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 214

Metrics Infrastructure Database Monitoring 214

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 226

Metrics Lambda Infrastructure Monitoring 226

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 256

Availability Hardware Latency Traffic 256

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 Virtualization 173

Dynatrace

AUGUST 5, 2020

Dynatrace Synthetic Monitoring allows you to proactively monitor the availability of your public as well as your internal web applications and API endpoints from locations around the globe or important internal locations such as branch offices. Ensure better user experience with paint-focused performance metrics. Dynatrace news.

Metrics 227

Metrics Monitoring Performance Benchmarking 227

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 190

Metrics Engineering Energy Tuning 190

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 192

Metrics Open Source Traffic Cache 192

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 191

Metrics Analytics Software Architecture Open Source 191

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 234

Metrics Mobile IoT Monitoring 234

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

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 249

Metrics Availability Scalability Software 249

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 276

Software Software Benchmarking Latency 276

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 330

Metrics Google Monitoring Code 330

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 224

Metrics Network Monitoring Infrastructure 224

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 300

Storage Cache Metrics Database 300

The Netflix TechBlog

JUNE 14, 2023

So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. We spent the next few months diving into these high-level metrics and fixing issues such as cache TTLs, flawed client assumptions, etc.

Traffic 358

Traffic Latency Cache Metrics 358

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 270

Artificial Intelligence Metrics Analytics Storage 270

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 178

Architecture Availability Infrastructure Monitoring 178

Dynatrace

JULY 1, 2020

In my last blog , I’ve provided an example of this happening, whereby the traffic spiked and quadrupled the usual incoming traffic. These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system.

Traffic 264

Traffic Analytics Metrics Servers 264

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 261

Open Source Metrics Analytics Tuning 261

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 233

Monitoring Metrics DevOps Scalability 233

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 349

Traffic Latency Tuning Systems 349

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 3, 2020

A few months ago we wrote about how you can scale your API operations with our version 2 APIs , by showing off the Dynatrace Metrics API v2 and the Monitored entities API v2. All filters and problem meta-information that are available in our own problem list are now seamlessly available through the public Problems REST API v2.

Metrics 246

Metrics Monitoring Efficiency Availability 246

Dynatrace

OCTOBER 16, 2024

You can now: Kickstart your creation journey using ready-made dashboards Accelerate your data exploration with seamless integration between apps Start from scratch with the new Explore interface Search for known metrics from anywhere Let’s look at each of these paths through an end-to-end use case focused on Kubernetes monitoring.

Social Media 205

Social Media Metrics Network Analytics 205

Dynatrace

DECEMBER 18, 2024

Thanks to the power of Grail, those details are available for all executions stored for the entire retention period during which synthetic results are kept. It now fully supports not only Network Availability Monitors but also HTTP synthetic monitors. Details of requests sent during each monitor execution are also available.

Monitoring 159

Monitoring Testing Metrics Analytics 159

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 244

Metrics Engineering Code Tuning 244

Dynatrace

SEPTEMBER 14, 2022

Not every situation lends itself to AIOps—for example, think about data that either can’t be monitored cost efficiently (where real-time processing wouldn’t benefit you) or when creating ad hoc reports to check long-term trends and make tactical/strategic business decisions in a timely fashion.

Metrics 241

Metrics Analytics Monitoring Efficiency 241

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. Example 1: Architecture boundaries. This view shows the availability SLO for key application functions, like login and vehicle list, as well as a large set of timeframes, like last 30 minutes, last hour, today, and last six days.

Automotive 279

Automotive Latency Architecture Azure 279

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. While the SLO management web UI and API are already available, the dashboard tile will be released within the next weeks.

Metrics 225

Metrics Availability Monitoring Scalability 225

Dynatrace

AUGUST 27, 2020

Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days. Those in the left column are readily available now, with those in the right available soon. Available Now. AWS SDK Metrics for Enterprise Support. Achieve full observability of all AWS services.

AWS 275

AWS Cloud IoT Database 275

The Netflix TechBlog

NOVEMBER 11, 2022

Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data. In semi-supervised anomaly detection models, only a set of benign examples are required for training. Manifest is a list of video, audio, subtitles, etc.

C++ 323

C++ Metrics Tuning Strategy 323

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces. Managing this change is difficult.

Cloud 263

Cloud Lambda AWS Analytics 263

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 253

Analytics Infrastructure AWS Operating System 253

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 239

Google Metrics Monitoring Network 239

Dynatrace

MAY 23, 2024

With the AI-powered Dynatrace platform now generally available on Azure, Azure Native Dynatrace Service customers can now leverage the full AI power of the Dynatrace platform directly from Azure. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below.

Azure 237

Azure Cloud Metrics Innovation 237

The Netflix TechBlog

NOVEMBER 2, 2020

All such failures can put a system under unexpected load, and at some point in the past, every single one of these examples has prevented our members’ ability to play. Logs and background requests are examples of this type of traffic. The computation is done as a first step so that it is available for the rest of the request lifecycle.

Traffic 263

Traffic Metrics Infrastructure Architecture 263