An overview of Software Development Process at STX Next presenting basic SCRUM ceremonies and workflows. To learn more about STX Next visit https://stxnext.com
Apache Kafka as Event Streaming Platform for Microservice ArchitecturesKai Wähner
This session introduces Apache Kafka, an event-driven open source streaming platform. Apache Kafka goes far beyond scalable, high volume messaging. In addition, you can leverage Kafka Connect for integration and the Kafka Streams API for building lightweight stream processing microservices in autonomous teams. The Confluent Platform adds further components such as a Schema Registry, REST Proxy, KSQL, Clients for different programming languages and Connectors for different technologies.
The session discusses how tech giants like LinkedIn, Ebay or Airbnb leverage Apache Kafka as event streaming platform to solve various different business problems and how to create a scalable, flexible microservice architecture. A live demo shows how you can easily process and analyze streams of events using Apache Kafka and KSQL.
What Is Apache Spark? | Introduction To Apache Spark | Apache Spark Tutorial ...Simplilearn
This presentation about Apache Spark covers all the basics that a beginner needs to know to get started with Spark. It covers the history of Apache Spark, what is Spark, the difference between Hadoop and Spark. You will learn the different components in Spark, and how Spark works with the help of architecture. You will understand the different cluster managers on which Spark can run. Finally, you will see the various applications of Spark and a use case on Conviva. Now, let's get started with what is Apache Spark.
Below topics are explained in this Spark presentation:
1. History of Spark
2. What is Spark
3. Hadoop vs Spark
4. Components of Apache Spark
5. Spark architecture
6. Applications of Spark
7. Spark usecase
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
Simplilearn’s Apache Spark and Scala certification training are designed to:
1. Advance your expertise in the Big Data Hadoop Ecosystem
2. Help you master essential Apache and Spark skills, such as Spark Streaming, Spark SQL, machine learning programming, GraphX programming and Shell Scripting Spark
3. Help you land a Hadoop developer job requiring Apache Spark expertise by giving you a real-life industry project coupled with 30 demos
What skills will you learn?
By completing this Apache Spark and Scala course you will be able to:
1. Understand the limitations of MapReduce and the role of Spark in overcoming these limitations
2. Understand the fundamentals of the Scala programming language and its features
3. Explain and master the process of installing Spark as a standalone cluster
4. Develop expertise in using Resilient Distributed Datasets (RDD) for creating applications in Spark
5. Master Structured Query Language (SQL) using SparkSQL
6. Gain a thorough understanding of Spark streaming features
7. Master and describe the features of Spark ML programming and GraphX programming
Who should take this Scala course?
1. Professionals aspiring for a career in the field of real-time big data analytics
2. Analytics professionals
3. Research professionals
4. IT developers and testers
5. Data scientists
6. BI and reporting professionals
7. Students who wish to gain a thorough understanding of Apache Spark
Learn more at https://www.simplilearn.com/big-data-and-analytics/apache-spark-scala-certification-training
Connected Vehicles and V2X with Apache KafkaKai Wähner
This session discusses uses cases leveraging Apache Kafka open source ecosystem as streaming platform to process IoT data.
See use cases, architectural alternatives and a live demo of how devices connect to Kafka via MQTT. Learn how to analyze the IoT data either natively on Kafka with Kafka Streams/KSQL, or on an external big data cluster like Spark, Flink or Elastic leveraging Kafka Connect, and how to leverage TensorFlow for Machine Learning.
The focus is on connected cars / connected vehicles and V2X use cases respectively mobility services.
A live demo shows how to build a cloud-native IoT infrastructure on Kubernetes to connect and process streaming data in real-time from 100.000 cars to do predictive maintenance at scale in real-time.
Code for the live demo on Github:
https://github.com/kaiwaehner/hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference
Implementing Saas as Cloud controllers using Mobile Agent based technology wi...Sunil Rajput
Setup your own cloud for Software as a Service (SaaS) over the existing LAN in your laboratory. In this assignment you have to write your own code for cloud controllers using open source technologies without HDFS. Implementing the basic operations may be like uploading and downloading files on/from cloud in encrypted form.
Apache Kafka as Event Streaming Platform for Microservice ArchitecturesKai Wähner
This session introduces Apache Kafka, an event-driven open source streaming platform. Apache Kafka goes far beyond scalable, high volume messaging. In addition, you can leverage Kafka Connect for integration and the Kafka Streams API for building lightweight stream processing microservices in autonomous teams. The Confluent Platform adds further components such as a Schema Registry, REST Proxy, KSQL, Clients for different programming languages and Connectors for different technologies.
