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INTRODUCTION
Conductor is a Workflow Orchestration engine that runs in the cloud.. Motivation¶. We built Conductor to help us orchestrate microservices based process flows at Netflix with the following features: A distributed server ecosystem, which stores workflow state informationefficiently.
GETTING STARTED
Create a new Spring Boot application¶. The DGS framework is based on Spring Boot, so get started by creating a new Spring Boot application if you don't have one already. The Spring Initializr is an easy way to do so. You can use either Gradle or Maven, Java 8 or newer or use Kotlin. We do recommend Gradle because we have a really cool code HOME - CHAOS MONKEY - GITHUB PAGES Home - Chaos Monkey. Chaos Monkey is responsible for randomly terminating instances in production to ensure that engineers implement their services to be resilient to instance failures. See how to deploy for instructions on how to get up and running with Chaos Monkey. Once you're up and running, see configuring behavior via Spinnaker for how ADDING CUSTOM SCALARS Adding Custom Scalars. It is easy to add a custom scalar type in the DGS framework: Create a class that implements the graphql.schema.Coercing interface and annotate it with the @DgsScalar annotation. Also make sure the scalar type is defined in yourschema!
MANTIS - GITHUB PAGES Mantis is a platform to build an ecosystem of realtime stream processing applications. Similar to micro-services deployed in a cloud, Mantis applications (jobs) are deployed on the Mantis platform. The Mantis platform provides the APIs to manage the life cycle of jobs (like deploy, update, and terminate), manages the underlying resourcesby
CODE GENERATION
The DGS Code Generation plugin generates code during your project’s build process based on your Domain Graph Service’s GraphQL schema file. The plugin generates the following: Data types for types, input types, enums and interfaces. A DgsConstants class containing the names of types and fields. Example data fetchers. FALCOR: ONE MODEL EVERYWHERE However in this simple tutorial the Router will simply return static data for a single key. First we create a folder for our application server. mkdir falcor-app-server cd falcor-app-server npm init. Now we install the falcor Router. npm install falcor-router --save. Then install express and falcor-express. Support for restify, and Hapi isalso
FALCOR: WHAT IS FALCOR Falcor is the innovative data platform that powers the Netflix UIs. Falcor allows you to model all your backend data as a single Virtual JSON object on your Node server. On the client you work with your remote JSON object using familiar JavaScript operations like get, set, and call. If you know your data, you know your API. Falcor ismiddleware.
SYSTEM TASKS
When executed, a deployment_workflow is executed with its inputs parameters set to the inputParameters of the sub_workflow_task and the workflow definition specified. The task is marked as completed upon the completion of the spawned workflow. If the sub-workflow is terminated or fails the task is marked as failure and retried ifconfigured.
HOME - DGS FRAMEWORK - GITHUB PAGES The DGS framework is built on top of graphql-java. Graphql-java is, and should be, lower level building blocks to handle query execution and such. The DGS framework makes all this available with a convenient Spring Boot programming model.INTRODUCTION
Conductor is a Workflow Orchestration engine that runs in the cloud.. Motivation¶. We built Conductor to help us orchestrate microservices based process flows at Netflix with the following features: A distributed server ecosystem, which stores workflow state informationefficiently.
GETTING STARTED
Create a new Spring Boot application¶. The DGS framework is based on Spring Boot, so get started by creating a new Spring Boot application if you don't have one already. The Spring Initializr is an easy way to do so. You can use either Gradle or Maven, Java 8 or newer or use Kotlin. We do recommend Gradle because we have a really cool code HOME - CHAOS MONKEY - GITHUB PAGES Home - Chaos Monkey. Chaos Monkey is responsible for randomly terminating instances in production to ensure that engineers implement their services to be resilient to instance failures. See how to deploy for instructions on how to get up and running with Chaos Monkey. Once you're up and running, see configuring behavior via Spinnaker for how ADDING CUSTOM SCALARS Adding Custom Scalars. It is easy to add a custom scalar type in the DGS framework: Create a class that implements the graphql.schema.Coercing interface and annotate it with the @DgsScalar annotation. Also make sure the scalar type is defined in yourschema!
