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. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.

Metrics 363

Metrics Open Source Monitoring Cloud 363

The Netflix TechBlog

FEBRUARY 3, 2021

By Paul Bakker and Kavitha Srinivasan , Images by David Simmer , Edited by Greg Burrell Netflix has developed a Domain Graph Service (DGS) framework and it is now open source. This framework was initially intended to be internal only, focusing on integration with the Netflix ecosystem for tracing, logging, metrics, etc.

Open Source 246

Open Source Java Architecture Metrics 246

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 321

Analytics Metrics Open Source Java 321

Dynatrace

MARCH 15, 2024

As organizations strive for observability and data democratization, OpenTelemetry emerges as a key technology to create and transfer observability data. This collector, fully supported and maintained by Dynatrace, is entirely open source. A collector helps developers control their telemetry data streams for each signal.

Open Source 306

Open Source Best Practices Infrastructure Tuning 306

Dynatrace

OCTOBER 10, 2024

Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. You’re gathering a lot of data, but you can’t make sense of it. A histogram is a specific type of metric that allows users to understand the distribution of data points over a period of time.

Metrics 240

Metrics Monitoring Efficiency Availability 240

Alex Podelko

SEPTEMBER 8, 2020

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. Otherwise we wouldn’t see so many commercial tools built on the top of open source including BlazeMeter (it is ironic that the article is posted on the BlazeMeter site), Flood, and OctoPerf. How do you answer that?

Open Source 223

Open Source Performance Testing Testing Performance 223

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.

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

FEBRUARY 13, 2025

OpenTelemetry (OTel) is an open source framework for generating, ingesting, transforming, and exporting telemetry data. Backed by most of the industrys major observability vendors, OpenTelemetry has become one of the CNCF s most active open source projects, second only to Kubernetes. And why shouldnt we?

Open Source 173

Open Source Metrics Engineering 173

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.

Metrics 245

Metrics Analytics Software Architecture Open Source 245

Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 214

Metrics Open Source Lambda Serverless 214

Dynatrace

MARCH 13, 2025

OpenTelemetry Astronomy Shop is a demo application created by the OpenTelemetry community to showcase the features and capabilities of the popular open-source OpenTelemetry observability standard. The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.)

Open Source 147

Open Source Metrics Architecture Infrastructure 147

Dynatrace

NOVEMBER 16, 2021

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 246

Metrics Infrastructure Open Source Database 246

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. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 257

Metrics Open Source Monitoring Analytics 257

Dynatrace

FEBRUARY 13, 2025

Those in the observability space are no strangers to OpenTelemetry (OTel) , a vendor-neutral, open source project of the Cloud Native Computing Foundation (CNCF). Since its inception, it has become one of the CNCFs most active open source projects second only to Kubernetes. Does Dynatrace support OpenTelemetry metrics?

Open Source 147

Open Source Metrics C++ Java 147

Dynatrace

NOVEMBER 3, 2020

Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.

Metrics 237

Metrics Open Source Monitoring Traffic 237

Dynatrace

APRIL 7, 2022

To remain flexible in observing all technologies used in their organization, some companies choose open-source solutions, which allow them to stay vendor-neutral. 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.

Metrics 246

Metrics Java Latency Cache 246

Dynatrace

FEBRUARY 3, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. Part 2 showed how to run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 240

Metrics Open Source Monitoring Technology 240

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. Dynatrace offers a feature-rich agent, Dynatrace OneAgent ® , and an agentless open source approach perfectly tailored for edge-IoT use cases, leveraging OpenTelemetry.

IoT 264

IoT Analytics Transportation Metrics 264

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. What is Prometheus?

Metrics 245

Metrics Engineering Energy Tuning 245

Dynatrace

NOVEMBER 23, 2020

To ensure observability, the open source CNCF project OpenTelemetry aims at providing a standardized, vendor-neutral way of pre-instrumenting libraries and platforms and annotating UserLAnd code. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 200

Metrics Open Source Tuning Analytics 200

Dynatrace

OCTOBER 26, 2020

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. For some of these tests, he’s using the open source tool Apache JMeter. There are many use cases for using this API.

Innovation 234

Innovation Metrics Hardware Open Source 234

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. Enterprise-grade observability for custom OpenTelemetry metrics from AWS.

AWS 255

AWS Metrics Analytics Government 255

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. What is OpenTelemetry?

Metrics 245

Metrics Open Source Traffic Cache 245

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Failures are injected using Chaos Mesh , an open source chaos engineering platform integrated with Kubernetes deployment.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

MARCH 11, 2025

With our latest enhancements, were transforming the way you work with trace data. For deeper exploration, our Distributed Tracing app empowers you to analyze raw trace data and uncover insights, whether troubleshooting errors, optimizing performance, or discovering the unknown unknowns. But why stop there?

Games 165

Games Analytics Innovation Metrics 165

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.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

DECEMBER 28, 2020

Welcome back to the blog series where we provide you with deeper dives into the latest observability awesomeness from Dynatrace , demonstrating how we bring scale, zero configuration, automatic AI-driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.

Metrics 228

Metrics Open Source Monitoring Engineering 228

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.

Analytics 272

Analytics Processing Transportation Storage 272

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.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. The only way to address these challenges is through observability data — logs, metrics, and traces. Teams interact with myriad data types.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

APRIL 10, 2025

Logging is integral to Kubernetes monitoring In the ever-changing and evolving software development landscape, logs have always been and continue to be – one of the most critical sources of insight. Slice and dice log data with traces and Kubernetes topology in Notebooks with DQL.

Analytics 147

Analytics Metrics Monitoring Open Source 147

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. Send unified data to Dynatrace for analysis alongside your logs, metrics, and traces.

Metrics 165

Metrics Serverless Analytics Innovation 165

DZone

JUNE 15, 2023

As one of the most popular open-source Kubernetes monitoring solutions, Prometheus leverages a multidimensional data model of time-stamped metric data and labels. The platform uses a pull-based architecture to collect metrics from various targets. These considerations include:

Open Source 298

Open Source Metrics Efficiency Architecture 298

The Netflix TechBlog

DECEMBER 19, 2024

Frequently, practitioners want to experiment with variants of these flows, testing new data, new parameterizations, or new algorithms, while keeping the overall structure of the flow or flowsintact. This has been a guiding design principle with Metaflow since its inception.

Best Practices 204

Best Practices Cache Metrics Code 204

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

OCTOBER 7, 2020

We’re happy to announce that by opening up Dynatrace OneAgent for integration of custom metrics, Dynatrace has automated alerting on crucial metrics and removes the need to maintain local configurations for StatsD, Telegraf, and Prometheus—even in the largest of environments, which can include hundreds of thousands of instances and containers.

Open Source 264

Open Source Metrics Analytics Tuning 264

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 257

Big Data Government Processing Analytics 257