New features in Akka 2.0
Akka is a right abstraction with actors for concurrent, fault-tolerant and scalable applicationsFor Fault-Tolerance uses “let it crash” model abstraction for transparent distribution for the load.
The document summarizes an upcoming talk on asynchronous and reactive programming in F#. The talk will cover:
1) Event-based and reactive programming using F# events and combinators like map, filter, and merge to compose events.
2) Asynchronous workflows in F# using let! bindings to run asynchronous code in a synchronous-looking manner.
3) How to handle exceptions, cancellation, and parallelism when using asynchronous workflows.
Puppet At Twitter - Puppet Camp Silicon ValleyPuppet
This document provides an overview of Puppet's workflow and infrastructure at Twitter. It discusses their use of version control, code review, style guides, ENC, Puppet masters, modules, and agent workflow. The key branches are head for development, testing for deployments, and production which hosts 99% of systems. Changes are cherry-picked through the branches after code review.
The document discusses dependency injection and different approaches for implementing it such as using factories, service locators, setter injection and constructor injection with annotations. It explains the benefits of dependency injection such as separation of concerns, encouraging component-based design, and making code easier to test and maintain. Popular frameworks that support dependency injection are also listed, including Spring, Java EE, JBoss Seam, and Google Guice. The document provides a brief overview of the Spring and Google Guice frameworks and includes a code example demonstrating dependency injection with Google Guice.
This document discusses new features in Eclipse 4 for developers, including using CSS in RCP applications, modeling the workbench and renderer with services, dependency injection with annotations instead of overriding classes, using the event broker for communication between components, and a compatibility layer for migrating Eclipse 3 plug-ins to Eclipse 4.
This document contains PowerShell code to modify the email addresses of linked mailboxes in Exchange. It imports the Exchange module, clears variables, defines credentials and log file paths, gets an array of all linked mailboxes, and then uses a for loop to iterate through each mailbox object and call Set-ADUser to update the email address attribute of each corresponding user object in Active Directory.
This document discusses web game design and the ElectroServer API for multiplayer games. It explains how to connect to the server, handle login and logout events, update user and room variables, and send private messages. The main steps are to create an ElectroServer instance, add event listeners, set the protocol, and handle connection, login, and messaging requests and events. Private messages are sent by creating a PrivateMessageRequest object populated with usernames and message and sent to the server.
This document discusses the Service Fabric reliable actor model. It begins by explaining the origins of the actor model in computer science and how it relates to concurrency and message passing. It then describes how Service Fabric implements the reliable actor pattern, including how actors are represented as .NET/Java classes, have reliable state storage, and lifecycle management. The document discusses architecture details like the actor service and runtime. It also covers topics like partitioning, concurrency handling, reentrancy, reminders, and when to use the actor model.
Event sourcing captures all changes to application state as a sequence of events. These events are persisted in an event log and can be replayed to recover application state where as Eventuate is a toolkit for building applications composed of event-driven and event-sourced services that communicate via causally ordered event streams.
The document summarizes an upcoming talk on asynchronous and reactive programming in F#. The talk will cover:
1) Event-based and reactive programming using F# events and combinators like map, filter, and merge to compose events.
2) Asynchronous workflows in F# using let! bindings to run asynchronous code in a synchronous-looking manner.
3) How to handle exceptions, cancellation, and parallelism when using asynchronous workflows.
Puppet At Twitter - Puppet Camp Silicon ValleyPuppet
This document provides an overview of Puppet's workflow and infrastructure at Twitter. It discusses their use of version control, code review, style guides, ENC, Puppet masters, modules, and agent workflow. The key branches are head for development, testing for deployments, and production which hosts 99% of systems. Changes are cherry-picked through the branches after code review.
The document discusses dependency injection and different approaches for implementing it such as using factories, service locators, setter injection and constructor injection with annotations. It explains the benefits of dependency injection such as separation of concerns, encouraging component-based design, and making code easier to test and maintain. Popular frameworks that support dependency injection are also listed, including Spring, Java EE, JBoss Seam, and Google Guice. The document provides a brief overview of the Spring and Google Guice frameworks and includes a code example demonstrating dependency injection with Google Guice.
