The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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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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Processing Data Engineering Efficiency Analytics 230

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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Processing Big Data Efficiency Engineering 214

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 272

Analytics Processing Transportation Storage 272

Dynatrace

FEBRUARY 24, 2025

Business processes support virtually all aspects of an organizations operations. Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance.

Processing 147

Processing Analytics Infrastructure Monitoring 147

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.

Scalability 318

Scalability Design Database Processing 318

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.

Design 334

Design Media Storage Logistics 334

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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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 360

Best Practices Code Testing Data Engineering 360

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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Dynatrace

FEBRUARY 25, 2025

This blog post dissects the vulnerability, explains how Struts processes file uploads, details the exploit mechanics, and outlines mitigation strategies. This allows developers to easily access and process the file without handling the upload mechanics directly. Heres an example of what the action class should look like.

Servers 214

Servers Processing Java Tuning 214

DZone

FEBRUARY 17, 2023

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

Processing 285

Processing Systems Development 285

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?

Best Practices 279

Best Practices IoT Metrics Storage 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 304

Analytics AWS DevOps Cloud 304

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.

Testing 288

Testing Software Software Code 288

Dynatrace

JANUARY 21, 2025

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. For example, if you’re monitoring network traffic and the average over the past 7 days is 500 Mbps, the threshold will adapt to this baseline.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

OCTOBER 23, 2024

Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform. Real-time customer experience remediation identifies and informs the organization about any issues and prevents them in the experience process sooner.

Analytics 286

Analytics Logistics IoT Mobile 286

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.

AWS 305

AWS Efficiency Azure Cloud 305

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.

Processing 273

Processing 273

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.

Software 306

Software Software Benchmarking Latency 306

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?

Airlines 334

Airlines Servers Retail Monitoring 334

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. Lack of visibility into business processes to improve, optimize, and remediate issues and systems harms business success.

Analytics 285

Analytics Latency Processing Systems 285

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?

Transportation 290

Transportation AWS Engineering Processing 290

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.

DevOps 324

DevOps Systems Monitoring Metrics 324

Dynatrace

OCTOBER 4, 2024

Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This process begins when the developer merges a code change and ends when it is running in a production environment.

Software 278

Software Software Development Performance 278

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

Best Practices Architecture Scalability Software 312

Dynatrace

JUNE 4, 2024

This process, known as auto-adaptive thresholding, eliminates the need to define a static threshold upfront. For example, the team must establish specific thresholds for desired service performance behavior. For instance, if an objective is violated, they’re immediately notified, for example, through a Slack channel.

Metrics 297

Metrics Engineering Code Tuning 297

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?

Automotive 290

Automotive Latency Architecture Mobile 290

Dynatrace

MARCH 27, 2024

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. An example via Monaco can be found in this public GitHub repository.

Best Practices 263

Best Practices Azure Database Code 263

Dynatrace

JANUARY 22, 2025

By integrating Dynatrace with GitHub Actions, you can proactively monitor for potential issues or slowdowns in the deployment processes. Automating GitHub runner data ingestion with Dynatrace workflows Workflows within the Dynatrace SaaS platform are a robust tool for automating complex processes.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

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.

Speed 264

Speed Software Software Latency 264

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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Artificial Intelligence Cloud Innovation Strategy 325

Dynatrace

JANUARY 22, 2025

Dynatrace Simple Workflows make this process automatic and frictionlessthere is no additional cost for workflows. Why manual alerting falls short As your product and deployments scale horizontally and vertically, the sheer volume of data makes it impossible for teams to catch every error quickly using manual processes.

Development 245

Development Processing Monitoring Code 245

Dynatrace

DECEMBER 21, 2023

And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern).

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Cloud Energy Best Practices Cache 264

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

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 299

Open Source Hardware DevOps Infrastructure 299

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.* A best practice to avoid these problems is to store data in a single data lakehouse with massively parallel processing, such as Dynatrace Grail.

Best Practices 290

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