Engineering Leader opportunity @ Netflix - Playback Data Systems

Contenu connexe

Tendances

The Netflix Way to deal with Big Data Problems

Monal Daxini

DataEngConf SF16 - High cardinality time series search

Hakka Labs

Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafka

confluent

Providing a great media consumption experience to customers is crucial to maximizing audience engagement. To do that, it is important that you make content available for consumption anytime, anywhere, on any device, with a personalized and interactive experience. This session explores the power of big data log analytics (real-time and batched), using technologies like Spark, Shark, Kafka, Amazon Elastic MapReduce, Amazon Redshift and other AWS services. Such analytics are useful for content personalization, recommendations, personalized dynamic ad-insertions, interactivity, and streaming quality. This session also includes a discussion from Netflix, which explores personalized content search and discovery with the power of metadata.

Maximizing Audience Engagement in Media Delivery (MED303) | AWS re:Invent 2013

Amazon Web Services

Data pipeline with kafka

Mole Wong

Netflix is a data driven company and we process over 700 billion streaming events per day with at-least once processing semantics in the cloud. To enable extracting intelligence from this unbounded stream easily we are building Stream Processing as a Service (SPaaS) infrastructure so that the user can focus on extracting value and not have to worry about boilerplate infrastructure and scale. We will share our experience in building a scalable SPaaS using Flink, Apache Beam and Kafka as the foundation layer to process over 1.3 PB of event data without service disruption.

Beaming flink to the cloud @ netflix ff 2016-monal-daxini

Monal Daxini

The Netdata Agent is free, open source single-node monitoring software. Netdata Cloud is a free, closed source, software-as-a-service that brings together metadata from endpoints running the Netdata Agent, giving a complete view of the health and performance of an infrastructure. All the metrics remain on the Netdata Agent, making Netdata Cloud the focal point of a distributed, infinitely scalable, low cost solution.  The heart of Netdata Cloud is Pulsar. Almost every message coming from and going to the open source agents passes through Pulsar. Pulsar's infinite number of topics has given us the flexibility we needed and in some cases, every single Netdata Agent has its own unique Pulsar topic.  A single message from an agent or from a service that processes a front end request can trigger several other Pulsar messages, as we also use Pulsar for communication between microservices (using a CQRS pattern with shared subscriptions for scalability). The reliable persistence of messages has allowed us to replay old events to rebuild old and build new materialized views and debug specific production issues. It's also what will enable us to implement an event sourcing pattern, for a new set of features we want to introduce shortly.  We have had a few issues with a specific client and our shared subscriptions that we're working on resolving, but overall Pulsar has proven to be one of the most reliable parts of our infrastructure and we decided to proceed with a managed services agreement.

How Pulsar Enables Netdata to Offer Unlimited Infrastructure Monitoring for F...

StreamNative

Keystone - ApacheCon 2016

Peter Bakas

(Mike Graham + Dan Carroll, Comcast) Kafka Summit SF 2018 Comcast manages over 2 million miles of fiber and coax, and over 40 million in home devices. This “outside plant” is subject to adverse conditions from severe weather to power grid outages to construction-related disruptions. Maintaining the health of this large and important infrastructure requires a distributed, scalable, reliable and fast information system capable of real-time processing and rapid analysis and response. Using Apache Kafka and the Kafka Streams Processor API, Comcast built an innovative new system for monitoring, problem analysis, metrics reporting and action response for the outside plant. In this talk, you’ll learn how topic partitions, state stores, key mapping, source and sink topics and processors from the Kafka Streams Processor API work together to build a powerful dynamic system. We will dive into the details about the inner workings of the state store—how it is backed by a Kafka “changelog” topic, how it is scaled horizontally by partition and how the instances are rebuilt on startup or on processor failure. We will discuss how these state stores essentially become like materialized views in a SQL database but are updated incrementally as data flows through the system, and how this allows the developers to maintain the data in the optimal structures for performing the processing. The best part is that the data is readily available when needed by the processors. You will see how a REST API using Kafka Streams “interactive queries” can be used to retrieve the data in the state stores. We will explore the deployment and monitoring mechanisms used to deliver this system as a set of independently deployed components.

Inside Kafka Streams—Monitoring Comcast’s Outside Plant

confluent

Modern search systems provide incredible feature sets, developer-friendly APIs, and low latency indexing and query response. By some measures, these systems operate "at scale," but rarely is that quantified. Customers of Rocana typically look to push ingest rates in excess of 1 million events per second, retaining years of data online for query, with the expectation of sub-second response times for any reasonably sized subset of data. We quickly found that the tradeoffs made by general purpose search systems, while right for common use cases, were less appropriate for these high cardinality, large scale use cases. This session details the architecture, tradeoffs, and interesting implementation decisions made in building a new time series optimized distributed search system using Apache Lucene, Kafka, and HDFS. Data ingestion and durability, index and metadata organization, storage, query scheduling and optimization, and failure modes will be covered. Finally, a summary of the results achieved will be shown.

