The Netflix TechBlog

OCTOBER 18, 2022

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.

Java 202

Java Scalability Traffic Architecture 202

High Scalability

FEBRUARY 19, 2021

As a basis for that discussion, first some definitions: Dependability The degree to which a product or service can be relied upon. This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. Availability and Reliability are forms of dependability.

Engineering 215

Engineering Systems Scalability Availability 215

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

NOVEMBER 14, 2023

These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. This is made possible through generative AI’s natural language processing capabilities. For organizations building business-centric SLOs, Aguiar had some recommendations. “If

Best Practices 197

Best Practices Engineering DevOps Software Engineering 197

Dynatrace

MARCH 27, 2024

Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. How to efficiently introduce team ownerships Dynatrace provides different ways of associating team ownership with entities and adding desired team metadata, such as contact details, to your environments.

Best Practices 204

Best Practices Azure Database Code 204

DZone

JULY 11, 2023

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. AI encompasses various techniques, including machine learning, natural language processing , computer vision, and robotics.

Artificial Intelligence 109

Artificial Intelligence Healthcare Network Transportation 109

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). As a result, we created Grail with three different building blocks, each serving a special duty: Ingest and process. Ingest and process with Grail.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, All these definitions are distinct and important. Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. This does not include lag time in the alert system.

DevOps 212

DevOps Artificial Intelligence Metrics Network 212

Dynatrace

SEPTEMBER 28, 2021

As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal.

DevOps 206

DevOps Metrics Traffic Efficiency 206

Dynatrace

DECEMBER 6, 2022

Observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Comprehensive observability eliminates siloed views of the system and establishes a common means to observe, measure, and act on insights. Check out the full webinar here!

DevOps 224

DevOps Metrics Engineering Speed 224

Randon ASCII

OCTOBER 1, 2023

Memory is a relatively scarce resource on many consumer computers, so a feature to limit how much memory a process uses seems like a good idea, and Microsoft did indeed implement such a feature. KiPageFault is triggered whenever a process touches memory that is not currently in the working set of the process. That is remarkable.

Efficiency 98

Efficiency Processing Programming Systems 98

The Netflix TechBlog

JULY 30, 2019

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. The Netflix Media Database (NMDB) is one such example.

Lambda 189

Lambda Media Open Source Metrics 189

Dynatrace

JUNE 6, 2023

According to Thair, some ideas about accountability in the software development process promote removing boundaries to enable collaboration, not ownership. “If As a result, developers can address operational concerns earlier in the software delivery process and streamline efforts.

DevOps 166

DevOps Engineering Innovation Best Practices 166

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Use cases We found several use cases where a system like AutoOptimize can bring tons of value.

Storage 203

Storage Latency Efficiency Data Engineering 203

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs.

Metrics 183

Metrics Engineering Energy Tuning 183

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can push or pull.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Dynatrace

JUNE 14, 2023

“The historical definition of observability is transforming,” Clayton said. This digital transformation journey requires AI-powered answers and intelligent automation that legacy systems can’t deliver. 2023: The “Year of the Partner” The event started strong with some words from Ken Clayton, SVP, Channels, Dynatrace.

Programming 185

Programming Analytics Innovation Best Practices 185

The Morning Paper

JULY 2, 2019

One SQL to rule them all: an efficient and syntactically idiomatic approach to management of streams and tables Begoli et al., In data processing it seems, all roads eventually lead back to SQL! The TVR, by definition, supports the entire suite of relational operators, even in scenarios involving time-varying relational data.

Efficiency 65

Efficiency Processing Benchmarking Open Source 65

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success. In MongoDB 6.x:

Best Practices 84

Best Practices Hardware Tuning Scalability 84

DZone

NOVEMBER 9, 2021

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. However, it’s not a unit test.

Software 245

Software Software Code Energy 245

The Netflix TechBlog

JULY 12, 2019

delivering a large amount of business value in the process. Gatekeeper is the system at Netflix responsible for evaluating the “liveness” of videos and assets on the site. The net result is, for many datasets, vastly more efficient use of RAM. The Status-Quo Until very recently, Gatekeeper was a completely event-driven system.

