Espresso Logic builds and runs RESTful servers for SQL databases, with advanced support for row/column level security, and business logic by JavaScript events and Reactive Programming.
Kishore Kailainathan is a full stack software developer intern at Thinix and has a M.S in Computer Science from Iowa State University with a GPA of 3.74. He has experience developing RESTful APIs using C# and Angular, as well as setting up continuous integration using Jenkins. Previously he worked as a software engineer lead and associate at athenahealth India, where he led teams handling medical claims and billing and improved system performance.
https://aka.ms/spark-architecture
https://aka.ms/distributed-programming
https://twitter.com/AdiPolak
-------------------------------------------------------------------------------------------------
Spark is quickly gaining steam in the Big Data analytics world. However, it also has excellent features for Stream processing and machine learning development. Big Data systems are a new reality. Whether we're creating microservices-based solutions or machine learning-based products, we work with data, most often, big data. Apache Spark is your friend if you want to position yourself on the road for success as a Big Data Developer, Data Engineer, or Data Science with hands-on production experience. Come to this session to learn Apache Spark basics and how YOU can get starting with it.
This document provides an overview and introduction to testing Android apps with Espresso:
- Espresso is a testing framework created by Google for writing reliable UI tests for Android apps. It allows writing tests to interact with views in the app and check their expected behavior.
- The core components of Espresso include matchers to find views, actions to perform interactions, and assertions to validate views match expected states. Common matchers, actions, and assertions are introduced.
- Configuration and setup for Espresso tests in Android projects is explained, including dependencies, test rules, and JUnit annotations. Additional libraries that extend Espresso functionality are also listed.
The document discusses performance analysis of a large intranet web application called Global Projects Delivery (GPD) which was experiencing erratic response times for users. Key findings from the analysis were:
1) Most traffic occurred during morning, post-lunch, and evening peaks and was concentrated on a few frequently accessed pages like daily task updates.
2) While the application server response time was good, 98% of the total response time was spent on data transfer, indicating the network was the bottleneck.
3) Pages with multiple frames and requests slowed down data transfer rates significantly compared to simpler pages.
4) Actions recommended included redesigning pages to reduce frames and requests, relocating servers closer to users, and
- Google App Engine is a platform for easily developing and hosting scalable web applications, with no need for complex server management. It automatically scales the applications and handles all the operational details.
- App Engine applications run on Google's infrastructure and benefit from automatic scaling across multiple servers. It also provides security isolation and quotas to prevent applications from disrupting others.
- The platform uses a stateless, request-based architecture and scales applications automatically as traffic increases by distributing requests across multiple servers. It also uses quotas to ensure fairness among applications.
This document discusses strategies for handling large amounts of data in web applications. It begins by providing examples of how much data some large websites contain, ranging from terabytes to petabytes. It then covers various techniques for scaling data handling capabilities including vertical and horizontal scaling, replication, partitioning, consistency models, normalization, caching, and using different data engine types beyond relational databases. The key lessons are that data volumes continue growing rapidly, and a variety of techniques are needed to scale across servers, datacenters, and provide high performance and availability.
The Story of How an Oracle Classic Stronghold successfully embraced SOA (ODTU...Lucas Jellema
The organization had been using Oracle RDBMS, Oracle Designer & Forms and even an Oracle EBS module for many years. On the side it had been running several open source J2EE web applications. Facing several new challenges, it took the plunge into SOA - the technology and the architectural principle.
This presentation tells their story.
It started with the business need of opening up the core application to several external business partners. A programmatic interface was required for submitting expense reports - in the thousands - for one business partner, who also wanted to be able to ask for the status for each one those reports.
Another external entity needed the ability to learn about relevant changes in product and pricing data through an API.
We will discuss how SOA principles were used to design the application architecture. And how the Oracle 10g SOA Suite - specifically ESB and BPEL PM - were used to implement the requirements. We go into the choices the organization had to make, the challenges they had to overcome, the skills they had to acquire and the results they achieved.
After this first stage came the next set of business requirements needed tackling. And now the first benefits could be reaped. Following the guidelines established in their first close encounter with SOA, this organization achieved the first reuse of services, could rapidly decide on the application architecture for the ADF 11g Internet Application that needed to be created and further expanded their still little SOA universe. The initial experience now enabled them to decide on whether and how to service enable specific functionality required for the web application - how to use ESB and BPEL, for example and when to use application specific database APIs rather than SOA Web Services.
