A 20 minute talk about how WePay runs airflow. Discusses usage and operations. Also covers running Airflow in Google cloud.
Video of the talk is available here:
https://wepayinc.box.com/s/hf1chwmthuet29ux2a83f5quc8o5q18k
It is a basic presentation which can help you understand the basic concepts about Graphql and how it can be used to resolve the frontend integration of projects and help in reducing the data fetching time
This presentation also explains the core features of Graphql and why It is a great alternative for REST APIs along with the procedure with which we can integrate it into our projects
Seven Habits of Highly Effective Jenkins Users (2014 edition!)Andrew Bayer
What plugins, tools and behaviors can help you get the most out of your Jenkins setup without all of the pain? We'll find out as we go over a set of Jenkins power tools, habits and best practices that will help with any Jenkins setup.
A 20 minute talk about how WePay runs airflow. Discusses usage and operations. Also covers running Airflow in Google cloud.
Video of the talk is available here:
https://wepayinc.box.com/s/hf1chwmthuet29ux2a83f5quc8o5q18k
It is a basic presentation which can help you understand the basic concepts about Graphql and how it can be used to resolve the frontend integration of projects and help in reducing the data fetching time
This presentation also explains the core features of Graphql and why It is a great alternative for REST APIs along with the procedure with which we can integrate it into our projects
Seven Habits of Highly Effective Jenkins Users (2014 edition!)Andrew Bayer
What plugins, tools and behaviors can help you get the most out of your Jenkins setup without all of the pain? We'll find out as we go over a set of Jenkins power tools, habits and best practices that will help with any Jenkins setup.
Camel Day Italy 2021 - What's new in Camel 3Claus Ibsen
Slides for the 50 min presentation at Camel Day Italy 2021, where Claus Ibsen and Andrea Cosentino had the opporunity to give a more deep dive talk about the journey towards Camel 3, and what we have done to re-architect camel core in v3 to make it awesome for microservices, cloud native, kubernetes, quarkus, graalvm, knative, apache kafka.
Camel Day Italy 2021: https://www.meetup.com/it-IT/red-hat-developers-italy/events/275332376/
Seamless replication and disaster recovery for Apache Hive WarehouseDataWorks Summit
As Apache Hadoop clusters become central to an organization’s operations, they have clusters in more than one data center. Historically, this has been largely driven by requirements of business continuity planning or geo localization. It has also recently been gaining a lot of interest from a hybrid cloud perspective, i.e. wherein people are trying to augment their traditional on-prem setup with cloud-based additions as well. A robust replication solution is a fundamental requirement in such cases.
Seamless disaster recovery has several challenges. Data, metadata, and transaction information need to be moved in sync. It should also be easy for the users and applications to reason about the state of the replica. The “hadoop scale” also brings unique challenges as bandwidth between clusters can be a limiting factor. The data transfer has to be minimized for replication, failover, as well as fail back scenarios.
In this talk we will discuss how the above challenges are addressed for supporting seamless replication and disaster recovery for Hive.
Speakers
Sankar Hariappan, Hortonworks, Staff Software Engineer
Anishek Agarwal, Hortonworks, Engineering Manager
AWS Interview Questions Part - 2 | AWS Interview Questions And Answers Part -...Simplilearn
This presentation about ‘AWS interview Questions’ will help every individual to prepare for their AWS job interviews. Also, the AWS interview questions mentioned in the presentation are the most frequently asked interview questions which have been explained with detailed answers and examples. In this presentation, you will see a list of questions related to:
1. AWS Snowball
2. AWS CloudFormation
3. AWS Elastic Beanstalk
4. Amazon Elastic Block Store
5. AWS Elastic Load Balancing
6. AWS Security
7. AWS IAM
8. Amazon Route 53
9. AWS Config
According to Robert half, AWS Certified Solutions Architect is the second highest paying IT Certifications. However, AWS Solution Architect is one of the most in-demand jobs in cloud computing today. Learn and get a deeper understanding of these important AWS interview questions, which will help you to clear your interview process with ease.
