B 2 line game cloud - our personal ec2

•

7 likes•9,487 views

LINE Corporation

TBD

Technology

1 Our situation in 2014
2 How we improved
3 Sweet things
4 More sweet things
5 Future

Our situation in 2014
1st gen
“HSP” – (2014) from cybercafe/漫画木さ/PC방 platform
2nd gen
ECDH-based key exchange
Platform
Billing/AAA/Monitoring, etc. & Game servers
“LGC” – (cloud release)
3rd gen: “Trident” – (current)

Globalization
Issues abroad
Loading…
Loading…
Loading…
Loading…
Fail!

Process
Dev/QA/Sandbox/REAL…
Get VM
Get L4 binding
ACLs/storage, etc.
From hours to days…

Global
In our case
GSLB (Global Server Load Balancing)
HAProxy instead of hardware L4
Multi-team effort
client, server, cloud
We get
more flexibility
less latency

LINE Global POP
New York
Tokyo
Seoul
HK
Singapole
Beijing
Frankfurt
a
a

Network layer control
High latency
Fit for cloud
Global
Testing in Thailand
TH  KR
GSLB
TH  SG  KR
HAProxy
500
1000
1500
2 12 206 16

Process
Dev
Ops
Government
The structure of your organization affects the structure of your software.
And vice-versa!
DevOps
Small StartupCHOOSE

Process
Progressive / Easy, simple
Requirements for our new platform :
We have many third parties and technology stacks involved...
Etc.

Process
For ourselves
simple reliable future proof

Process
Why not…
Docker Swarm
or CoreOS
Mesos Kubernetes

Process
KEEP THINGS SIMPLE AND RELIABLE!
For distributed systems, minimize coordination
A good paper: https://blog.acolyer.org/2016/01/19/dcft/
• Polling
• 1way dataflow
• Idempotency
• Commutativity
• limited trust

LGC Story
Games planned for release were suddenly canceled
but we needed to show results!
Strong “sales” efforts to release other games
on the LGC platform

Putting Out Fires
The release was a success,followed by a
quick scaling-up, and then our first fires…
TECHNICAL
Riak fire : the system works with Riak down
OE fire: the system works with OE down
Hardware and conf fires (TDI! Soon to come!)
Full container reboot
improved our design through limited trust

Domain HAP
Launch
service
Configure/
load balance
Expose
ports
Bind
URL
In one click!

High
availability
Low cost
Why Do We Need It?

How Did We Build it?
Data Collector
Monitoring API
Predicator
Metrics
Raw Metrics
Scaler
States
Game Cloud API
Excute Scaling
Gearbox

Challenges
Complex query
Plenty of metrics
records
millions of records
per day
Scalability of the
auto-scaling
system itself

Solutions
Data Collector
Monitoring API
Predicator
Metrics
Metrics
Scaler
States
Game Cloud API
Excute
Scaling
Gearbox
Module
Storage
ElasticSearchAdmin Site
Strategy
Scaler Log
Metrics
1.Strategy
2.Metrics
{ }
Predicator
Log
1.Strategy
2.Scaler Log

Future
QUIC
SDN
ACL, IP by container, VLAN etc.
Cloud storage
TDI
Distributed GC – link paper
DCTCP
Image GC

Future
UX
Helpers/presets
Speed
Doc/tests/guides…
Reliability

SDN- Software-Defined Networking
Container
specific IP
ACLs VLANs

TDI- Test-Driven Infrastructure
hardware OS
configuration
images
backup/
restore
Automated testing for
Etc.
firmware,
version, etc.

Distributed GC
Max
Avg.GC pause
http://arxiv.org/pdf/1504.02578.pdf
Median
Std.Dev.
Mean
7.847
0.0
2.296
0.579
2.312
GC off
7.743
12.243
2.294
0.582
2.311
Blade
164.206
12.339
2.297
3.395
2.403
GC on

Added in Linux 3.18
https://kernelnewbies.org/
Linux_3.18
http://simula.stanford.edu/
~alizade/Site/DCTCP.html
DCTCP- Data Center TCP
- high burst tolerance
- low latency
- high throughput
http://simula.stanford.edu/~alizade/Site/DCTCP.html

Distributed GC
Because we generate
tons of
Docker images

• AP
• Optional CP
• Index/search
• CRDT
• Multiple backends
• User ACL support
RIAK/Choose a Safe and Simple Friend
Make a deliberate choice of consistency model
SQL
NoSQL
But actually…
With the authorization of Kingsbury Kyle (Aphyr)

What's hot

Kafka is the bedrock of Wix’s distributed Mega Microservices system. Over the years we have learned a lot about how to successfully scale our event-driven architecture to roughly 1400 mostly Scala microservices. In this talk, you will learn about 10 key decisions and steps you can take in order to safely scale-up your Kafka-based system. These Include: * How to increase dev velocity of event-driven style code. * How to optimize working with Kafka in polyglot setting * How to migrate from request-reply to event-driven * How to tackle multiple DCs environment.