This stage also taught them the necessity of Governance - what are naming conventions for elements in Schema Definitions and Services, who owns a service, what’s the required availability and how is that achieved, what are the SLAs (Service Level Agreements) around the service, how can the service be evolved with respect to new or changing needs.
The presentation will tell the story of the two stages and how the organization went about them. It will show some small demos to illustrate what was done. It will share some conclusions as to what works and what does not. Finally it briefly discusses the future plans for this organization with regard to SOA.
The presentation is for an audience that probably (though not necessarily) has a classic Oracle background and either is in the process of taking its first steps in the SOA arena or considers moving their. It should help make that process more tangible and hopefully realistic and desirable.
Summary:
The organization had been using Oracle RDBMS, Oracle Designer & Forms and even an Oracle EBS module for many years. Facing several new challenges, it took the plunge into SOA - the technology and the architectural principle. This presentation tells their story. Of getting started with BPEL and ESB, with Governance and Security (OWSM) and of applying SOA principles. And of the second phase where reuse and agility started to occur.
Silicon Valley Code Camp 2010: Social Platforms : What goes on under the hoodManish Pandit
In this session I'd share the design, architecture and implementation of some of the most common elements of any social platform - Open API, profiles, searches, lists and activity streams. These "pillers" of a social platform bear most of the weight behind a jazzy UI, and scaling them has its own challenges. I will also talk about how we built the Social Platform at IGN from ground up, including not-so-unique challenges like integration with legacy systems.
Kishore Kailainathan is a full stack software developer intern at Thinix and has a M.S in Computer Science from Iowa State University with a GPA of 3.74. He has experience developing RESTful APIs using C# and Angular, as well as setting up continuous integration using Jenkins. Previously he worked as a software engineer lead and associate at athenahealth India, where he led teams handling medical claims and billing and improved system performance.
https://aka.ms/spark-architecture
https://aka.ms/distributed-programming
https://twitter.com/AdiPolak
-------------------------------------------------------------------------------------------------
Spark is quickly gaining steam in the Big Data analytics world. However, it also has excellent features for Stream processing and machine learning development. Big Data systems are a new reality. Whether we're creating microservices-based solutions or machine learning-based products, we work with data, most often, big data. Apache Spark is your friend if you want to position yourself on the road for success as a Big Data Developer, Data Engineer, or Data Science with hands-on production experience. Come to this session to learn Apache Spark basics and how YOU can get starting with it.
This document provides an overview and introduction to testing Android apps with Espresso:
- Espresso is a testing framework created by Google for writing reliable UI tests for Android apps. It allows writing tests to interact with views in the app and check their expected behavior.
- The core components of Espresso include matchers to find views, actions to perform interactions, and assertions to validate views match expected states. Common matchers, actions, and assertions are introduced.
- Configuration and setup for Espresso tests in Android projects is explained, including dependencies, test rules, and JUnit annotations. Additional libraries that extend Espresso functionality are also listed.
The document discusses performance analysis of a large intranet web application called Global Projects Delivery (GPD) which was experiencing erratic response times for users. Key findings from the analysis were:
1) Most traffic occurred during morning, post-lunch, and evening peaks and was concentrated on a few frequently accessed pages like daily task updates.
2) While the application server response time was good, 98% of the total response time was spent on data transfer, indicating the network was the bottleneck.
3) Pages with multiple frames and requests slowed down data transfer rates significantly compared to simpler pages.
4) Actions recommended included redesigning pages to reduce frames and requests, relocating servers closer to users, and
- Google App Engine is a platform for easily developing and hosting scalable web applications, with no need for complex server management. It automatically scales the applications and handles all the operational details.
- App Engine applications run on Google's infrastructure and benefit from automatic scaling across multiple servers. It also provides security isolation and quotas to prevent applications from disrupting others.
- The platform uses a stateless, request-based architecture and scales applications automatically as traffic increases by distributing requests across multiple servers. It also uses quotas to ensure fairness among applications.
This document discusses strategies for handling large amounts of data in web applications. It begins by providing examples of how much data some large websites contain, ranging from terabytes to petabytes. It then covers various techniques for scaling data handling capabilities including vertical and horizontal scaling, replication, partitioning, consistency models, normalization, caching, and using different data engine types beyond relational databases. The key lessons are that data volumes continue growing rapidly, and a variety of techniques are needed to scale across servers, datacenters, and provide high performance and availability.
