Code, Metrics and Performance - Technology Performance Pulse

Code Quality Metrics

DZone

MAY 12, 2021

"Employing these Metrics to excel the performance of code directly impacts the profitability of the business. For the developers, practicing to write a good quality code in the initial phase of the coding job not only prevents the efforts and hours spent in précising the errors but also the costs are reduced.

Code

Code Metrics Efficiency Engineering

Reliability indicators that matter to your business: SLOs for all data types

Dynatrace

OCTOBER 31, 2024

Provide an at-a-glance view of your system’s health and performance Dynatrace guides you in quickly getting the most valuable SLOs set up in just a few clicks. Heterogeneous services require heterogeneous indicators Metrics, logs, and traces are the core ingredients for making your environment observable.

Metrics

Metrics Availability Monitoring Scalability

OpenTelemetry histograms reveal patterns, outliers, and trends

Dynatrace

OCTOBER 10, 2024

Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. A histogram is a specific type of metric that allows users to understand the distribution of data points over a period of time. In practical applications, percentiles are particularly useful for web performance analysis.

Metrics

Metrics Monitoring Efficiency Availability

Measuring Code Quality: Qualitative and Quantitative

DZone

JULY 19, 2021

Code Quality defines that the code is good, which means code is of high quality, and code is bad, which means code is of low quality. Code can be considered good quality if it is clear, simple, well tested, bug-free, refactored, documented, and performant.

Code

Code Metrics Testing Systems

What is observability? Not just logs, metrics and traces

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. In a monitoring scenario, you typically preconfigure dashboards that are meant to alert you to performance issues you expect to see later. What is observability?

Metrics

Metrics Open Source Monitoring Cloud

Best practices and key metrics for improving mobile app performance

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. What is mobile app performance? Some of the most important KPIs are listed below.

Best Practices

Best Practices Mobile Metrics Performance

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

JANUARY 17, 2023

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics

Analytics Metrics Open Source Java

How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. With the Dynatrace modern observability platform, teams can now use intuitive, low-code/no-code toolsets and causal AI to extend answer-driven automation for business, development and security workflows.

Code

Code DevOps Cloud Analytics

9 key DevOps metrics for success

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

DevOps Metrics Traffic Efficiency

New continuous compliance requirements drive the need to converge observability and security

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

Analytics Government Efficiency Innovation

How to collect Prometheus metrics in Dynatrace

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

Metrics Infrastructure Database Open Source

OpenPipeline: Simplify access to critical business data

Dynatrace

NOVEMBER 4, 2024

Most of these leverage the unique capability of Dynatrace OneAgent® to extract business data from in-flight application payloads — without writing any code. For years, logs have been the dominant approach many observability vendors have taken to report business metrics on dashboards.

Analytics

Analytics Airlines Metrics Monitoring

Deliver secure, safe, and trustworthy GenAI applications with Amazon Bedrock and Dynatrace

Dynatrace

MARCH 12, 2025

Traditional debugging approaches, logs, and occasional remote breakpoint instrumentation cant easily keep pace with cloud-native AI deployments, where performance, compliance, and costs are all on the line. Send unified data to Dynatrace for analysis alongside your logs, metrics, and traces.

Metrics

Metrics Serverless Analytics Innovation

Extract metrics from business events to increase the value of business analytics

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

Analytics Metrics DevOps Storage

The keys to selecting a platform for end-to-end observability

Dynatrace

DECEMBER 2, 2024

Find and prevent application performance risks A major challenge for DevOps and security teams is responding to outages or poor application performance fast enough to maintain normal service. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.

Artificial Intelligence

Artificial Intelligence DevOps Architecture Cloud

Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

NOVEMBER 9, 2022

In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands. Luckily, the m5.12xl instance type exposes a set of core PMCs (Performance Monitoring Counters, a.k.a. This was our starting point for troubleshooting.

Hardware

Hardware Cache Performance Latency

Netflix Original Research: MIT CODE 2023

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. Our next topic focused on how to understand and balance competing engagement metrics; for example, should 1 hour of gaming equal 1 hour of streaming?

