The document provides an overview of microservices from Steve Upton. It discusses two histories of microservices - the standard creation story involving moving from a monolithic architecture to independent microservices, and an alternative story noting how microservices evolved from trends in agile development, cloud computing, and reducing hardware costs. The document also addresses criticisms of microservices regarding the CAP theorem and tradeoffs around consistency, availability and partition tolerance. It describes what microservices architectures typically look like with practices like continuous delivery and containerization. Finally, it considers the future of microservices.
The document discusses RxJava and functional reactive programming (FRP). It provides examples of how to use RxJava for asynchronous and event-based programming using observable sequences. Key points include:
- RxJava allows composing asynchronous and event-based programs using observable sequences for the Java VM.
- Examples demonstrate how to use RxJava for request composition, filtering results, limiting results, and combining multiple asynchronous requests.
- Operators like flatMap(), filter(), limit(), and zip() are used to manipulate and transform observable sequences.
- Topics like threads and schedulers, error handling, and fun examples are also briefly covered. The document emphasizes learning RxJava through examples and code.
7 September 2017 - At ION Conference Durban, South Africa, Andrew Alston on how Liquid Telecom deployed IPv6 and how other organizations can do the same.
The inherent complexity of stream processingnathanmarz
The document discusses approaches for computing unique visitors to web pages over time ranges while dealing with changing user ID mappings.
Initially, three approaches are presented using a key-value store: storing user IDs in sets indexed by URL and hour bucket (Approach 1), using HyperLogLogs for more efficient storage (Approach 2), and storing at multiple granularities to reduce lookups (Approach 3).
The problem is made harder by the presence of "equiv" records that map one user ID to another. Later approaches try to incrementally normalize user IDs, sample user IDs, or maintain separate indexes.
Ultimately, a hybrid approach is proposed using batch computation over the entire dataset to build robust indexes,
This document summarizes the evolution and challenges faced by a monolithic retail software system over 12 years, from 2011-2013. Key issues included slow performance due to chatty APIs over high-latency networks, N+1 query problems, concurrency issues due to the database isolation level, and eventually a denial of service caused by inefficient ORM operations under a large concurrent load. The lessons learned were to avoid chatty distributed components, tune indexes, consider concurrency, and watch ORM performance closely.
Storm is an open source distributed real-time computation system. It allows processing large amounts of streaming data reliably and fault-tolerantly. Storm concepts include tuples (data records), streams, spouts (data sources), bolts (processing units), topologies (processing graphs), and stream groupings (data routing). Storm provides reliable processing through its master-slave architecture with a Nimbus master node and supervisor worker nodes. It integrates with other technologies like Hadoop and is used in real cases like collecting sensor data, processing user feeds, and generating recommendations.
COSMIC2 is a research and drug discovery tool for cryoelectron microscopy high resolution protein structure imaging that extends availability of high performance computing beyond the "power user". COSMIC2 fuels innovation in drug target discovery by making it easier for a wider range of researchers to use sophisticated computing tools and resources. Courtesy Mona Wong-Barnum of San Diego Supercomputing Center (SDSC)
This document summarizes a keynote speech given by John Adams, an early Twitter engineer, about scaling Twitter operations from 2008-2009. Some key points:
1) Twitter saw exponential growth rates from 2008-2009, processing over 55 million tweets per day and 600 million searches per day.
2) Operations focused on improving performance, reducing errors and outages, and using metrics to identify weaknesses and bottlenecks like network latency and database delays.
3) Technologies like Unicorn, memcached, Flock, Cassandra, and daemons were implemented to improve scalability beyond a traditional RDBMS and handle Twitter's data volumes and real-time needs.
4) Caching,
Azure + DataStax Enterprise (DSE) Powers Office365 Per User StoreDataStax Academy
We will present our Office 365 use case scenarios, why we chose Cassandra + Spark, and walk through the architecture we chose for running DSE on Azure.
The presentation will feature demos on how you too can build similar applications.
The document discusses RxJava and functional reactive programming (FRP). It provides examples of how to use RxJava for asynchronous and event-based programming using observable sequences. Key points include:
- RxJava allows composing asynchronous and event-based programs using observable sequences for the Java VM.
- Examples demonstrate how to use RxJava for request composition, filtering results, limiting results, and combining multiple asynchronous requests.
- Operators like flatMap(), filter(), limit(), and zip() are used to manipulate and transform observable sequences.
- Topics like threads and schedulers, error handling, and fun examples are also briefly covered. The document emphasizes learning RxJava through examples and code.