The Story of How an Oracle Classic Stronghold successfully embraced SOA (ODTU...Lucas Jellema
The organization had been using Oracle RDBMS, Oracle Designer & Forms and even an Oracle EBS module for many years. On the side it had been running several open source J2EE web applications. Facing several new challenges, it took the plunge into SOA - the technology and the architectural principle.
This presentation tells their story.
It started with the business need of opening up the core application to several external business partners. A programmatic interface was required for submitting expense reports - in the thousands - for one business partner, who also wanted to be able to ask for the status for each one those reports.
Another external entity needed the ability to learn about relevant changes in product and pricing data through an API.
We will discuss how SOA principles were used to design the application architecture. And how the Oracle 10g SOA Suite - specifically ESB and BPEL PM - were used to implement the requirements. We go into the choices the organization had to make, the challenges they had to overcome, the skills they had to acquire and the results they achieved.
After this first stage came the next set of business requirements needed tackling. And now the first benefits could be reaped. Following the guidelines established in their first close encounter with SOA, this organization achieved the first reuse of services, could rapidly decide on the application architecture for the ADF 11g Internet Application that needed to be created and further expanded their still little SOA universe. The initial experience now enabled them to decide on whether and how to service enable specific functionality required for the web application - how to use ESB and BPEL, for example and when to use application specific database APIs rather than SOA Web Services.
This stage also taught them the necessity of Governance - what are naming conventions for elements in Schema Definitions and Services, who owns a service, what’s the required availability and how is that achieved, what are the SLAs (Service Level Agreements) around the service, how can the service be evolved with respect to new or changing needs.
The presentation will tell the story of the two stages and how the organization went about them. It will show some small demos to illustrate what was done. It will share some conclusions as to what works and what does not. Finally it briefly discusses the future plans for this organization with regard to SOA.
The presentation is for an audience that probably (though not necessarily) has a classic Oracle background and either is in the process of taking its first steps in the SOA arena or considers moving their. It should help make that process more tangible and hopefully realistic and desirable.
Summary:
The organization had been using Oracle RDBMS, Oracle Designer & Forms and even an Oracle EBS module for many years. Facing several new challenges, it took the plunge into SOA - the technology and the architectural principle. This presentation tells their story. Of getting started with BPEL and ESB, with Governance and Security (OWSM) and of applying SOA principles. And of the second phase where reuse and agility started to occur.
Silicon Valley Code Camp 2010: Social Platforms : What goes on under the hoodManish Pandit
In this session I'd share the design, architecture and implementation of some of the most common elements of any social platform - Open API, profiles, searches, lists and activity streams. These "pillers" of a social platform bear most of the weight behind a jazzy UI, and scaling them has its own challenges. I will also talk about how we built the Social Platform at IGN from ground up, including not-so-unique challenges like integration with legacy systems.
The rise of cloud and containers has led to systems that are much more distributed and dynamic in nature. Highly elastic microservice and serverless architectures mean containers spin up on demand and scale to zero when that demand goes away. This generates a continous stream of infrastructure data.
On the business side, we have started storing lot of data and this data contains enormours information, specially when married with infrastructure data this gives holistic health information of the entire platform. We will talk about how to achieve this kind of fine-grained observability at scale in real-time.
AI&BigData Lab 2016. Сарапин Виктор: Размер имеет значение: анализ по требова...GeeksLab Odessa
4.6.16 AI&BigData Lab
Upcoming events: goo.gl/I2gJ4H
Как устроить анализ данных 40 млн. человек за 5 лет так, чтобы это выглядело почти в реальном времени.
This document provides an overview of a workshop on cloud native, capacity, performance and cost optimization tools and techniques. It begins with introducing the difference between a presentation and workshop. It then discusses introducing attendees, presenting on various cloud native topics like migration paths and operations tools, and benchmarking Cassandra performance at scale across AWS regions. The goal is to explore cloud native techniques while discussing specific problems attendees face.
The document discusses various performance issues that can arise when developing PHP applications and provides recommendations on tools and techniques to identify and address performance problems. Some key points covered include optimizing database queries, reducing network latency, avoiding IO contention, improving CPU utilization, and using tools like Zend Server to monitor performance. The document emphasizes using a scientific approach to identify and solve specific performance problems.
