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 282

Analytics Metrics Open Source Java 282

Dynatrace

AUGUST 2, 2021

Metrics matter. As objective measurements, they allow us to make data-driven decisions. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. Metric calculations help you design custom dashboards that meet the requirements of specific teams. Dynatrace news.

Metrics 246

Metrics Analytics Google Code 246

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. However, there are many obstacles and limitations along the way to becoming a data-driven organization. Understanding the context.

Analytics 195

Analytics Processing Transportation Storage 195

DZone

APRIL 3, 2020

Making sense of the average, standard deviation and percentiles in performance testing reports. There are certain performance testing metrics that are essential to understand properly in order to draw the right conclusions from your tests.

Performance Testing 226

Performance Testing Metrics Testing Performance 226

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. Data volume explosion in multicloud environments poses log issues.

Analytics 223

Analytics Storage Infrastructure Metrics 223

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. Detailed performance analysis for better software architecture and resource allocation. Dynatrace news.

Metrics 181

Metrics Analytics Software Architecture Open Source 181

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. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

DZone

FEBRUARY 20, 2023

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go.

Software Engineering 264

Software Engineering Engineering Software Software 264

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 202

Government Analytics Benchmarking Storage 202

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 203

Analytics Metrics DevOps Storage 203

DZone

FEBRUARY 25, 2021

QA performance metrics are essential for eliminating inefficient strategies and improving internal processes. They also enable managers to track the progress of their QA team over time and make data-driven decisions about future projects.

Metrics 144

Metrics Performance Strategy Engineering 144

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. Dynatrace ingests this data to perform root-cause analysis using the Dynatrace Davis® AI engine.

AWS 152

AWS Metrics Availability Lambda 152

Dynatrace

NOVEMBER 3, 2023

It also requires agencies to develop digital experiences that are user-centric and data-driven. When combined, key metrics will generate an accurate CX index score. But which metrics should your agency include? But which metrics should your agency include? Abandonment rate and data.

Metrics 216

Metrics Government Website Monitoring 216

DZone

MAY 15, 2020

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. Without application performance monitoring in place, you can’t accurately determine how well things are going. Is the app performant? The first step to gather this type of data is application monitoring.

Metrics 246

Metrics Performance Development Monitoring 246

Dynatrace

SEPTEMBER 14, 2022

With digital systems growing exponentially in size and complexity, industry trends like AIOps and DevSecOps are becoming the norm for application performance m onitoring (APM) and observability tools such as Dynatrace. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead?

Metrics 231

Metrics Analytics Monitoring Efficiency 231

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

AUGUST 5, 2020

Synthetic monitors are also the perfect tool to monitor performance baselines. This clean-room, lab-like environment allows you to react to slight changes in performance. It also gives you the first indication of whether a new deployment of your application or API leads to a performance improvement or, perhaps, a regression.

Metrics 217

Metrics Monitoring Performance Benchmarking 217

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 228

Metrics Operating System Tuning Monitoring 228

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. The post Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest appeared first on Dynatrace news.

Google 222

Google Metrics Cloud Analytics 222

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 202

DevOps Metrics Traffic Efficiency 202

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 263

Artificial Intelligence Analytics Metrics Storage 263

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. Detailed performance analysis for better software architecture and resource allocation. Dynatrace news.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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 203

Metrics Infrastructure Open Source Database 203

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 237

Media Traffic Processing Design 237

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 188

Analytics Innovation Metrics Database 188

DZone

JUNE 11, 2023

Application logs and metrics are vital for any application development or maintenance process. They provide valuable information about the application's performance, errors, and user behavior, which can be used to identify and resolve issues quickly. That's where Elasticsearch and Kibana come in.

Metrics 141

Metrics Open Source Analytics Engineering 141

Dynatrace

FEBRUARY 15, 2023

Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Observability and application security use cases rely on data.

Analytics 232

Analytics Social Media Metrics Efficiency 232

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. OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable.

Metrics 182

Metrics Open Source Traffic Cache 182

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 185

DevOps Analytics Storage Metrics 185

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 269

Artificial Intelligence Analytics Storage Architecture 269

DZone

OCTOBER 4, 2023

A system becomes 'observable' when it is possible to estimate the current state using only information from outputs, namely sensor data. You can use the data from Observability to identify and troubleshoot problems, optimize performance, and improve security.

Metrics 109

Metrics Systems Performance 109

Dynatrace

DECEMBER 9, 2020

Recently we simplified observability for custom metrics and opened up Dynatrace OneAgent for integration of metrics from various sources like StatsD , Telegraf , and Prometheus. We’re therefore happy to introduce the new metric browser , available as an Early Adopter release with Dynatrace version 1.207.

Metrics 148

Metrics Analytics Availability Monitoring 148

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. By identifying subtle deviations in system behavior, engineers can take preemptive measures to avert potential downtime, performance issues, or security threats. Capacity planning.

Artificial Intelligence 264

Artificial Intelligence DevOps Analytics Engineering 264

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics.

Metrics 245

Metrics Analytics Storage Monitoring 245

Dareboost

OCTOBER 24, 2023

Web performance metrics are essential to the success of any online business. They provide valuable data about user experience, site speed, and overall website functionality. Site speed, in particular, is a crucial performance metric. It influences user engagement and conversion rates.

Website 52

Website Metrics Performance Speed 52

Dynatrace

AUGUST 25, 2023

This article explores SLOs for service performance. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort.

Performance 176

Performance Latency Traffic Metrics 176

DZone

JANUARY 23, 2023

One of my favorite things about QuestDB is the ability to write queries in SQL against a high-performance time series database. Since I’ve been using SQL as my primary query language for basically my entire professional career, it feels natural for me to interact with data using SQL instead of other newer proprietary query languages.

Metrics 124

Metrics Infrastructure Database Cloud 124