Dynatrace

FEBRUARY 6, 2025

Welcome, data enthusiasts! Whether you’re a seasoned IT expert or a marketing professional looking to improve business performance, understanding the data available to you is essential. In this blog series, we’ll guide you through creating powerful dashboards that transform complex data into actionable insights.

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Metrics Infrastructure Monitoring Best Practices 243

Dynatrace

MAY 17, 2022

By taking advantage of native Kubernetes standards, Dynatrace Cloud Native Full Stack injection empowers you to precisely provide the data that your teams need in exceptionally fast and automated ways. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments.

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Availability Scalability Cloud Metrics 348

Dynatrace

NOVEMBER 20, 2024

Through this integration, Dynatrace enriches data collected by Microsoft Sentinel to provide organizations with enhanced data insights in context of their full technology stack. This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation. Audit logs.

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Best Practices Innovation Azure Cloud 299

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.

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Analytics Metrics Open Source Java 321

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

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Metrics Lambda Infrastructure Monitoring 246

Dynatrace

OCTOBER 14, 2024

ABAC has several advantages: Enhanced security , providing granular control over access permissions, significantly reducing the risk of data breaches and unauthorized activities. High granularity by segmenting resource and record-level data, ensuring that access decisions are precise and context-aware.

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Monitoring Metrics Systems Scalability 246

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. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

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Dynatrace

JULY 15, 2024

As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. Our script, available on GitHub , provides details. into NAM test definitions.

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Dynatrace

JANUARY 21, 2025

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. However, your responsibilities might change or expand, and you need to work with unfamiliar data sets. Your trained eye can interpret them at a glance, a skill that sets you apart.

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Traffic Metrics Analytics Monitoring 262

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. All metrics, traces, and real user data are also surfaced in the context of specific events.

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Metrics Analytics Software Architecture Open Source 245

Dynatrace

NOVEMBER 18, 2024

AI transformation, modernization, managing intelligent apps, safeguarding data, and accelerating productivity are all key themes at Microsoft Ignite 2024. Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies.

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Dynatrace

JULY 24, 2024

IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications.

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Availability Infrastructure Metrics Hardware 279

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

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Analytics Storage Infrastructure Metrics 264

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

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Metrics Network Monitoring Infrastructure 286

Dynatrace

MARCH 5, 2025

Cloud service providers (CSPs) share carbon footprint data with their customers, but the focus of these tools is on reporting and trending, effectively targeting sustainability officers and business leaders. The certification results are now publicly available. Today, Carbon Impact has a new name: Cost & Carbon Optimization.

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Energy Analytics Traffic Cloud 223

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

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Metrics Analytics Monitoring Efficiency 264

Dynatrace

AUGUST 12, 2024

The addition of more and more metrics over time has only made this increasingly complex. As a result, it’s challenging to get business and resources focused on performance and error optimization without supporting data that shows how those optimizations will impact your organization’s financial outcomes.

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Airlines Metrics Speed Internet 290

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

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Metrics Java Latency Cache 246

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).

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Infrastructure Availability Systems Retail 246

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. Automation, however, should not be done in isolation of tech.

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Availability DevOps Analytics Cloud 278

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Both methods allow you to ingest and process raw data and metrics. The ADS-B protocol differs significantly from web technologies.

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IoT Analytics Transportation Metrics 264

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

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Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 245

Metrics Engineering Energy Tuning 245

The Netflix TechBlog

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

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Processing Transportation Entertainment Tuning 273

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. However, there are many obstacles and limitations along the way to becoming a data-driven organization. Understanding the context.

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Analytics Processing Transportation Storage 272

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. They also need a high-performance, real-time analytics platform to make that data actionable.

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Cloud Lambda AWS Analytics 279

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

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Analytics Metrics Media Monitoring 246

Dynatrace

MARCH 13, 2025

In this example, well deploy the OpenTelemetry demo application to send telemetry directly to Dynatrace using OTLP so you can see how Dynatrace presents the OTel data without the additional context OneAgent provides. The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.)

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Open Source Metrics Architecture Infrastructure 147

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. Tables are a physical data model, essentially the type of observability data that you can store.

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Artificial Intelligence Metrics Analytics Storage 279

The Netflix TechBlog

FEBRUARY 14, 2025

Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. This nuanced integration of data and technology empowers us to offer bespoke content recommendations. This queue ensures we are consistently capturing raw events from our global userbase.

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Tuning Latency Efficiency Storage 166

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable.

Metrics 245

Metrics Open Source Traffic Cache 245

Dynatrace

NOVEMBER 3, 2023

While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0

Technology 264

Technology Technology Scalability Availability 264

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

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Government Analytics Benchmarking Storage 263

Dynatrace

MARCH 31, 2025

Welcome back to our power dashboarding blog series , data enthusiasts! You can either continue with the custom infrastructure metrics dashboard you created in Part I or use the dashboard we prepared here (Dynatrace login required). exploring your data when you know your desired outcome but are unfamiliar with the available data.

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Metrics Infrastructure Network Best Practices 147

Dynatrace

NOVEMBER 3, 2023

It also requires agencies to develop digital experiences that are user-centric and data-driven. When combined, key metrics will generate an accurate CX index score. But which metrics should your agency include? But which metrics should your agency include? Abandonment rate and data.

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Metrics Government Website Monitoring 246

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

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