7 September 2017 - At ION Conference Durban, South Africa, Andrew Alston on how Liquid Telecom deployed IPv6 and how other organizations can do the same.
The inherent complexity of stream processingnathanmarz
The document discusses approaches for computing unique visitors to web pages over time ranges while dealing with changing user ID mappings.
Initially, three approaches are presented using a key-value store: storing user IDs in sets indexed by URL and hour bucket (Approach 1), using HyperLogLogs for more efficient storage (Approach 2), and storing at multiple granularities to reduce lookups (Approach 3).
The problem is made harder by the presence of "equiv" records that map one user ID to another. Later approaches try to incrementally normalize user IDs, sample user IDs, or maintain separate indexes.
Ultimately, a hybrid approach is proposed using batch computation over the entire dataset to build robust indexes,
This document summarizes the evolution and challenges faced by a monolithic retail software system over 12 years, from 2011-2013. Key issues included slow performance due to chatty APIs over high-latency networks, N+1 query problems, concurrency issues due to the database isolation level, and eventually a denial of service caused by inefficient ORM operations under a large concurrent load. The lessons learned were to avoid chatty distributed components, tune indexes, consider concurrency, and watch ORM performance closely.
Storm is an open source distributed real-time computation system. It allows processing large amounts of streaming data reliably and fault-tolerantly. Storm concepts include tuples (data records), streams, spouts (data sources), bolts (processing units), topologies (processing graphs), and stream groupings (data routing). Storm provides reliable processing through its master-slave architecture with a Nimbus master node and supervisor worker nodes. It integrates with other technologies like Hadoop and is used in real cases like collecting sensor data, processing user feeds, and generating recommendations.
COSMIC2 is a research and drug discovery tool for cryoelectron microscopy high resolution protein structure imaging that extends availability of high performance computing beyond the "power user". COSMIC2 fuels innovation in drug target discovery by making it easier for a wider range of researchers to use sophisticated computing tools and resources. Courtesy Mona Wong-Barnum of San Diego Supercomputing Center (SDSC)
This document summarizes a keynote speech given by John Adams, an early Twitter engineer, about scaling Twitter operations from 2008-2009. Some key points:
1) Twitter saw exponential growth rates from 2008-2009, processing over 55 million tweets per day and 600 million searches per day.
2) Operations focused on improving performance, reducing errors and outages, and using metrics to identify weaknesses and bottlenecks like network latency and database delays.
3) Technologies like Unicorn, memcached, Flock, Cassandra, and daemons were implemented to improve scalability beyond a traditional RDBMS and handle Twitter's data volumes and real-time needs.
4) Caching,
Azure + DataStax Enterprise (DSE) Powers Office365 Per User StoreDataStax Academy
We will present our Office 365 use case scenarios, why we chose Cassandra + Spark, and walk through the architecture we chose for running DSE on Azure.
The presentation will feature demos on how you too can build similar applications.
Got hundreds of millions of documents to search? DataImportHandler blowing up while indexing? Random thread errors thrown by Solr Cellduring document extraction? Query performance collapsing? Then you've searching at Big Data scale. This talk will focus on the underlying principles of Big Data, and how to apply them to Solr. This talk isn't a deep dive into SolrCloud, though we'll talk about it. It also isn't meant to be a talk on traditional scaling of Solr.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2lGNybu.
Stefan Krawczyk discusses how his team at StitchFix use the cloud to enable over 80 data scientists to be productive. He also talks about prototyping ideas, algorithms and analyses, how they set up & keep schemas in sync between Hive, Presto, Redshift & Spark and make access easy for their data scientists, etc. Filmed at qconsf.com..
Stefan Krawczyk is Algo Dev Platform Lead at StitchFix, where he’s leading development of the algorithm development platform. He spent formative years at Stanford, LinkedIn, Nextdoor & Idibon, working on everything from growth engineering, product engineering, data engineering, to recommendation systems, NLP, data science and business intelligence.
Azure + DataStax Enterprise Powers Office 365 Per User StoreDataStax Academy
We will present our O365 use case scenarios, why we chose Cassandra + Spark, and walk through the architecture we chose for running DataStax Enterprise on azure.
