Active Object
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The Active Object design pattern decouples method execution from method invocation to enhance concurrency and simplify synchronized access to an object that resides in its own thread of control. It uses a proxy and servant model where method calls made on the proxy are queued and executed asynchronously by the servant in its own thread. This allows transparent leveraging of parallelism but can complicate debugging due to differences in invocation and execution order.
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The iterator design pattern provides a way to access elements of an aggregate object sequentially without exposing its underlying representation. It hides implementation details and allows for different traversals while separating traversal code from the list itself. The pattern involves an iterator interface with methods like first(), next(), and isDone(), and an aggregate that creates an iterator and returns it. Iterators can be external, controlled by the client, or internal, controlling iteration themselves through anonymous functions or closures.
Iterator
The iterator design pattern provides a way to access elements of an aggregate object sequentially without exposing its underlying representation. It hides implementation details and allows for different traversals while separating traversal code from the list itself. The pattern involves an iterator interface with methods like first(), next(), and isDone(), and an aggregate that creates an iterator and returns it. Iterators can be external, controlled by the client, or internal, controlling iteration themselves through anonymous functions or closures.
Concurrency Patterns
This document discusses concurrency patterns and issues in multi-threaded programming. It introduces common concurrency primitives like threads, mutexes, and condition variables. It describes problems that can occur with race conditions and memory consistency. Several patterns for managing concurrent access are explained, including fully synchronized objects, resource ordering, copy-on-write, partitioning, and lock-free queues. The document cautions that any pattern requiring complex analysis to prove thread-safety may be fragile.
Continuous Integration, Fast Builds and Flot
This document discusses techniques for continuous integration (CI), including:
1. CI involves integrating code changes frequently and automatically through a shared code repository with automated builds and tests. This helps catch errors early and prevents integration issues.
2. As codebases grow larger, builds can slow down, hindering developer productivity and ability to deliver features quickly.
3. Various techniques can help speed up slow builds, such as splitting codebases, using faster hardware, optimizing tests, isolating dependencies, parallelizing builds, and choosing lightweight development containers. Monitoring build times is also important.
Command Pattern
The Command Design Pattern encapsulates requests as objects so that different requests can be handled uniformly. A Command defines an interface for executing an operation but delegates the responsibility of performing the operation to an associated receiver object. This allows requests to be parameterized with different receivers, queued or executed at a later time, and supported by undo/redo operations through command history.
Code Contracts API In .Net
Using the Code Contracts API for design-by-contract in .NET. Code Contracts bring design-by-contract (DbC) to .NET through runtime and static contract checking of preconditions, postconditions, and object invariants. It also extends generated XML documentation. There are some known issues like slow build times and limitations with closures and iterators, but overall it provides an easy way to add design-by-contract principles to .NET code.
LINQ/PLINQ
This document provides an overview of LINQ and PLINQ. It introduces LINQ as a programming model that allows for uniform data manipulation and querying. It discusses various LINQ implementations like LINQ to Objects. The document also covers advanced LINQ concepts like recursive lambda expressions and expression trees. It then introduces PLINQ, explaining that it uses the Task Parallel Library to enable parallel processing. The document demonstrates LINQ basics and PLINQ to show how it can speed up processing by using multiple CPU cores.
Gpu Cuda
CPU architectures are good for serial programs but have slower memory access and thread switching than GPUs. GPU architectures devote most transistors to processing elements for parallel computation on large data sets using shared memory. CUDA provides C extensions for programming GPUs for general purpose processing using a thread hierarchy of blocks and grids. Matrix addition can be accelerated on a GPU using CUDA by assigning each thread to calculate one element. Results show GPU acceleration provides speedups over CPUs for tasks in radio astronomy imaging pipelines.
Facade Pattern
The Facade pattern provides a simplified interface to a more complex subsystem. It defines a higher-level interface that makes the subsystem easier to use. The Facade shields clients from subsystem components by promoting weak coupling between the subsystems and its clients. It encapsulates the subsystem and provides a single point of access to it.