10 Lessons Learned from using Kafka in 1000 microservices - ScalaUA

Natan Silnitsky

The Netflix API has undergone a transformation since its inception in 2008. It has transitioned from being a public API with a generic RESTful interface to a platform for creating highly optimized, device-centric APIs that are critical to delivering the Netflix streaming experience on over 1000 different device types. This talk covers the design principles that shaped the transformation of the API as well as the technology that powers it, enabling rapid user experience iteration and bringing Netflix streaming to almost 38 million subscribers around the world.

API World 2013 - Transforming the Netflix API

Benjamin Schmaus

Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.

Securing Your Containerized Applications with NGINX

Docker, Inc.

KazooCon 2014 - Kazoo Scalability

2600Hz

Encryption is a favorite of security and compliance professionals everywhere. Many compliance frameworks actually mandate encryption. Though encryption is important, it is also treacherous. Cryptographic protocols are subtle, and researchers are constantly finding new and creative flaws in them. Using encryption correctly, especially over time, also is expensive because you have to stay up to date. AWS wants to encrypt data. And our customers, including Amazon, want to encrypt data. In this talk, we look at some of the challenges with using encryption, how AWS thinks internally about encryption, and how that thinking has informed the services we have built, the features we have vended, and our own usage of AWS.

AWS re:Invent 2016: Encryption: It Was the Best of Controls, It Was the Worst...

Amazon Web Services

Edge architecture ieee international conference on cloud engineering

Mikey Cohen - Hiring Amazing Engineers

Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2h3bAvP. Haley Tucker discusses how other systems may affect Netflix' services, strategies to protect their systems and make sure they won't fail even if things go wrong. Filmed at qconsf.com. Haley Tucker works on the Playback Features team at Netflix, responsible for ensuring that customers receive the best possible viewing experience every time they click play. Her services fill a key role in enabling Netflix to stream amazing content to 65M+ members on 1000+ devices.

Stranger Things: The Forces that Disrupt Netflix

C4Media

At Wix, we have created a universal event-driven programming infrastructure on top of the Kafka message broker. This infra makes sure messages are eventually successfully consumed and produced no matter what failure it encounters. In this talk, you will learn about the features we introduced in order to make sure our distributed system can safely handle an ever growing message throughput in a fault tolerant manner. You will be introduced to such techniques as retry topics, local persistent queues, and cooperative fibers that help make your flows more resilient and performant. You will also learn how to make this infra work for all programming languages tech stacks with optimal resource manage using the power of Kubernetes and gRPC. When to use a client library, and when to deploy an external pod (DaemonSet, StatefulSet) or even deploy a sidecar.

Polyglot, Fault Tolerant Event-Driven Programming with Kafka, Kubernetes and ...

Natan Silnitsky

Learn how you can leverage the many Netflix Open Source tools to help grow your services to web-scale, and make them robust and resilient. We cover a variety of the OSS components-from operational tools like Asgard and Simian Army, to core services and libraries like Zuul, Eureka, Archaius, and Hystrix, plus a variety of security and big data tools. We walk through a sample application to illustrate how the many components fit together to build a cohesive solution.

(DEV309) From Asgard to Zuul: How Netflix’s Proven Open Source Tools Can Help...

Amazon Web Services

WebSocket MicroService vs. REST Microservice

Rick Hightower

In this talk I go over the basic theory of messaging in distributed systems, the different message delivery guarantees in Kafka and the to use them. I focus on exactly once delivery guarantees and the way Kafka implements it with transaction based messaging protocol. Including a discussion of the latency/throughput trade-offs, resource utilisation and its overall advantages and shortcomings. Finally, I show a use-case at Wix where exactly once delivery helped us solve a big problem.

Exactly Once Delivery with Kafka - JOTB2020 Mini Session

Natan Silnitsky

Timelines at Scale (Raffi Krikorian - VP of Engineering at Twitter)

Chris Bolman

KazooCon 2014 - Introduction to Kazoo APIs!

