The Netflix TechBlog

JANUARY 2, 2025

This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Data quality plays a huge role in this work. Need to catch up? Check out Part 1.

Analytics 190

Analytics Engineering Games Entertainment 190

Dynatrace

OCTOBER 23, 2024

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform.

Analytics 286

Analytics Logistics IoT Mobile 286

Dynatrace

MARCH 5, 2025

Fast and efficient log analysis is critical in todays data-driven IT environments. For enterprises managing complex systems and vast datasets using traditional log management tools, finding specific log entries quickly and efficiently can feel like searching for a needle in a haystack.

AWS 217

AWS Azure Best Practices Efficiency 217

Dynatrace

NOVEMBER 18, 2024

AI transformation, modernization, managing intelligent apps, safeguarding data, and accelerating productivity are all key themes at Microsoft Ignite 2024. Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

DZone

SEPTEMBER 9, 2024

Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. One key factor that significantly affects the performance of data processing is the storage format of the data.

Big Data 278

Big Data Storage Analytics Benchmarking 278

Dynatrace

FEBRUARY 4, 2025

Scale with confidence: Leverage AI for instant insights and preventive operations Using Dynatrace, Operations, SRE, and DevOps teams can scale efficiently while maintaining software quality and ensuring security and reliability. Dynatrace Dashboards , powered by Grail data lakehouse and Davis AI, offer precisely that.

Analytics 130

Analytics Efficiency DevOps Innovation 130

Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important?

Analytics 264

Analytics Network Open Source Hardware 264

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Mining and public transportation organizations commonly rely on IoT to monitor vehicle status and performance and ensure fuel efficiency and operational safety.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Ensuring observability across these environments requires access to data at a massive scale.

Analytics 264

Analytics Social Media Metrics Design 264

Dynatrace

FEBRUARY 4, 2025

Key benefits of Runtime Vulnerability Analytics Managing application vulnerabilities is no small feat. Traditional tools often overload you with data, making it challenging to identify which vulnerabilities actually put your environment at risk. Search full vulnerability descriptions for pinpoint accuracy.

Analytics 130

Analytics Internet Internet Infrastructure 130

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. requires Azure observability Data has become a pivotal asset in the current IT landscape, and AI has unequivocally become the linchpin for differentiation. Digital transformation 2.0

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

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 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

OCTOBER 29, 2024

We are in the era of data explosion, hybrid and multicloud complexities, and AI growth. Dynatrace analyzes billions of interconnected data points to deliver answers, not just data and dashboards sending signals without a path to resolution. Picture gaining insights into your business from the perspective of your users.

Innovation 288

Innovation Strategy Cloud AWS 288

Dynatrace

JUNE 26, 2024

This is where observability analytics can help. What is observability analytics? Observability analytics enables users to gain new insights into traditional telemetry data such as logs, metrics, and traces by allowing users to dynamically query any data captured and to deliver actionable insights.

Analytics 246

Analytics Infrastructure Metrics Efficiency 246

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. This has resulted in visibility gaps, siloed data, and negative effects on cross-team collaboration. At the same time, the number of individual observability and security tools has grown.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

DZone

APRIL 11, 2023

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246

Azure Analytics Storage Cloud 246

Dynatrace

JANUARY 21, 2025

However, your responsibilities might change or expand, and you need to work with unfamiliar data sets. This is where Davis AI for exploratory analytics can make all the difference. Davis AI is particularly powerful because it can be applied to any numeric time series chart independently of data source or use case.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

MARCH 17, 2025

In today’s digital landscape, ensuring payment card data security is paramount. Achieving PCI DSS compliance is crucial for any organization that handles card payments, as it helps prevent data breaches and fraud. Operations teams can operate efficiently and securely, reducing support tickets by up to 99%. What is PCI DSS?

Analytics 147

Analytics Innovation Network Efficiency 147

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. As organizations add more tools, it creates a demand for common tooling, shared data, and democratized access. But getting the value out of the data is not easy.

Analytics 246

Analytics Strategy Storage Technology 246

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

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 272

Analytics Processing Transportation Storage 272

Dynatrace

JANUARY 17, 2023

OpenTelemetry signals are often analyzed in data silos with missing context and relationships between the data and underlying topology. This leads to significant time wasted in connecting data with application workloads by manually applying labels, or by building crosslinks between the dashboards of incompatible tools.

Analytics 321

Analytics Metrics Open Source Java 321

DZone

JULY 31, 2024

However, amidst this rapid evolution, ensuring a robust data universe characterized by high quality and integrity is indispensable. While much emphasis is often placed on refining AI models, the significance of pristine datasets can sometimes be overshadowed.

Data Engineering 287

Data Engineering FinTech Engineering Analytics 287

Dynatrace

NOVEMBER 18, 2024

In such a fragmented landscape, having clear, real-time insights into granular data for every system is crucial. AI and machine learning can be used to gain deeper insights into your data, improve business outcomes, and help you pull ahead of the competition. How do you make this happen?

Strategy 243

Strategy Innovation Cloud Efficiency 243

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

NOVEMBER 27, 2024

Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources. These enhancements enable you to extract more value from your data, leading to wider adoption across enterprise departments. Figure 4: Set up an anomaly detector for peak cost events.

Best Practices 246

Best Practices Strategy Cloud Efficiency 246

Dynatrace

NOVEMBER 20, 2024

Through this integration, Dynatrace enriches data collected by Microsoft Sentinel to provide organizations with enhanced data insights in context of their full technology stack. They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues. Audit logs.

Best Practices 299

Best Practices Innovation Azure Cloud 299

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 246

Analytics Innovation Metrics Database 246

Dynatrace

MARCH 5, 2025

To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. Power usage effectiveness (PUE) is derived from data provided by the cloud providers and data center operators.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

SEPTEMBER 30, 2022

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? Business analytics begins with choosing the business KPIs or tracking goals needed for a specific use case, then determining where you can capture the supporting metrics.

Analytics 244

Analytics Best Practices Metrics IoT 244

DZone

SEPTEMBER 14, 2023

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 279

Big Data Processing Open Source Games 279

Dynatrace

APRIL 9, 2025

Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. DQL is a powerful tool to explore data across multicloud environments and Google Cloud workloads in particular. Dynatrace AppEngine.

Google 195

Google Cloud Analytics Infrastructure 195

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 264

Analytics Monitoring Artificial Intelligence DevOps 264

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. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264