The document contains slides summarizing key aspects of software engineering processes from the textbook "Software Engineering: A Practitioner's Approach, 5/e". It discusses software engineering as a layered technology involving processes, methods, and tools. It also summarizes common process frameworks, including umbrella activities, and different process models like linear, iterative, incremental, and evolutionary (spiral) models. The slides are intended for educational use alongside the textbook.
This document provides slides summarizing key aspects of software project planning from the textbook "Software Engineering: A Practitioner's Approach". It discusses estimating project scope, effort, risks, schedule, and control strategy. The slides cover topics like understanding customer needs, using past experience and decomposition techniques for estimation, identifying risks, and creating a project plan document. The use of these slides is restricted to university students using the textbook.
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics related to project management, including the four elements of a project (people, product, process, project), factors that influence software project outcomes, common causes of project failure, considerations for structuring a software team, defining the problem scope and functional decomposition, aligning the problem and software development process, essential questions to understand a project, and critical project management practices.
The document is a set of slides about software metrics from the book "Software Engineering: A Practitioner's Approach". It discusses why software processes, projects, and products should be measured, including to characterize, evaluate, predict, and improve. It provides examples of process, project, and product metrics and guidelines for using metrics effectively. Key metrics discussed include lines of code, function points, errors, defects, effort, and cost. The slides emphasize that metrics should be used to facilitate process improvement, not to appraise individuals or teams.
The document discusses operational best practices from the Team Software Process (TSP) and Architecture-Centric Engineering (ACE) approaches, including how TSP builds high-quality self-managed teams through methods like the Personal Software Process (PSP) for estimating and reducing defects, while ACE focuses on architectural analysis and tradeoffs to ensure systems meet quality goals. It also provides an example case study of how a financial organization in Mexico successfully used TSP+ACE to develop a new trading engine on an aggressive schedule while delivering high performance, quality, and reliability.
The document summarizes the Team Software Process (TSP), which is a disciplined engineering practice developed by the Software Engineering Institute to produce reliable software in less time and at lower costs. TSP focuses on improving team performance through self-directed teams, integrated measurements, and quality reviews. Studies have shown that organizations using TSP achieve improvements in schedule, cost, productivity, and quality, including reducing post-release defects by 80% and balancing schedule and cost variances between -20% to 20%. TSP provides training and tools to implement the process over the course of about a month. A growing number of companies and government organizations have adopted TSP.
The document discusses several prescriptive process models for software engineering projects, including the waterfall model, incremental model, RAD (rapid application development) model, evolutionary models like prototyping and the spiral model, and concurrent engineering. It notes both benefits and limitations of each approach, and questions whether prescriptive models can accommodate the need for change in software projects.
The Personal Software Process (PSP) and the Team Software Process (TSP) are process improvement frameworks tailored to produce virtually defect free software and deliver it on time.
The main focus of this speed talk is to state some of the similarities and differences between TSP/PSP and Scrum methodologies as well as some Agile practices. Why was there a need to blend these methods (TSP and Agile)? What were we trying to accomplish, or what was the goal here? The goal was to get the best of the TSP and Agile methods/models so that we could develop high quality products in a predictable and repeatable way to successfully tackle projects that are highly unpredictable, rapidly changing, with unknown final client, among others.
There are a few similarities between both management methods (TSP and SCRUM), as well as some differences. There also seems to be a lot of misunderstandings regarding TSP and this presentation will try to debunk some of them. TSP can be Agile too! – Incremental, iterative and adaptive.
Agile Portugal 2012
23 June 2012
The document discusses key aspects of software and software engineering. It defines software as computer programs, data structures, and documentation. Software is engineered rather than manufactured. The document outlines different types of software applications and discusses characteristics that are important for web applications. It provides definitions of software engineering from seminal and IEEE sources, describing it as the systematic and disciplined development of quality software. The document presents a process framework for software engineering including core activities, umbrella activities, and considerations for adapting process models.
This document provides slides summarizing key aspects of software project planning from the textbook "Software Engineering: A Practitioner's Approach". It discusses estimating project scope, effort, risks, schedule, and control strategy. The slides cover topics like understanding customer needs, using past experience and decomposition techniques for estimation, identifying risks, and creating a project plan document. The use of these slides is restricted to university students using the textbook.