This AWS certification training is designed to help you gain in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready aws certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, computer, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at https://www.simplilearn.com/cloud-computing/aws-solution-architect-associate-training.
At Amazon, continuous integration and continuous delivery (CI/CD) techniques enable collaboration, increase agility, and deliver a high-quality product faster. In this talk, we walk you through the practices we use for both the CI and the CD of software delivery. For CI, we showcase how we incorporate pull requests to increase team collaboration. We also demonstrate how to optimize CI workflows for speed with caching, code analysis, and integration testing. For CD, we share example safety mechanisms, including canary testing, rollbacks, and availability zone redundancy. We use the AWS developer tools that were designed based on the internal Amazon tooling: AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, snapshots, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
Structured and centralized logging with serilogDenis Missias
Make your logs work for you and go beyond unstructured textual logs to create modern log information with rich, structured and centralized log.
https://serilog.net/
From common errors seen in running Spark applications, e.g., OutOfMemory, NoClassFound, disk IO bottlenecks, History Server crash, cluster under-utilization to advanced settings used to resolve large-scale Spark SQL workloads such as HDFS blocksize vs Parquet blocksize, how best to run HDFS Balancer to re-distribute file blocks, etc. you will get all the scoop in this information-packed presentation.
2 hour session where I cover what is Apache Camel, latest news on the upcoming Camel v3, and then the main topic of the talk is the new Camel K sub-project for running integrations natively on the cloud with kubernetes. The last part of the talk is about running Camel with GraalVM / Quarkus to archive native compiled binaries that has impressive startup and footprint.
Practical learnings from running thousands of Flink jobsFlink Forward
Flink Forward San Francisco 2022.
Task Managers constantly running out of memory? Flink job keeps restarting from cryptic Akka exceptions? Flink job running but doesn’t seem to be processing any records? We share practical learnings from running thousands of Flink Jobs for different use-cases and take a look at common challenges they have experienced such as out-of-memory errors, timeouts and job stability. We will cover memory tuning, S3 and Akka configurations to address common pitfalls and the approaches that we take on automating health monitoring and management of Flink jobs at scale.
by
Hong Teoh & Usamah Jassat
With the rise of Microservice Architectures and rich mobile and web applications, APIs are more important than ever. Come learn how to tackle modern API design challenges with GraphQL, an open-source API query language used by Facebook, Amazon, Microsoft, Twitter, Virgin Trains, and more.
Using the New Apache Flink Kubernetes Operator in a Production DeploymentFlink Forward
Flink Forward San Francisco 2022.
Running natively on Kubernetes, using the new Apache Flink Kubernetes Operator is a great way to deploy and manage Flink application and session deployments. In this presentation, we provide: - A brief overview of Kubernetes operators and their benefits. - Introduce the five levels of the operator maturity model. - Introduce the newly released Apache Flink Kubernetes Operator and FlinkDeployment CRs - Dockerfile modifications you can make to swap out UBI images and Java of the underlying Flink Operator container - Enhancements we're making in: - Versioning/Upgradeability/Stability - Security - Demo of the Apache Flink Operator in-action, with a technical preview of an upcoming product using the Flink Kubernetes Operator. - Lessons learned - Q&A
by
James Busche & Ted Chang
Kafka on Kubernetes: Keeping It Simple (Nikki Thean, Etsy) Kafka Summit SF 2019confluent
Cloud migration: it's practically a rite of passage for anyone who's built infrastructure on bare metal. When we migrated our 5-year-old Kafka deployment from the datacenter to GCP, we were faced with the task of making our highly mutable server infrastructure more cloud-friendly. This led to a surprising decision: we chose to run our Kafka cluster on Kubernetes. I'll share war stories from our Kafka migration journey, explain why we chose Kubernetes over arguably simpler options like GCP VMs, and present the lessons we learned while making our way toward a stable and self-healing Kubernetes deployment. I'll also go through some improvements in the more recent Kafka releases that make upgrades crucial for any Kafka deployment on immutable and ephemeral infrastructure. You'll learn what happens when you try to run one complex distributed system on top of another, and come away with some handy tricks for automating cloud cluster management, plus some migration pitfalls to avoid. And if you're not sure whether running Kafka on Kubernetes is right for you, our experiences should provide some extra data points that you can use as you make that decision.
