Analytics Artificial Intelligence Engineering Technology

OpenTelemetry services analysis and endpoint detection made easier with Dynatrace unified services

Dynatrace

JANUARY 4, 2024

Great news: OpenTelemetry endpoint detection, analyzing OpenTelemetry services, and visualizing Istio service mesh metrics just got easier. As a CNCF open source incubating project, OpenTelemetry provides a standardized set of APIs, libraries, agents, instrumentation, and specifications for logging, metrics, and tracing.

Metrics

Metrics Open Source Tuning Infrastructure

Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. It has undergone security analysis and testing in accordance with AWS requirements.

AWS

AWS Metrics Analytics Government

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Part 2: A Survey of Analytics Engineering Work at Netflix

Trending Sources

OpenPipeline: Simplify access to critical business data

How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

HTTP monitors on the latest Dynatrace platform extend insights into the health of your API endpoints and simplify test management

Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace joins the Microsoft Intelligent Security Association

Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Extract metrics from business events to increase the value of business analytics

Unlock the power of contextual log analytics

Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Digital Business Analytics: Let’s get started!

Intelligent, context-aware AI analytics for all your custom metrics

Microsoft Ignite 2024 guide: Cloud observability for AI transformation

The keys to selecting a platform for end-to-end observability

Monitoring GitHub-hosted runners with Dynatrace

Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Effective Log Data Analysis With Amazon CloudWatch: Harnessing Machine Learning

Unlock log analytics: Seamless insights without writing queries

AI techniques enhance and accelerate exploratory data analytics

Why log monitoring and log analytics matter in a hyperscale world

DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

The top four log analytics and log management best practices

Helping customers unlock the Power of Possible

Real-time business analytics with Dynatrace: Unleashing the treasure trove of insights from your observability data

Dynatrace extends contextual analytics and AIOps for open observability

Five best practices to get the most out of customer experience analytics

What is log analytics? How a modern observability approach provides critical business insight

What is log analytics? How a modern observability approach provides critical business insight

What is behavior analytics?

What is Business Analytics? How connecting IT to business improves business outcomes

How unified data and analytics offers a new approach to software intelligence

Conducting log analysis with an observability platform and full data context

Simplify observability for all your custom metrics (Part 4: Prometheus)

Dynatrace unveils Security Analytics to elevate threat detection, forensics, and incident response

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

What is observability? Not just logs, metrics and traces

Automatic connection of logs and traces accelerates AI-driven cloud analytics

Upgrade to the Data explorer to level up your data visualizations and analysis

Analytics at Netflix: Who we are and what we do

Deliver secure, safe, and trustworthy GenAI applications with Amazon Bedrock and Dynatrace

Unified observability delivers deeper insights with AI-driven analytics and automation

OpenTelemetry services analysis and endpoint detection made easier with Dynatrace unified services

Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics

Stay Connected