Go Reactive: Event-Driven, Scalable, Resilient & Responsive SystemsJonas Bonér
The document discusses the need for new tools and approaches for building event-driven, scalable, resilient, and responsive systems. It notes that the demands on applications have changed with the rise of mobile devices, multi-core architectures, and cloud computing. Systems now need to be interactive, responsive, and collaborative. The document advocates building systems that react to events, load, failure, and users using asynchronous messaging and avoiding shared mutable state. It discusses various reactive programming approaches like actors, agents, futures, and reactive extensions that enable building such systems.
Billions of hits: Scaling Twitter (Web 2.0 Expo, SF)John Adams
This document summarizes John Adams' presentation on scaling Twitter operations. Some key points include: Twitter saw over 750% growth in 2008 and over 1300% growth in 2009. Operations teams work to improve performance, reduce errors and downtime through metrics analysis and capacity planning. Technologies discussed include Unicorn, memcached, MySQL, Cassandra, Flock and daemons. Challenges discussed are caching, database replication delays, and scaling social graph operations.
This webinar covered Neo4j 1.9.1, 2.0 features and hands-on demonstrations. Key highlights included:
- Neo4j 1.9.1 improvements to high availability, operations and Cypher performance.
- Neo4j 2.0 introduces node labels for improved querying and indexing, transactional Cypher via REST, and a focus on using Cypher everywhere.
- Hands-on sessions demonstrated migrating data to use labels, indexing, transactional HTTP endpoint, and other new 2.0 features.
This document provides an overview of microservices from Steve Upton. It discusses the two main histories of microservices - the standard creation story involving moving from a monolithic application to many independent microservices, and an "other story" noting how microservices evolved alongside changes in development practices, hardware, and platforms. Some key advantages of microservices are listed, such as resilience, loose coupling, and independent scalability. The CAP theorem is also introduced, noting the tradeoff between consistency, availability, and partition tolerance that must be considered with distributed systems.
The document discusses the history and evolution of microservices architecture. It describes how software architectures progressed from monolithic structures with tight coupling to microservices with loose coupling and independent scalability. Microservices allow for improved resilience, scalability, and the ability for teams to work independently. The document also discusses the influence of cloud computing, containerization, and other factors on enabling and popularizing the microservices approach.
It is not uncommon for Notes client developers to feel intimidated by the wide range of technologies available when modernizing an existing portfolio of applications with XPages. In this 2-hour workshop we will provide a series of 20-minute introductions to many of these new and emerging technologies. Learn about Java, Beans, REST Services, Bootstrap, Mobile Controls, data visualization and a whole lot more.
Kafka can be used to build real-time streaming applications and process large amounts of data. It provides a simple publish-subscribe messaging model with streams of records. Kafka Connect allows connecting Kafka with other data systems and formats through reusable connectors. Kafka Streams provides a streaming library to allow building streaming applications and processing data in Kafka streams through operators like map, filter and windowing.
Discussion of how microservices are being applied across both web scale and enterprise/government use cases to help speed up development.
Video available at http://www.ustream.tv/recorded/86151804
This document discusses database schema migrations and their importance. It summarizes that schema migrations improve the software development lifecycle by keeping code and database schemas consistent. The document outlines a presentation on the topic, including a demonstration of schema migrations, an overview of current tools like Flyway and Liquibase, and possibilities for integrating schema migrations into Java EE in the future. The presentation argues that adding schema migrations to Java EE could increase quality and productivity by solving a problem not addressed in current Java standards.
TIBCO Advanced Analytics Meetup (TAAM) - June 2015Bipin Singh
This document summarizes a TIBCO Advanced Analytics meetup. It includes an agenda for presentations on TIBCO Analytics and data science, predictive analytics using TERR expressions, real-time analytics, APIs, and a question/answer wrap-up session. It also provides overviews of the Spotfire platform for data visualization and analytics, Spotfire capabilities for accessing and preparing data from various sources, and supported data sources.
The Cytoscape Cyberinfrastructure extends Cytoscape and its community into web-connected services.The CI is a Service Oriented Architecture that supports network biology oriented computations that can be orchestrated into repeatable workflows.
Another day, another buzzword in the world of software development! ‘Microservices’ is a new approach to structuring server-side software. But is it really new? In this talk I’ll walk you through the birth and ‘raison d’etre’ of microservices and tell about pro’s and con’s of the approach.
Having laid the foundation, we will take a look at best-practices and patterns for building micro service architectures and combine this with a tour of current technologies and development tools.
Finally, I will take a quick look at the future and discuss some of the remaining challenges. All parts of the presentation will be accompanied by structural examples based on a real ecommerse system.