The document discusses skeuomorphs and metaphors in architecture and databases. It explores how mobile applications can architect for performance when the internet functions like a database. It recommends making applications smarter through profiling, threading, and caching, using networks intelligently through bundling and pipelining requests, and optimizing "databases" through stored procedures, queueing, denormalization, and managing result sets. The document considers whether viewing the internet as a database is a skeuomorph or metaphor, and discusses lessons from the past that can help optimize current mobile and cloud architectures.
The document summarizes new features in .NET 3.5 SP1, including enhancements to ADO.NET Entity Framework, ADO.NET Data Services, ASP.NET routing, and ASP.NET dynamic data. It provides an overview and demonstrations of each technology. Key points covered include using Entity Framework to bridge the gap between object-oriented and relational models, consuming entity data models via LINQ queries or object services, and using data services to expose data over HTTP in a RESTful manner.
What is going on? Application Diagnostics on Azure - Copenhagen .NET User GroupMaarten Balliauw
We all like building and deploying cloud applications. But what happens once that’s done? How do we know if our application behaves like we expect it to behave? Of course, logging! But how do we get that data off of our machines? How do we sift through a bunch of seemingly meaningless diagnostics? In this session, we’ll look at how we can keep track of our Azure application using structured logging, AppInsights and AppInsights analytics to make all that data more meaningful.
Black Friday and Cyber Monday- Best Practices for Your E-Commerce DatabaseTim Vaillancourt
This document provides best practices for scaling e-commerce databases for Black Friday and Cyber Monday. It discusses scaling both synchronous and asynchronous applications, efficiently using data at scale through techniques like caching, queues, and counters. It also covers scaling out through techniques like sharding, pre-sharding, and kill switches. Testing performance and capacity, as well as asking the right questions at development time are also recommended.
The document discusses the evolution of web applications from thin clients with fat servers to more balanced architectures. New browser technologies like HTML5, faster JavaScript engines, local storage, and offline capabilities allow more processing to be done locally on the client. This enables richer interfaces, offline usage, and more balanced work distribution between the client and server. It provides examples of how a web application may utilize these new capabilities, such as storing data locally and caching interfaces while communicating with a server via JSON.
Skeuomorphs, Databases, and Mobile PerformanceSam Ramji
The document discusses skeuomorphs and metaphors in architecture and databases. It explores how mobile applications can architect for performance by making the application smarter through profiling, threading, and caching, using the network intelligently through bundling and pipelining requests, and optimizing databases through stored procedures, queueing, denormalization, and managing result sets. The document considers whether describing the internet as a database is a skeuomorph or metaphor, and discusses lessons learned from prior database architectures that can help improve mobile performance.
Architecting For The Windows Azure PlatformDavid Chou
This document discusses architecting applications for the Windows Azure platform. It provides an overview of application models that can be hosted on Azure, such as web and application hosting. It also presents several case studies of companies that developed applications for Azure to take advantage of its scalability, availability and cost benefits. Finally, it outlines common application patterns that are well-suited for Azure, such as cloud web applications, and discusses Azure's platform services.
Real-time Analytics for Data-Driven ApplicationsVMware Tanzu
Real-time analytics is important for data-driven applications. Ampool provides an active data store (ADS) that can ingest data in real-time, analyze it using various engines, and serve the results concurrently. This eliminates "data blackout periods" and enables applications to use up-to-date information. Ampool's ADS is powered by Apache Geode and has connectors for ingesting and processing data. It supports both transactional and analytical workloads in memory for low-latency.
Best practices with Microsoft Graph: Making your applications more performant...Microsoft Tech Community
Learn how to take advantage of APIs, platform capabilities and intelligence from Microsoft Graph to make your app more performant, more resilient and more reliable
This document provides an overview of key SAP Basis functions including:
- What the Basis system is and how it handles transaction requests
- Differentiating between work processes like dialog, update, enqueue, batch, and spool
- Understanding the basic SAP system architecture including application and presentation layers, application and database servers, and work processes
- Explaining common Basis administration functions like user administration, client maintenance, transport management, and performance monitoring
Movile Internet Movel SA: A Change of Seasons: A big move to Apache CassandraDataStax Academy
A few years ago, processing large volumes of data was an exclusive problem of big companies. Nowadays, technological advancement allows people to be connected with each other all the time, generating and consuming large amounts of data.
In the challenge to follow Movile's exponential growth and increasing volume of information, we soon realized that traditional relational database and data analysis solutions were no longer a good fit to solve new order issues. Therefore, we present Movile's 'Change Of Seasons', a use case on adopting Apache Cassandra as a solution for critical high-performance distributed systems.
