SQL Performance

APRIL 13, 2020

In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. This is where index tuning becomes an art. If performance improves, you're good to go! Step 6: Testing. It's rarely that simple.

Tuning 137

Tuning Cache Metrics Testing 137

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 217

Metrics Innovation Strategy Monitoring 217

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 184

Metrics Engineering Energy Tuning 184

DZone

MAY 1, 2023

The main purpose of this article and use case is to scrape AWS CloudWatch metrics into the Prometheus time series and to visualize the metrics data in Grafana. These tools give greater visibility other than collecting the metrics also, where we can set up critical alerts, live views, and custom dashboards.

AWS 263

AWS Open Source Tuning Metrics 263

Dynatrace

JANUARY 17, 2020

In an existing application landscape, however, it can be difficult to get to those metrics. A larger financial institution is using the analysis to report business metrics on dashboards and make them accessible via the Dynatrace API. Optimize your application and business performance by analyzing request- and service-based metrics.

Metrics 161

Metrics Code Tuning Programming 161

Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 151

Metrics Open Source Tuning Analytics 151

The Netflix TechBlog

DECEMBER 7, 2020

VMAF is a video quality metric that Netflix jointly developed with a number of university collaborators and open-sourced on Github. VMAF has become a de facto standard for evaluating the performance of encoding systems and driving encoding optimizations. This tech blog highlights our recent progress toward this goal.

Metrics 159

Metrics Open Source Tuning Speed 159

The Netflix TechBlog

JUNE 14, 2023

This blog post will share broadly-applicable techniques (beyond GraphQL) we used to perform this migration. 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.

Traffic 358

Traffic Latency Metrics Cache 358

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 181

AWS Metrics Analytics Government 181

Dynatrace

SEPTEMBER 15, 2020

In my recent Performance Clinic with Stefano Doni , CTO & Co-Founder of Akamas , I made the statement, “Application development and release cycles today are measured in days, instead of months. Increase in environment complexity and increased frequency in delivery requires a novel approach to performance optimization.

Performance 190

Performance Java Metrics Cloud 190

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet.

Network 327

Network Transportation AWS Cloud 327

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 258

Open Source Metrics Analytics Tuning 258

Dynatrace

FEBRUARY 5, 2020

Select a Metric and Aggregation to get started. You can choose any standard Dynatrace metric and any request attribute. Simply switch the metric to Failure rate to find out if there was an error that might have impacted your platinum customers. You might guess that the relatively long booking time is caused by a failure.

Metrics 166

Metrics Code Tuning Monitoring 166

The Netflix TechBlog

NOVEMBER 11, 2022

Synthetic Minority Over-sampling Technique Evaluation Metrics For evaluating the performance of the anomaly detection models we consider a set of evaluation metrics and report their values. For the one-class as well as binary anomaly detection task, such metrics are accuracy, precision, recall, f0.5,

C++ 322

C++ Metrics Tuning Strategy 322

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MAY 30, 2020

Dynatrace Visually complete is a point-in-time web performance metric that measures when the visual area of a page has finished loading. Dynatrace is the only solution that provides these user experience metrics consistently for real user monitoring as well as for synthetic monitors. More precisely, you can now: .

Metrics 133

Metrics Performance Benchmarking Monitoring 133

Dynatrace

APRIL 20, 2020

Issues that manifest themselves as performance degradation on a user’s device can often be traced back to underlying infrastructure issues. Monitor additional metrics. Additionally, we’re further extending our infrastructure mode with runtime metrics for: Java.NET. All of these metrics are now part of infrastructure mode.

Infrastructure 151

Infrastructure Metrics Java Virtualization 151

Dynatrace

JULY 10, 2023

These environments are marked by continuous delivery of microservice updates into production, the abstractions inherent in Kubernetes environments, and challenges associated with applications distributed across multicloud environments—often with performance and security risks. Dynatrace was recognized as Compuware from 2010-2014.

Monitoring 226

Monitoring Retail Performance Government 226

CSS Wizardry

NOVEMBER 3, 2020

A couple of years ago, my first few days on a new web performance project were always slow going. Unless a client hires you to specifically improve the performance of one page, you’ll need a broad view of the whole site or application. Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics.