Powering the Cisco Intercloud Service using OpenStack TroveTesora
Cisco discovers that DBaaS strikes the perfect balance between ownership of the database layer and abstraction of underlying infrastructure and processes.
Accelerate application delivery with docker containers and windows server 2016Taylor Brown
This webinar discussed how containers can help solve problems in IT related to availability, agility, and scaling applications. Containers deliver speed and flexibility compared to virtual machines by starting nearly instantly, using fewer resources, and allowing applications to run anywhere. The webinar demonstrated how to containerize legacy applications, transform them to microservices, and accelerate new applications using a single container platform. It highlighted how containers address issues like breakages during deployment and "works on my machine" problems. The presentation concluded by providing resources for learning more about using containers on Windows Server 2016 with Docker.
Security & Resiliency of Cloud Native Apps with Weave GitOps & Tetrate Servic...Weaveworks
Cloud-native applications are increasingly spanning across hybrid and multi-cloud environments such as on-premise data centers, in the cloud (Amazon EKS, Azure AKS, Google Cloud GKE) and at the edge. Customers need to ensure security and resiliency for their cloud-native applications while managing releases through reliable, consistent deployment and runtime policies.
In this session, we’ve partnered with Tetrate to showcase how to effectively manage advanced deployments using Weave GitOps. Managing application configurations by different teams across multiple Kubernetes clusters is made possible with Weave GitOps and Tetrate Service Bridge. Using familiar Git workflows, Weave Policy-as-Code enables application engineers to quickly deliver new features safely.
Join us as we demonstrate the scenarios where:
- All changes to application configuration are managed through Git workflows.
- GitOps provides an extra layer of security by removing the need for direct access to Kubernetes clusters.
- Policy-as-Code guarantees security, resilience and coding standards compliance.
- Tetrate Service Bridge provides dynamic configuration of application workloads and failover across multiple Kubernetes clusters.
RightScale User Conference / Fall / 2010 - Morning SessionsRightScale
The document discusses RightScale's community programs for cloud management users, including user conferences, online forums, community publishing, local user groups, and ambassador programs. It highlights RightScale's user groups where users can network, share best practices, and get support from RightScale. It also describes the ambassador program which empowers enthusiasts to share information about RightScale and clouds.
Got hundreds of millions of documents to search? DataImportHandler blowing up while indexing? Random thread errors thrown by Solr Cellduring document extraction? Query performance collapsing? Then you've searching at Big Data scale. This talk will focus on the underlying principles of Big Data, and how to apply them to Solr. This talk isn't a deep dive into SolrCloud, though we'll talk about it. It also isn't meant to be a talk on traditional scaling of Solr.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2lGNybu.
Stefan Krawczyk discusses how his team at StitchFix use the cloud to enable over 80 data scientists to be productive. He also talks about prototyping ideas, algorithms and analyses, how they set up & keep schemas in sync between Hive, Presto, Redshift & Spark and make access easy for their data scientists, etc. Filmed at qconsf.com..
Stefan Krawczyk is Algo Dev Platform Lead at StitchFix, where he’s leading development of the algorithm development platform. He spent formative years at Stanford, LinkedIn, Nextdoor & Idibon, working on everything from growth engineering, product engineering, data engineering, to recommendation systems, NLP, data science and business intelligence.
Azure + DataStax Enterprise Powers Office 365 Per User StoreDataStax Academy
We will present our O365 use case scenarios, why we chose Cassandra + Spark, and walk through the architecture we chose for running DataStax Enterprise on azure.
Go Reactive: Event-Driven, Scalable, Resilient & Responsive SystemsJonas Bonér
The document discusses the need for new tools and approaches for building event-driven, scalable, resilient, and responsive systems. It notes that the demands on applications have changed with the rise of mobile devices, multi-core architectures, and cloud computing. Systems now need to be interactive, responsive, and collaborative. The document advocates building systems that react to events, load, failure, and users using asynchronous messaging and avoiding shared mutable state. It discusses various reactive programming approaches like actors, agents, futures, and reactive extensions that enable building such systems.
Billions of hits: Scaling Twitter (Web 2.0 Expo, SF)John Adams
This document summarizes John Adams' presentation on scaling Twitter operations. Some key points include: Twitter saw over 750% growth in 2008 and over 1300% growth in 2009. Operations teams work to improve performance, reduce errors and downtime through metrics analysis and capacity planning. Technologies discussed include Unicorn, memcached, MySQL, Cassandra, Flock and daemons. Challenges discussed are caching, database replication delays, and scaling social graph operations.