2600Hz

Kafka on Pulsar

StreamNative

Eugene PHP June 2015 - Let's Talk Laravel

anaxamaxan

Database transaction isolation and locking in Java

Constantine Slisenka

In Apache Pulsar Beijing Meetup, Sijie Guo and Yong Zhang gave a preview of transaction support in Pulsar 2.5.0. Sijie Guo started with the current state of messaging semantics in Pulsar and talked about the implementation of message deduplication introduced by PIP-6. Then he went into the details of why do we need transaction and how do we implement transaction in Pulsar. Finally Yong walked through the whole transaction execution flow.

Transaction Support in Pulsar 2.5.0

StreamNative

The session will cover the details on how geo replicated topic works under the hood while also touching lightly on the replicated subscriptions. Then we will steer towards the pulsar’s behaviour in various scenarios like updating replicated topic, changes in cluster topology, outages, etc and end with the metrics & configurations to look out for. We will also look into configurations to have predictable failover for replicated subscriptions when dealing with unbounded cross-region lag or subscription lag itself.

No Surprises Geo Replication - Pulsar Virtual Summit Europe 2021

StreamNative

Superpowered Media Server for Android

Patrick Vlaskovits

2600Hz - The Next Wave - KazooCon 2015

2600Hz

What's hot (20)

10 Lessons Learned from using Kafka in 1000 microservices - ScalaUA

API World 2013 - Transforming the Netflix API

Securing Your Containerized Applications with NGINX

KazooCon 2014 - Kazoo Scalability

AWS re:Invent 2016: Encryption: It Was the Best of Controls, It Was the Worst...

Edge architecture ieee international conference on cloud engineering

Stranger Things: The Forces that Disrupt Netflix

Polyglot, Fault Tolerant Event-Driven Programming with Kafka, Kubernetes and ...

(DEV309) From Asgard to Zuul: How Netflix’s Proven Open Source Tools Can Help...

WebSocket MicroService vs. REST Microservice

Exactly Once Delivery with Kafka - JOTB2020 Mini Session

Timelines at Scale (Raffi Krikorian - VP of Engineering at Twitter)

KazooCon 2014 - Introduction to Kazoo APIs!

Kafka on Pulsar

Eugene PHP June 2015 - Let's Talk Laravel

Database transaction isolation and locking in Java

Transaction Support in Pulsar 2.5.0

No Surprises Geo Replication - Pulsar Virtual Summit Europe 2021

Superpowered Media Server for Android

2600Hz - The Next Wave - KazooCon 2015

Similar to B 2 line game cloud - our personal ec2

SpringOne 2016 in a nutshell

Jeroen Resoort

More info: https://cnfl.io/cloud-native-experience-for-kafka-in-cloud | Neha Narkhede is co-founder and CTO at Confluent, a company backing the popular Apache Kafka messaging system. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Apache Kafka and Apache Samza. She is one of the initial authors of Apache Kafka and a committer and PMC member on the project.

Neha Narkhede | Kafka Summit London 2019 Keynote | Event Streaming: Our Cloud...

confluent

Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native apps. But what to do if you’ve no shiny new cloud native apps but a whole bunch of JEE legacy systems? No chance to leverage the advantages of Kubernetes? Yes you can! We’re facing the challenge of migrating hundreds of JEE legacy applications of a major German insurance company onto a Kubernetes cluster within one year. We're now close to the finish line and it worked pretty well so far. The talk will be about the lessons we've learned - the best practices and pitfalls we've discovered along our way. We'll provide our answers to life, the universe and a cloud native journey like: - What technical constraints of Kubernetes can be obstacles for applications and how to tackle these? - How to architect a landscape of hundreds of containerized applications with their surrounding infrastructure like DBs MQs and IAM and heavy requirements on security? - How to industrialize and govern the migration process? - How to leverage the possibilities of a cloud native platform like Kubernetes without challenging the tight timeline?

The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...