MANTIS - GITHUB PAGES Mantis is a platform to build an ecosystem of realtime stream processing applications. Similar to micro-services deployed in a cloud, Mantis applications (jobs) are deployed on the Mantis platform. The Mantis platform provides the APIs to manage the life cycle of jobs (like deploy, update, and terminate), manages the underlying resourcesby
CODE GENERATION
The DGS Code Generation plugin generates code during your project’s build process based on your Domain Graph Service’s GraphQL schema file. The plugin generates the following: Data types for types, input types, enums and interfaces. A DgsConstants class containing the names of types and fields. Example data fetchers. FALCOR: ONE MODEL EVERYWHERE However in this simple tutorial the Router will simply return static data for a single key. First we create a folder for our application server. mkdir falcor-app-server cd falcor-app-server npm init. Now we install the falcor Router. npm install falcor-router --save. Then install express and falcor-express. Support for restify, and Hapi isalso
FALCOR: WHAT IS FALCOR Falcor is the innovative data platform that powers the Netflix UIs. Falcor allows you to model all your backend data as a single Virtual JSON object on your Node server. On the client you work with your remote JSON object using familiar JavaScript operations like get, set, and call. If you know your data, you know your API. Falcor ismiddleware.
SYSTEM TASKS
When executed, a deployment_workflow is executed with its inputs parameters set to the inputParameters of the sub_workflow_task and the workflow definition specified. The task is marked as completed upon the completion of the spawned workflow. If the sub-workflow is terminated or fails the task is marked as failure and retried ifconfigured.
GETTING STARTED
Create a new Spring Boot application¶. The DGS framework is based on Spring Boot, so get started by creating a new Spring Boot application if you don't have one already. The Spring Initializr is an easy way to do so. You can use either Gradle or Maven, Java 8 or newer or use Kotlin. We do recommend Gradle because we have a really cool codeINTRODUCTION
Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. Atlas captures operational intelligence. Whereas business intelligence is data gathered for analyzing trendsover time
ASYNC DATA FETCHING
MappedBatchLoader¶. The BatchLoader interface creates a List of values for a List of keys. You can also use the MappedBatchLoader which creates a Map of key/values for a Set of values. The latter is a better choice if you do not expect all keys to have a value. You register a MappedBatchLoader in the same way as you register aBatchLoader:
FALCOR: ONE MODEL EVERYWHERE However in this simple tutorial the Router will simply return static data for a single key. First we create a folder for our application server. mkdir falcor-app-server cd falcor-app-server npm init. Now we install the falcor Router. npm install falcor-router --save. Then install express and falcor-express. Support for restify, and Hapi isalso
INSTRUMENTATION (TRACING, METRICS) Adding instrumentation for tracing and logging¶. It can be extremely valuable to add tracing, metrics and logging to your GraphQL API. At Netflix we publish tracing spans and metrics for each datafetcher to our distributed tracing/metrics backends, and log queries and query results to our logging backend. FALCOR: WHAT IS FALCOR Falcor is the innovative data platform that powers the Netflix UIs. Falcor allows you to model all your backend data as a single Virtual JSON object on your Node server. On the client you work with your remote JSON object using familiar JavaScript operations like get, set, and call. If you know your data, you know your API. Falcor ismiddleware.
ARCHITECTURE
Follow the steps below to quickly bring up a local Conductor instance backed by an in-memory database with a simple kitchen sink workflow that demonstrate all the capabilities of Conductor. !!!warning: In-Memory server is meant for a quick demonstration purpose and does not store the data on disk. All the data is lost once the server dies.SUBSCRIPTIONS
Subscriptions. GraphQL Subscriptions are used. to receive updates for a query from the server over time.. A common example is sending update notifications from the server. Regular GraphQL queries use. a simple (HTTP) request/response to execute a query.. For subscriptions a connection is kept open. Currently, we support subscriptions usingWebsockets.
DATA FETCHING
The actors datafetcher only gets executed when the actors field is included in the query. The actors datafetcher also introduces a new concept; the DgsDataFetchingEnvironment.The DgsDataFetchingEnvironment gives access to the context, the query itself, data loaders, and the source object. The source object is the object that contains the field. For this example, the source is the ShowUSING THE CLIENT
Conductor provides the following java clients to interact with the various APIs. Client. Usage. Metadata Client. Register / Update workflow and task definitions. Workflow Client. Start a new workflow / Get execution status of a workflow. Task Client. Poll for task / Update task result after execution / HOME - DGS FRAMEWORK - GITHUB PAGESPHP GITHUB PAGES The DGS framework is built on top of graphql-java. Graphql-java is, and should be, lower level building blocks to handle query execution and such. The DGS framework makes all this available with a convenient Spring Boot programming model.INTRODUCTION
Conductor is a Workflow Orchestration engine that runs in the cloud.. Motivation¶. We built Conductor to help us orchestrate microservices based process flows at Netflix with the following features: A distributed server ecosystem, which stores workflow state informationefficiently.
