Dynatrace

SEPTEMBER 1, 2022

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

Analytics 175

Analytics Ecommerce Metrics Innovation 175

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 180

Analytics Storage Retail Monitoring 180

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 266

Artificial Intelligence Analytics Storage Architecture 266

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 207

Analytics Monitoring Artificial Intelligence DevOps 207

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.

Metrics 227

Metrics Analytics Monitoring Efficiency 227

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 226

Processing Data Engineering Efficiency Analytics 226

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 184

Performance DevOps Innovation Artificial Intelligence 184

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. What is late-arriving data? Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

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 210

Mobile Analytics Best Practices Software Engineering 210

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 18, 2021

A key element of effectively leveraging observability is analyzing telemetry data in context. Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. PurePath traces provide a transaction-centric view across all telemetry data.

Analytics 222

Analytics Cloud Java Serverless 222

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?

Mobile 178

Mobile Analytics Monitoring Best Practices 178

Dynatrace

FEBRUARY 25, 2020

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 206

Analytics Metrics Best Practices Servers 206

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Teams need data visualized in different ways so they can make informed decisions.

Analytics 170

Analytics Artificial Intelligence Metrics Design 170

Dynatrace

AUGUST 14, 2020

Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Dynatrace news. How can I get started ? . It’s easy.

Analytics 264

Analytics Cloud Retail Monitoring 264

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 260

Google Innovation Cloud Analytics 260

Dynatrace

FEBRUARY 9, 2021

How do I solve issues quickly while meeting every regional data privacy regulation? Most monitoring tools lack stringent data privacy controls, which could impact the data privacy of end-users. How do I connect the dots between mobile analytics and performance monitoring? Location data masking. IP address masking.

Analytics 205

Analytics Mobile Performance Monitoring 205

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

DECEMBER 18, 2020

The app pulls all of the data from GitHub and Dynatrace APIs. With that simple copy-paste, I now have all the performance, errors, and user experience data for BizOpsConfigurator! Message passing should be used to get the monitoring data from the webpage context to the extension. Dashboard Powerups. How can I segment them?

Analytics 136

Analytics Metrics IoT Monitoring 136

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer on the Product Data Science and Engineering team.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

AUGUST 2, 2021

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. The Data explorer. Custom threshold colors can make charted metrics more glanceable, while table data or lists can speed drilldown analysis.

Metrics 245

Metrics Analytics Google Code 245

DZone

JUNE 29, 2020

Today data is an important factor for business success. In every business, it has been observed that data is playing a game-changing moment to improve business performance. Data is important and necessary in this increasingly competitive world. Data comes in large volumes everywhere and in complex structures.

Games 363

Games Performance Big Data Analytics 363

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

MARCH 18, 2024

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. Because of its flexibility, this open source approach to instrumenting and collecting telemetry data is becoming increasingly important in large-size organizations.

Scalability 261

Scalability Open Source Analytics Innovation 261

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 194

Analytics Retail Metrics Mobile 194

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 274

Efficiency Performance Analytics DevOps 274

Dynatrace

JUNE 18, 2019

To do this you need to break-down silos of information, democratize data access, and rely on a common data set. For example, I’ll get asked “We are using Adobe Analytics/Omniture SiteCatalyst , would we retire this when we use Dynatrace?” Cool parts of integrating Adobe Analytics and Dynatrace.

Analytics 134

Analytics Cloud Website Monitoring 134

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Common examples of data points that makes sense to have in many systems are: Session IDs.

Analytics 138

Analytics Mobile Airlines Monitoring 138

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is causal AI?

AWS 207

AWS Artificial Intelligence Analytics Cloud 207

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 214

Traffic AWS Network Cloud 214

Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. Using AppEngine as the foundation, they fed disk utilization data into Davis ® AI to forecast the required resizing operation.

AWS 219

AWS Analytics Cloud Monitoring 219

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. Ingest data via OneAgent rather than our REST API. Dynatrace news. curl -d " batchjobs.execution.fails,jobname=payslip 1 " [link].

Metrics 245

Metrics Analytics Storage Monitoring 245

Uber Engineering

SEPTEMBER 2, 2021

One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog. The team transforms Uber’s ideas into agile, global solutions by designing and implementing scalable solutions.

Analytics 142

Analytics AWS Programming Scalability 142

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. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 199

Analytics Infrastructure Efficiency Technology 199

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily.

Metrics 178

Metrics Analytics Software Architecture Open Source 178

Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Grail buckets function like folders in a file system.

Storage 165

Storage Healthcare Best Practices Speed 165

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 201

Technology Technology Artificial Intelligence Analytics 201