Cassandra Summit 2015 - A Change of SeasonsEiti Kimura
The document summarizes Movile's big move to Apache Cassandra from relational databases for three key systems:
1) The subscription and billing system to improve performance, availability, and scalability.
2) The Kiwi user platform to reduce costs and improve throughput.
3) Distributing shared resources across a Cassandra cluster to improve scalability and reduce hardware costs.
The moves resulted in significant cost savings, throughput increases, and more scalable architectures.
Fitur AppManager - Application Manager ManageEngineFanky Christian
ManageEngine Applications Manager is a solution that monitors IT infrastructure including applications, servers, databases, operating systems, and network services across physical, virtual, and cloud environments. It provides unified monitoring of business infrastructure and diverse applications. Key functions include agentless monitoring of heterogeneous infrastructure, alerts and root cause analysis, reporting, and support for ITIL processes like SLA management. It is available in various product editions for small/medium/enterprise users.
This document discusses the speaker's 8 years of experience using open source platforms for commercial web applications. It provides an overview of projects the speaker developed using various open source technologies like PHP, Java, Firebird, PostgreSQL and others. It also outlines technical and business requirements for commercial web applications and lessons learned, including choosing a minimal but complete set of technologies, considering fewer upgrades, and not adopting new technologies too early. The speaker believes open source can work for commercial projects when adopted in a business-like manner.
The document discusses various topics related to next generation technologies including data warehousing, business intelligence, enterprise applications, and cloud computing. It covers data modeling schemas, reporting dashboards, n-tier application architectures, integration of frameworks like Spring and Hibernate, and the evolution of Java EE technologies over time. Examples of topics are data warehousing that collects and analyzes data from multiple databases, reporting dashboards to extract business insights, and service-oriented architectures that enable cloud computing through web service calls.
The document provides an overview of Apache Kafka. It discusses that Kafka is a distributed streaming platform that allows data to be produced and consumed from partitions in topics in a fault-tolerant and ordered manner. It stores data persistently and processes events sequentially. Producers write messages to partitions which are distributed across brokers, while consumers pull messages from partitions in a consumer group to parallelize processing. Connectors integrate other data systems with Kafka for ETL. Major companies like LinkedIn, Netflix, and Twitter use Kafka for messaging, data replication, and real-time analytics use cases.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
The rise of cloud and containers has led to systems that are much more distributed and dynamic in nature. Highly elastic microservice and serverless architectures mean containers spin up on demand and scale to zero when that demand goes away. This generates a continous stream of infrastructure data.
On the business side, we have started storing lot of data and this data contains enormours information, specially when married with infrastructure data this gives holistic health information of the entire platform. We will talk about how to achieve this kind of fine-grained observability at scale in real-time.
AI&BigData Lab 2016. Сарапин Виктор: Размер имеет значение: анализ по требова...GeeksLab Odessa
4.6.16 AI&BigData Lab
Upcoming events: goo.gl/I2gJ4H
Как устроить анализ данных 40 млн. человек за 5 лет так, чтобы это выглядело почти в реальном времени.
This document provides an overview of a workshop on cloud native, capacity, performance and cost optimization tools and techniques. It begins with introducing the difference between a presentation and workshop. It then discusses introducing attendees, presenting on various cloud native topics like migration paths and operations tools, and benchmarking Cassandra performance at scale across AWS regions. The goal is to explore cloud native techniques while discussing specific problems attendees face.
The document discusses various performance issues that can arise when developing PHP applications and provides recommendations on tools and techniques to identify and address performance problems. Some key points covered include optimizing database queries, reducing network latency, avoiding IO contention, improving CPU utilization, and using tools like Zend Server to monitor performance. The document emphasizes using a scientific approach to identify and solve specific performance problems.
The document discusses skeuomorphs and metaphors in architecture and databases. It explores how mobile applications can architect for performance when the internet functions like a database. It recommends making applications smarter through profiling, threading, and caching, using networks intelligently through bundling and pipelining requests, and optimizing "databases" through stored procedures, queueing, denormalization, and managing result sets. The document considers whether viewing the internet as a database is a skeuomorph or metaphor, and discusses lessons from the past that can help optimize current mobile and cloud architectures.