High cardinality time series search: A new level of scale - Data Day Texas 2016

Eric Sammer

Kafka Summit NYC 2017 - Scalable Real-Time Complex Event Processing @ Uber

confluent

Siphon is a highly available and reliable distributed pub/sub system built using Apache Kafka. It is used to publish, discover and subscribe to near real-time data streams for operational and product intelligence. Siphon is used as a “Databus” by a variety of producers and subscribers in Microsoft, and is compliant with security and privacy requirements. It has a built-in Auditing and Quality control. This session will provide an overview of the use of Kafka at Microsoft, and then deep dive into Siphon. We will describe an important business scenario and talk about the technical details of the system in the context of that scenario. We will also cover the design and implementation of the service, the scale, and real world production experiences from operating the service in the Microsoft cloud environment.

Siphon - Near Real Time Databus Using Kafka, Eric Boyd, Nitin Kumar

confluent

Jitney, Kafka at Airbnb

alexismidon

netflix-real-time-data-strata-talk

Danny Yuan

Keystone - Leverage Big Data 2016

Peter Bakas

Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1OKo5FN. Danny Yuan discusses how stream processing is used in Uber's real-time system to solve a wide range of problems, including but not limited to real-time aggregation and prediction on geospatial time series, data migration, monitoring and alerting, and extracting patterns from data streams. Yuan also presents the architecture of the stream processing pipeline. Filmed at qconsf.com. Danny Yuan is a software engineer in Uber. He's currently working on streaming systems for Uber's logistics platform. Prior to joining Uber, he worked on building Netflix's cloud platform. His work includes predictive autoscaling, distributed tracing service, real-time data pipeline that scaled to process hundreds of billions of events every day, and Netflix's low-latency crypto services.

Stream Processing in Uber

C4Media

At Pinterest, hundreds of services and third-party tools that are implemented in various programming languages generate billions of events every day. To achieve scalable and reliable low latency logging, there are several challenges: (1) uploading logs that are generated in various formats from tens of thousands of hosts to Kafka in a timely manner; (2) running Kafka reliably on Amazon Web Services where the virtual instances are less reliable than on-premises hardware; (3) moving tens of terabytes data per day from Kafka to cloud storage reliably and efficiently, and guaranteeing exact one time persistence per message. In this talk, we will present Pinterest’s logging pipeline, and share our experience addressing these challenges. We will dive deep into the three components we developed: data uploading from service hosts to Kafka, data transportation from Kafka to S3, and data sanitization. We will also share our experience in operating Kafka at scale in the cloud.

Scalable and Reliable Logging at Pinterest

Krishna Gade

Kafka Summit NYC 2017 - Apache Kafka in the Enterprise: What if it Fails?

confluent

#lspe Q1 2013 dynamically scaling netflix in the cloud

Coburn Watson

April 2014 update to this presentation: Loggly removed Storm from its architecture. Details here: https://www.loggly.com/blog/what-we-learned-about-scaling-with-apache-storm/ This is a technical architect's case study of how Loggly has employed the latest social-media-scale technologies as the backbone ingestion processing for our multi-tenant, geo-distributed, and real-time log management system. Given by Jim Nisbet and Philip O'Toole, this presentation describes design details of how we built a second-generation system fully leveraging AWS services including Amazon Route 53 DNS with heartbeat and latency-based routing, multi-region VPCs, Elastic Load Balancing, Amazon Relational Database Service, and a number of pro-active and re-active approaches to scaling computational and indexing capacity. The talk includes lessons learned in our first generation release, validated by thousands of customers; speed bumps and the mistakes we made along the way; various data models and architectures previously considered; and success at scale: speeds, feeds, and an unmeltable log processing engine.

AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly

SolarWinds Loggly

Tendances (20)

The Netflix Way to deal with Big Data Problems

DataEngConf SF16 - High cardinality time series search

Kafka Summit NYC 2017 - Data Processing at LinkedIn with Apache Kafka

Maximizing Audience Engagement in Media Delivery (MED303) | AWS re:Invent 2013

Data pipeline with kafka

Beaming flink to the cloud @ netflix ff 2016-monal-daxini

How Pulsar Enables Netdata to Offer Unlimited Infrastructure Monitoring for F...

Keystone - ApacheCon 2016

Inside Kafka Streams—Monitoring Comcast’s Outside Plant

High cardinality time series search: A new level of scale - Data Day Texas 2016

Kafka Summit NYC 2017 - Scalable Real-Time Complex Event Processing @ Uber

Siphon - Near Real Time Databus Using Kafka, Eric Boyd, Nitin Kumar

Jitney, Kafka at Airbnb

netflix-real-time-data-strata-talk

Keystone - Leverage Big Data 2016

Stream Processing in Uber

Scalable and Reliable Logging at Pinterest

Kafka Summit NYC 2017 - Apache Kafka in the Enterprise: What if it Fails?

