Dynatrace

NOVEMBER 4, 2024

For years, logs have been the dominant approach many observability vendors have taken to report business metrics on dashboards. Most of the use cases in these two broad categories benefit from the flexibility that comes from multiple available sources of business data.

Analytics 241

Analytics Airlines Metrics Monitoring 241

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. Are the corresponding services running on those hosts?

Availability 246

Availability Network Monitoring Infrastructure 246

Dynatrace

FEBRUARY 6, 2025

Whether you’re a seasoned IT expert or a marketing professional looking to improve business performance, understanding the data available to you is essential. 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.

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. Use the respective data access policies for these assignments.

Monitoring 246

Monitoring Metrics Systems Scalability 246

Dynatrace

SEPTEMBER 28, 2021

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 246

DevOps Metrics Traffic Efficiency 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. It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of your monitoring infrastructure.

Availability 279

Availability Infrastructure Metrics Hardware 279

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. The certification results are now publicly available. Today, Carbon Impact has a new name: Cost & Carbon Optimization.

Energy 223

Energy Analytics Traffic Cloud 223

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

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

OCTOBER 10, 2024

For example, it supports string and numerical values, enabling a multitude of different use cases. To achieve the best visual outcome, we recommend experimenting with the available customization options. For example, set the value range for CPU consumption from 0% to 100%. Try different cell shapes. Min and max limits.

Latency 246

Latency Infrastructure Monitoring Metrics 246

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 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 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. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

NOVEMBER 11, 2024

A Kubernetes SLO that continuously evaluates CPU, memory usage, and capacity and compares these available resources to the requested and utilized memory of Kubernetes workloads makes potential resource waste visible, revealing opportunities for countermeasures.

Efficiency 263

Efficiency Best Practices Monitoring Cloud 263

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

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

APRIL 8, 2022

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. For example, say you find multiple error events in different log files. Fluentd logs in context: Example use cases.

Metrics 245

Metrics Analytics Software Architecture Open Source 245

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

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. Dynatrace news. Minimized cross-data center network traffic.

Availability 264

Availability Hardware Latency Traffic 264

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. You can select any trigger thats available for standard workflows, including schedules, problem triggers, customer event triggers, or on-demand triggers.

Development 245

Development Processing Monitoring Code 245

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider.

Traffic 173

Traffic Website Latency DevOps 173

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. The standard dictionary subscript notation is also available. Take a look at two interesting examples of this pattern in the documentation. Configs can of course also be used within yourflow.

Best Practices 200

Best Practices Cache Metrics Code 200

The Netflix TechBlog

FEBRUARY 14, 2025

Analyzing impression history, for example, might help determine how well a specific row on the home page is functioning or assess the effectiveness of a merchandising strategy. This dual availability ensures immediate processing capabilities alongside comprehensive long-term data retention.

Tuning 165

Tuning Latency Efficiency Storage 165

Dynatrace

JUNE 3, 2022

The type of breached baseline (auto-detected baseline or fixed manual threshold) is also available as additional information in the crash rate increase section. The post Identify issues immediately with actionable metrics and context in Dynatrace Problem view appeared first on Dynatrace blog. How to get started. New to Dynatrace?

Metrics 246

Metrics Mobile IoT Monitoring 246

Dynatrace

MARCH 5, 2021

For example, you might be using: any of the 60+ StatsD compliant client libraries to send metrics from various programming languages directly to Dynatrace; any of the 200+ Telegraf plugins to gather metrics from different areas of your environment; Prometheus, as the dominant metric provider and sink in your Kubernetes space.

Metrics 286

Metrics Network Monitoring Infrastructure 286

Dynatrace

JANUARY 18, 2022

As our customers adopt agile software development and continuous delivery to drive value faster, they face new risks that could impact availability, performance, and business KPIs. An SLI is a measurement of the performance or availability of an entity. The measurement equates to a metric that captures expected results.

Metrics 264

Metrics Availability Scalability Software 264

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. Reliability.

Software 306

Software Software Benchmarking Latency 306

Dynatrace

FEBRUARY 19, 2021

To provide “quality signals that are essential to delivering a great user experience on the web,” Google introduced their Core Web Vitals initiative last year, advocating the Largest contentful paint , Cumulative layout shift , and First input delay metrics. with: Aggregated field metrics?rather?than?valuable?details

Google 306

Google Metrics Monitoring Network 306

Dynatrace

SEPTEMBER 22, 2021

Controller Manager: Runs controllers such as the node controller responsible for handling node availability. Of course, you can also create your own custom alerts based on any metric displayed on a dashboard. For example, for an etcd cluster to work properly, there needs to be one leader that takes care of keeping the cluster in sync.

Availability 243

Availability Best Practices Infrastructure Monitoring 243

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

DZone

JUNE 21, 2023

In this article, we will explore the differences between monitoring and observability, provide examples to illustrate their applications and highlight their respective benefits. It typically involves setting up specific metrics, thresholds, and alerting mechanisms to track the performance and availability of various components.

DevOps 324

DevOps Systems Monitoring Metrics 324

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

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

JULY 11, 2023

Captures metrics, traces, logs, and other telemetry data in context. Smartscape topology mapping: Dynatrace uses its Smartscape technology to semantically map metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services.

Architecture 189

Architecture Availability Infrastructure Monitoring 189

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?

Metrics 337

Metrics Google Code Monitoring 337

Dynatrace

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. The Clouds app provides a view of all available cloud-native services.

Analytics 304

Analytics AWS DevOps Cloud 304