This document discusses new features in Eclipse 4 for developers, including using CSS in RCP applications, modeling the workbench and renderer with services, dependency injection with annotations instead of overriding classes, using the event broker for communication between components, and a compatibility layer for migrating Eclipse 3 plug-ins to Eclipse 4.
This document contains PowerShell code to modify the email addresses of linked mailboxes in Exchange. It imports the Exchange module, clears variables, defines credentials and log file paths, gets an array of all linked mailboxes, and then uses a for loop to iterate through each mailbox object and call Set-ADUser to update the email address attribute of each corresponding user object in Active Directory.
This document discusses web game design and the ElectroServer API for multiplayer games. It explains how to connect to the server, handle login and logout events, update user and room variables, and send private messages. The main steps are to create an ElectroServer instance, add event listeners, set the protocol, and handle connection, login, and messaging requests and events. Private messages are sent by creating a PrivateMessageRequest object populated with usernames and message and sent to the server.
This document discusses the Service Fabric reliable actor model. It begins by explaining the origins of the actor model in computer science and how it relates to concurrency and message passing. It then describes how Service Fabric implements the reliable actor pattern, including how actors are represented as .NET/Java classes, have reliable state storage, and lifecycle management. The document discusses architecture details like the actor service and runtime. It also covers topics like partitioning, concurrency handling, reentrancy, reminders, and when to use the actor model.
Event sourcing captures all changes to application state as a sequence of events. These events are persisted in an event log and can be replayed to recover application state where as Eventuate is a toolkit for building applications composed of event-driven and event-sourced services that communicate via causally ordered event streams.
Akka is a toolkit for building highly concurrent, distributed, and fault-tolerant applications on the JVM. It provides actors as the core abstraction for developing such applications, with actors encapsulating state and behavior and communicating asynchronously by message passing. Akka applications are built around message-driven actors that can send and receive messages, and whose state changes are confined within the actor model. This makes Akka applications inherently scalable, fault-tolerant and self-healing.
Message-based communication patterns in distributed Akka applicationsAndrii Lashchenko
The document discusses various message-based communication patterns in Akka distributed applications, including tell, ask, pipeTo, and composing futures. It provides code examples of actor implementations demonstrating these patterns and how to handle responses, failures, timeouts, and combining multiple futures. The tell pattern is fire-and-forget messaging. The ask pattern uses a future to represent a possible response. PipeTo pipes a future to the original sender. Examples show how to handle successful, failed, and delayed futures through composing and combining them.
The document provides an introduction to Akka, a toolkit for building highly concurrent, distributed, and resilient message-driven applications using the actor model on the JVM, describing how Akka implements the actor model with additional features and modules for clustering, remoting, streams, and more.
Actors testing is different from what you are used to. First, you have messages instead of calls, second, you have to deal with concurrency and all the consequences that it brings with it:
* Thread.sleeps in tests;
* Flakiness;
* Green on laptop / red on jenkins;
* Missed test cases.
Fortunately Akka provides a TestKit which helps to avoid all these things when used properly. Let's take out and inspect tools from this kit and learn couple of useful patterns.
Akka is a toolkit for building highly concurrent, distributed, and fault-tolerant applications on the JVM. It provides actors as the fundamental unit of concurrency. Actors receive messages asynchronously and process them one at a time by applying behaviors. Akka uses a supervision hierarchy where actors monitor child actors and handle failures through configurable strategies like restart or stop. This provides clean separation of processing and error handling compared to traditional approaches.
Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
This slides is for my lecture in #zconf 2016. I introduced actor model and some features provided in Akka.
In this presentation, John A. De Goes looks at several concurrency and scalability problems similar to the ones all programmers have to face, and shows how purely functional solutions written using Scalaz 8 are shorter, faster, easier to test, and easier to understand than competing solutions written using Akka actors. Discover how functional programming can be your secret superpower when it comes to quickly building bullet-proof business applications!
Akka provides tools for building concurrent, scalable and fault-tolerant systems using the actor model. The key tools provided by Akka include actors for concurrency, agents for shared state, dispatchers for work distribution, and supervision hierarchies for fault handling. Akka actors simplify concurrency through message passing and isolation, and provide tools for scaling and distributing actors across nodes for increased throughput and fault tolerance.