#lspe Q1 2013 dynamically scaling netflix in the cloud

AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly

En vedette

Building and Maintaining your Feedback Muscle

Sangeeta Narayanan

GITPro World Apr 2015 - Continuous Innovation with Rapid Software Delivery

Sangeeta Narayanan

Operational Visibility at Global Scale

Sangeeta Narayanan

Containers at Netflx - An Evolving Story QConSF2015

Sangeeta Narayanan

Engineering Manager, Edge Insights @Netflix

Sangeeta Narayanan

Move Fast;Stay Safe:Developing & Deploying the Netflix API

Sangeeta Narayanan

Making Microservices work at Netflix

Sangeeta Narayanan

QConSF 2014 - How we learned to stop worrying and start deploying the Netflix...

Sangeeta Narayanan

En vedette (8)

Building and Maintaining your Feedback Muscle

GITPro World Apr 2015 - Continuous Innovation with Rapid Software Delivery

Operational Visibility at Global Scale

Containers at Netflx - An Evolving Story QConSF2015

Engineering Manager, Edge Insights @Netflix

Move Fast;Stay Safe:Developing & Deploying the Netflix API

Making Microservices work at Netflix

QConSF 2014 - How we learned to stop worrying and start deploying the Netflix...

Similaire à Engineering Leader opportunity @ Netflix - Playback Data Systems

Playback data systems

Ketan Duvedi

Playback Data Systems @ Netflix

Ketan Duvedi

Playback Data Systems @ Netflix

Ketan Duvedi

Netflix Playback Data Systems Team and Job Overview

Suudhan Rangarajan

Netflix is the world's leading internet television network. In this presentation, I talk about the aspects of Netflix culture that have contributed to its success. The freedom and responsibility culture, with highly aligned, loosely coupled teams of amazing, enthusiastic, helpful, high performance people with excellent judgement has helped build Netflix to adapt and change quickly, and iterate to make the best service possible. By eliminating rules and processes, and ensuring that employees have the contexts of the business in all aspects, Netflix has enabled employees to use their judgement to get things done rather than relying on control or process. This has resulted in Netflix becoming a leader in not only internet streaming, but also cloud computing, media, and culture. Because of the Netflix culture, we have been able to attract and retain great employees. I give a few examples from my team, Edge Engineering of how the culture enables us to build the high scale, resilient and dynamic services that are the front door to the Netflix streaming application, and how the freedom we have has enabled us to open source core technologies that are needed for large scale, service-oriented architectures in a cloud environment. This slideshow also gives a high level overview of how the streaming service works, and how Netflix's Open Connect Appliance can help ISPs.

Netflix’s Success through Technology and Culture - Andicom 2014

Mikey Cohen - Hiring Amazing Engineers

Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1QqReFD. Haley Tucker and Mohit Vora discuss the architecture at Netflix that makes streaming happen, while highlighting interesting lessons and design patterns that can be widely applied. Filmed at qconsf.com. Haley Tucker works on the Playback Features team at Netflix, responsible for ensuring that customers receive the best viewing experience. Mohit Vora manages the Open Connect Control Plane team at Netflix.

How Netflix Directs 1/3rd of Internet Traffic

C4Media

Netflix Playback Licensing Engineering Leader Opportunity

Karen Casella

Playback & Edge Access Services Senior Software Engineer

Karen Casella

Netflix Playback Access Team

Karen Casella

Netflix Playback Access Team

Karen Casella

Mainframe Application Testing both With and Without Live Data

DevOps for Enterprise Systems

GraphTour - Neo4j Database Overview

Neo4j

Netflix Cloud Architecture and Open Source

aspyker

IP for Sports broadcast

ETCenter

Today, in the age of big data, data quality is more essential than ever. Whatever the size of your data – you need it to be clean, free of duplicates and ready for use. View this customer education webinar on-demand where you will learn more about the latest improvements in the market-leading data quality solution – Syncsort’s TSS Enterprise, and how it can help you receive a quicker ROI from your Syncsort Trillium investment. During this webinar, you will learn more about new TSS Enterprise 15.8 features such as: • Performance improvements in Syncsort Trillium Discovery • Syncsort’s Collibra integration for a stronger data governance capability • Added support for Amazon EMR to Syncsort Trillium Quality for Big Data • The NEW real-time data quality function Don’t have TSS? View this webinar on-demand to see what you may be missing by not having market-leading data quality solutions. Whether you need to de-duplicate millions of records on Spark, want to fix data errors in real-time in your CRM or build geo-location and address verification into your web application – we’ve got what you’re looking for!