The document summarizes new features in .NET 3.5 SP1, including enhancements to ADO.NET Entity Framework, ADO.NET Data Services, ASP.NET routing, and ASP.NET dynamic data. It provides an overview and demonstrations of each technology. Key points covered include using Entity Framework to bridge the gap between object-oriented and relational models, consuming entity data models via LINQ queries or object services, and using data services to expose data over HTTP in a RESTful manner.
What is going on? Application Diagnostics on Azure - Copenhagen .NET User GroupMaarten Balliauw
We all like building and deploying cloud applications. But what happens once that’s done? How do we know if our application behaves like we expect it to behave? Of course, logging! But how do we get that data off of our machines? How do we sift through a bunch of seemingly meaningless diagnostics? In this session, we’ll look at how we can keep track of our Azure application using structured logging, AppInsights and AppInsights analytics to make all that data more meaningful.
Black Friday and Cyber Monday- Best Practices for Your E-Commerce DatabaseTim Vaillancourt
This document provides best practices for scaling e-commerce databases for Black Friday and Cyber Monday. It discusses scaling both synchronous and asynchronous applications, efficiently using data at scale through techniques like caching, queues, and counters. It also covers scaling out through techniques like sharding, pre-sharding, and kill switches. Testing performance and capacity, as well as asking the right questions at development time are also recommended.
The document discusses the evolution of web applications from thin clients with fat servers to more balanced architectures. New browser technologies like HTML5, faster JavaScript engines, local storage, and offline capabilities allow more processing to be done locally on the client. This enables richer interfaces, offline usage, and more balanced work distribution between the client and server. It provides examples of how a web application may utilize these new capabilities, such as storing data locally and caching interfaces while communicating with a server via JSON.
Skeuomorphs, Databases, and Mobile PerformanceSam Ramji
The document discusses skeuomorphs and metaphors in architecture and databases. It explores how mobile applications can architect for performance by making the application smarter through profiling, threading, and caching, using the network intelligently through bundling and pipelining requests, and optimizing databases through stored procedures, queueing, denormalization, and managing result sets. The document considers whether describing the internet as a database is a skeuomorph or metaphor, and discusses lessons learned from prior database architectures that can help improve mobile performance.
Architecting For The Windows Azure PlatformDavid Chou
This document discusses architecting applications for the Windows Azure platform. It provides an overview of application models that can be hosted on Azure, such as web and application hosting. It also presents several case studies of companies that developed applications for Azure to take advantage of its scalability, availability and cost benefits. Finally, it outlines common application patterns that are well-suited for Azure, such as cloud web applications, and discusses Azure's platform services.
Real-time Analytics for Data-Driven ApplicationsVMware Tanzu
Real-time analytics is important for data-driven applications. Ampool provides an active data store (ADS) that can ingest data in real-time, analyze it using various engines, and serve the results concurrently. This eliminates "data blackout periods" and enables applications to use up-to-date information. Ampool's ADS is powered by Apache Geode and has connectors for ingesting and processing data. It supports both transactional and analytical workloads in memory for low-latency.
Best practices with Microsoft Graph: Making your applications more performant...Microsoft Tech Community
Learn how to take advantage of APIs, platform capabilities and intelligence from Microsoft Graph to make your app more performant, more resilient and more reliable
This document provides an overview of key SAP Basis functions including:
- What the Basis system is and how it handles transaction requests
- Differentiating between work processes like dialog, update, enqueue, batch, and spool
- Understanding the basic SAP system architecture including application and presentation layers, application and database servers, and work processes
- Explaining common Basis administration functions like user administration, client maintenance, transport management, and performance monitoring
Movile Internet Movel SA: A Change of Seasons: A big move to Apache CassandraDataStax Academy
A few years ago, processing large volumes of data was an exclusive problem of big companies. Nowadays, technological advancement allows people to be connected with each other all the time, generating and consuming large amounts of data.
In the challenge to follow Movile's exponential growth and increasing volume of information, we soon realized that traditional relational database and data analysis solutions were no longer a good fit to solve new order issues. Therefore, we present Movile's 'Change Of Seasons', a use case on adopting Apache Cassandra as a solution for critical high-performance distributed systems.
Cassandra Summit 2015 - A Change of SeasonsEiti Kimura
The document summarizes Movile's big move to Apache Cassandra from relational databases for three key systems:
1) The subscription and billing system to improve performance, availability, and scalability.
2) The Kiwi user platform to reduce costs and improve throughput.
3) Distributing shared resources across a Cassandra cluster to improve scalability and reduce hardware costs.