INTRODUCTION
Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. Atlas captures operational intelligence. Whereas business intelligence is data gathered for analyzing trendsover time
FALCOR: ONE MODEL EVERYWHERE However in this simple tutorial the Router will simply return static data for a single key. First we create a folder for our application server. mkdir falcor-app-server cd falcor-app-server npm init. Now we install the falcor Router. npm install falcor-router --save. Then install express and falcor-express. Support for restify, and Hapi isalso
MANTIS - GITHUB PAGES Mantis is a platform to build an ecosystem of realtime stream processing applications. Similar to micro-services deployed in a cloud, Mantis applications (jobs) are deployed on the Mantis platform. The Mantis platform provides the APIs to manage the life cycle of jobs (like deploy, update, and terminate), manages the underlying resourcesby
SUBSCRIPTIONS
The Publisher interface is from Reactive Streams. Flux is the default implementation for Spring. A complete example can be found in SubscriptionDatafetcher.java.Next, a transport implementation must be chosen, which depends on how your app is deployed.. WebSockets¶. The subscription endpoint is on /subscriptions.Normal GraphQL queries can be sent to /graphql, whileCONDUCTOR SERVER
Conductor server can be used with a standlone Redis or ElastiCache server. To configure the server, change the config to use the following: db=redis # For AWS Elasticache Redis (cluster mode enabled) the format is configuration_endpoint:port:us-east-1e. # The region in this case does not matter workflow.dynomite.cluster.hosts=server_addressSTART A WORKFLOW
Start Workflow Request. When starting a Workflow execution with a registered definition, Workflow accepts following parameters: Name of the Workflow. MUST be registered with Conductor before starting workflow. See Task Domains for more information. Provide adhoc Workflow definition to run, without registering. See Dynamic Workflowsbelow.
SYSTEM TASKS
When executed, a deployment_workflow is executed with its inputs parameters set to the inputParameters of the sub_workflow_task and the workflow definition specified. The task is marked as completed upon the completion of the spawned workflow. If the sub-workflow is terminated or fails the task is marked as failure and retried ifconfigured.
JSONWEBKEY (MESSAGE SECURITY LAYER PUBLIC API) JsonWebKey public JsonWebKey(JsonWebKey.Usage usage, JsonWebKey.Algorithm algo, boolean extractable, String id, RSAPublicKey publicKey, RSAPrivateKey privateKey) Create a new JSON web key for an RSA public/private key pair with the specified attributes. At least one of the public key or private key must beencoded.
HOME - DGS FRAMEWORK - GITHUB PAGESPHP GITHUB PAGES The DGS framework is built on top of graphql-java. Graphql-java is, and should be, lower level building blocks to handle query execution and such. The DGS framework makes all this available with a convenient Spring Boot programming model.INTRODUCTION
Conductor is a Workflow Orchestration engine that runs in the cloud.. Motivation¶. We built Conductor to help us orchestrate microservices based process flows at Netflix with the following features: A distributed server ecosystem, which stores workflow state informationefficiently.
INTRODUCTION
Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. Atlas captures operational intelligence. Whereas business intelligence is data gathered for analyzing trendsover time
FALCOR: ONE MODEL EVERYWHERE However in this simple tutorial the Router will simply return static data for a single key. First we create a folder for our application server. mkdir falcor-app-server cd falcor-app-server npm init. Now we install the falcor Router. npm install falcor-router --save. Then install express and falcor-express. Support for restify, and Hapi isalso
MANTIS - GITHUB PAGES Mantis is a platform to build an ecosystem of realtime stream processing applications. Similar to micro-services deployed in a cloud, Mantis applications (jobs) are deployed on the Mantis platform. The Mantis platform provides the APIs to manage the life cycle of jobs (like deploy, update, and terminate), manages the underlying resourcesby
SUBSCRIPTIONS
The Publisher interface is from Reactive Streams. Flux is the default implementation for Spring. A complete example can be found in SubscriptionDatafetcher.java.Next, a transport implementation must be chosen, which depends on how your app is deployed.. WebSockets¶. The subscription endpoint is on /subscriptions.Normal GraphQL queries can be sent to /graphql, whileCONDUCTOR SERVER
Conductor server can be used with a standlone Redis or ElastiCache server. To configure the server, change the config to use the following: db=redis # For AWS Elasticache Redis (cluster mode enabled) the format is configuration_endpoint:port:us-east-1e. # The region in this case does not matter workflow.dynomite.cluster.hosts=server_addressSTART A WORKFLOW
Start Workflow Request. When starting a Workflow execution with a registered definition, Workflow accepts following parameters: Name of the Workflow. MUST be registered with Conductor before starting workflow. See Task Domains for more information. Provide adhoc Workflow definition to run, without registering. See Dynamic Workflowsbelow.