The session discusses how tech giants like LinkedIn, Ebay or Airbnb leverage Apache Kafka as event streaming platform to solve various different business problems and how to create a scalable, flexible microservice architecture. A live demo shows how you can easily process and analyze streams of events using Apache Kafka and KSQL.
What Is Apache Spark? | Introduction To Apache Spark | Apache Spark Tutorial ...Simplilearn
This presentation about Apache Spark covers all the basics that a beginner needs to know to get started with Spark. It covers the history of Apache Spark, what is Spark, the difference between Hadoop and Spark. You will learn the different components in Spark, and how Spark works with the help of architecture. You will understand the different cluster managers on which Spark can run. Finally, you will see the various applications of Spark and a use case on Conviva. Now, let's get started with what is Apache Spark.
Below topics are explained in this Spark presentation:
1. History of Spark
2. What is Spark
3. Hadoop vs Spark
4. Components of Apache Spark
5. Spark architecture
6. Applications of Spark
7. Spark usecase
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
Simplilearn’s Apache Spark and Scala certification training are designed to:
1. Advance your expertise in the Big Data Hadoop Ecosystem
2. Help you master essential Apache and Spark skills, such as Spark Streaming, Spark SQL, machine learning programming, GraphX programming and Shell Scripting Spark
3. Help you land a Hadoop developer job requiring Apache Spark expertise by giving you a real-life industry project coupled with 30 demos
What skills will you learn?
By completing this Apache Spark and Scala course you will be able to:
1. Understand the limitations of MapReduce and the role of Spark in overcoming these limitations
2. Understand the fundamentals of the Scala programming language and its features
3. Explain and master the process of installing Spark as a standalone cluster
4. Develop expertise in using Resilient Distributed Datasets (RDD) for creating applications in Spark
5. Master Structured Query Language (SQL) using SparkSQL
6. Gain a thorough understanding of Spark streaming features
7. Master and describe the features of Spark ML programming and GraphX programming
Who should take this Scala course?
1. Professionals aspiring for a career in the field of real-time big data analytics
2. Analytics professionals
3. Research professionals
4. IT developers and testers
5. Data scientists
6. BI and reporting professionals
7. Students who wish to gain a thorough understanding of Apache Spark
Learn more at https://www.simplilearn.com/big-data-and-analytics/apache-spark-scala-certification-training
Connected Vehicles and V2X with Apache KafkaKai Wähner
This session discusses uses cases leveraging Apache Kafka open source ecosystem as streaming platform to process IoT data.
See use cases, architectural alternatives and a live demo of how devices connect to Kafka via MQTT. Learn how to analyze the IoT data either natively on Kafka with Kafka Streams/KSQL, or on an external big data cluster like Spark, Flink or Elastic leveraging Kafka Connect, and how to leverage TensorFlow for Machine Learning.
The focus is on connected cars / connected vehicles and V2X use cases respectively mobility services.
A live demo shows how to build a cloud-native IoT infrastructure on Kubernetes to connect and process streaming data in real-time from 100.000 cars to do predictive maintenance at scale in real-time.
Code for the live demo on Github:
https://github.com/kaiwaehner/hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference
Implementing Saas as Cloud controllers using Mobile Agent based technology wi...Sunil Rajput
Setup your own cloud for Software as a Service (SaaS) over the existing LAN in your laboratory. In this assignment you have to write your own code for cloud controllers using open source technologies without HDFS. Implementing the basic operations may be like uploading and downloading files on/from cloud in encrypted form.
Agile Development Lifecycle and Best Practices with DenodoDenodo
Watch full webinar here: https://bit.ly/43J5ft6
Can you follow agile methodologies in Denodo development? What are the activities of the different teams in a sprint? What are the best ways to manage your development, testing, and promotion?
Join us for this session with Princess Jamelyn Ramos, Technical Consultant at Denodo, to get insights on how to plan and manage your sprint activities in Denodo development with recommended best practices.
Watch On-Demand and Learn:
- Sprint timeline and activities
- Suggested automation for continuous integration
- Promotion process and continuous delivery
Basics of Dev box testing approach in STLC process.
It will give you a clear idea about the step-by-step activity in testing with the dev box approach. how as a tester we can start dev box testing and which are all points that need to be taken care of while performing this activity on the developer system.
It will also tell what benefit we will be getting with this testing activity.
This STAMP public presentation by Benoit Baudry (INRIA) is part of the Open Cloud Forum by OW2 in parallel with Cloud computing world expo, IoT world and Solutions Datacenter Management 2017.