Apache Karaf - Building OSGi applications on Apache Karaf - T Frank & A Grzesikmfrancis
OSGi Community Event 2014
Abstract:
Experience level: Beginner
Apache Karaf is a small OSGi based runtime which provides a lightweight container onto which various components and applications can be deployed.
This session gives an overview over Apache Karaf, how to manage and configure Apache Karaf and how to use the comprehensive command shell that Karaf provides. By the example of a simple pet clinic application we will demonstrate how to build and deploy a web application on Apache Karaf. This talk will introduce the different deployment mechanisms available in Karaf and how to deploy bundles from the file system, command shell or via a maven repository. You will learn how to manage external dependencies via features, use the Karaf maven plugin to create features and build and configure persistence bundles for Apache Karaf. We will further give an overview, how to use Karaf in a cloud environment and how to use the Apache Cellar project to build up an Apache Karaf cluster.
Speaker Bios:
Torsten Frank
Torsten Frank is an entrepreneur and healthcare IT expert with international experience and a strong background in product and business development. He is CEO and founder of medisite, a company that delivers highly specialized healthcare IT solutions to their customers for more than 10 years. medisite is a winner of the Federal Ministry for Economic Affairs and Energy (BMWi) “Trusted Cloud” technology competition, geared toward secure cloud computing for SMEs and the public sector. Torsten Frank holds a medical degree from the Hannover Medical School, where he also has worked for several years as a physician at the Department of Cardiothoracic Surgery after completing his medical studies in Hannover, Germany and Chicago, USA.
Alexander Grzesik
Alexander is the head of development of medisite Systemhaus GmbH and responsible for the development of the the PaaS+ cloud platform the clinical information system m.life and software architect for the TRESOR Project.
He has 15 years of work experience in medical Software development as team leader and software architect.
Expert for Software Architecture, OSGi, Java and Java EE.
Alexander has been a speaker at several conferences including EclipseCon Europe and the OpenShift Community Day.
Learn tips and techniques that will improve the performance of your applications and databases running on Amazon EC2 instance storage and/or Amazon Elastic Block Store (EBS). This advanced session discusses when to use HI1, HS1, and Amazon EBS. We will share an "under the hood" view to tune the performance of your Elastic Block Store and best practices for running workloads on Amazon EBS, such as relational databases (MySQL, Oracle, SQL Server, Postgres) and NoSQL data stores, such as MongoDB and Riak.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
Camel Day Italy 2021 - What's new in Camel 3Claus Ibsen
Slides for the 50 min presentation at Camel Day Italy 2021, where Claus Ibsen and Andrea Cosentino had the opporunity to give a more deep dive talk about the journey towards Camel 3, and what we have done to re-architect camel core in v3 to make it awesome for microservices, cloud native, kubernetes, quarkus, graalvm, knative, apache kafka.
Camel Day Italy 2021: https://www.meetup.com/it-IT/red-hat-developers-italy/events/275332376/
Seamless replication and disaster recovery for Apache Hive WarehouseDataWorks Summit
As Apache Hadoop clusters become central to an organization’s operations, they have clusters in more than one data center. Historically, this has been largely driven by requirements of business continuity planning or geo localization. It has also recently been gaining a lot of interest from a hybrid cloud perspective, i.e. wherein people are trying to augment their traditional on-prem setup with cloud-based additions as well. A robust replication solution is a fundamental requirement in such cases.
Seamless disaster recovery has several challenges. Data, metadata, and transaction information need to be moved in sync. It should also be easy for the users and applications to reason about the state of the replica. The “hadoop scale” also brings unique challenges as bandwidth between clusters can be a limiting factor. The data transfer has to be minimized for replication, failover, as well as fail back scenarios.
In this talk we will discuss how the above challenges are addressed for supporting seamless replication and disaster recovery for Hive.