This document summarizes a presentation about scaling web applications with Akka. It discusses how Akka uses an actor model of computation with message passing between lightweight processes to enable safe concurrency. Key features of Akka that help with scaling include fault tolerance through supervision, flexible dispatch strategies to leverage multiple cores, and support for NoSQL databases through pluggable storage backends. The presentation provides code examples of implementing actors in Akka and other frameworks and concludes by taking questions about Akka.
During the talk, we will build a simple web app using Lift and then introduce Akka ( http://akkasource.org) to help scale it. Specifically, we will demonstrate Remote Actors, "Let it crash" fail over, and Dispatcher. Other Scala oriented tools we will use include sbt and ENSIME mode for emacs.
Networks and types - the future of AkkaJohan Andrén
The document discusses Akka Typed Actors and Akka Streams. It provides an example of a typed actor implementation of a burglar alarm system and how it can be distributed across multiple nodes in an Akka cluster. It also discusses how Akka Streams allows data to flow asynchronously between nodes over a network using concepts like sources, sinks and flows and how stream references allow streams to connect across actor systems.
The document discusses reactive application patterns and principles. It describes how Akka actors can be used to build message-driven, resilient, elastic, and responsive applications. It provides an example of using Play, Akka Cluster Sharding to build a reactive user management system that is horizontally scalable and always available.
This document discusses using reactive programming with Scala and Akka to build distributed, concurrent systems. It describes using the actor model and message passing between actors to develop scalable and resilient applications. Key points covered include using actors to build a web scraping system, handling failures through supervision strategies, and testing actor systems.
Akka 2.0 allows actors to be distributed across multiple nodes in a cluster in a transparent manner. It introduces new concepts like actor addresses and deployment configurations. The clustering functionality leverages ZooKeeper for distributed coordination and stores serialized actor factories. This allows actors to be dynamically created, migrated, and replicated across nodes for fault tolerance and load balancing. Composable futures also allow combining results from multiple asynchronous messages.
Reactive Programming in .Net - actorbased computing with Akka.NetSören Stelzer
Im Entwickler-Alltag finden wir uns oft in Situationen wieder in denen wir mit parallelen, nebenläufigen Systemen kämpfen. Hier kann Actorbased Programming helfen dieser Herr zu werden. Akka.Net, welches sich selbst als „toolkit and runtime for building highly concurrent, distributed, and fault tolerant event-driven applications“ bezeichnet erlaubt es Entwicklern dieses Paradigma für sich zu nutzen.Akka.Net ist eine Portierung des von Typesafe entwickelten Actor-Framework.In der Java/Scala Welt hat es bereits einen durchschlagenden Erfolg. Akka.Net bietet nun diese Möglichkeiten für .Net-Entwickler.Im Wesentlichen soll der Vortrag auf die Basics des Actorbased Computings eingehen, sowie Parallelen zu verwandten Thematiken wie Agentbased Computing und verwandten Design-Patterns herstellen.An kleinen abstrakten Szenarien wird das Framework und eine minimale Anwendung eines Actor-Systems vorgestellt. Zum Abschluss ist geplant nochmals auf die essentielle Kommunikationspattern eingegangen.
Managing State & HTTP Requests In Ionic.Knoldus Inc.
Ionic is a complete open-source SDK for hybrid mobile app development created by Max Lynch, Ben Sperry, and Adam Bradley of Drifty Co. in 2013.The original version was released in 2013 and built on top of AngularJS and Apache Cordova. However, the latest release was re-built as a set of Web Components using StencilJS, allowing the user to choose any user interface framework, such as Angular, React or Vue.js. It also allows the use of Ionic components with no user interface framework at all.[4] Ionic provides tools and services for developing hybrid mobile, desktop, and progressive web apps based on modern web development technologies and practices, using Web technologies like CSS, HTML5, and Sass. In particular, mobile apps can be built with these Web technologies and then distributed through native app stores to be installed on devices by utilizing Cordova or Capacitor.
Facilitation Skills - When to Use and Why.pptxKnoldus Inc.
In this session, we will discuss the world of Agile methodologies and how facilitation plays a crucial role in optimizing collaboration, communication, and productivity within Scrum teams. We'll dive into the key facets of effective facilitation and how it can transform sprint planning, daily stand-ups, sprint reviews, and retrospectives. The participants will gain valuable insights into the art of choosing the right facilitation techniques for specific scenarios, aligning with Agile values and principles. We'll explore the "why" behind each technique, emphasizing the importance of adaptability and responsiveness in the ever-evolving Agile landscape. Overall, this session will help participants better understand the significance of facilitation in Agile and how it can enhance the team's productivity and communication.