SYSTEM TASKS
When executed, a deployment_workflow is executed with its inputs parameters set to the inputParameters of the sub_workflow_task and the workflow definition specified. The task is marked as completed upon the completion of the spawned workflow. If the sub-workflow is terminated or fails the task is marked as failure and retried ifconfigured.
JSONWEBKEY (MESSAGE SECURITY LAYER PUBLIC API) JsonWebKey public JsonWebKey(JsonWebKey.Usage usage, JsonWebKey.Algorithm algo, boolean extractable, String id, RSAPublicKey publicKey, RSAPrivateKey privateKey) Create a new JSON web key for an RSA public/private key pair with the specified attributes. At least one of the public key or private key must beencoded.
HOME - DGS FRAMEWORK - GITHUB PAGES The DGS framework is built on top of graphql-java. Graphql-java is, and should be, lower level building blocks to handle query execution and such. The DGS framework makes all this available with a convenient Spring Boot programming model.INTRODUCTION
Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. Atlas captures operational intelligence. Whereas business intelligence is data gathered for analyzing trendsover time
FALCOR: ONE MODEL EVERYWHERE However in this simple tutorial the Router will simply return static data for a single key. First we create a folder for our application server. mkdir falcor-app-server cd falcor-app-server npm init. Now we install the falcor Router. npm install falcor-router --save. Then install express and falcor-express. Support for restify, and Hapi isalso
GENIE BY NETFLIX OSS Genie is a completely open source distributed job orchestration engine developed by Netflix. Genie provides REST-ful APIs to run a variety of big data jobs like Hadoop, Pig, Hive, Spark, Presto, Sqoop and more. It also provides APIs for managing the metadata of many distributed processing clusters and the commands and applications which run on FALCOR: WHAT IS FALCOR Falcor is the innovative data platform that powers the Netflix UIs. Falcor allows you to model all your backend data as a single Virtual JSON object on your Node server. On the client you work with your remote JSON object using familiar JavaScript operations like get, set, and call. If you know your data, you know your API. Falcor ismiddleware.
EVENTS AND EVENT HANDLERS Event Tasks in Workflow¶. EVENT task is a System task, and we shall define it just like other Tasks in Workflow, with sink parameter. Also, EVENT task doesn't have to be registered before using in Workflow. This is also true for the WAIT task. Hence, we will not be registering any tasks for these workflows. Events are sent, but they're not handled (yet)FILE UPLOADS
The DGS framework supports the Upload scalar with which you can specify files in your mutation query as a MultipartFile . When you send a multipart request for file upload, the framework processes each part and assembles the final GraphQL query that it hands to your data fetcher for further processing. Here is an example of a Mutation query HOME - CHAOS MONKEY - GITHUB PAGES Home - Chaos Monkey. Chaos Monkey is responsible for randomly terminating instances in production to ensure that engineers implement their services to be resilient to instance failures. See how to deploy for instructions on how to get up and running with Chaos Monkey. Once you're up and running, see configuring behavior via Spinnaker for how DATA FETCHING CONTEXT A data fetcher gets access to its context by calling DataFetchingEnvironment.getContext () . This is a common mechanism to pass request context to data fetchers and data loaders. The DGS framework has its own DgsContext implementation, which is used for log instrumentation among other things. It is designed in such a way thatyou can extend it
ADDING CUSTOM SCALARS Adding Custom Scalars. It is easy to add a custom scalar type in the DGS framework: Create a class that implements the graphql.schema.Coercing interface and annotate it with the @DgsScalar annotation. Also make sure the scalar type is defined in yourschema!
POWERED BY
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JAX 2015 AWARD
INDUSTRY AWARDS!
------------------------- Netflix is honored to receive the Jury's choice award for Innovation at JAX 2015 conference.