Speakers
Sankar Hariappan, Hortonworks, Staff Software Engineer
Anishek Agarwal, Hortonworks, Engineering Manager
AWS Interview Questions Part - 2 | AWS Interview Questions And Answers Part -...Simplilearn
This presentation about ‘AWS interview Questions’ will help every individual to prepare for their AWS job interviews. Also, the AWS interview questions mentioned in the presentation are the most frequently asked interview questions which have been explained with detailed answers and examples. In this presentation, you will see a list of questions related to:
1. AWS Snowball
2. AWS CloudFormation
3. AWS Elastic Beanstalk
4. Amazon Elastic Block Store
5. AWS Elastic Load Balancing
6. AWS Security
7. AWS IAM
8. Amazon Route 53
9. AWS Config
According to Robert half, AWS Certified Solutions Architect is the second highest paying IT Certifications. However, AWS Solution Architect is one of the most in-demand jobs in cloud computing today. Learn and get a deeper understanding of these important AWS interview questions, which will help you to clear your interview process with ease.
This AWS certification training is designed to help you gain in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready aws certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, computer, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at https://www.simplilearn.com/cloud-computing/aws-solution-architect-associate-training.
At Amazon, continuous integration and continuous delivery (CI/CD) techniques enable collaboration, increase agility, and deliver a high-quality product faster. In this talk, we walk you through the practices we use for both the CI and the CD of software delivery. For CI, we showcase how we incorporate pull requests to increase team collaboration. We also demonstrate how to optimize CI workflows for speed with caching, code analysis, and integration testing. For CD, we share example safety mechanisms, including canary testing, rollbacks, and availability zone redundancy. We use the AWS developer tools that were designed based on the internal Amazon tooling: AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, snapshots, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
Structured and centralized logging with serilogDenis Missias
Make your logs work for you and go beyond unstructured textual logs to create modern log information with rich, structured and centralized log.
https://serilog.net/
From common errors seen in running Spark applications, e.g., OutOfMemory, NoClassFound, disk IO bottlenecks, History Server crash, cluster under-utilization to advanced settings used to resolve large-scale Spark SQL workloads such as HDFS blocksize vs Parquet blocksize, how best to run HDFS Balancer to re-distribute file blocks, etc. you will get all the scoop in this information-packed presentation.
2 hour session where I cover what is Apache Camel, latest news on the upcoming Camel v3, and then the main topic of the talk is the new Camel K sub-project for running integrations natively on the cloud with kubernetes. The last part of the talk is about running Camel with GraalVM / Quarkus to archive native compiled binaries that has impressive startup and footprint.
Practical learnings from running thousands of Flink jobsFlink Forward
Flink Forward San Francisco 2022.
Task Managers constantly running out of memory? Flink job keeps restarting from cryptic Akka exceptions? Flink job running but doesn’t seem to be processing any records? We share practical learnings from running thousands of Flink Jobs for different use-cases and take a look at common challenges they have experienced such as out-of-memory errors, timeouts and job stability. We will cover memory tuning, S3 and Akka configurations to address common pitfalls and the approaches that we take on automating health monitoring and management of Flink jobs at scale.
by
Hong Teoh & Usamah Jassat
With the rise of Microservice Architectures and rich mobile and web applications, APIs are more important than ever. Come learn how to tackle modern API design challenges with GraphQL, an open-source API query language used by Facebook, Amazon, Microsoft, Twitter, Virgin Trains, and more.
Using the New Apache Flink Kubernetes Operator in a Production DeploymentFlink Forward
Flink Forward San Francisco 2022.