This webinar covered Neo4j 1.9.1, 2.0 features and hands-on demonstrations. Key highlights included:
- Neo4j 1.9.1 improvements to high availability, operations and Cypher performance.
- Neo4j 2.0 introduces node labels for improved querying and indexing, transactional Cypher via REST, and a focus on using Cypher everywhere.
- Hands-on sessions demonstrated migrating data to use labels, indexing, transactional HTTP endpoint, and other new 2.0 features.
This document provides an overview of microservices from Steve Upton. It discusses the two main histories of microservices - the standard creation story involving moving from a monolithic application to many independent microservices, and an "other story" noting how microservices evolved alongside changes in development practices, hardware, and platforms. Some key advantages of microservices are listed, such as resilience, loose coupling, and independent scalability. The CAP theorem is also introduced, noting the tradeoff between consistency, availability, and partition tolerance that must be considered with distributed systems.
The document discusses the history and evolution of microservices architecture. It describes how software architectures progressed from monolithic structures with tight coupling to microservices with loose coupling and independent scalability. Microservices allow for improved resilience, scalability, and the ability for teams to work independently. The document also discusses the influence of cloud computing, containerization, and other factors on enabling and popularizing the microservices approach.
It is not uncommon for Notes client developers to feel intimidated by the wide range of technologies available when modernizing an existing portfolio of applications with XPages. In this 2-hour workshop we will provide a series of 20-minute introductions to many of these new and emerging technologies. Learn about Java, Beans, REST Services, Bootstrap, Mobile Controls, data visualization and a whole lot more.
Kafka can be used to build real-time streaming applications and process large amounts of data. It provides a simple publish-subscribe messaging model with streams of records. Kafka Connect allows connecting Kafka with other data systems and formats through reusable connectors. Kafka Streams provides a streaming library to allow building streaming applications and processing data in Kafka streams through operators like map, filter and windowing.
Discussion of how microservices are being applied across both web scale and enterprise/government use cases to help speed up development.
Video available at http://www.ustream.tv/recorded/86151804
This document discusses database schema migrations and their importance. It summarizes that schema migrations improve the software development lifecycle by keeping code and database schemas consistent. The document outlines a presentation on the topic, including a demonstration of schema migrations, an overview of current tools like Flyway and Liquibase, and possibilities for integrating schema migrations into Java EE in the future. The presentation argues that adding schema migrations to Java EE could increase quality and productivity by solving a problem not addressed in current Java standards.
TIBCO Advanced Analytics Meetup (TAAM) - June 2015Bipin Singh
This document summarizes a TIBCO Advanced Analytics meetup. It includes an agenda for presentations on TIBCO Analytics and data science, predictive analytics using TERR expressions, real-time analytics, APIs, and a question/answer wrap-up session. It also provides overviews of the Spotfire platform for data visualization and analytics, Spotfire capabilities for accessing and preparing data from various sources, and supported data sources.
The Cytoscape Cyberinfrastructure extends Cytoscape and its community into web-connected services.The CI is a Service Oriented Architecture that supports network biology oriented computations that can be orchestrated into repeatable workflows.
Another day, another buzzword in the world of software development! ‘Microservices’ is a new approach to structuring server-side software. But is it really new? In this talk I’ll walk you through the birth and ‘raison d’etre’ of microservices and tell about pro’s and con’s of the approach.
Having laid the foundation, we will take a look at best-practices and patterns for building micro service architectures and combine this with a tour of current technologies and development tools.
Finally, I will take a quick look at the future and discuss some of the remaining challenges. All parts of the presentation will be accompanied by structural examples based on a real ecommerse system.
Powering the Cisco Intercloud Service using OpenStack TroveTesora
Cisco discovers that DBaaS strikes the perfect balance between ownership of the database layer and abstraction of underlying infrastructure and processes.
Accelerate application delivery with docker containers and windows server 2016Taylor Brown
This webinar discussed how containers can help solve problems in IT related to availability, agility, and scaling applications. Containers deliver speed and flexibility compared to virtual machines by starting nearly instantly, using fewer resources, and allowing applications to run anywhere. The webinar demonstrated how to containerize legacy applications, transform them to microservices, and accelerate new applications using a single container platform. It highlighted how containers address issues like breakages during deployment and "works on my machine" problems. The presentation concluded by providing resources for learning more about using containers on Windows Server 2016 with Docker.