Cache 183

Cache Architecture Latency Engineering 183

Percona

JULY 25, 2023

So, given a table_id, how do you get the table schema/definition? After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. A node completes the SST process faster and joins the PXC cluster quickly. Try Percona XtraBackup today

Cache 84

Cache Benchmarking Servers Design 84

Dynatrace

DECEMBER 9, 2020

Scale and automate SRE into your delivery processes with Dynatrace. Note : We will soon improve the drill-downs to Davis problems directly from existing SLO definitions so that SRE teams can benefit more from the Dynatrace Davis AI engine. Read more: Google’s definition of the term Site Reliability Engineering.

Metrics 154

Metrics Engineering Google Monitoring 154

Testsigma

MARCH 12, 2021

Robotic Process Automation and Test Automation are two confusing terms in testing processes. Similar to TDD and BDD processes, RPA and test automation seem like a single branch of the test segment which is common to be exchanged in communication during planning. What is Robotic Process Automation (RPA)? Source: [link].

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

Dynatrace

MAY 17, 2022

For years, enterprises managed observability data on a team-by-team basis , using a combination of ticketing systems and configuration management tools. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Flexible automation for Kubernetes observability.

Availability 322

Availability Scalability Cloud Metrics 322

The Netflix TechBlog

OCTOBER 7, 2021

Hence, it became important to supplement our release decisions with strong evidence received from the field during the update process. As we invested in systems to enable this vision, it led to increased development velocity, which arguably led to better development practices and quality of the applications.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

NOVEMBER 8, 2021

Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. The Dynatrace approach: APM and beyond.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

Dynatrace

OCTOBER 4, 2021

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. APIs each have a web address, known as an API endpoint, and serve as the channel by which a consuming application and API communicate.

Monitoring 183

Monitoring Latency Metrics Availability 183

O'Reilly

JULY 11, 2023

You still have to write prompts, and we’re all in the process of learning that if you want ChatGPT to do a good job, the prompts have to be very detailed. If 20% of your time is spent coding, and AI-based code generation makes you 50% more efficient, then you’re really only getting about 10% of your time back.

Programming 98

Programming Code Design Software 98

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

Percona

SEPTEMBER 27, 2023

CURRENT_TIMESTAMP /(CURRENT_TIMESTAMP + ‘1 hour’::interval)::text) p_automatic_maintenance text The parameter determines whether maintenance is automatically managed when run_maintenance() is called without a table parameter or by a background worker process.

Storage 97

Storage Open Source Database Efficiency 97

Randon ASCII

OCTOBER 4, 2020

The short version is that calls to timeBeginPeriod from one process now affect other processes less than they used to, but there is still an effect. First, a bit of operating-system design context. If multiple threads can synchronize or coalesce their timer waits then the system becomes more power efficient.

Programming 145

Programming Games Hardware Operating System 145

Percona

DECEMBER 14, 2022

System space is at a premium i.e. it’s worth your while to manage space utilization as much as possible. Online analytical processing , OLAP : Online analytical processing applications enable users to analyze multidimensional data interactively from multiple perspectives which consist of three basic analytical operations: .

Database 92

Database Analytics Storage Processing 92

Percona

AUGUST 30, 2023

Without data backup mechanisms, there can be data loss or system downtime. Even worse, entire operating systems can crash, also resulting in data loss. Failover testing: If you have a high availability setup or a secondary data center, test to ensure the failover process switches over to the backup database server.

Database 85

Database Hardware Open Source Strategy 85

Dynatrace

DECEMBER 20, 2019

You can stop reading this if you don’t know the terms AppMon, Agent Group, System Profile, or Transaction Flow. “I’m happy—no need to change” Most of our AppMon customers are already in the process of upgrading from AppMon to the Dynatrace platform. There’s a more efficient way with Dynatrace!

Infrastructure 134

Infrastructure Cloud Government Monitoring 134

The Netflix TechBlog

SEPTEMBER 10, 2019

Previous XP architecture: all systems are engineering-owned and not easily introspectable Reimagining our Infrastructure: Democratization Across 3 Tracks We are reimagining new infrastructure that makes the scientific development experience better. It centralizes metrics definitions which used to be scattered across many teams.

Metrics 215

Metrics Architecture Infrastructure Innovation 215