We would like to thank all of those who contribute to the Netflix open source community including our Netflix developers, all external contributors, and our active user base. Netflix Open Source won the JAX Special Jury Award. Jury member Neal Ford was quoted as saying "that architecture is cool again, that it can be used as a business differentiator, and when done right it is a huge advantage. Netflix showed the power of internalizing DevOps into their architecture; all architectures will do this in the future."GETTING STARTED
HOW CAN YOU GET STARTED QUICKLY? ------------------------- For the simple approach, try out our ZeroToDocker container images. After downloading the images, you can be up and running NetflixOSS in just a few minutes. After you've tackled that, check out the IBM ACME Airand Flux Capacitor
apps, and the
Zero-to-Cloud workshop. See these CloudFormation templateson
Answers For AWS for use of NetflixOSS through CloudFormation.OUR TEAM
WANT TO WORK ON THIS TECHNOLOGY? ------------------------- If you are looking to have a large impact at a growing company and work with a high performance team - start here. Work with talented colleagues on hard problems that affect millions of customers. At Netflix we value high performance, freedom and responsibility. We don't focus on rules, processes or procedures. We are candid and transparent and seek excellence in everything that we do. We tackle problems others have not been able to solve. We license great content, build systems at scale and use data to push the business forward. We connect people with movies and televisionglobally.
Check out our jobs page for currentopenings.
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NETFLIX OPEN SOURCE SOFTWARE CENTER ------------------------- Netflix is committed to open source. Netflix both leverages and provides open source technology focused on providing the leading Internet television network. Our technology focuses on providing immersive experiences across all internet-connected screens. Netflix's deployment technology allows for continuous build and integration into our worldwide deployments serving members in over 50 countries. Our focus on reliability defined the bar for cloud based elastic deployments with several layers of failover. Netflix also provides the technology to operate services responsibly with operational insight, peak performance, and security. We provide technologies for data (persistent & semi-persistent) that serve the real-time load to our 62 million members, as well as power the big data analytics that allow us to make informed decisions on how to improve our service. If you want to learn more, jump into any of the functional areas below to learnmore.
BIG DATA
TOOLS AND SERVICES TO GET THE MOST OUT OF YOUR (BIG) DATA Data is invaluable in making Netflix such an exceptional service for our customers. Behind the scenes, we have a rich ecosystem of (big) data technologies facilitating our algorithms and analytics. We use and contribute to broadly-adopted open source technologies including Hadoop, Hive, Pig, Parquet, Presto, and Spark. In addition, we’ve developed and contributed some additional tools and services, which have further elevated our data platform. Genie is a powerful, REST-based abstraction to our various data processing frameworks, notably Hadoop. Inviso provides detailed insights into the performance of our Hadoop jobs and clusters. Lipstick shows the workflow of Pig jobs in a clear, visual fashion. And Aegisthus enables the bulk abstraction of data out of Cassandra for downstream analytic processing. ------------------------- BUILD AND DELIVERY TOOLS TAKING CODE FROM DESKTOP TO THE CLOUD Netflix has open sourced many of our Gradle plugins under the name Nebula . Nebula started off as a set of strong opinions to make Gradle simple to use for our developers. But we quickly learned that we could use the same assumptions on our open source projects and on other Gradle plugins to make them easy to build, test and deploy. By standardizing plugin development, we've lowered the barrier to generating them, allowing us to keep our build modular and composable. We require additional tools to take these builds from the developers' desks to AWS. There are tens of thousands of instances running Netflix. Every one of these runs on top of an image created by our open source tool Aminator . Once packaged, these AMIs are deployed to AWS using our Continuous Delivery Platform, Spinnaker . Spinnaker facilitates releasing software changes with high velocity and confidence. ------------------------- COMMON RUNTIME SERVICES & LIBRARIES RUNTIME CONTAINERS, LIBRARIES AND SERVICES THAT POWER MICROSERVICES The cloud platform is the foundation and technology stack for the majority of the services within Netflix. The cloud platform consists of cloud services, application libraries and application containers. Specifically, the platform provides service discovery through Eureka , distributed configuration through Archaius , resilent and intelligent inter-process and service communication through Ribbon . To provide reliability beyond single service calls, Hystrix is provided to isolate latency and fault tolerance at runtime. The previous libraries and services can be used with any JVM basedcontainer.