Code

Code Games Metrics Innovation

The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

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

Metrics Open Source Traffic Cache

Observability throughout the software development lifecycle increases delivery performance

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

Software Software Development Performance

Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

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

Metrics Analytics Google Code

Performance Hero: Annie Sullivan

Speed Curve

JANUARY 19, 2025

Let's kick off the new year by celebrating someone who has not just had a huge impact on web performance over the past few years, but who has even more exciting stuff in the works for the future: Annie Sullivan! Annie and her team navigate this arduous task with true passion for web performance and for improving the user experience.

Performance

Performance Google Speed Metrics

Create simple workflows to automate alerts during development

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. This caused you to lose complete visibility of your containers logs, performance, and error data, and you could not tell if the system was down or not.

Development

Development Processing Monitoring Code

Kubernetes workload troubleshooting with metrics, logs, and traces

Dynatrace

OCTOBER 21, 2021

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. Dynatrace Davis , our deterministic AI, recently notified our teams about a problem in one of our Keptn instances we just recently spun up to demo our automated performance analysis capabilities orchestrated by Keptn. Dynatrace news.

Metrics

Metrics DevOps Engineering Strategy

Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Enterprise-grade observability for custom OpenTelemetry metrics from AWS. Dynatrace news.

AWS

AWS Metrics Analytics Government

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source

Open Source Metrics Cloud Transportation

Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . Try it today using Keptn .

Performance

Performance Education Innovation Software Architecture

Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

OCTOBER 10, 2024

Service Level Objectives (SLO) tracking: Honeycomb charts can visualize SLOs, helping you monitor whether your services meet performance and reliability targets. Use color coding to tell a story. This is useful for identifying performance bottlenecks and understanding the overall user experience. Figure 2.

Latency

Latency Infrastructure Monitoring Metrics

Uplevel your gamechanging skills at Perform 2022

Dynatrace

JANUARY 25, 2022

Despite having to reboot Perform 2022 from onsite in Vegas to virtual, due to changing circumstances, we’re still set to offer just the same high-quality training. This means that despite not being in Vegas, our hands-on training (HOT) session attendees will see very minimal changes as we migrate to a virtual Perform 2022.

Performance

Performance Virtualization Education Analytics

Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

FEBRUARY 10, 2023

These are just some of the topics being showcased at Perform 2023 in Las Vegas. Perform 2023 news At Perform 2023 in Las Vegas, the headliner theme is IT automation. What’s more, organizations are no longer concerned only about application performance and sales numbers. We’ll post news here as it happens!

Efficiency

Efficiency Performance Analytics DevOps

Microsoft Azure observability enables full stack performance

Dynatrace

JUNE 8, 2022

Observability means how well you can understand what is happening in a system by collecting metrics, logs, and traces. This allows you to get comfortable with all the underlying metrics and log data. Observability of Azure infrastructure and all the services it supports helps you pinpoint performance issues and eliminate guesswork.

Azure

Azure Performance Infrastructure Cloud

In Defence of DOMContentLoaded

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

Metrics Google Code Monitoring

Boost application performance with improved CPU analysis across all your deep-monitored workloads

Dynatrace

JULY 31, 2020

Fully automated code-level visibility. Apart from its best-in-class observability capabilities like distributed traces, metrics, and logs, Dynatrace OneAgent additionally provides automatic deep code-level insights for Java,NET, Node.js, PHP, and Golang, without the need to change any application code or configuration.

Monitoring

Monitoring Performance Java Processing

How Dynatrace empowers performance engineering teams to test at scale

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). Current challenges with performance testing.

Engineering

Engineering Testing Performance Performance Testing

Next generation Dynatrace Davis AI becomes the default causation engine

Dynatrace

NOVEMBER 26, 2019

Back during Perform 2019, we introduced the next generation of the Dynatrace AI causation engine , also known as Davis. Save time by directly analyzing code-level information. With the unique code-level capabilities of Davis, we’ve reduced the number of clicks required to reach and understand code-level findings.