Akka is a toolkit for building highly concurrent, distributed, and fault-tolerant applications on the JVM. It provides actors as the core abstraction for developing such applications, with actors encapsulating state and behavior and communicating asynchronously by message passing. Akka applications are built around message-driven actors that can send and receive messages, and whose state changes are confined within the actor model. This makes Akka applications inherently scalable, fault-tolerant and self-healing.
Message-based communication patterns in distributed Akka applicationsAndrii Lashchenko
The document discusses various message-based communication patterns in Akka distributed applications, including tell, ask, pipeTo, and composing futures. It provides code examples of actor implementations demonstrating these patterns and how to handle responses, failures, timeouts, and combining multiple futures. The tell pattern is fire-and-forget messaging. The ask pattern uses a future to represent a possible response. PipeTo pipes a future to the original sender. Examples show how to handle successful, failed, and delayed futures through composing and combining them.
The document provides an introduction to Akka, a toolkit for building highly concurrent, distributed, and resilient message-driven applications using the actor model on the JVM, describing how Akka implements the actor model with additional features and modules for clustering, remoting, streams, and more.
Actors testing is different from what you are used to. First, you have messages instead of calls, second, you have to deal with concurrency and all the consequences that it brings with it:
* Thread.sleeps in tests;
* Flakiness;
* Green on laptop / red on jenkins;
* Missed test cases.
Fortunately Akka provides a TestKit which helps to avoid all these things when used properly. Let's take out and inspect tools from this kit and learn couple of useful patterns.
Akka is a toolkit for building highly concurrent, distributed, and fault-tolerant applications on the JVM. It provides actors as the fundamental unit of concurrency. Actors receive messages asynchronously and process them one at a time by applying behaviors. Akka uses a supervision hierarchy where actors monitor child actors and handle failures through configurable strategies like restart or stop. This provides clean separation of processing and error handling compared to traditional approaches.
Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
This slides is for my lecture in #zconf 2016. I introduced actor model and some features provided in Akka.
In this presentation, John A. De Goes looks at several concurrency and scalability problems similar to the ones all programmers have to face, and shows how purely functional solutions written using Scalaz 8 are shorter, faster, easier to test, and easier to understand than competing solutions written using Akka actors. Discover how functional programming can be your secret superpower when it comes to quickly building bullet-proof business applications!
Akka provides tools for building concurrent, scalable and fault-tolerant systems using the actor model. The key tools provided by Akka include actors for concurrency, agents for shared state, dispatchers for work distribution, and supervision hierarchies for fault handling. Akka actors simplify concurrency through message passing and isolation, and provide tools for scaling and distributing actors across nodes for increased throughput and fault tolerance.
This document summarizes a presentation about scaling web applications with Akka. It discusses how Akka uses an actor model of computation with message passing between lightweight processes to enable safe concurrency. Key features of Akka that help with scaling include fault tolerance through supervision, flexible dispatch strategies to leverage multiple cores, and support for NoSQL databases through pluggable storage backends. The presentation provides code examples of implementing actors in Akka and other frameworks and concludes by taking questions about Akka.
During the talk, we will build a simple web app using Lift and then introduce Akka ( http://akkasource.org) to help scale it. Specifically, we will demonstrate Remote Actors, "Let it crash" fail over, and Dispatcher. Other Scala oriented tools we will use include sbt and ENSIME mode for emacs.
Networks and types - the future of AkkaJohan Andrén
The document discusses Akka Typed Actors and Akka Streams. It provides an example of a typed actor implementation of a burglar alarm system and how it can be distributed across multiple nodes in an Akka cluster. It also discusses how Akka Streams allows data to flow asynchronously between nodes over a network using concepts like sources, sinks and flows and how stream references allow streams to connect across actor systems.
The document discusses reactive application patterns and principles. It describes how Akka actors can be used to build message-driven, resilient, elastic, and responsive applications. It provides an example of using Play, Akka Cluster Sharding to build a reactive user management system that is horizontally scalable and always available.