Josef Adersberger

CloudNativeCon North America 2017, Austin (Texas, USA): Talk by Josef Adersberger (@adersberger, CTO at QAware) Abstract: Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native apps. But what to do if you’ve no shiny new cloud native apps but a whole bunch of JEE legacy systems? No chance to leverage the advantages of Kubernetes? Yes you can! We’re facing the challenge of migrating hundreds of JEE legacy applications of a major German insurance company onto a Kubernetes cluster within one year. We're now close to the finish line and it worked pretty well so far. The talk will be about the lessons we've learned - the best practices and pitfalls we've discovered along our way. We'll provide our answers to life, the universe and a cloud native journey like: - What technical constraints of Kubernetes can be obstacles for applications and how to tackle these? - How to architect a landscape of hundreds of containerized applications with their surrounding infrastructure like DBs MQs and IAM and heavy requirements on security? - How to industrialize and govern the migration process? - How to leverage the possibilities of a cloud native platform like Kubernetes without challenging the tight timeline?

Migrating Hundreds of Legacy Applications to Kubernetes - The Good, the Bad, ...

QAware GmbH

Cloud Native Data Pipelines (DataEngConf SF 2017)

Sid Anand

The Central Bank of the Republic of Turkey is primarily responsible for steering the monetary and exchange rate policies in Turkey. One of the major core functions of the Bank is market operations. In this context, analyzing and interpreting real-time tick data related to money market instruments has become not only a requirement but also a challenge. For this use case, an API provided by one of the financial data vendors has been used to gather real-time tick data and data routing has been orchestrated by Apache NiFi. Gathered data is being transferred to Kafka topics and then handed off to Druid for real-time indexing tasks. Indicators such as effective cost, bid-ask spread, price impact measures, return reversal are calculated using Apache Storm and finally visualized by means of Apache Superset in order to provide decision-makers with a new set of tools.

Observing Intraday Indicators Using Real-Time Tick Data on Apache Superset an...

DataWorks Summit

InterCon 2016 - SLA vs Agilidade: uso de microserviços e monitoramento de cloud

iMasters

It’s impossible to understand the health of your system without real-time logging. Our logging platform is one of our favorite and most popular features, and currently handles millions of requests and gigabytes per second of traffic. It’s stateless, real-time, and can provide insight and ship data to a multitude of destinations. Fastly has consistently iterated to keep up with the growth of the platform, and we’ve learned many lessons along the way. In this talk, you’ll get a peek into the system, and how we’ve developed it.

The burden of a successful feature: Scaling our real time logging platform

Fastly

See what's new in #Serverless and #Data at GCP. Our guest, Guillaume Blaquiere - Stack Overflow contributor & #GCP #Developer Expert from France, covered the best #GoogleCloudNext announcements, practically demoed how to benefit from #BigQuery Remote Functions and answered many questions. The meetup recording with TOC for easy navigation is at https://youtu.be/AuZZTwHIcdY P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/

Google Cloud Next '22 Recap: Serverless & Data edition

Daniel Zivkovic

EQR Reporting: Rails + Amazon EC2

jeperkins4

devworkshop-10_28_1015-amazon-conference-presentation

Alex Wu

Developing high frequency indicators using real time tick data on apache supe...

Zekeriya Besiroglu

In this meetup, Kobi Salant - Data Platform Technical Lead & Vladi Feigin - Data System Architect, both from Liveperson will talk about : Making scale a non-issue for real-time Data apps. Have you ever tried to build a system processing in real-time hundreds of thousands events per second and servicing more than 1M concurrent visitors? We're going to talk about the LivePerson real-time stream processing solution doing exactly that. Learn how we empower digital call centers with insights for their critical decision making processes and never-ending efficiency goals.

Liveperson DLD 2015

LivePerson

Game Analytics at London Apache Druid Meetup

Jelena Zanko

What do you do when your usual setup or turnkey solution isn’t suited for your workload? Most of the documentation and user feedback that you can find about OpenStack is written for the use-case of running a public facing cloud serving several external customers. When you want to host a single tenant with a single application the problem is completely different, you don't want publicly exposed APIs. You want to ensure optimal resource allocation to maximize your application performance. You want to leverage the fact that you own the infrastructure layer to optimize your instance placement strategy, and to get the best latency and to avoid creating SPOFs using affinity (or anti affinity rules). This talk will focus on what we learned during a two years journey; from getting OpenStack up and running reliably, to investigating performance bottlenecks, to maximizing the performance of our private cloud.

Openstack Summit Tokyo 2015 - Building a private cloud to efficiently handle ...

