Dynatrace

OCTOBER 29, 2024

A Dynatrace API token with the following permissions: Ingest OpenTelemetry traces ( openTelemetryTrace.ingest ) Ingest metrics ( metrics.ingest ) Ingest logs ( logs.ingest ) To set up the token, see Dynatrace API – Tokens and authentication in Dynatrace documentation. You can even walk through the same example above.

Metrics 246

Metrics Tuning Monitoring Availability 246

Dynatrace

OCTOBER 31, 2024

This lets you build your SLOs around the indicators that matter to you and your customers—critical metrics related to availability, failure rates, request response times, or select logs and business events. Depending on the environment, the different information types provide indicators that reveal potential problems for your customers.

Metrics 277

Metrics Availability Monitoring Scalability 277

Dynatrace

JANUARY 22, 2025

In the example below, we demonstrate how to use workflows to ingest data from the GitHub API, capturing detailed information about runners and integrating it seamlessly into Dynatrace business events for actionable insights. This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

JANUARY 21, 2025

I used to work at another Observability vendor, and many of the OpenTelemetry examples that I played with and blogged about in the last 2 years or so featured sending OTel data to that backend. A great way to learn is to try to run my go-to examples using Dynatrace as the Observability backend. Want to learn how? Lets do it together!

Metrics 253

Metrics Education Cloud Programming 253

Dynatrace

APRIL 15, 2025

Each business unit relies on a collection of processes, and each process has metrics and KPIs that can be affected by delays, exceptions, or failures. Examples include: A stalled connection between two services delays the process of validating food orders, resulting in dissatisfied customers, idle delivery drivers, and canceled orders.

Processing 217

Processing Analytics C++ Metrics 217

Dynatrace

OCTOBER 17, 2022

But as every business works differently, there is often a need to customize Davis, so that it fits your domain-specific use cases and detects relevant and business-critical anomalies , such as those outlined in the following examples: Detect anomalies within your custom data streams. Let’s configure anomaly detection on a metric.

Metrics 245

Metrics Strategy Infrastructure Monitoring 245

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. For example, if you have too many rage clicks, you likely want to spend the next sprint on experience improvements vs. new features.

Analytics 286

Analytics Logistics IoT Mobile 286

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 245

Metrics Engineering Energy Tuning 245

Dynatrace

FEBRUARY 2, 2023

This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation. Introducing metric extraction from business events Beginning with Dynatrace SaaS version 1.257, you can extract metrics from ingested business events.

Analytics 246

Analytics Metrics DevOps Storage 246

Dynatrace

DECEMBER 12, 2024

I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.

Analytics 289

Analytics Government Efficiency Innovation 289

Dynatrace

DECEMBER 13, 2023

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. There are many common mobile app performance metrics that are used to measure key performance indicators (KPIs) related to user experience and satisfaction.

Best Practices 246

Best Practices Mobile Metrics Performance 246

Dynatrace

NOVEMBER 4, 2024

For years, logs have been the dominant approach many observability vendors have taken to report business metrics on dashboards. Within the target pipeline, you can also define processing rules, extract metrics, set the security context, and define retention periods.

Analytics 241

Analytics Airlines Metrics Monitoring 241

DZone

JULY 3, 2022

This second blog will take a deeper dive into the Metrics, Logs, and Tracing exporters (which can be found at [link] ), describing them and showing how to configure them, Grafana, alerts, etc. This is the second in a series of blogs discussing unified observability with microservices and the Oracle database.

Metrics 246

Metrics DevOps Database Code 246

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.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

Dynatrace

OCTOBER 14, 2024

Access policies for Dynatrace Grail™ data lakehouse are still available as service-related policies; they allow you to control access to the monitoring data on a per-data-source level, for example, logs and metrics. All other default policies on the service level, for example, “AutomationEngine – User” access, are now marked as Legacy.

Monitoring 246

Monitoring Metrics Systems Scalability 246

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. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?

Metrics 245

Metrics Open Source Traffic Cache 245

Dynatrace

APRIL 10, 2025

Break data silos and add context for faster, more strategic decisions : Unifying metrics, logs, traces, and user behavior within a single platform enables real-time decisions rooted in full context, not guesswork. For example, organizations typically utilize only 60% of their security tools.

