The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 244

Analytics Engineering Data Engineering Tuning 244

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Limited data availability constrains value creation. Even in cases where all data is available, new challenges can arise.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.

Analytics 229

Analytics Metrics Database Storage 229

Dynatrace

JULY 24, 2024

Dynatrace Smartscape® technology provides all data in context to simplify analytics and problem detection by semantically mapping metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services. Dynatrace observability is available for Red Hat OpenShift on IBM Power.

Availability 255

Availability Infrastructure Metrics Monitoring 255

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 222

Analytics Monitoring Artificial Intelligence DevOps 222

Dynatrace

AUGUST 29, 2024

This information is essential for later advanced analytics and aircraft tracking. In our example, the ADS-B application provides an excellent visual representation for short-term live monitoring purposes. They provide detailed information that, when sent to Dynatrace, enables data analytics and improved decision-making capabilities.

IoT 223

IoT Analytics Transportation Metrics 223

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 226

Analytics Storage Retail Monitoring 226

Dynatrace

AUGUST 20, 2024

Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Executives drive business growth through strategic decisions, relying on data analytics for crucial insights.

Analytics 219

Analytics Latency Processing Systems 219

Dynatrace

MAY 28, 2024

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. For example, OneAgent helps you monitor the logs from a Kubernetes environment with automatic enrichment that identifies the right cluster, namespace, container, and pod ID. Already have a Dynatrace account?

Analytics 194

Analytics Infrastructure Database Monitoring 194

Dynatrace

NOVEMBER 18, 2021

By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting. The example below includes analysis of a payment issue.

Analytics 234

Analytics Cloud Java Serverless 234

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 224

Mobile Analytics Best Practices Software Engineering 224

Dynatrace

JANUARY 12, 2022

An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Dynatrace news. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 199

Analytics Systems DevOps Healthcare 199

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.

Analytics 188

Analytics Ecommerce Metrics Innovation 188

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 201

Analytics Artificial Intelligence Big Data Open Source 201

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 193

Analytics Storage Retail Monitoring 193

Dynatrace

JANUARY 31, 2024

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 203

Analytics Processing Transportation Storage 203

Dynatrace

FEBRUARY 9, 2021

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. Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 217

Analytics Mobile Performance Monitoring 217

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Now, that same full-spectrum value is available at the massive scale of the Dynatrace Grail data lakehouse.

Analytics 198

Analytics Innovation Metrics Database 198

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 263

Cloud Lambda AWS Analytics 263

Dynatrace

MAY 5, 2020

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. Google Analytics.

Analytics 152

Analytics Metrics Google Tuning 152

Dynatrace

DECEMBER 12, 2024

Boost your operational resilience: Combining availability and security is now essential. Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. For example, user behavior helps identify attacks or fraud.

Analytics 214

Analytics Government Efficiency Innovation 214

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.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. If you can collect the relevant data (and that’s a big if), the problem shifts to analytics.

Processing 262

Processing Monitoring Analytics C++ 262

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. For example, cloud operations professionals can identify problems before they affect users.

Analytics 130

Analytics Storage Cloud DevOps 130

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.

Metrics 246

Metrics Analytics Google Code 246

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Digital Business Analytics.

Analytics 253

Analytics Infrastructure AWS Operating System 253

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics 225

Analytics Storage Infrastructure Metrics 225

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

Dynatrace

NOVEMBER 17, 2020

In this example you can see on the left side that the Envoy payment service is running on a Linux host, deployed in the Google cloud. PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments. In this specific example these are embedded into a custom GoLang application.

Analytics 164

Analytics Technology Technology Cloud 164

Dynatrace

OCTOBER 6, 2023

For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes. In conjunction with the previous example of keeping high-volume and short-lived logs separate, you might also need to keep your application data longer. Now, let’s take a look at a query example that puts this all into use.

Artificial Intelligence 270

Artificial Intelligence Metrics Analytics Storage 270

Dynatrace

JULY 1, 2020

In my last blog , I’ve provided an example of this happening, whereby the traffic spiked and quadrupled the usual incoming traffic. The multi-dimensional analytics in the screenshot below is an example. Add the five metrics on a dashboard like the example below.

Traffic 264

Traffic Analytics Metrics Servers 264

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. In the screenshot below you can see an example of such a request attribute.

Analytics 141

Analytics Mobile Airlines Monitoring 141

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. An application example is a session store recording recent actions. Application example: photo tagging; add a tag is an update, but most operations are to read tags. Author & founder of BangDB. Workload C: Read only.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. This feature is readily available on both the Dynatrace tenant and Environment ActiveGate. Dynatrace OneAgent has an internal mechanism that ingests only necessary log data.

Serverless 233

Serverless Analytics AWS Azure 233

Dynatrace

NOVEMBER 4, 2024

Metadata enrichment improves collaboration and increases analytic value. The Dynatrace® platform continues to increase the value of your data — broadening and simplifying real-time access, enriching context, and delivering insightful, AI-augmented analytics. Our Business Analytics solution is a prominent beneficiary of this commitment.

Analytics 174

Analytics Airlines Metrics Monitoring 174

Dynatrace

JULY 11, 2023

Having all data in context tremendously simplifies analytics and problem detection. It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of the monitoring infrastructure.

Architecture 178

Architecture Availability Infrastructure Monitoring 178