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. Data is then dynamically routed into pipelines for further processing.

Analytics 203

Analytics Processing Transportation Storage 203

DZone

APRIL 21, 2023

Test tools are software or hardware designed to test a system or application. Some test tools are intended for developers during the development process, while others are designed for quality assurance teams or end users.

Testing Tools 196

Testing Tools Best Practices Testing Hardware 196

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 204

Design Storage Programming Analytics 204

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

DZone

MARCH 24, 2021

If, say, your automatic process relies on a manually edited Excel sheet on a Windows share and someone left it open during the weekend – I’m not making this up – you’re toast anyway. Here's a real-world example. In practice, however, you will benefit more from building for failure than trying to simulate every possible fault scenario.

Testing 200

Testing Design Software Performance Database 200

The Netflix TechBlog

FEBRUARY 18, 2022

Event Prioritization Considering the use cases were wide ranging both in terms of their sources and their importance, we built segmentation into the event processing. For example, a member-triggered event such as “ change in a profile’s maturity level” should have a much higher priority than a “ system diagnostic signal”.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend. Ask yourself, how much data should Fluent Bit process?

Best Practices 255

Best Practices IoT Metrics Storage 255

The Netflix TechBlog

DECEMBER 3, 2022

And by “sample” we mean “an example”, like food samples in your local grocery store. Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. test_sparksql_write.py

Best Practices 362

Best Practices Code Testing Data Engineering 362

Dynatrace

JANUARY 26, 2021

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.

DevOps 281

DevOps Best Practices Open Source Tuning 281

The Netflix TechBlog

MARCH 10, 2023

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. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns). N, first N rows are fetched from the table.

Media 245

Media Traffic Processing Design 245

The Netflix TechBlog

NOVEMBER 17, 2022

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. We have also measured a ~4.4%

Network 302

Network Media Innovation Efficiency 302

The Netflix TechBlog

MARCH 14, 2023

An example of using Machine Learning to find shots of Eleven in Stranger Things and surfacing the results in studio application for the consumption of Netflix video editors. Here is an example of the desired output when the user searches for “red race car” across the entire content library. Processing took several hours to complete.

Media 301

Media Innovation Energy Architecture 301

The Netflix TechBlog

JULY 22, 2024

What is Maestro Maestro is a general-purpose, horizontally scalable workflow orchestrator designed to manage large-scale workflows such as data pipelines and machine learning model training pipelines. The transition was seamless, and Maestro has met our design goals by handling our ever-growing workloads. increase in executed jobs.

Strategy 260

Strategy Scalability Code Engineering 260

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

DZone

SEPTEMBER 6, 2022

For example, each deliverable in the project, like the requirements, design, code, documents, user interface, etc., Testing can also be divided based on the sub-stages or activities in testing, for instance, test case generation and design, test case execution and verification building of the testing database, etc.

Testing 246

Testing Programming Design Code 246

Dynatrace

APRIL 19, 2024

Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability.

AWS 233

AWS Analytics Cloud Monitoring 233

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management.

Best Practices 275

Best Practices DevOps Education Serverless 275

Dynatrace

OCTOBER 8, 2020

They may be used to, for example, integrate a new payment service or create a new interface for a booking platform. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). For the Checkout function example (see below), the median response time is around 580ms.

Lambda 307

Lambda AWS Programming Serverless 307

The Netflix TechBlog

NOVEMBER 15, 2022

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. This program is just one example of the many ways Netflix strives to entertain the world. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

Cloud 293

Cloud Entertainment AWS Infrastructure 293

The Netflix TechBlog

SEPTEMBER 28, 2021

We identified common design patterns and architectures scattered across various tools which were all duplicating efforts in some way or another. By designing to rigid interfaces defined by a host application, both the plugin and host can be developed in parallel. In our example, we need to define two areas that can be extended?—?the

Best Practices 244

Best Practices Design Development Processing 244

The Netflix TechBlog

DECEMBER 23, 2020

For example, the PID namespace makes it so that a process can only see PIDs in its own namespace, and therefore cannot send kill signals to random processes on the host. For example, the CAP_SYS_BOOT capability controls the ability of a given user to reboot the machine. Let’s go back to that kernel code example earlier.

Media 297

Media Metrics Systems Processing 297

The Netflix TechBlog

SEPTEMBER 18, 2024

In this post, we dive deep into how Netflix’s KV abstraction works, the architectural principles guiding its design, the challenges we faced in scaling diverse use cases, and the technical innovations that have allowed us to achieve the performance and reliability required by Netflix’s global operations.

Latency 254

Latency Storage Cache Efficiency 254

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 298

Artificial Intelligence Cloud Innovation Strategy 298

Dynatrace

DECEMBER 21, 2023

Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern).

Cloud 222

Cloud Energy Best Practices Cache 222

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. This process can also be used to track the provenance of increments.

Latency 253

Latency Cache Infrastructure Strategy 253

Dynatrace

AUGUST 2, 2021

To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. 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.

Metrics 246

Metrics Analytics Google Code 246

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Suboptimal architecture design. Poorly designed cloud solutions can become costly over time. Aligning workload types and sizes with instance performance and capacity requirements is essential to keep costs down.

Best Practices 245

Best Practices Strategy Cloud AWS 245

Dynatrace

MAY 21, 2024

The whole experience is designed to fit into your individual data governance and compliance framework. With this three-layer design, you enjoy maximum flexibility in managing sensitive data points end-to-end. The selected rules can be configured for a whole environment or, more granularly, for specific process groups.

Government 221

Government Storage Tuning Monitoring 221

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* Thus, organizations face the critical problem of designing and implementing effective solutions to manage this growing data deluge and its associated implications.

Best Practices 256

Best Practices Analytics Artificial Intelligence Infrastructure 256

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 254

Latency Storage Big Data Tuning 254

The Netflix TechBlog

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata. either a movie or an episode within a show). mp4, clip1.mp4,

Media 299

Media Storage Infrastructure Systems 299

Dynatrace

JULY 24, 2024

By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes. Dynatrace is designed to scale easily across the entire Kubernetes stack.

Availability 255

Availability Infrastructure Metrics Monitoring 255

Dynatrace

JUNE 10, 2024

For example, an organization might use security analytics tools to monitor user behavior and network traffic. Security analytics solutions are designed to handle modern applications that rely on dynamic code and microservices. Infrastructure type In most cases, legacy SIEM tools are on-premises.

Analytics 243

Analytics Network Open Source Hardware 243

Dynatrace

OCTOBER 16, 2023

Synthetic testing is an IT process that uses software to discover and diagnose performance issues with user journeys by simulating real-user activity. For example, teams can program synthetic test tools to send large volumes of simultaneous resource requests to a new application and evaluate how well it responds.

Testing 221

Testing Best Practices Testing Tools Monitoring 221

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 273

Data Engineering Engineering Processing Games 273

The Netflix TechBlog

MARCH 25, 2019

You are designing a learning system to forecast Service Level Agreement (SLA) violations and would want to factor in all upstream dependencies and corresponding historical states. Design a flexible data model ? —?Represent Therefore, the ingestion approach for data lineage is designed to work with many disparate data sources.

Infrastructure 226

Infrastructure Big Data Transportation Architecture 226

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 259

AWS Efficiency Azure Cloud 259