Pierre GRANDIN

12-Step Program for Scaling Web Applications on PostgreSQL

Konstantin Gredeskoul

Scaling spark on kubernetes at Lyft

Li Gao

Preparing for Neo - Singapore OutSystems User Group October 2022 Meetup

YashrajNayak4

Google cloud platform intro abril 2014 (1)solsona

GeneXus

Google cloud platform intro, Csoftmty FACPYA 2014

Javier Madinabeitia

Similar to B 2 line game cloud - our personal ec2 (20)

SpringOne 2016 in a nutshell

Neha Narkhede | Kafka Summit London 2019 Keynote | Event Streaming: Our Cloud...

The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...

Migrating Hundreds of Legacy Applications to Kubernetes - The Good, the Bad, ...

Cloud Native Data Pipelines (DataEngConf SF 2017)

Observing Intraday Indicators Using Real-Time Tick Data on Apache Superset an...

InterCon 2016 - SLA vs Agilidade: uso de microserviços e monitoramento de cloud

The burden of a successful feature: Scaling our real time logging platform

Google Cloud Next '22 Recap: Serverless & Data edition

EQR Reporting: Rails + Amazon EC2

devworkshop-10_28_1015-amazon-conference-presentation

Developing high frequency indicators using real time tick data on apache supe...

Liveperson DLD 2015

Game Analytics at London Apache Druid Meetup

Openstack Summit Tokyo 2015 - Building a private cloud to efficiently handle ...

12-Step Program for Scaling Web Applications on PostgreSQL

Scaling spark on kubernetes at Lyft

Preparing for Neo - Singapore OutSystems User Group October 2022 Meetup

Google cloud platform intro abril 2014 (1)solsona

Google cloud platform intro, Csoftmty FACPYA 2014

Recently uploaded

Real Time Object Detection Using Open CV

Khem

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

Delhi Call girls

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Delhi Call girls

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 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 Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

apidays

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

Explore 'The Codex of Business: Writing Software for Real-World Solutions,' a compelling SlideShare presentation that delves into digital transformation in healthcare. Discover through a detailed case study how Agile methodologies empower healthcare providers to develop, iterate, and refine digital solutions that address real-world challenges. Learn how strategic planning, user feedback, and continuous improvement drive success in deploying technologies that enhance patient care and operational efficiency. Ideal for healthcare professionals, IT specialists, and digital transformation advocates seeking actionable insights and practical examples of technology making a real difference.

The Codex of Business Writing Software for Real-World Solutions 2.pptx

Malak Abu Hammad

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

🐬 The future of MySQL is Postgres 🐘

RTylerCroy

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

UK Journal

How to convert PDF to text with Nanonets

naman860154

Scaling API-first – The story of a global engineering organization

Radu Cotescu

A Call to Action for Generative AI in 2024

Results

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Recently uploaded (20)

Real Time Object Detection Using Open CV

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Advantages of Hiring UIUX Design Service Providers for Your Business

The Codex of Business Writing Software for Real-World Solutions 2.pptx

What Are The Drone Anti-jamming Systems Technology?

2024: Domino Containers - The Next Step. News from the Domino Container commu...

🐬 The future of MySQL is Postgres 🐘

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

Boost PC performance: How more available memory can improve productivity

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

How to convert PDF to text with Nanonets

Scaling API-first – The story of a global engineering organization

A Call to Action for Generative AI in 2024

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Artificial Intelligence: Facts and Myths

Driving Behavioral Change for Information Management through Data-Driven Gree...

Data Cloud, More than a CDP by Matt Robison

GenCyber Cyber Security Day Presentation

B 2 line game cloud - our personal ec2

2. Currently on the Cloud

3. 1 Our situation in 2014 2 How we improved 3 Sweet things 4 More sweet things 5 Future

4. 1 Our situation in 2014 2 How we improved 3 Sweet things 4 More sweet things 5 Future

5. Our situation in 2014 1st gen “HSP” – (2014) from cybercafe/漫画木さ/PC방 platform 2nd gen ECDH-based key exchange Platform Billing/AAA/Monitoring, etc. & Game servers “LGC” – (cloud release) 3rd gen: “Trident” – (current)

6. Globalization Issues abroad Loading… Loading… Loading… Loading… Fail!

7. Process Dev/QA/Sandbox/REAL… Get VM Get L4 binding ACLs/storage, etc. From hours to days…

8. Thus, the Game Cloud project began…

9. 1 Our situation in 2014 2 How we improved 3 Sweet things 4 More sweet things 5 Future

10. Global In our case GSLB (Global Server Load Balancing) HAProxy instead of hardware L4 Multi-team effort client, server, cloud We get more flexibility less latency

11. LINE Global POP New York Tokyo Seoul HK Singapole Beijing Frankfurt a a

12. Network layer control High latency Fit for cloud Global Testing in Thailand TH  KR GSLB TH  SG  KR HAProxy 500 1000 1500 2 12 206 16

13. Process Dev Ops Government The structure of your organization affects the structure of your software. And vice-versa! DevOps Small StartupCHOOSE

14. Process Progressive / Easy, simple Requirements for our new platform : We have many third parties and technology stacks involved... Etc.