This document discusses using reactive programming with Scala and Akka to build distributed, concurrent systems. It describes using the actor model and message passing between actors to develop scalable and resilient applications. Key points covered include using actors to build a web scraping system, handling failures through supervision strategies, and testing actor systems.
Akka 2.0 allows actors to be distributed across multiple nodes in a cluster in a transparent manner. It introduces new concepts like actor addresses and deployment configurations. The clustering functionality leverages ZooKeeper for distributed coordination and stores serialized actor factories. This allows actors to be dynamically created, migrated, and replicated across nodes for fault tolerance and load balancing. Composable futures also allow combining results from multiple asynchronous messages.
Reactive Programming in .Net - actorbased computing with Akka.NetSören Stelzer
Im Entwickler-Alltag finden wir uns oft in Situationen wieder in denen wir mit parallelen, nebenläufigen Systemen kämpfen. Hier kann Actorbased Programming helfen dieser Herr zu werden. Akka.Net, welches sich selbst als „toolkit and runtime for building highly concurrent, distributed, and fault tolerant event-driven applications“ bezeichnet erlaubt es Entwicklern dieses Paradigma für sich zu nutzen.Akka.Net ist eine Portierung des von Typesafe entwickelten Actor-Framework.In der Java/Scala Welt hat es bereits einen durchschlagenden Erfolg. Akka.Net bietet nun diese Möglichkeiten für .Net-Entwickler.Im Wesentlichen soll der Vortrag auf die Basics des Actorbased Computings eingehen, sowie Parallelen zu verwandten Thematiken wie Agentbased Computing und verwandten Design-Patterns herstellen.An kleinen abstrakten Szenarien wird das Framework und eine minimale Anwendung eines Actor-Systems vorgestellt. Zum Abschluss ist geplant nochmals auf die essentielle Kommunikationspattern eingegangen.
Managing State & HTTP Requests In Ionic.Knoldus Inc.
Ionic is a complete open-source SDK for hybrid mobile app development created by Max Lynch, Ben Sperry, and Adam Bradley of Drifty Co. in 2013.The original version was released in 2013 and built on top of AngularJS and Apache Cordova. However, the latest release was re-built as a set of Web Components using StencilJS, allowing the user to choose any user interface framework, such as Angular, React or Vue.js. It also allows the use of Ionic components with no user interface framework at all.[4] Ionic provides tools and services for developing hybrid mobile, desktop, and progressive web apps based on modern web development technologies and practices, using Web technologies like CSS, HTML5, and Sass. In particular, mobile apps can be built with these Web technologies and then distributed through native app stores to be installed on devices by utilizing Cordova or Capacitor.
Facilitation Skills - When to Use and Why.pptxKnoldus Inc.
In this session, we will discuss the world of Agile methodologies and how facilitation plays a crucial role in optimizing collaboration, communication, and productivity within Scrum teams. We'll dive into the key facets of effective facilitation and how it can transform sprint planning, daily stand-ups, sprint reviews, and retrospectives. The participants will gain valuable insights into the art of choosing the right facilitation techniques for specific scenarios, aligning with Agile values and principles. We'll explore the "why" behind each technique, emphasizing the importance of adaptability and responsiveness in the ever-evolving Agile landscape. Overall, this session will help participants better understand the significance of facilitation in Agile and how it can enhance the team's productivity and communication.
Performance Testing at Scale Techniques for High-Volume ServicesKnoldus Inc.
Delve into advanced techniques for conducting performance testing at scale, aiming to simulate high-volume services and fortify applications against heavy loads. Uncover strategic approaches to optimize test scenarios, ensuring thorough evaluation and robustness in the face of increased demand. Explore methodologies that go beyond conventional testing practices, addressing the complexities associated with large-scale performance evaluations.
Snowflake and its features (Presentation)Knoldus Inc.
In this session, we will explore the groundbreaking features that make Snowflake a leader in cloud-based data warehousing, transforming the way organizations manage and analyze data. We will also explore Snowflake's multi-cluster, shared data architecture that enables simultaneous data access by multiple compute clusters, enabling efficient and parallelized data processing. We will explore Snowflake's various capabilities like its zero-copy cloning feature, Security and governance are paramount in Snowflake, with features such as encryption, multi-factor authentication, and granular access controls. Snowflake's global data replication ensures data availability and resilience by allowing replication across different regions. Lastly, we will also take a look at Snowflake's integrations with popular business intelligence tools and analytics solutions that streamline workflows, making it easy for organizations to incorporate Snowflake into their existing processes.
