Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes? What is business analytics? Why business analytics matter.

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Analytics Ecommerce Metrics Innovation 245

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

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Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

FEBRUARY 9, 2021

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 276

Analytics Mobile Performance Monitoring 276

DZone

NOVEMBER 23, 2021

There are umpteen tools available to check the internet speed. SpeedTest, Speed from Cloudflare , Netflix's Fast , or if you use Google search , you can test the internet speed and its analytics. In this blog article, we will deep dive into network quality and its usage.

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Internet Internet Speed Network 189

Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?

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Mobile Analytics Monitoring Best Practices 245

Dynatrace

OCTOBER 28, 2019

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Digital and Business Analytics. Using Davis, the AI Engine.

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Google Analytics Traffic Operating System 202

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 246

Mobile Analytics Best Practices Software Engineering 246

Dynatrace

OCTOBER 12, 2023

It helps create patterns, provides instant feedback, and allows you to save and reuse DPL patterns, for faster access to data analytics use cases. DPL Architect enables you to quickly create DPL patterns, speeding up the investigation flow and delivering faster results.

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Speed AWS C++ Availability 235

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

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Efficiency Performance Analytics DevOps 306

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. Apache Kafka, designed for distributed event streaming, maintains low latency at scale.

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Latency Analytics Architecture Storage 147

Dynatrace

MARCH 5, 2025

In this blog post, well explore how these features boost productivity and accelerate access to the right data sets using shortcuts like segments. Simplified collaboration Individual users and teams can share segments to ensure consistent filtering logic across apps, dashboards, or even business analytics use cases.

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AWS Azure Efficiency Best Practices 217

The Netflix TechBlog

FEBRUARY 14, 2025

In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily. Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries.

Tuning 166

Tuning Latency Efficiency Storage 166

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum?

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Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

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Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

OCTOBER 15, 2020

The scale and speed of the program triggered challenges for these banks that they had never before imagined. Speed up loan processing to deliver critically needed relief to small businesses? Full speed ahead. Let your Dynatrace Sales Engineer know you want to get started with Digital Business Analytics. Derek Darling.

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Small Business Programming Analytics Speed 264

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

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Performance Mobile Analytics Innovation 278

Dynatrace

FEBRUARY 6, 2025

In this blog series, we’ll guide you through creating powerful dashboards that transform complex data into actionable insights. In our next blog post, we’ll further enhance this dashboard with AI and increase its visual appeal and usability.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. Learn more in this blog. Such a comprehensive, unified approach helps boost an organization’s cyber resilience. AI observability accelerates AI benefits.

Analytics 245

Analytics Government DevOps Efficiency 245

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? What is predictive AI? What is AIOps?

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AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

OCTOBER 25, 2023

VMware Aria Operations for Logs (formerly known as vRealize Log Insight) is used across enterprises to collect logs and provide analytics. In this blog post, we show how to discover the original attacks toward the Aria Operations for Logs vulnerability using Dynatrace and DQL by finding the IoC-s from the log records. download_file '.tar')):url

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Analytics Operating System Code Servers 306

Dynatrace

OCTOBER 6, 2023

Custom data buckets for faster queries, increased control, and custom retention periods The first layer in the Grail data model consists of buckets and tables (and views for entities, which is outside this blog post’s scope). This improves query speeds and reduces related costs for all other teams and apps.

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Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

OCTOBER 4, 2024

This blog post focuses on pipeline observability as a method for monitoring the software delivery capabilities of an organization’s IDP. Automate delivery processes: Ideally, an improvement entails introducing automation to eliminate manual tasks, foster collaboration, or speed up processes.

Software 278

Software Software Development Performance 278

MachMetrics

APRIL 24, 2019

All of the popular speed testing tools typically provide a page speed score along with their objective results. Google PageSpeed Insights has a their “Speed Score.” While these do have a purpose, most people use them incorrectly, in a way that can be dangerous to your real site speed. seconds to.27 27 seconds!

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Speed Best Practices Google Website 111

Dynatrace

MAY 15, 2019

If you want to get up to speed, check out my recent Performance Clinics: “ AI-Powered Dashboarding ” and “ Advanced Business Dashboarding and Analytics ”. They typically keep a list of important links, important contacts, blogs, etc. I want to end the blog with a remark that Chad put in his last email to me.

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Analytics Speed Infrastructure Servers 52

Dynatrace

AUGUST 2, 2021

But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. Often referred to as calculated metrics (see Adobe Analytics and Google Analytics ), such metric processing takes one or more existing metrics as input to create a new user-defined metric. Dynatrace news.

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Metrics Analytics Google Code 246

Dynatrace

JANUARY 23, 2024

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Check back here throughout the event for the latest news, insights, and announcements. What is explainable AI? Enter causal AI.

Performance 246

Performance DevOps Innovation Artificial Intelligence 246

Dynatrace

APRIL 9, 2020

One of the major pharmacy chains in Mexico started focusing on real-time end-user analytics captured by Dynatrace to determine where and which products were the most purchased. With this real-time information, they can speed up product inventory replenishment schedules and move merchandise to where it is most needed. SERVICE PROVIDER.

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Retail Government Infrastructure Mobile 255

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Automated issue resolution.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. And why runtime vulnerability detection makes the difference – blog Vulnerability management is an essential part of securing IT operations. What is DevSecOps? Learn how security improves DevOps.

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DevOps Analytics Best Practices Java 246

Dynatrace

APRIL 6, 2022

With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Full-stack observability helps DevOps teams quickly identify potential issues in the CI/CD pipeline , fixing problems with greater speed and confidence. Improve business decisions with precision analytics. Watch webinar now!

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DevOps Innovation Infrastructure Cloud 303

Dynatrace

OCTOBER 8, 2020

Serverless functions extend applications to accelerate speed of innovation. From here you can use Dynatrace analytics capabilities to understand the response time, or failures, or jump to individual PurePaths. This means, you don’t need to change even a single line of code in the serverless functions themselves.

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Lambda AWS Programming Serverless 345

Dynatrace

APRIL 11, 2023

Dynatrace ‘DevSecOps Lifecycle Coverage with Snyk’ eliminates security coverage blind spots – blog DevSecOps Lifecycle Coverage with Snyk, a new app developed with Dynatrace® AppEngine, enables teams to mitigate security risks across pre-production and production environments, including runtime vulnerability detection, blocking, and remediation.

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Cloud DevOps Open Source Retail 246

Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. T he Dynatrace Software Intelligence Platform includes multiple modules, underpinned by a common data model.

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DevOps Innovation Monitoring Analytics 264

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

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Serverless Infrastructure Innovation DevOps 312

Dynatrace

MAY 15, 2020

Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. Today, security teams often employ SIEMs for log analytics.

Government 278

Government DevOps Infrastructure Network 278

Dynatrace

MAY 7, 2019

Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. Universal container-level metrics for resource contention analytics. appeared first on Dynatrace blog. Native integration of Kubernetes/OpenShift node events with the Davis AI causation engine.

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Monitoring Architecture Metrics Analytics 262