Presentation (animated) on Agilve vs Iterative vs Waterfall models in SDLC.
Detailed comparison across Process, Planning, Execution and Completion.
#Cricket Analogy#
Waterfall (Test Match) vs Iterative (ODI) Format vs Agile (T20)
#Waterfall: Test Match Format - Strategic-Phase by Phase like Innings by Innings.
Game for Specialists, Slow and Steady.
#One Day (ODI) Format : Strategic approach – First10/Middle/Slog overs.
Mix of Specialists and
All-Rounders, Result oriented.
#T20 Format: Lively,Dynamic, Full of Action. Game for All-Rounders. Changes with every over.
Highly Result oriented
Real case studies of QA management in big teams (60-100 people). How to setup robust QA processes and approaches in them. Main impediments and problems, how to solve them. SAFe.
Agile Development Lifecycle and Best Practices with DenodoDenodo
Watch full webinar here: https://bit.ly/43J5ft6
Can you follow agile methodologies in Denodo development? What are the activities of the different teams in a sprint? What are the best ways to manage your development, testing, and promotion?
Join us for this session with Princess Jamelyn Ramos, Technical Consultant at Denodo, to get insights on how to plan and manage your sprint activities in Denodo development with recommended best practices.
Watch On-Demand and Learn:
- Sprint timeline and activities
- Suggested automation for continuous integration
- Promotion process and continuous delivery
Basics of Dev box testing approach in STLC process.
It will give you a clear idea about the step-by-step activity in testing with the dev box approach. how as a tester we can start dev box testing and which are all points that need to be taken care of while performing this activity on the developer system.
It will also tell what benefit we will be getting with this testing activity.
This STAMP public presentation by Benoit Baudry (INRIA) is part of the Open Cloud Forum by OW2 in parallel with Cloud computing world expo, IoT world and Solutions Datacenter Management 2017.
Presentation (animated) on Agilve vs Iterative vs Waterfall models in SDLC.
Detailed comparison across Process, Planning, Execution and Completion.
#Cricket Analogy#
Waterfall (Test Match) vs Iterative (ODI) Format vs Agile (T20)
#Waterfall: Test Match Format - Strategic-Phase by Phase like Innings by Innings.
Game for Specialists, Slow and Steady.
#One Day (ODI) Format : Strategic approach – First10/Middle/Slog overs.
Mix of Specialists and
All-Rounders, Result oriented.
#T20 Format: Lively,Dynamic, Full of Action. Game for All-Rounders. Changes with every over.
Highly Result oriented
Real case studies of QA management in big teams (60-100 people). How to setup robust QA processes and approaches in them. Main impediments and problems, how to solve them. SAFe.
Nearshoring and outsourcing will become more and more important, because the shortage of good developers is increasing, especially in Western Europe and US.
https://stxnext.com
Behave automatically: (Almost) Effortless feature testingSTX Next
Presentation from the 2nd STX Next Summit 2016 by Tomasz Muszczek & Piotr Błaszczyk on how to set up the optimal software testing environment.
https://stxnext.com
Presentation from the 2nd STX Next Summit 2016 by Radosław Jankiewicz presenting an overview of ReactJS - a great javascript library for building user interfaces.
https://stxnext.com
Software development process, in-house or outsourced, might be a challenge. It is important to choose a vendor or hire a team of professionals who understand that quality of source code directly impacts the overall cost of your project. You most probably want to find a vendor who knows how to reveal all the risk hidden behind low quality code. Tricky part in revealing risk and possible quality issues is that you have to know how to do this at the time of development, not when it’s already too late.
Author:
Łukasz Koczwara - Software Development Manager @ STX Next
Kotlin Advanced - language reference for Android developers STX Next
StxNext Lightning Talks - Mar 11, 2016
This presentation contains the second talk on Kotlin language we had at STXNext. We try go deeper into language specifics and look at the positive impact new syntax can have on boilerplate removal and readability improvement.
Kotlin really shines in Android development when one looks at “Enum translation”, “Extension functions”, “SAM conversions”, “Infix notation”, “Closures” and “Fluent interfaces” applied to lists. The talk, however, compares language-specifics of Java & Kotlin in terms of “Type Variance”, “Generics” and “IDE tools” as well.
We present real-world example based on Stx-Insider project written in Kotlin which incorporates Dagger 2, Kotterknife, Retrofit2 and is composed of 5+ Activities.
Discover, Define, Deliver - a workflow to create successful digital products. STX Next
Presentation from STX Next Summit 2016 by Dominik Oślizło describing the Discover, Define, Deliver process, a rock-solid approach that ensures smooth idea-to-product transitions and radically accelerates time-to-market.