Running natively on Kubernetes, using the new Apache Flink Kubernetes Operator is a great way to deploy and manage Flink application and session deployments. In this presentation, we provide: - A brief overview of Kubernetes operators and their benefits. - Introduce the five levels of the operator maturity model. - Introduce the newly released Apache Flink Kubernetes Operator and FlinkDeployment CRs - Dockerfile modifications you can make to swap out UBI images and Java of the underlying Flink Operator container - Enhancements we're making in: - Versioning/Upgradeability/Stability - Security - Demo of the Apache Flink Operator in-action, with a technical preview of an upcoming product using the Flink Kubernetes Operator. - Lessons learned - Q&A
by
James Busche & Ted Chang
Kafka on Kubernetes: Keeping It Simple (Nikki Thean, Etsy) Kafka Summit SF 2019confluent
Cloud migration: it's practically a rite of passage for anyone who's built infrastructure on bare metal. When we migrated our 5-year-old Kafka deployment from the datacenter to GCP, we were faced with the task of making our highly mutable server infrastructure more cloud-friendly. This led to a surprising decision: we chose to run our Kafka cluster on Kubernetes. I'll share war stories from our Kafka migration journey, explain why we chose Kubernetes over arguably simpler options like GCP VMs, and present the lessons we learned while making our way toward a stable and self-healing Kubernetes deployment. I'll also go through some improvements in the more recent Kafka releases that make upgrades crucial for any Kafka deployment on immutable and ephemeral infrastructure. You'll learn what happens when you try to run one complex distributed system on top of another, and come away with some handy tricks for automating cloud cluster management, plus some migration pitfalls to avoid. And if you're not sure whether running Kafka on Kubernetes is right for you, our experiences should provide some extra data points that you can use as you make that decision.
Apache Karaf - Building OSGi applications on Apache Karaf - T Frank & A Grzesikmfrancis
OSGi Community Event 2014
Abstract:
Experience level: Beginner
Apache Karaf is a small OSGi based runtime which provides a lightweight container onto which various components and applications can be deployed.
This session gives an overview over Apache Karaf, how to manage and configure Apache Karaf and how to use the comprehensive command shell that Karaf provides. By the example of a simple pet clinic application we will demonstrate how to build and deploy a web application on Apache Karaf. This talk will introduce the different deployment mechanisms available in Karaf and how to deploy bundles from the file system, command shell or via a maven repository. You will learn how to manage external dependencies via features, use the Karaf maven plugin to create features and build and configure persistence bundles for Apache Karaf. We will further give an overview, how to use Karaf in a cloud environment and how to use the Apache Cellar project to build up an Apache Karaf cluster.
Speaker Bios:
Torsten Frank
Torsten Frank is an entrepreneur and healthcare IT expert with international experience and a strong background in product and business development. He is CEO and founder of medisite, a company that delivers highly specialized healthcare IT solutions to their customers for more than 10 years. medisite is a winner of the Federal Ministry for Economic Affairs and Energy (BMWi) “Trusted Cloud” technology competition, geared toward secure cloud computing for SMEs and the public sector. Torsten Frank holds a medical degree from the Hannover Medical School, where he also has worked for several years as a physician at the Department of Cardiothoracic Surgery after completing his medical studies in Hannover, Germany and Chicago, USA.
Alexander Grzesik
Alexander is the head of development of medisite Systemhaus GmbH and responsible for the development of the the PaaS+ cloud platform the clinical information system m.life and software architect for the TRESOR Project.
He has 15 years of work experience in medical Software development as team leader and software architect.
Expert for Software Architecture, OSGi, Java and Java EE.
Alexander has been a speaker at several conferences including EclipseCon Europe and the OpenShift Community Day.
Learn tips and techniques that will improve the performance of your applications and databases running on Amazon EC2 instance storage and/or Amazon Elastic Block Store (EBS). This advanced session discusses when to use HI1, HS1, and Amazon EBS. We will share an "under the hood" view to tune the performance of your Elastic Block Store and best practices for running workloads on Amazon EBS, such as relational databases (MySQL, Oracle, SQL Server, Postgres) and NoSQL data stores, such as MongoDB and Riak.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
최근 인프라스트럭처 쪽에서는 플랫폼 엔지니어링이라는 말이 관심을 받고 있습니다. 최근 2년 동안 당근마켓에서 배포 시스템을 포함한 사내 개발자 플랫폼을 만들면서 플랫폼 엔지니어링에 관해 알게 되고 이를 잘 적용하기 위해 많은 고민을 했습니다. 그 결과 플랫폼 엔지니어링은 갑자기 새로 나왔다기 보다 DevOps부터 이어진 개발과 운영의 사일로 문제와 피드백 루프 문제를 해결하고 이 문제를 소프트웨어로 해결하는 SRE에서 이어진 개념이라고 생각하고 있습니다.
