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. At the same time, deep payload inspection makes it easy to extract important business data locked in application payloads—without writing any code.

Analytics 246

Analytics Metrics DevOps Storage 246

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

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

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

The Netflix TechBlog

NOVEMBER 27, 2023

Netflix was thrilled to be the premier sponsor for the 2nd year in a row at the 2023 Conference on Digital Experimentation (CODE@MIT) in Cambridge, MA. For example, how do we estimate the effects of innovations on retention a year later without running all our experiments for a year?

Code 220

Code Games Metrics Innovation 220

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. While classic logging is an essential tool in debugging issues, it often lacks context and only provides snapshot information of one specific location in your code/application. What is OpenTelemetry?

Metrics 245

Metrics Open Source Traffic Cache 245

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

FEBRUARY 9, 2022

Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Many observability solutions don’t support an “as code” approach. Dynatrace enables software intelligence as code. Observability is required for effective collaboration and automation.

Code 246

Code Software Software DevOps 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. Logs, metrics, and traces make up the bulk of all telemetry data. The data life cycle has multiple steps from start to finish.

Open Source 246

Open Source Metrics Cloud Transportation 246

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 212

Metrics Open Source Lambda Serverless 212

Dynatrace

AUGUST 5, 2020

With Dynatrace, you can also validate your findings against Real User Monitoring data or even drill down to the code level to pinpoint the root cause of a change in performance. Recently introduced improvements to Visually complete and new web performance metrics for Real User Monitoring are now available for Synthetic Monitoring as well.

Metrics 246

Metrics Monitoring Performance Benchmarking 246

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

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 194

Metrics Open Source Tuning Analytics 194

Dynatrace

JUNE 4, 2024

To provide automated feedback for developers, the concept of quality gates for static code analysis in continuous integration is widely adopted throughout the industry. The developer must pause their current engineering work to address the reported issue and consider the code changes they worked on a few days or weeks prior.

Metrics 297

Metrics Engineering Code Tuning 297

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.

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Availability Scalability Cloud Metrics 348

DZone

MARCH 7, 2023

One of the most common examples is the adoption of microservices. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces. When organizations move toward the cloud, their systems also lean toward distributed architectures.

Architecture 321

Architecture Metrics Cloud Monitoring 321

Dynatrace

APRIL 8, 2020

Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. Any significant reduction in allocations will inevitably speed up your code. You can even look at the source code directly. .

Speed 208

Speed Code Java Lambda 208

Dynatrace

APRIL 21, 2021

Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?

Metrics 184

Metrics Google Website Speed 184

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 329

Metrics Google Code Monitoring 329

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

DZone

JANUARY 3, 2024

Did you always want to know more about instrumentation, metrics, and your options for coding with open standards? Are you a Java developer and looking for a working example to get started instrumenting your applications and services?

Open Source 309

Open Source Java Cloud Metrics 309

Dynatrace

FEBRUARY 21, 2024

Organizations can customize quality gate criteria to validate technical service-level objectives (SLOs) and business goals, ensuring early detection and resolution of code deficiencies. Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC.

Speed 264

Speed Software Software Latency 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

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

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

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

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. In this case, Davis finds that a Java Spring Micrometer metric called Failed deliveries is highly correlated with CPU spikes.

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Retail Storage Analytics Cloud 306

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. For example, deleting the database is not an expected outcome when the function provided is to update a user profile.

Analytics 304

Analytics AWS DevOps Cloud 304

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

DZone

JUNE 12, 2020

Quality attributes usually assessed and analyzed at the architecture level, not at the code level. However, some experts start talking about it, for example, I highly recommend you to attend Global Software Architecture Summit in Barcelona ( October, 1-2), where Alexander von Zitzewitz will talk about “Software Metrics for Architects”.

Software Architecture 264

Software Architecture Architecture Software Software 264

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. Dedicated Replay Service This approach centralizes the replay logic in an isolated, dedicated code base.

Traffic 343

Traffic Latency Tuning Systems 343

Dynatrace

NOVEMBER 6, 2023

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. KubeCon North America is this week.

Development 290

Development DevOps Programming Cloud 290

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. At the same time, dedicated configuration-as-code support in Monaco and Terraform will provide a scalable, automated solution.

Metrics 277

Metrics Availability Monitoring Scalability 277

Dynatrace

OCTOBER 4, 2024

Similar to the observability desired for a request being processed by your digital services, it’s necessary to comprehend the metrics, traces, logs, and events associated with a code change from development through to production. Code : The branch for the new feature in a GitHub repository is merged into the main branch.

Software 278

Software Software Development Performance 278

Dynatrace

AUGUST 29, 2024

As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. Both methods allow you to ingest and process raw data and metrics.

IoT 264

IoT Analytics Transportation Metrics 264

The Netflix TechBlog

FEBRUARY 3, 2021

This framework was initially intended to be internal only, focusing on integration with the Netflix ecosystem for tracing, logging, metrics, etc. There are two different approaches to GraphQL development; schema-first and code-first development. The code in your service only implements this schema.

Open Source 246

Open Source Java Architecture Metrics 246

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below.

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Azure Cloud Metrics Innovation 264