Strategy 262

Strategy Storage Network Architecture 262

The Netflix TechBlog

DECEMBER 19, 2024

As an example, you can specify a Config that reads a pleasantly human-readable configuration file, formatted as TOML. Consider these examples from the updated documentation: You can choose the right level of runtime configurability versus fixed deployments by mixing Parameters and Configs.

Best Practices 204

Best Practices Cache Metrics Code 204

Dynatrace

OCTOBER 10, 2024

For example, it supports string and numerical values, enabling a multitude of different use cases. For example, set the value range for CPU consumption from 0% to 100%. While histograms look much like time-series bar charts, they’re different in that each bar represents a count (often termed frequency) of metric values.

Latency 246

Latency Infrastructure Monitoring Metrics 246

DZone

JANUARY 16, 2025

OpenSearch simplifies this by providing an open-source, scalable solution for logging, metrics, and visualization. No complex jargon, just simple steps to get you started with real-world examples. In this article, well walk through setting up observability in 10 minutes using OpenSearch Observability.

Open Source 173

Open Source Scalability Metrics Systems 173

Dynatrace

MARCH 13, 2025

Because it includes examples of 10 programming languages that OpenTelemetry supports with SDKs, the application makes a good reference for developers on how to use OpenTelemetry. In this example, we’ll use Dynatrace. metrics from span data. metrics from span data.

Open Source 147

Open Source Metrics Architecture Infrastructure 147

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

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. Finally, to try out the SLO examples described in this article, visit the Dynatrace Service-Level Objectives playground.

Efficiency 263

Efficiency Best Practices Monitoring Cloud 263

Dynatrace

MARCH 5, 2025

The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. We implemented a wasted energy metric in the app to enhance practitioner actionability.

Energy 223

Energy Analytics Traffic Cloud 223

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

JANUARY 22, 2025

Your teams want to iterate rapidly but face multiple hurdles: Increased complexity: Microservices and container-based apps generate massive logs and metrics. For this example, we go to Simple Workflows and select Trigger > Davis event trigger to find these out-of-memory errors. Theyre free and unlimited.

Development 245

Development Processing Monitoring Code 245

Dynatrace

FEBRUARY 13, 2025

Explore OpenTelemetry data with Dynatrace Dynatrace makes unified observability possible by storing all data in Grail, a unified and purpose-built data lakehouse optimized for storing and analyzing traces, metrics, logs, and more. For example, you can: Analyze your deployed services with automated health analysis and more in the Services app.

Open Source 173

Open Source Metrics Engineering 173

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Some examples: Why is title X not showing on the Coming Soon row for a particular member?

Traffic 172

Traffic Scalability Strategy Monitoring 172

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Observability: Elevating Logs, Metrics, and Traces! What is Fluent Bit?

Best Practices 279

Best Practices IoT Metrics Storage 279

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. The following example drives the point home.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

APRIL 10, 2025

Context-aware and topology-rich logs : Logs must be enriched with metadata and contextual information, allowing powerful log analytics of all distributed traces, metrics, and events within the Kubernetes topology. Easily derive metrics and events from logs for dashboarding and prediction.

Analytics 147

Analytics Metrics Open Source Monitoring 147

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

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. Data expressions define what data needs to be sourced in order to evaluate a query.

Storage 297

Storage Cache Metrics Database 297

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. In this example, “Reverse proxy” and “Front-end server” are clearly in the critical path. In this example, we’re creating an SLO with a target of 98% of our requests without errors.

Software 306

Software Software Benchmarking Latency 306

Dynatrace

OCTOBER 8, 2020

They may be used to, for example, integrate a new payment service or create a new interface for a booking platform. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). For the Checkout function example (see below), the median response time is around 580ms.

Lambda 345

Lambda AWS Programming Serverless 345

Dynatrace

JANUARY 18, 2022

The measurement equates to a metric that captures expected results. The first step to defining an SLO is to identify the success metric. Dynatrace provides many Built-in metrics you can use, or you can create your own calculated metrics for any of the following entities: Web apps and mobile apps (Application).

Metrics 264

Metrics Availability Scalability Software 264

Dynatrace

JUNE 4, 2024

For example, the team must establish specific thresholds for desired service performance behavior. The Dynatrace data science team continuously improves the machine learning models used by Davis AI, for example, by adding new features to forecasting or refining mathematical calculations.

Metrics 297

Metrics Engineering Code Tuning 297