Terratest - Automation testing of infrastructureKnoldus Inc.
TerraTest is a testing framework specifically designed for testing infrastructure code written with HashiCorp's Terraform. It helps validate that your Terraform configurations create the desired infrastructure, and it can be used for both unit testing and integration testing.
Getting Started with Apache Spark (Scala)Knoldus Inc.
In this session, we are going to cover Apache Spark, the architecture of Apache Spark, Data Lineage, Direct Acyclic Graph(DAG), and many more concepts. Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Secure practices with dot net services.pptxKnoldus Inc.
Securing .NET services is paramount for protecting applications and data. Employing encryption, strong authentication, and adherence to best coding practices ensures resilience against potential threats, enhancing overall cybersecurity posture.
Distributed Cache with dot microservicesKnoldus Inc.
A distributed cache is a cache shared by multiple app servers, typically maintained as an external service to the app servers that access it. A distributed cache can improve the performance and scalability of an ASP.NET Core app, especially when the app is hosted by a cloud service or a server farm. Here we will look into implementation of Distributed Caching Strategy with Redis in Microservices Architecture focusing on cache synchronization, eviction policies, and cache consistency.
Introduction to gRPC Presentation (Java)Knoldus Inc.
gRPC, which stands for Remote Procedure Call, is an open-source framework developed by Google. It is designed for building efficient and scalable distributed systems. gRPC enables communication between client and server applications by defining a set of services and message types using Protocol Buffers (protobuf) as the interface definition language. gRPC provides a way for applications to call methods on a remote server as if they were local procedures, making it a powerful tool for building distributed and microservices-based architectures.
Using InfluxDB for real-time monitoring in JmeterKnoldus Inc.
Explore the integration of InfluxDB with JMeter for real-time performance monitoring. This session will cover setting up InfluxDB to capture JMeter metrics, configuring JMeter to send data to InfluxDB, and visualizing the results using Grafana. Learn how to leverage this powerful combination to gain real-time insights into your application's performance, enabling proactive issue detection and faster resolution.
Intoduction to KubeVela Presentation (DevOps)Knoldus Inc.
KubeVela is an open-source platform for modern application delivery and operation on Kubernetes. It is designed to simplify the deployment and management of applications in a Kubernetes environment. KubeVela is a modern software delivery platform that makes deploying and operating applications across today's hybrid, multi-cloud environments easier, faster and more reliable. KubeVela is infrastructure agnostic, programmable, yet most importantly, application-centric. It allows you to build powerful software, and deliver them anywhere!
Stakeholder Management (Project Management) PresentationKnoldus Inc.
A stakeholder is someone who has an interest in or who is affected by your project and its outcome. This may include both internal and external entities such as the members of the project team, project sponsors, executives, customers, suppliers, partners and the government. Stakeholder management is the process of managing the expectations and the requirements of these stakeholders.
Introduction To Kaniko (DevOps) PresentationKnoldus Inc.
Kaniko is an open-source tool developed by Google that enables building container images from a Dockerfile inside a Kubernetes cluster without requiring a Docker daemon. Kaniko executes each command in the Dockerfile in the user space using an executor image, which runs inside a container, such as a Kubernetes pod. This allows building container images in environments where the user doesn’t have root access, like a Kubernetes cluster.
Efficient Test Environments with Infrastructure as Code (IaC)Knoldus Inc.
In the rapidly evolving landscape of software development, the need for efficient and scalable test environments has become more critical than ever. This session, "Streamlining Development: Unlocking Efficiency through Infrastructure as Code (IaC) in Test Environments," is designed to provide an in-depth exploration of how leveraging IaC can revolutionize your testing processes and enhance overall development productivity.
Exploring Terramate DevOps (Presentation)Knoldus Inc.