The moves resulted in significant cost savings, throughput increases, and more scalable architectures.
Fitur AppManager - Application Manager ManageEngineFanky Christian
ManageEngine Applications Manager is a solution that monitors IT infrastructure including applications, servers, databases, operating systems, and network services across physical, virtual, and cloud environments. It provides unified monitoring of business infrastructure and diverse applications. Key functions include agentless monitoring of heterogeneous infrastructure, alerts and root cause analysis, reporting, and support for ITIL processes like SLA management. It is available in various product editions for small/medium/enterprise users.
This document discusses the speaker's 8 years of experience using open source platforms for commercial web applications. It provides an overview of projects the speaker developed using various open source technologies like PHP, Java, Firebird, PostgreSQL and others. It also outlines technical and business requirements for commercial web applications and lessons learned, including choosing a minimal but complete set of technologies, considering fewer upgrades, and not adopting new technologies too early. The speaker believes open source can work for commercial projects when adopted in a business-like manner.
The document discusses various topics related to next generation technologies including data warehousing, business intelligence, enterprise applications, and cloud computing. It covers data modeling schemas, reporting dashboards, n-tier application architectures, integration of frameworks like Spring and Hibernate, and the evolution of Java EE technologies over time. Examples of topics are data warehousing that collects and analyzes data from multiple databases, reporting dashboards to extract business insights, and service-oriented architectures that enable cloud computing through web service calls.
The document provides an overview of Apache Kafka. It discusses that Kafka is a distributed streaming platform that allows data to be produced and consumed from partitions in topics in a fault-tolerant and ordered manner. It stores data persistently and processes events sequentially. Producers write messages to partitions which are distributed across brokers, while consumers pull messages from partitions in a consumer group to parallelize processing. Connectors integrate other data systems with Kafka for ETL. Major companies like LinkedIn, Netflix, and Twitter use Kafka for messaging, data replication, and real-time analytics use cases.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
3. Reference Implementation
Logic
5-10 Pages / Table
Jersey
REST Server
Rich Objects
Any
device,
Anywhere!
Jackson
REST
Listener
.
JSON
Handler
Resource
/ Object
Mapping
S
e
c
u
r
i
t
y
I
n
t
e
g
r
i
t
y
Events / Methods
Persistence Framework
SQL
Database
Domain Objects
JPA
(3 Pages / Table)
4. The Problem – Today’s Reality
Sure… a
few
weeks…
We need a
simple mobile
app... spec is
only 1 page
Umm.. I was
thinking a
few hours
5. The Next Generation
Proven Technology
1.
Rest API: Forms
2.
Row/Column Security: Filters
3.
Business logic: Events, Reactive
6. Why Customers Love Espresso Logic
Over 90% time savings
Speed of reactive programming
with the power of JavaScript
Reduced maintenance
Use with any front-end
Reduced documentation
Deploy in Cloud or on premise
7. Use Case – Read Only Access to Data
RESTful
Espresso Servers
Espresso Server
Access Control
Services
8. Use Case – Mobile and Web Applications
RESTful
Espresso
Espresso Server
Server(s)
Access Control
Business Logic
9. Use Case – Complex Enterprise Applications
RESTful
Espresso Servers
Databases
Access Control
Espresso Server
Business Logic
B2B
integration
SOA Services
External
External
Backends
Backends
11. Time to Market, plus…
Issue
Espresso
Documentation
The executable cocktail napkin
Maintenance
Automatic ordering – eliminates the archaeology of maintenance
Quality
Automatic reuse – logic applied to every use case
Performance
Automatic optimization – automatics enterprise design patterns
12. Manufacturing and Capacity Planning Application
Application manages and plans and optimizes factory
operations for a Fortune 1000 company
Inputs
• Orders
• Machines
– Run rate
– Setup time
• ABC code
– Product priority
– Customer priority
Processing
Used to be 9
people full time
using Excel
Now takes 20 to 30
minutes per day
Outputs
• Raw materials
orders
• Factory plan
14. Build a RESTful API
1.
Register your database URL
2.
Select Tables (joins automated)
3.
Optional Alias / Project
15. Security: Row Level Access Control
Espresso or
Corporate
Authentication
Provider
ID, Credentials
Active Server
Authenticate
Roles
Espresso
Logic
Designer
Role/Table
Permission
Filters
Active Server
Authorize
Filters,
injected into requests