Security & Resiliency of Cloud Native Apps with Weave GitOps & Tetrate Servic...Weaveworks
Cloud-native applications are increasingly spanning across hybrid and multi-cloud environments such as on-premise data centers, in the cloud (Amazon EKS, Azure AKS, Google Cloud GKE) and at the edge. Customers need to ensure security and resiliency for their cloud-native applications while managing releases through reliable, consistent deployment and runtime policies.
In this session, we’ve partnered with Tetrate to showcase how to effectively manage advanced deployments using Weave GitOps. Managing application configurations by different teams across multiple Kubernetes clusters is made possible with Weave GitOps and Tetrate Service Bridge. Using familiar Git workflows, Weave Policy-as-Code enables application engineers to quickly deliver new features safely.
Join us as we demonstrate the scenarios where:
- All changes to application configuration are managed through Git workflows.
- GitOps provides an extra layer of security by removing the need for direct access to Kubernetes clusters.
- Policy-as-Code guarantees security, resilience and coding standards compliance.
- Tetrate Service Bridge provides dynamic configuration of application workloads and failover across multiple Kubernetes clusters.
RightScale User Conference / Fall / 2010 - Morning SessionsRightScale
The document discusses RightScale's community programs for cloud management users, including user conferences, online forums, community publishing, local user groups, and ambassador programs. It highlights RightScale's user groups where users can network, share best practices, and get support from RightScale. It also describes the ambassador program which empowers enthusiasts to share information about RightScale and clouds.
These slides will help you to choose a PaaS solution by analyzing 6 most important dimensions: adoption, features, operational capabilities, continuous delivery and ALM, architecture and deployment principles, developer ecosystem.
Kevin Huang: AWS San Francisco Startup Day, 9/7/17
Architecture: When, how, and if to adopt microservices - Microservices are not for everyone! If you're a small shop, a monolith provides a great amount of value and reduces the complexities involved. However as your company grows, this monolith becomes more difficult to maintain. We’ll look at how microservices allow you to easily deploy and debug atomic pieces of infrastructure which allows for increased velocity in reliable, tested, and consistent deploys. We’ll look into key metrics you can use to identify the right time to begin the transition from monolith to microservices.
This document provides an introduction to Telerik OpenAccess ORM. It begins with an overview of ORM and its benefits. It then defines Telerik OpenAccess as an enterprise-grade .NET ORM that handles data access. The document outlines key features such as Visual Studio integration, performance/caching, database support, and application scenario support. It also previews demos of CRUD operations and the DSW. The document concludes with an overview of ORM performance benchmarking.
Benchmark Showdown: Which Relational Database is the Fastest on AWS?Clustrix
Do you have a high-value, high throughput application running on AWS? Are you moving part or all of your infrastructure to AWS? Do you have a high-transaction workload that is only expected to grow as your company grows? Choosing the right database for your move to AWS can make you a hero or a goat. Be a hero!
Databases are the mission-critical lifeline of most businesses. For years MySQL has been the easy choice -- but the popularity of the cloud and new products like Aurora, RDS MySQL and ClustrixDB have given customers choices and options that can help them work smarter and more efficiently.
Enterprise Strategy Group (ESG) presents their findings from a recent performance benchmark test configured for high-transaction, low-latency workloads running on AWS.
In this webinar, you will learn:
How high-transaction, high-value database workloads perform when run on three popular databases solutions running on AWS.
How key metrics like transactions per second (tps) and database response time (latency) can affect performance and customer satisfaction.
How the ability to scale both database reads and writes is the key to unlocking performance on AWS
The document discusses Netflix's microservices architecture and principles. Netflix uses over 500 microservices running on AWS, with 100s-1000s of daily deployments. They use services like Apache Cassandra as their scalable NoSQL database and NGINX as a load balancer. The document also discusses how other companies like Gilt and HERE migrated to microservices architectures, with Gilt moving from Ruby on Rails to Scala/Play/Docker and HERE using technologies like MQTT, Kafka, and Docker for their "Internet of Ducks".
The document provides an overview of different types of software testing including systems testing, performance and load testing, usability testing, acceptance testing, exploratory testing, security testing, alpha/beta testing, and defect management. It discusses topics such as code coverage, defect metrics, and test metrics. The document is intended to educate about software testing best practices and techniques.
This document provides an overview of software testing concepts. It discusses different types of testing like unit testing, functional testing, error path testing, boundary value testing, and equivalence partitioning. It also covers test strategies like golden path testing, black box testing, and white box testing. The purpose of a tester is explained as quantifying risk to make decisions that improve confidence and quality.