Terramate is a code generator and orchestrator for Terraform that enhances Terraform's capabilities by adding features such as code generation, stacks, orchestration, change detection, globals, and more . It's primarily designed to help manage Terraform code at scale more efficiently . Terramate is particularly useful for managing multiple Terraform stacks, providing support for change detection and code generation 2. It allows you to create relationships between stacks to improve your understanding and control over your infrastructure . One of the key features of Terramate is its ability to detect changes at both the stack and module level. This capability allows you to identify which stacks and resources have been altered and selectively determine where you should execute commands.
Clean Code in Test Automation Differentiating Between the Good and the BadKnoldus Inc.
This session focuses on the principles of writing clean, maintainable, and efficient code in the context of test automation. The session will highlight the characteristics that distinguish good test automation code from bad, ultimately leading to more reliable and scalable testing frameworks.
Integrating AI Capabilities in Test AutomationKnoldus Inc.
Explore the integration of artificial intelligence in test automation. Understand how AI can enhance test planning, execution, and analysis, leading to more efficient and reliable testing processes. Explore the cutting-edge integration of Artificial Intelligence (AI) capabilities in Test Automation, a transformative approach shaping the future of software testing. This session will delve into practical applications, benefits, and considerations associated with infusing AI into test automation workflows.
State Management with NGXS in Angular.pptxKnoldus Inc.
NGXS is a state management pattern and library for Angular. NGXS acts as a single source of truth for your application's state - providing simple rules for predictable state mutations. In this session we will go through the main for components of NGXS -Store, Actions, State, and Select.
Authentication in Svelte using cookies.pptxKnoldus Inc.
Svelte streamlines authentication with cookies, offering a secure and seamless user experience. Effortlessly manage sessions by storing tokens in cookies, ensuring persistent logins. With Svelte's simplicity, implement robust authentication mechanisms, enhancing user security and interaction.
OAuth2 Implementation Presentation (Java)Knoldus Inc.
The OAuth 2.0 authorization framework is a protocol that allows a user to grant a third-party web site or application access to the user's protected resources, without necessarily revealing their long-term credentials or even their identity. It is commonly used in scenarios such as user authentication in web and mobile applications and enables a more secure and user-friendly authorization process.
"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.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
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?
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
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.
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
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.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
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.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
"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.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
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.
2. Akka 2.0
Akka name comes from Sami mythology is actually
name of a goddess of wisdom and beauty.
Akka incidentally means sister in Telugu!!
3. The Problem
It is way too hard to build
=> correct highly concurrent systems
=> truly scalable systems
=> self-healing, fault-tolerant systems
4. What is Akka?
Right abstraction with actors for concurrent, fault-tolerant
and scalable applications
For Fault-Tolerance uses “let it crash” model
Abstraction for transparent distribution for load
5. Introducing Actors
Actor is an entity encapsulating behavior, state and a
mailbox to receive messages
For a message received by Actor a thread is allocated to it
Then Actors behavior is applied to the message and
potentially some state is changed or messages is passed to
other Actors
6. Introducing Actors..
There is elasticity between message processing and addition
of new messages. New messages can be added while actor
execution is happening.
When processing of messages is completed thread is
deallocated from the actor. It can be reallocated a thread at
a later time
12. My First Actor
import akka.actor.{ Actor, Props }
class MyFirstActor extends Actor {
def receive = {
case msg => println("Hello!!")
}
}
13. Create Actors
import akka.actor.{ ActorSystem, Props }
val system = ActorSystem("firstApp")
val myFirstActor =
system.actorOf(Props[MyFirstActor])
MyFirstActor is an ActorRef
Create a top level actor
27. Actor Path
val actorRef =
system.actorFor("akka://actorPathApp/user/pa
rent/child")
val parent = context.actorFor("..")
val sibling = context.actorFor("../sibling")
val refPath = actorRef.path
28. Supervision
class Supervisor extends Actor {
override val supervisorStrategy =
OneForOneStrategy(maxNrOfRetries = 10,
withinTimeRange = 1 minute) {
case _: ArithmeticException => Resume
case _: NullPointerException => Restart
case _: IllegalArgumentException => Stop
case _: Exception => Escalate
}
}
29. Manage Failure
class FaultTolerantService extends Actor {
def receive = {
case msg => println(msg)
}
override def preRestart(reason: Throwable, message: Option[Any]) = {
// clean up before restart
}
override def postRestart(reason: Throwable) = {
// init after restart
}
}