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.

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The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Dynatrace

SEPTEMBER 27, 2024

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

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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

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DZone

OCTOBER 9, 2024

if you wanted to schedule a job, you could use the Cron binding component to implement recurring jobs on a regular defined schedule; for example, automating database backups, sending out recurring email notifications, running routine maintenance tasks, data processing, and ETL, running system updates and batch processing.

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High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

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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

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

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DZone

FEBRUARY 17, 2023

Event Stream Processing refers to the action taken on generated Events.

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DZone

AUGUST 4, 2024

This level of protection is essential as it lays the foundation for the following testing processes: integration tests, acceptance testing, and finally manual testing, including exploratory testing. We'll also touch upon automation testing , which plays an important role in ensuring code reliability and quality.

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Dynatrace

AUGUST 21, 2024

The risk of impact from an existing known vulnerability also depends on whether certain processes are using the vulnerable parts of a software component. Process group 1 doesn’t use the function that contains the vulnerability. The vulnerable function in the software package is highlighted in red.

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DZone

AUGUST 8, 2024

Anomaly detection is the process of identifying the data deviation from the expected results in a time-series data. Detecting outliers also helps in identifying the source of the deviations in processes. This deviation can have a huge impact on forecasting models if not identified before the model creation.

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DZone

JUNE 21, 2023

Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems. In this article, we will explore the differences between monitoring and observability, provide examples to illustrate their applications and highlight their respective benefits.

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DZone

MAY 15, 2023

This architectural style enables teams to develop and deploy services independently, offering flexibility and scalability to the software development process. Let's take the example of an online marketplace application.

Best Practices 312

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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 and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Ask yourself, how much data should Fluent Bit process? What is Fluent Bit?

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Dynatrace

DECEMBER 12, 2024

Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations. Visibility of all business processes starting from the back end and ending with customer experience is perhaps the biggest challenge. For example, user behavior helps identify attacks or fraud.

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Dynatrace

JULY 19, 2024

Dynatrace does this by automatically creating a dependency map of your IT ecosystem, pinpointing the technologies in your stack and how they interact with each other, including servers, processes, application services, and web applications across data centers and multicloud environments. asc | fields `Host`, `Recently Restarted?

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DZone

JULY 29, 2024

During that pause period, no customer transactions will be processed. Garbage collection throughput indicates what percentage of the application’s time is spent in processing customer transactions and what percentage of time is spent in the garbage collection activities.

Java 235

Java Strategy Metrics Processing 235

Dynatrace

SEPTEMBER 17, 2024

OpenPipeline allows you to create custom endpoints for data ingestion and process the events in the pipeline (for example, adding custom pipe-dependent fields to simplify data analysis in a later phase). Give your pipeline a name, for example, Automated discovery from Security Investigator. Ready to give this a shot yourself?

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Transportation AWS Engineering Processing 266

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

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Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Instead, they can ensure that services comport with the pre-established benchmarks.

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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”.

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Systems Traffic Architecture Mobile 334

DZone

MARCH 7, 2024

SIMD enables processors to perform the same operation on multiple data points simultaneously, making it ideal for tasks like numerical computations, image processing, and multimedia operations. In this article, we'll explore what the Vector API is, how it works, and provide examples demonstrating its usage.

Java 256

Java Processing Performance Development 256

The Netflix TechBlog

JULY 22, 2024

An example can be found in the Maestro repository wiki. In the above example, run5 fails at 5AM, then later runs are queued but do not run. This is useful if a workflow is designed to always process the latest data, such as processing the latest snapshot of an entire table each time.

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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,

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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

DZone

SEPTEMBER 21, 2020

Comparing two strings to see if they’re equal takes processing power, but not all comparisons are the same. Want your Go programs to run faster? Optimizing string comparisons in Go can improve your application’s response time and help scalability. In a previous article, we looked at How to compare strings in Go and did some benchmarking.

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Benchmarking Programming Scalability Processing 354

DZone

FEBRUARY 17, 2023

For example, have you ever noticed that, on Slack, you have your own URL “yourcompanyname.slack.com?” If this is you, you might have assumed they have a repeatable process to run thousands of apps across all their customers. Does each one have its unique and custom cloud software per customer?

AWS 283

AWS Architecture Cloud Servers 283

DZone

FEBRUARY 8, 2023

However, while over 80% of businesses say transforming to a real-time enterprise is critical to meeting customer expectations , only 12% have optimized their processes for real-time customer experiences, according to 451 Research data.

Analytics 242

Analytics Efficiency Processing Technology 242

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

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Dynatrace

JANUARY 18, 2023

Let’s look at the unique enabling characteristics of business events through two use case examples, then see how easy it’s to get started. Inventory counts, revenue reports, and service activation flows are just a few examples that demand precision. This diagram shows a few examples of business events.

Analytics 237

Analytics Retail Storage Monitoring 237

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

Open Source 279

Open Source Hardware DevOps Infrastructure 279

Dynatrace

OCTOBER 2, 2024

How logs are ingested Dynatrace offers OpenPipeline to ingest, process, and persist any data from any source at any scale. OpenPipeline ensures data security and privacy—data is collected and processed securely and compliantly, with high-performance filtering, masking, routing, and encryption—and contextualizes incoming data in real time.

Analytics 248

Analytics AWS DevOps Cloud 248

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?

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Dynatrace

FEBRUARY 21, 2024

Quality gates examples in Dynatrace Quality gates hold much promise for organizations looking to release better software faster. The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

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Speed Software Software Latency 219

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

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.),

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