이 발표에서는 그동안 공부하고 고민하면서 알게된 플랫폼 엔지니어링이 무엇인지를 설명하고 왜 필요한지, 어떻게 적용해 볼 수 있는지에 관해 공유합니다.
https://inflearn.com/conf/infcon-2023/session-detail?id=782
<p>
[데브멘토 동영상]Simplify Development for DB 1부</p>
<p>
이동우 차장/퀘스트소프트웨어코리아</p>
<p>
시스템 컨설턴트, Toad Presales</p>
<p>
전 현대해상 차세대 프로젝트DBA</p>
<p>
전 SKT DBA 근무</p>
앱 디자인 시작하기
Starting App Design
2014. 9. 11
이 강의는 앱 디자인을 시작하는
디자이너를 위한 강의입니다.
강의 순서
1. 강의에 들어가며
2. 앱 디자인 시작하기
3. Case Study
4. 작업하기
5. 마치며
- 강의 페이지: http://isangho.com/study/appdesign
- SlideShare: https://www.slideshare.net/SanghoLee1/ss-38908104
- 비트코인 기부하기: http://daramghaus.com/donate/bitcoin
- 이메일: isangho@me.com
본 강의자료는 한국디자인진흥원 UXUI 전략직종 인력양성을 돕기위한 강의자료입니다. 초상권 및 자료 저작권과 관련된 부분이 있어 파일형태의 배포는 금지하며, 자료관리를 위해서 본 URL을 통해서만 공유합니다. 본 자료는 학습을 위한 용도로 사용하실 것을 부탁드립니다. 감사합니다.
오브젝트 책 10장 11장에 대한 내용을 발표로 만들어보았습니다.
자바를 사용하면서 객체지향프로그래밍이라는 단어는 수도 없이 들었지만, 여전히, 객체지향은 솜사탕을 만지는 느낌이였습니다.
'오브젝트' 책은 그런면에서 굉장히 실용적인 책이라는 점을 발견했고, 이를 Sliip 스터디에서 발표하게 되었습니다.
2. APIFirstDesign 설계의선순환
안녕하세요 J
다우기술 비즈 플랫폼 팀 김 정규 입니다.
Introduce
다우오피스 로그 플랫폼 구축 및 유지보수 담당.
책을 좋아하고,
발표를 즐겨하며,
사람을 좋아합니다.
joenggyu0@gmail.com
hihi3039
LenKIM
4. 협업하는 개발 프로세스에서 API 를 첫 번째 우선 순위로 가져가는 것
API First Design 설계의 선순환
왜 API-First가 필요한 걸까?
API-First Design 의미란 무엇일까?
어떻게 API-First Design 동작 되는 걸까?
API-First Design 의 장점은 무엇일까?
SwaggerCodeGen 을 활용한 API-First Design 실천 해보기
Road Map
APIFirstDesign 설계의선순환What is API First Design?
7. Release 가 증가함에 따른 개발 비용
APIFirstDesign 설계의선순환
COST/ LOC
0
50
100
150
200
250
300
350
400
1 2 3 4 5 6 7 8
처음 릴리즈의
약 40배
Major Release
What is API First?
9. APIFirstDesign 설계의선순환
• 기능이 동작만 하면 아키텍처 개선 없이 다음 기능 구현
• 기능 변경: 복붙 + 일부 수정 => ‘향후 문제시 해결 카드’
• 공유 부족으로 소수의 개발 인력에 대한 의존도 높아짐
• 좋은 설계, 아키텍처 그리고 클린 코드에 주의를 기울어야 ....
아키텍처의 중요성
엉망진창의 징후
What is API First?