What's New in Syncsort's Trillium Line of Data Quality Software - TSS Enterpr...

Precisely

Data as a Service

Kyle Hailey

Splunk, an industry leader in IT operations and security analytics, is moving to the cloud. Adopting Splunk in the cloud can help you make better, faster decisions with real-time visibility across the enterprise. That said, if your critical business services rely on the IBM Z or IBM i, including these systems is a must in your new Splunk environment. Having these systems in your Splunk environment helps remove a significant blind spot in your modernization efforts - avoiding security risks, failed audits, downtime, and escalating costs. Join this discussion with presenters Brady Moyer from Splunk and Ian Hartley from Precisely to learn how to seamlessly integrate IBM Z and IBM i into Splunk for a true enterprise-wide view of your IT landscape. During this on-demand webinar, you will hear: • How Precisely Ironstream provides integration with Splunk without the need for mainframe or IBM i expertise • The different types of data that can be collected and forwarded to Splunk • Example use cases for events, security, and performance data

How Precisely and Splunk Can Help You Better Manage Your IBM Z and IBM i Envi...

Precisely

Alex Cheng of Baidu: "Big Data: A New Frontier"

sprie-stanford

Treasure Data simplifies event analytics for the complex digital world. Our customers send us 1,000,000 events per second and issue 30,000+ Presto queries everyday to understand their customers better. One of the challenges is designing a cloud database with zero downtime to support a global customer base. We have achieved this goal by developing several open-source technologies; Fluentd and Embulk enable seamless log collection from stream/batch sources, and with MessagePack we can provide an extensible columnar store that accommodates future schema changes. Finally, Presto allows us to serve a wide variety of data processing our customers perform on our service. In this talk, I will present an overview of our system, and how our customers keep using Presto while collecting and extending their data set.

Presto @ Treasure Data - Presto Meetup Boston 2015

Taro L. Saito

Netflix Playback Licensing Team is Hiring!

Karen Casella

Similaire à Engineering Leader opportunity @ Netflix - Playback Data Systems (20)

Playback data systems

Playback Data Systems @ Netflix

Netflix Playback Data Systems Team and Job Overview

Netflix’s Success through Technology and Culture - Andicom 2014

How Netflix Directs 1/3rd of Internet Traffic

Netflix Playback Licensing Engineering Leader Opportunity

Playback & Edge Access Services Senior Software Engineer

Netflix Playback Access Team

Mainframe Application Testing both With and Without Live Data

GraphTour - Neo4j Database Overview

Netflix Cloud Architecture and Open Source

IP for Sports broadcast

What's New in Syncsort's Trillium Line of Data Quality Software - TSS Enterpr...

Data as a Service

How Precisely and Splunk Can Help You Better Manage Your IBM Z and IBM i Envi...

Alex Cheng of Baidu: "Big Data: A New Frontier"

Presto @ Treasure Data - Presto Meetup Boston 2015

Netflix Playback Licensing Team is Hiring!

Dernier

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

apidays

In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.

Platformless Horizons for Digital Adaptability

WSO2

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

apidays

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Whatsapp Number Escorts Call girls 8617370543 Available 24x7 Mcleodganj Call Girls Service Offer Genuine VIP Model Escorts Call Girls in Your Budget. Mcleodganj Call Girls Service Provide Real Call Girls Number. Make Your Sexual Pleasure Memorable with Our Mcleodganj Call Girls at Affordable Price. Top VIP Escorts Call Girls, High Profile Independent Escorts Call Girls, Housewife Women Escorts Call Girl, College Girls Escorts Call Girls, Russian Escorts Call girls Service in Your Budget.

Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model

Deepika Singh

Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

apidays

ICT role in 21st century education and its challenges

rafiqahmad00786416

Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Orbitshub

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

MadyBayot

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

apidays

[BuildWithAI] Introduction to Gemini.pdf

Sandro Moreira

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

Dernier (20)

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Platformless Horizons for Digital Adaptability

Boost Fertility New Invention Ups Success Rates.pdf

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

MS Copilot expands with MS Graph connectors

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Why Teams call analytics are critical to your entire business

Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

ICT role in 21st century education and its challenges

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

FWD Group - Insurer Innovation Award 2024

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

How to Troubleshoot Apps for the Modern Connected Worker

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

[BuildWithAI] Introduction to Gemini.pdf

Understanding the FAA Part 107 License ..

AWS Community Day CPH - Three problems of Terraform

Engineering Leader opportunity @ Netflix - Playback Data Systems

Recommandé

Recommandé

Contenu connexe

Tendances

Tendances (20)

En vedette

En vedette (8)

Similaire à Engineering Leader opportunity @ Netflix - Playback Data Systems

Similaire à Engineering Leader opportunity @ Netflix - Playback Data Systems (20)

Dernier

Dernier (20)

Engineering Leader opportunity @ Netflix - Playback Data Systems