Phani Kumar - Decorator Pattern
The document discusses the Decorator design pattern, which provides a flexible alternative to subclassing by allowing additional responsibilities to be attached to an object dynamically at runtime through the use of wrapper objects known as decorators. It provides an example of using decorators to modify a coffee order by adding condiments like milk and chocolate without exploding the number of classes. The key advantages of the Decorator pattern are that it allows extending functionality without modifying existing classes and supports adding multiple decorators to an object dynamically at runtime. Some disadvantages are that it can result in more smaller classes and increase complexity when instantiating decorated components.
Composite Pattern
The Composite pattern allows clients to treat primitive objects and containers of objects uniformly by composing them into tree structures. It allows clients to treat individual objects and compositions of objects in a uniform manner. The pattern allows clients to recursively compose objects into tree structures to represent part-whole hierarchies.
Adapter Design Pattern
The adapter pattern converts the interface of one class into another interface that clients expect. It allows classes to work together that otherwise could not due to incompatible interfaces. There are two common implementations: class adapter uses inheritance to adapt the interface, while object adapter uses composition by delegating to the adapted class. The adapter pattern is useful for integration work to combine existing classes with mismatched interfaces.
Prototype Design Pattern
The document discusses the Prototype design pattern which specifies the kinds of objects to create using a prototypical instance, and creates new objects by copying this instance. It can avoid building a class hierarchy of factories and is used when loading classes dynamically. Prototype reduces the total number of classes needed and allows adding or removing prototypes at runtime by varying their data or structure.
Factory Method Design Pattern
The Factory Method pattern defines an interface for creating objects but allows subclasses to determine which object class to instantiate. This pattern encapsulates object creation and delegates it to subclasses, allowing classes to be extended without modifying the original code. The document also discusses why design patterns are useful, some strategies for using them like programming to interfaces, and themes and consequences of the Factory Method pattern like increased flexibility and eliminating hard-coded dependencies.
Abstract Factory Design Pattern
The abstract factory pattern provides an interface for creating families of related or dependent objects without specifying their concrete classes. It allows a system to be independent of how its objects are created, composed, and represented. The abstract factory pattern is a creational pattern that allows for multiple types of products to be created through a common interface.
A Little Lisp
John McCarthy created LISP in 1958 as a mathematical notation for computer programs based on lambda calculus. LISP pioneered many concepts still used today like tree data structures, automatic storage management, and self-hosting compilers. It remains influential as one of the earliest functional programming languages.
State Pattern in Flex
The document discusses the state pattern, including:
- Allowing an object to change its behavior based on internal state changes, making it seem like the object is changing classes.
- Client code interacts with the context, which behaves differently depending on its current state.
- States are often singletons to avoid recreating state instances.
- States can access the context via a back pointer or by passing needed data via parameters.
- The state can be changed by client code, state instances, or the context itself.
Extract Composite Talk Andy
The document describes refactoring code using the Composite pattern. Originally, two classes FormTag and LinkTag contained duplicate code for looping through child nodes. This was refactored by creating a common Composite base class with the looping behavior. FormTag and LinkTag were made subclasses of Composite. The child reference and looping method were pulled up from the subclasses to the new Composite class. This removed duplication while preserving the original interface.
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[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
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.
AppSec PNW: Android and iOS Application Security with MobSF
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.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Introduction of Cybersecurity with OSS at Code Europe 2024
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.
Essentials of Automations: Exploring Attributes & Automation Parameters
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.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
Apps Break 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?
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5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Skybuffer SAM4U tool for SAP license adoption
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SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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Senior Data Scientist - JohnSnowLabs
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
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Active Object
- 1. Active Object By R. G. Lavender and D. C. Schmidt. Presented by David Kemp Melbourne Patterns Group
- 4. See code example http://code.google.com/p/davidbkemp-activeobject/
- 6. Example variation: multiple servants