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 Database Open Source 246

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 246

Metrics Java Latency Cache 246

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. That result can be automatically documented and passed to the development team, providing them with full context of the problem.

Analytics 286

Analytics Logistics IoT Mobile 286

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

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 277

Metrics Innovation Strategy Monitoring 277

Dynatrace

MARCH 16, 2022

Now, Dynatrace has the ability to turn numerical values from logs into metrics, which unlocks AI-powered answers, context, and automation for your apps and infrastructure, at scale. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

MARCH 31, 2021

For quite some time already, Dynatrace has provided full observability into AWS services by ingesting CloudWatch metrics that are published by AWS services. Amazon CloudWatch gathers metric data from various services that run on AWS. We’re happy to announce that Dynatrace is now a launch partner for Amazon CloudWatch Metric Streams.

AWS 231

AWS Metrics Availability Lambda 231

Dynatrace

NOVEMBER 11, 2024

To calculate the service-level indicator for the Kubernetes namespace memory efficiency SLO, simply query the memory working set and request the memory metrics that are provided out of the box. However, if you require more granular information, you can adjust the levels for resource utilization monitoring accordingly.

Efficiency 263

Efficiency Best Practices Monitoring Cloud 263

The Netflix TechBlog

DECEMBER 19, 2024

Consider these examples from the updated documentation: You can choose the right level of runtime configurability versus fixed deployments by mixing Parameters and Configs. Take a look at two interesting examples of this pattern in the documentation. Try it athome It couldnt be easier to get started with Configs!Just

Best Practices 204

Best Practices Cache Metrics Code 204

Dynatrace

MARCH 5, 2025

The Carbon Impact app directly supports our customers sustainability efforts through granular real-time emissions reporting and analytics, translating host utilization metrics into their CO2 equivalent (CO2e). We implemented a wasted energy metric in the app to enhance practitioner actionability.

Energy 223

Energy Analytics Traffic Cloud 223

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

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Source: OpenTelemetry Documentation. Logs, metrics, and traces make up the bulk of all telemetry data. What is telemetry data?

Open Source 246

Open Source Metrics Cloud Transportation 246

Dynatrace

MARCH 13, 2025

You can find additional deployment options in the OpenTelemetry demo documentation. The configuration also includes an optional span metrics connector, which generates Request, Error, and Duration (R.E.D.) metrics from span data. metrics from span data. Select + then select Metrics from the drop-down.

Open Source 147

Open Source Metrics Architecture Infrastructure 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

Dynatrace

SEPTEMBER 28, 2021

Teams are using concepts from site reliability engineering to create SLO metrics that measure the impact to their customers and leverage error budgets to balance innovation and reliability. Nobl9 integrates with Dynatrace to gather SLI metrics for your infrastructure and applications using real-time monitoring or synthetics.

Metrics 356

Metrics Innovation Monitoring Software 356

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon ElastiCache (see AWS documentation for Memcached and Redis ). Amazon Aurora.

AWS 200

AWS Metrics IoT Storage 200

Dynatrace

FEBRUARY 13, 2025

Dynatrace currently supports the following: Traces Logs Metrics What information do I need to send OpenTelemetry data to Dynatrace? Does Dynatrace support OpenTelemetry metrics? Yes, but its important to note the following: Dynatrace requires metrics data to be sent with delta temporality and not cumulative temporality.

Open Source 147

Open Source Metrics C++ Java 147

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon ElastiCache (see AWS documentation for Memcached and Redis ). Amazon Aurora.

AWS 182

AWS Metrics IoT Storage 182

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

DZone

JULY 19, 2021

Code can be considered good quality if it is clear, simple, well tested, bug-free, refactored, documented, and performant. To measure Code Quality, there are two types of metrics: Qualitative and Quantitative. Let's discuss both kinds of metrics in detail below.

Code 278

Code Metrics Testing Systems 278

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.