The platform provides JVM container services through Karyonand Governator
and support for non-JVM runtimes via the Prana sidecar. While Prana provides proxy capabilities within an instance, Zuul (which integrates Hystrix, Eureka, and Ribbon as part of its IPC capabilities) provides dyamically scriptable proxying at the edge of the cloud deployment. The platform works well within the EC2 cloud utilizing the Amazon autoscaler. For container applications and batch jobs running on Apache Mesos, Fenzo is a scheduler that provides advanced scheduling and resource management for cloud native frameworks. Fenzo provides plugin implementations for bin packing, cluster autoscaling, and custom scheduling optimizations can be implemented through user-defined plugins. -------------------------CONTENT ENCODING
AUTOMATED SCALABLE MULTIMEDIA INGEST AND ENCODING One of the great challenges for Netflix is managing the large and numerous audio and video assets at scale. This scale challenge is bounded by Hollywood master files that can be multiple terabytes in size, and cellular audio and video encodes which must provide an excellent customer experience at 200 Kilobits-per-second. As part of the Netflix Digital Supply Chain, our encoding-related open-source efforts focus on tools and technologies that allow us meet the challenges of content ingest, and encoding, at scale. Photon is a Java implementation of the Interoperable Master Format (IMF) standard. IMF is a SMPTE standard whose core constraints are defined in the specification st2067-2:2013. VMAF is a perceptual quality metric that out-performs the many objective metrics that are currently used for video encoder quality tests. -------------------------DATA PERSISTENCE
STORING AND SERVING DATA IN THE CLOUD. Handling over a trillion data operations per day requires an interesting mix of “off the shelf OSS” and in house projects. No single data technology can meet every use case or satisfy every latency requirement. Our needs range from non-durable in-memory stores like Memcached, Redis, and Hollow , to searchable datastores such as Elastic and durable must-never-go-down datastores like Cassandra and MySQL. Our Cloud usage and the scale at which we consume these technologies, has required us to build tools and services that enhance the datastores we use. We’ve created the sidecars Raigadand Priam
to help with the deployment, management and backup/recovery of our hundreds of Elastic and Cassandra clusters. We’ve created EVCacheand Dynomite
to use Memcached and Redis at scale. We’ve even developed the Dyno client library to better consume Dynomite in the Cloud. ------------------------- INSIGHT, RELIABILITY AND PERFORMANCE PROVIDING ACTIONABLE INSIGHT AT MASSIVE SCALE Telemetry and metrics play a critical role in the operations of any company, and at more than a billion metrics per minute flowing into Atlas , our time-series telemetry platform, they play a critical role at Netflix. However, Operational Insight is considered a higher-order family of products at Netflix, including the ability to understand the current components of our cloud ecosystem via Edda , and the easy integration of Java application code with Atlas via the Spectatorlibrary.
Effective performance instrumentation allows engineers to drill quickly on a massive volume of metrics, making critical decisions quickly and efficiently. Vector exposes high-resolution host-level metrics with minimal overhead. Being able to understand the current state of our complex microservice architecture at a glance is crucial when making remediation decisions. Vizceral helps provide this at-a-glance intuition without needing to first build up a mental modelof the system.
Finally to validate reliability, we have Chaos Monkey which tests our instances for random failures, along with the Simian Army.
-------------------------SECURITY
DEFENDING AT SCALE
Security is an increasingly important area for organizations of all types and sizes, and Netflix is happy to contribute a variety of security tools and solutions to the open source community. Our security-related open source efforts focus primarily on operational tools and systems to make security teams more efficient and effective when securing large and dynamic environments. Security Monkey helps monitor and secure large AWS-based environments, allowing security teams to identify potential security weaknesses. Scumblr is an intelligence gathering tool that leverages Internet-wide targeted searches to surface specific security issues for investigation. Stethoscope is a web application that collects information from existing systems management tools (e.g., JAMF or LANDESK) on a given employee’s devices and gives them clear and specific recommendations for securing their systems. -------------------------USER INTERFACE
LIBRARIES TO HELP YOU BUILD RICH CLIENT APPLICATIONS Every month, Netflix members around the world discover and watch more than ten billion hours of movies and shows on their TV, mobile and desktop devices. Using modern UI technologies like Node.js, React and RxJS, our engineers build rich client applications that run across thousands of devices. We strive to create cinematic, immersive experiences that delight our members, exhibit exceptional performance and work flawlessly. We're continuously improving the product through data-driven A/B testing that enables us to experiment with novel concepts and understand the value of every feature we ship. We created Falcor for efficient data fetching. We help maintain Restify to enable us to scale Node.js applications with full observability. We're helping to build the next version of RxJS to improve its performance and debuggability.OPEN SOURCE
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