The document discusses various topics related to microservices including DevOps, continuous delivery, configuration management, monitoring, containers, virtual machines, inter-service communication using messaging queues, testing microservices, and chaos engineering. It provides examples of concepts like immutable infrastructure, service discovery, concurrency, and using the event log as a source of truth.
The document provides technical specifications for the computers used during the Apollo missions to the Moon, including the computers onboard Apollo 11 that landed astronauts on the lunar surface. It lists the ROM, RAM, weight, and volume for the early Apollo guidance computers, and compares them to modern smartphone specifications to showcase the advances in computing technology over the past 50 years. Links are also provided for learning more about the Apollo computer code and simulating the Apollo Guidance Computer.
The document discusses inter-service communication between different teams using various technologies like REST, HTTP, email, Slack, MQ Light and messaging. It mentions building, testing, publishing and subscribing functions and questions whether retry logic is needed when using REST. It also includes a quote about publishing everything from Tom Livesey of Droplet.
The Agile Manifesto is a document that outlines principles of agile software development. It emphasizes individuals and interactions over processes and tools, working software over comprehensive documentation, customer collaboration over contract negotiation, and responding to change over following a plan. The manifesto advocates for iterative development, welcoming changing requirements, close customer collaboration, self-organizing teams, and regular reflection on how to become more effective.
The document discusses using AMQP/MQ Light as a microservices transport. It compares using MQ Light to using REST for communication between microservices. MQ Light uses a publish-subscribe model where services subscribe to topics to receive messages, rather than services calling each other directly. This allows for looser coupling between services and avoids services needing to know about changes to other services.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Gas agency management system project report.pdfKamal Acharya
The project entitled "Gas Agency" is done to make the manual process easier by making it a computerized system for billing and maintaining stock. The Gas Agencies get the order request through phone calls or by personal from their customers and deliver the gas cylinders to their address based on their demand and previous delivery date. This process is made computerized and the customer's name, address and stock details are stored in a database. Based on this the billing for a customer is made simple and easier, since a customer order for gas can be accepted only after completing a certain period from the previous delivery. This can be calculated and billed easily through this. There are two types of delivery like domestic purpose use delivery and commercial purpose use delivery. The bill rate and capacity differs for both. This can be easily maintained and charged accordingly.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
2. Who am I?
● Steve Upton
● English / Welsh / British / Irish(?)
● BSc. Computer Science (Cardiff University)
● Physics & Astronomy (Open University)
● IBM (6 years)
○ Messaging
○ OASIS MQTT TC member
○ Working with clients on Microservice systems
○ London μService user group
● HERE Berlin (6 months)
○ Microservices
○ Robots!
13. Tightly coupled, slow to change
Sharing hardware
Needs knowledge of other components (interfaces)
14. Tightly coupled, slow to change
Sharing hardware
Needs knowledge of other components (interfaces)
Sharing libraries, platform, OS etc.
15. Tightly coupled, slow to change
Sharing hardware
Needs knowledge of other components (interfaces)
Sharing libraries, platform, OS etc.
Difficult to upgrade without affecting other services
16. Tightly coupled, slow to change
Sharing hardware
Needs knowledge of other components (interfaces)
Sharing libraries, platform, OS etc.
Difficult to upgrade without affecting other services
Teams have little choice in setup
32. Loosely coupled, easy to change
Teams free to choose OS, language, libraries etc.
Share contracts, not interfaces and internals
Little to no knowledge of other services needed
33. Loosely coupled, easy to change
Teams free to choose OS, language, libraries etc.
Share contracts, not interfaces and internals
Little to no knowledge of other services needed
No shared state
Free to upgrade and experiment
36. Easy to scale
Vertical scaling easy and more effective
Horizontal scaling also easy!
More efficient use of resources
37. Easy to scale
Vertical scaling easy and more effective
Horizontal scaling also easy!
More efficient use of resources
Auto scaling of individual services possible
41. “Loosely coupled service oriented
architecture with bounded contexts”
Adrian Cockcroft, Architect @ Netflix
42. “In short, the microservice architectural style is an approach to developing
a single application as a suite of small services, each running in its
own process and communicating with lightweight mechanisms, often an
HTTP resource API. These services are built around business
capabilities and independently deployable by fully automated
deployment machinery. There is a bare minimum of centralized
management of these services, which may be written in different
programming languages and use different data storage technologies.”