Engineering

Engineering Serverless Metrics Code

Title Launch Observability at Netflix Scale

The Netflix TechBlog

JANUARY 6, 2025

To address this, we introduced the term Title Health, a concept designed to help us communicate effectively and capture the nuances of maintaining each titles visibility and performance. Title Health encompasses various metrics and indicators that reflect how well a title is performing, in terms of discoverability and member engagement.

Scalability

Scalability Cache Engineering Systems

Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

FEBRUARY 10, 2022

Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas. Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. We gather logs, metrics and traces.

Artificial Intelligence

Artificial Intelligence Performance Innovation Speed

Auto-adaptive thresholds for AI-driven quality gating

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

Metrics Engineering Code Tuning

Noisy Neighbor Detection with eBPF

The Netflix TechBlog

SEPTEMBER 10, 2024

By Jose Fernandez , Sebastien Dabdoub , Jason Koch , Artem Tkachuk The Compute and Performance Engineering teams at Netflix regularly investigate performance issues in our multi-tenant environment. Traditional performance analysis tools such as perf can introduce significant overhead, risking further performance degradation.

Latency

Latency Metrics Programming Monitoring

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. These include Quality-of-Experience(QoE) measurements at the customer device level, Service-Level-Agreements (SLAs), and business-level Key-Performance-Indicators(KPIs).

Traffic

Traffic Latency Tuning Systems

Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications.

Monitoring

Monitoring Artificial Intelligence Performance Healthcare

Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes

Dynatrace

JULY 24, 2024

Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications. You can automatically detect and analyze performance issues across your entire tech stack with Davis® AI. This is significant when coupled with the OpenShift platform.

Availability

Availability Infrastructure Metrics Monitoring

11 Observability Tools You Should Know

DZone

MARCH 7, 2023

You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces. It enables teams to quickly pinpoint the root cause of issues, fix them and optimize the application performance, giving them the confidence to deliver code faster.

Architecture

Architecture Metrics Cloud Monitoring

What are quality gates? How to use quality gates to deliver better software at speed and scale

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

Speed Software Software Latency

Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

NOVEMBER 3, 2023

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Comprehensive metrics support Extensions 2.0

Technology

Technology Technology Scalability Availability

Code Quality Metrics

Reliability indicators that matter to your business: SLOs for all data types

Trending Sources

OpenTelemetry histograms reveal patterns, outliers, and trends

Measuring Code Quality: Qualitative and Quantitative

What is observability? Not just logs, metrics and traces

Best practices and key metrics for improving mobile app performance

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

How low-code/no-code AutomationEngine advances automated workflows

9 key DevOps metrics for success

New continuous compliance requirements drive the need to converge observability and security

How to collect Prometheus metrics in Dynatrace

OpenPipeline: Simplify access to critical business data

Deliver secure, safe, and trustworthy GenAI applications with Amazon Bedrock and Dynatrace

Extract metrics from business events to increase the value of business analytics

The keys to selecting a platform for end-to-end observability

Seeing through hardware counters: a journey to threefold performance increase

Netflix Original Research: MIT CODE 2023

The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Observability throughout the software development lifecycle increases delivery performance

Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Performance Hero: Annie Sullivan

Create simple workflows to automate alerts during development

Kubernetes workload troubleshooting with metrics, logs, and traces

Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Uplevel your gamechanging skills at Perform 2022

Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Microsoft Azure observability enables full stack performance

In Defence of DOM­Content­Loaded

Boost application performance with improved CPU analysis across all your deep-monitored workloads

How Dynatrace empowers performance engineering teams to test at scale

Next generation Dynatrace Davis AI becomes the default causation engine

Title Launch Observability at Netflix Scale

Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Auto-adaptive thresholds for AI-driven quality gating

Noisy Neighbor Detection with eBPF

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes

11 Observability Tools You Should Know

What are quality gates? How to use quality gates to deliver better software at speed and scale

Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

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In Defence of DOMContentLoaded