Kotlin Developer Starter in Android - STX Next Lightning Talks - Feb 12, 2016STX Next
Kotlin - one of the popular programming languages built on top of Java that runs on JVM. Thanks to JetBrains support and excellent IDE integration, it’s an ideal choice for Android development. 100% Java compatibility, interoperability and no runtime overhead is just the beginning of a long list of strengths. Kotlin is supposed to be a subset of SCALA, on one hand covering major advantages for developers and keeping short compile times on the other.
This presentation is a Developer Starter - a set of hand-picked information allowing a person with no knowledge of Kotlin to start writing basic Android activities and set up a kotlin-based Android project. It starts with language background, reasons for its creation and advantages. Then presents basic use cases, syntax, structures and patterns. Later on Kotlin is presented in Android context. Simple project structure, imports and Kotlin usage with Android SDK is explained. In the end cost of Kotlin compilation is presented and the language is compared to SCALA and SWIFT.
At STX, we know that we are as strong as the people working for us, so we try to maintain a work environment based around honesty, trust, and hard work instead of management and bureaucracy. We are goal-oriented, agile, and fast-paced. We want you to be communicative, self-motivated, problem-solving, and cooperative. Contact us if you’re interested in being our next hero!
Group Process by Example - a PO’s and SM’s perspectiveSTX Next
Forming – Storming – Norming – Performing. See our SuperHeroes' presentation and learn how to use Tuckman's stages of group development model to create high-performing development teams.
Authors:
Marta Kossowska - Product Owner @ STX Next
Łukasz Aziukiewicz - Product Owner @ STX Next
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
7. Estimations
ceremonies 1
1
1
2
1
3
Estimation is hard.
Agile estimation is a team sport.
effort
involved for
each item
team estimates
team makes
iteration
forecast
story points
for User
Stories
hours for
tech. tasks
team estimates
team estimates
9. TODO
DEVELOPMENT
CODE REVIEW
TESTING
PO SIGN OFF
DONE
REOPEN
IMPLEMENTATION APPROVED BY
PRODUCT OWNER
MANUAL TESTING
PASSED
CODE REVIEW PASSED
READY FOR TESTING
READY FOR
REVIEW
START
DEVELOPMENT
workflow
process
12. step 2
developer
create new branch
for feature/bug
step 1
developer
get newest code
from master
dev & qa
dev process
13. step 3
developer
implement new
feature / fix bug
step 4
developer
add unit tests
step 2
developer
create new branch
for feature/bug
step 1
developer
get newest code
from master
dev & qa
dev process
14. step 5
developer
rebase with master
and squash commits
step 6
developer
push to Github
and create Pull Request
step 7
developer
code review by
another developer
step 8
tester
manual testing of feature
branch on Testing instance
step 3
developer
implement new
feature / fix bug
step 4
developer
add unit tests
step 2
developer
create new branch
for feature/bug
step 1
developer
get newest code
from master
dev & qa
dev process
15. step 9
developer
merge to master - if code review is done,
and testing passed successfully
step 10
tester
final testing of feature on UAT
instance on master branch
step 5
developer
rebase with master
and squash commits
step 6
developer
push to Github
and create Pull Request
step 7
developer
code review by
another developer
step 8
tester
manual testing of feature
branch on Testing instance
step 3
developer
implement new
feature / fix bug
step 4
developer
add unit tests
step 2
developer
create new branch
for feature/bug
step 1
developer
get newest code
from master
dev & qa
dev process
17. Definition of DONE
agile process
A task is done only when the following points are met:
● the implementation is completed according to description/acceptance criteria,
● if applicable implementation is covered by unit tests,
● all unit tests pass on Jenkins build,
● the code is reviewed and accepted by other developer, giving +1 when all comments are actioned,
● testing scenarios are prepared and documented,
● all tasks are tested and pass all testing scenarios and acceptance criteria,
● implementation works on the newest versions of browsers,
● code is merged into the main development branch,
● story is done when the PO has signed it off.
18. Definition of READY
agile process
Minimum Required Information
● Stories with description in User Story format and acceptance criteria.
● Bugs description according to bug reporting template.
● Chores and Spikes with defined expectations.
● Any changes to non-functional requirements highlighted.
● Sprint backlog is prioritized.
● Designs are available when required.
Additionally for a Sprint
● Project goal/roadmap updated and dates/meetings clarified.
● Sprint theme with SMART goals.
● Teams should understand business value/justification.