James Lewis and Martin Fowler, ThoughtWorks
64. Marx on Microservices
Economic and Philosophic Manuscripts of 1844
Gattungswesen (species-essence)
Workers feeling a connection to their work
65. Marx on Microservices
Economic and Philosophic Manuscripts of 1844
Gattungswesen (species-essence)
Workers feeling a connection to their work
Entfremdung (alienation)
Workers feel estranged from their work
66. “Any piece of software reflects the organizational
structure that produced it”
Conway's Law
75. CAP Theorem
Consistency
(all requests return the correct results)
Availability
(all requests complete)
Partition tolerance
(the network may fail)
Pick 2
76. CAP Theorem - Example 1
[x]
Data store
User 1 User 2
77. CAP Theorem - Example 1
[x]
Data store
User 1 User 2
put(40)
78. CAP Theorem - Example 1
[40]
Data store
User 1 User 2
79. CAP Theorem - Example 1
[40]
Data store
User 1 User 2
get
80. CAP Theorem - Example 1
[40]
Data store
User 1 User 2
40
81. CAP Theorem - Example 1
[40]
Data store
User 1 User 2
40
✔ Consistent (correct)
✔ Available (answered)
❌ Partition tolerant (no network partitions)
82. CAP Theorem - Example 1
[40]
Data store
User 1 User 2
40
✔ Consistent (correct)
✔ Available (answered)
❌ Partition tolerant (no network partitions)
[PROBLEM] No real world system looks like this
83. CAP Theorem - Example 2
[40]
Data store (US)
User 1 User 2
[40]
Data store (EU)
84. CAP Theorem - Example 2
[40]
Data store (US)
User 1 User 2
put(60)
[40]
Data store (EU)
85. CAP Theorem - Example 2
[60]
Data store (US)
User 1 User 2
[40]
Data store (EU)
86. CAP Theorem - Example 2
[60]
Data store (US)
User 1 User 2
[40]
Data store (EU)
87. CAP Theorem - Example 2
[60]
Data store (US)
User 1 User 2
[40]
Data store (EU)
get
What now?
88. CAP Theorem - Example 2
[60]
Data store (US)
User 1
User 2
[40]
Data store (EU)
get ⟶ 40
89. CAP Theorem - Example 2
[60]
Data store (US)
User 1
User 2
[40]
Data store (EU)
get ⟶ 40
❌ Consistent (incorrect)
✔ Available (answered)
✔ Partition tolerant
90. CAP Theorem - Example 2
[60]
Data store (US)
User 1
User 2
[40]
Data store (EU)
get ⟶ 40
❌ Consistent (incorrect)
✔ Available (answered)
✔ Partition tolerant
User 2
wait
91. CAP Theorem - Example 2
[60]
Data store (US)
User 1
User 2
[40]
Data store (EU)
get ⟶ 40
❌ Consistent (incorrect)
✔ Available (answered)
✔ Partition tolerant
User 2
wait
✔ Consistent (correct)
❌ Available (not answered)
✔ Partition tolerant
159. “If two identical, deterministic processes begin in
the same state and get the same inputs in the
same order, they will produce the same output and
end in the same state.”
State Machine Replication Principle, Jay Kreps, LinkedIn
186. “Microservices are hard. Some things you get for
free, but you have to work for the good stuff. If
you won’t put in the work, you shouldn’t be doing
Microservices. (You should be doing that stuff
anyway!)”
Steve Upton
187. “Microservices are hard. Some things you get for
free, but you have to work for the good stuff. If
you won’t put in the work, you shouldn’t be doing
Microservices. (You should be doing that stuff
anyway!)”
Steve Upton
188. “Microservices are hard. Some things you get for
free, but you have to work for the good stuff. If
you won’t put in the work, you shouldn’t be doing
Microservices. (You should be doing that stuff
anyway!)”
Steve Upton
189. “Microservices are hard. Some things you get for
free, but you have to work for the good stuff. If
you won’t put in the work, you shouldn’t be doing
Microservices. (You should be doing that stuff
anyway!)”
Steve Upton
190. “Microservices are hard. Some things you get for
free, but you have to work for the good stuff. If
you won’t put in the work, you shouldn’t be doing
Microservices. (You should be doing that stuff
anyway!)”
Steve Upton
191. “Microservices are hard. Some things you get for
free, but you have to work for the good stuff. If
you won’t put in the work, you shouldn’t be doing
Microservices. (You should be doing that stuff
anyway!)”
Steve Upton