Speed 325

Speed Ecommerce Metrics Analytics 325

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 142

Metrics Open Source Lambda Serverless 142

Dynatrace

APRIL 23, 2019

Synthetic monitors provide a perfect means of continually monitoring the performance baselines of your web applications. However, understanding the performance of different application types requires an emphasis on different performance metrics, that is, key performance metrics.

Metrics 102

Metrics Monitoring Performance Speed 102

Dynatrace

MAY 23, 2024

Performance is usually a primary concern when using stream processing frameworks. See more about the performance of stream processing frameworks in our published paper. ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks.

Engineering 187

Engineering Tuning Latency Open Source 187

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. Telemetry Telemetry involves collecting and analyzing data from distributed sources to provide insights into how a system is performing. There are three main types of telemetry data: Metrics.

Latency 240

Latency Best Practices Metrics Open Source 240

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Prometheus in Kubernetes ?and

Technology 224

Technology Technology Metrics Infrastructure 224

The Netflix TechBlog

JUNE 13, 2023

A small percentage of production traffic is redirected to the two new clusters, allowing us to monitor the new version’s performance and compare it against the current version. By tracking metrics only at the level of service being updated, we might miss capturing deviations in broader end-to-end system functionality.

Traffic 285

Traffic Metrics Systems Strategy 285

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring.

Cloud 262

Cloud Azure Analytics Open Source 262

Scalegrid

MARCH 4, 2019

We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks. Other category, including migrations, queries, comparing, tuning, and replication.

Database 255

Database Metrics Systems Strategy 255

The Netflix TechBlog

FEBRUARY 18, 2022

By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

JUNE 4, 2024

While receiving no feedback on the quality or security of new features leaves developers uncertain about feature performance, delayed feedback also increases a developer’s cognitive load. For example, the team must establish specific thresholds for desired service performance behavior.

Metrics 238

Metrics Engineering Code Tuning 238

Dynatrace

MARCH 29, 2024

During a breakout session at Dynatrace Perform 2024 , Alois Mayr, principal product manager at Dynatrace, and Stefano Doni, CTO at Akamas, broke down how Dynatrace and Akamas can help organizations enhance Kubernetes cluster management. Consider a sudden drop in performance. “Additionally, we are full-stack and goal-oriented.

Engineering 233

Engineering DevOps Operating System Open Source 233

Dynatrace

FEBRUARY 19, 2021

Particularly during the COVID-19 pandemic, we’ve seen how poor application performance can impact business bottom lines and lead to lost revenue for many organizations, as laid out in our recent blog post about digital experience. with: Aggregated field metrics?rather?than?valuable?details Metrics and recommendations?rather

Google 234

Google Metrics Monitoring Network 234

Dynatrace

AUGUST 6, 2019

Defining a comprehensive user-experience metric gives rise to questions such as: How do we compare the user experience of one session to another? Which metric can be used for the purpose of reporting user experience and tracking it over a period of time? A single metric for user experience segmentation. Error metrics.

Metrics 118

Metrics Tuning Monitoring Analytics 118

DZone

MAY 1, 2020

In a software system, in order to acquire observability, we mainly implement the following aspects: logging, metrics, and tracing. Compared to monoliths, it’s much harder to troubleshoot issues and do performance tuning in microservices deployments.

Programming 165

Programming Tuning Metrics Architecture 165

The Netflix TechBlog

AUGUST 10, 2020

These are summarized below: Instead of relying on other objective metrics, such as PSNR†, VMAF is employed to guide optimization decisions. Further tuning of pre-defined encoding parameters. Performance results In this section, we present an overview of the performance of our new encodes compared to our existing H.264

Innovation 243

Innovation Traffic Network Efficiency 243

Dynatrace

MARCH 10, 2020

From that point on, Dynatrace starts writing timeseries metrics that can be used for custom charting. Different user actions also have different performance requirements. Fine-tune problem detection by setting individual anomaly detection rules for your key user actions.

Mobile 181

Mobile Monitoring Tuning Retail 181

The Netflix TechBlog

NOVEMBER 9, 2021

The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. The Performance Engineering team specializes in optimizing resource utilization at Netflix. Having a suite of tools that can provide summarized metrics for these streaming sessions is critical to the success of Netflix AV1 streaming.

Media 246

Media Open Source Software Engineering Efficiency 246

Dynatrace

APRIL 5, 2024

For a more proactive approach and to gain further visibility, other SLOs focusing on performance can be implemented. For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information.

Efficiency 232

Efficiency Traffic Tuning Metrics 232