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

MARCH 17, 2025

To set up the token, see Dynatrace APITokens and authentication in Dynatrace documentation. If you dont have one, you can use a trial account. A Dynatrace API token with the following permissions. It also showed the power of DQL to pinpoint the root cause of an unexpected problem.

Monitoring 147

Monitoring Analytics Metrics Strategy 147

Dynatrace

APRIL 4, 2025

It provides unified observability by automatically correlating logs and placing them in the context of traces and metrics. Grail, the Dynatrace schema on-read data lakehouse , is at the heart of the Dynatrace platform. The Dynatrace Logs app allows you to explore logs with your entities set in context.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

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 logs are first-class citizens alongside traces, metrics, business events, and other data types, you have an observability platform ready to scale with you in your cloud-native journey.

Cloud 279

Cloud Lambda AWS Analytics 279

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Prometheus in Kubernetes ?and

Technology 246

Technology Technology Metrics Infrastructure 246

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Java Latency Cache 130

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Java Latency Cache 130

Dynatrace

AUGUST 17, 2023

Spring also introduced Micrometer, a vendor-agnostic metric API with rich instrumentation options. Soon after, Dynatrace built a registry for exporting Micrometer metrics. Our data APIs, which ingest millions of metrics, traces, and logs per second, are reconciled using Micrometer-based metrics.

Metrics 246

Metrics Analytics Speed Java 246

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 Operator consumes DynaKubes with cloud-native full-stack configuration and deploys the following resources: Dynatrace OneAgent, deployed as a DaemonSet, collects host metrics from Kubernetes nodes.

Availability 279

Availability Infrastructure Metrics Hardware 279

Dynatrace

JULY 22, 2024

Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics. Metrics are typically aggregated and stored in time series databases for monitoring and alerting purposes.

Latency 264

Latency Best Practices Metrics Open Source 264

Dynatrace

MAY 28, 2020

In Dynatrace, tagging also allows you to control access rights (via Management Zones), filter data on dashboards or via the API as well as allowing you to control calculation of custom service metrics or extraction of request attributes. This allows us to analyze metrics (SLIs) for each individual endpoint URL.

Engineering 270

Engineering Performance Metrics Best Practices 270

Dynatrace

MARCH 5, 2021

Top use-cases cover: Monitoring metrics in build pipelines for remediation efforts. Running metric queries on a subset of entities for live monitoring and system overviews. Creating customized metric reports. If you haven’t done so already, we encourage you to take a look at the Dynatrace API documentation.

Metrics 246

Metrics Monitoring Design Systems 246

Dynatrace

DECEMBER 4, 2023

OpenTelemetry has become a standard for collecting traces, metrics, and logs. Given the prevalence of Python in AI model development, OpenTelemetry serves as a robust standard for collecting observability data, including traces, metrics, and logs. Maintained under the Apache 2.0

Open Source 279

Open Source Metrics Java Latency 279

Dynatrace

JULY 11, 2023

The forecast operation is selected within the Davis action, and a DQL query is used to specify the set of disks and the capacity indicator metric that should be predicted. Tip: Download the TypeScript template from our documentation. In this example, two parallel actions are defined. Create an alarm event for predicted shortages.

Metrics 246

Metrics Games Analytics Network 246

Dynatrace

FEBRUARY 27, 2025

Search the Hub to find Extensions for effortlessly importing technology-specific metrics. These include links to documentation, a list of similar technologies, customer stories, and further reading materials. Looking to integrate data into Dynatrace? Of course, seeing is believing.

Monitoring 147

Monitoring Technology Technology Availability 147

Dynatrace

JUNE 4, 2024

The training times and other quality metrics, such as the RMSE (Root Mean Squared Error), SMAPE (Scaled Mean Absolute Percentage Error), and coverage probability, are monitored using Dynatrace. Our data scientists utilize metrics and events to store these quality metrics. For full details, see Dynatrace Documentation.

Metrics 297

Metrics Engineering Code Tuning 297