15. Process For ourselves simple reliable future proof

16. Process Why not… Docker Swarm or CoreOS Mesos Kubernetes

17.

18. Process KEEP THINGS SIMPLE AND RELIABLE! For distributed systems, minimize coordination A good paper: https://blog.acolyer.org/2016/01/19/dcft/ • Polling • 1way dataflow • Idempotency • Commutativity • limited trust

19. LGC Story Games planned for release were suddenly canceled but we needed to show results! Strong “sales” efforts to release other games on the LGC platform

20.

21. Putting Out Fires The release was a success,followed by a quick scaling-up, and then our first fires… TECHNICAL Riak fire : the system works with Riak down OE fire: the system works with OE down Hardware and conf fires (TDI! Soon to come!) Full container reboot improved our design through limited trust

22.

23. 1 Our situation in 2014 2 How we improved 3 Sweet things 4 More sweet things 5 Future

24.

25. Domain HAP Launch service Configure/ load balance Expose ports Bind URL In one click!

26. Monitoring

27. 1 Our situation in 2014 2 How we improved 3 Sweet things 4 More sweet things 5 Future

28.

29. Gearbox Auto Scaling System

30. High availability Low cost Why Do We Need It?

31.

32. How Does It Work?

33. How Did We Build it? Data Collector Monitoring API Predicator Metrics Raw Metrics Scaler States Game Cloud API Excute Scaling Gearbox

34. Challenges Complex query Plenty of metrics records millions of records per day Scalability of the auto-scaling system itself

35. Solutions Data Collector Monitoring API Predicator Metrics Metrics Scaler States Game Cloud API Excute Scaling Gearbox Module Storage ElasticSearchAdmin Site Strategy Scaler Log Metrics 1.Strategy 2.Metrics { } Predicator Log 1.Strategy 2.Scaler Log

36. Knife Admin Site

37. Deploying a New Service

38. Upgrade

39. Configuring the Auto-Scaling Policy

40. Back to Jojo What’s coming next!

41. 1 Our situation in 2014 2 How we improved 3 Sweet things 4 More sweet things 5 Future

42. Future QUIC SDN ACL, IP by container, VLAN etc. Cloud storage TDI Distributed GC – link paper DCTCP Image GC

43. Future UX Helpers/presets Speed Doc/tests/guides… Reliability

44. QUIC Quick UDP Internet Connections

45. Cloud Storage

46. SDN- Software-Defined Networking Container specific IP ACLs VLANs

47. TDI- Test-Driven Infrastructure hardware OS configuration images backup/ restore Automated testing for Etc. firmware, version, etc.

48. Distributed GC Max Avg.GC pause http://arxiv.org/pdf/1504.02578.pdf Median Std.Dev. Mean 7.847 0.0 2.296 0.579 2.312 GC off 7.743 12.243 2.294 0.582 2.311 Blade 164.206 12.339 2.297 3.395 2.403 GC on

49. Added in Linux 3.18 https://kernelnewbies.org/ Linux_3.18 http://simula.stanford.edu/ ~alizade/Site/DCTCP.html DCTCP- Data Center TCP - high burst tolerance - low latency - high throughput http://simula.stanford.edu/~alizade/Site/DCTCP.html

50. Distributed GC Because we generate tons of Docker images

51. And more and more…

52.

53.

54. • AP • Optional CP • Index/search • CRDT • Multiple backends • User ACL support RIAK/Choose a Safe and Simple Friend Make a deliberate choice of consistency model SQL NoSQL But actually… With the authorization of Kingsbury Kyle (Aphyr)

55. DataScript / Maintain Queries

B 2 line game cloud - our personal ec2

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to B 2 line game cloud - our personal ec2

Similar to B 2 line game cloud - our personal ec2 (20)

More from LINE Corporation

More from LINE Corporation (20)

Recently uploaded

Recently uploaded (20)

B 2 line game cloud - our personal ec2