10. APIFirstDesign 설계의선순환
• 기능이 동작만 하면 아키텍처 개선 없이 다음 기능 구현
• 기능 변경: 복붙 + 일부 수정 => ‘향후 문제시 해결 카드’
• 공유 부족으로 소수의 개발 인력에 대한 의존도 높아짐
• 좋은 설계, 아키텍처 그리고 클린 코드에 주의를 기울어야 ....
아키텍처의 중요성
엉망진창의 징후
What is API First?
12. “the only way to go fast, is to go well”
생산성 저하와 비용증가를 뒤집을 수 있는 유일한 방법은
SW 아키텍처의 품질에 대해서 신중을 기하는 것.
APIFirstDesign 설계의선순환
SW 개발의 단순한 진리
What is API First?
22. What is Design?
Design is to design the design of a design
1 2 3 4
noun verb noun noun
- John Heskett
A general concept
of policy
An Activity A plan of
Intention
A finished outcome
(System, service or product)
APIFirstDesign 설계의선순환
[ ] ==
디자인 은 어떠한 개념을 브레인 스토밍,사고 또는 수정하는 과정 을
통하여 도출된 주제나 요구, 문제에 대한 답변을 해 나가며 완성됩니다.
23. What is Design?
Design is to design the design of a design
1 2 3 4
noun verb noun noun
- John Heskett
A general concept
of policy
An Activity A plan of
Intention
A finished outcome
(System, service or product)
APIFirstDesign 설계의선순환
[ ] ==“ 협업 프로세스 “
디자인 은 어떠한 개념을 브레인 스토밍,사고 또는 수정하는 과정 을
통하여 도출된 주제나 요구, 문제에 대한 답변을 해 나가며 완성됩니다.
30. IMPL 1
Backend 개발팀
APIFirstDesign 설계의선순환What is API First Design?
API 2
SDK SDK SDK
Android IOS Client
3
Frontend 개발팀
문제점은 무엇일까?
1.Backend 개발자가 설계를 마칠 동안 Frontend 개발자는 기다려야 합니다.
2.설계 API 문서가 나왔지만, 명확하지 않을 수 있습니다.
3.기능, 버그, 개선 또는 변경이 필요한 경우 앞선 1,2,3 개발 과정이 반복되어 시간 낭비됩니다.
4.Time-in-market 시간이 길어집니다.
31. 그렇다면,
API FIRST Design는 어떤 방식일까요?
APIFirstDesign 설계의선순환What is API First Design?
34. Backend 개발팀
APIFirstDesign 설계의선순환What is API First Design?
API
MOCK
Frontend 개발팀
API
MOCK
API
MOCK
IMPL IMPL IMPL 2
1
SDK SDK SDK
Android IOS Client
3
35. Backend 개발팀
APIFirstDesign 설계의선순환What is API First Design?
API
MOCK
Frontend 개발팀
API
MOCK
API
MOCK
IMPL IMPL IMPL 2
1
SDK SDK SDK
Android IOS Client
3
“병렬식”
36. Backend 개발팀
APIFirstDesign 설계의선순환What is API First Design?
API
MOCK
Frontend 개발팀
API
MOCK
API
MOCK
IMPL IMPL IMPL 2
1
SDK SDK SDK
Android IOS Client
3
장점은 무엇일까?
1. Backend 개발자가 설계를 마칠 동안 Frontend 개발자는 기다려야 한다.
2. 설계 API 문서가 나왔지만, 명확하지 않을 수 있다.
3. 기능, 버그, 개선 또는 변경이 필요한 경우 앞선 1,2,3 개발 과정이 반복되어 시간 낭비된다.
4. Time-in-market 시간이 길어진다.
… 기다릴 필요가 없다.
… 명확하게 전달할 수 있다.
… 시간이 절약될 수 있다.
… 단축시킬 수 있다.
37. Backend 개발팀
APIFirstDesign 설계의선순환What is API First Design?
API
MOCK
Frontend 개발팀
API
MOCK
API
MOCK
IMPL IMPL IMPL 2
1
SDK SDK SDK
Android IOS Client
3