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics related to project management, including the four elements of a project (people, product, process, project), factors that influence software project outcomes, common causes of project failure, considerations for structuring a software team, defining the problem scope and functional decomposition, aligning the problem and software development process, essential questions to understand a project, and critical project management practices.
The document is a set of slides about software metrics from the book "Software Engineering: A Practitioner's Approach". It discusses why software processes, projects, and products should be measured, including to characterize, evaluate, predict, and improve. It provides examples of process, project, and product metrics and guidelines for using metrics effectively. Key metrics discussed include lines of code, function points, errors, defects, effort, and cost. The slides emphasize that metrics should be used to facilitate process improvement, not to appraise individuals or teams.
The document discusses operational best practices from the Team Software Process (TSP) and Architecture-Centric Engineering (ACE) approaches, including how TSP builds high-quality self-managed teams through methods like the Personal Software Process (PSP) for estimating and reducing defects, while ACE focuses on architectural analysis and tradeoffs to ensure systems meet quality goals. It also provides an example case study of how a financial organization in Mexico successfully used TSP+ACE to develop a new trading engine on an aggressive schedule while delivering high performance, quality, and reliability.
The document summarizes the Team Software Process (TSP), which is a disciplined engineering practice developed by the Software Engineering Institute to produce reliable software in less time and at lower costs. TSP focuses on improving team performance through self-directed teams, integrated measurements, and quality reviews. Studies have shown that organizations using TSP achieve improvements in schedule, cost, productivity, and quality, including reducing post-release defects by 80% and balancing schedule and cost variances between -20% to 20%. TSP provides training and tools to implement the process over the course of about a month. A growing number of companies and government organizations have adopted TSP.
The document discusses several prescriptive process models for software engineering projects, including the waterfall model, incremental model, RAD (rapid application development) model, evolutionary models like prototyping and the spiral model, and concurrent engineering. It notes both benefits and limitations of each approach, and questions whether prescriptive models can accommodate the need for change in software projects.
The Personal Software Process (PSP) and the Team Software Process (TSP) are process improvement frameworks tailored to produce virtually defect free software and deliver it on time.
The main focus of this speed talk is to state some of the similarities and differences between TSP/PSP and Scrum methodologies as well as some Agile practices. Why was there a need to blend these methods (TSP and Agile)? What were we trying to accomplish, or what was the goal here? The goal was to get the best of the TSP and Agile methods/models so that we could develop high quality products in a predictable and repeatable way to successfully tackle projects that are highly unpredictable, rapidly changing, with unknown final client, among others.
There are a few similarities between both management methods (TSP and SCRUM), as well as some differences. There also seems to be a lot of misunderstandings regarding TSP and this presentation will try to debunk some of them. TSP can be Agile too! – Incremental, iterative and adaptive.
Agile Portugal 2012
23 June 2012
The document discusses key aspects of software and software engineering. It defines software as computer programs, data structures, and documentation. Software is engineered rather than manufactured. The document outlines different types of software applications and discusses characteristics that are important for web applications. It provides definitions of software engineering from seminal and IEEE sources, describing it as the systematic and disciplined development of quality software. The document presents a process framework for software engineering including core activities, umbrella activities, and considerations for adapting process models.
This document discusses key aspects of software and software engineering. It describes software's dual role as both a product that transforms information and a vehicle for delivering other products. It outlines different types of software applications and compares hardware and software. The document discusses challenges in software manufacturing versus development. It also summarizes several "laws" of software evolution and common software myths that can lead to bad decisions if believed.
An ERP implementation project involves many complex phases and challenges to manage. The key phases include planning, gap analysis, configuration, testing, training, and post-implementation support. Some of the top challenges include the large project size, staffing issues, risk management, and organizational politics. Successful ERP implementations require strong executive support, focused project management, thorough testing and training, and change management to address resistance to the new system.
Based on our experience in introducing Scrum in large organizations we developed Scrum Readiness Checklist combining most important success factors, as well as troubleshooting guide for common problems.
Software Prototyping in Software Engineering SE8koolkampus
Prototyping involves rapidly developing an initial version of a system to validate requirements and gain user feedback. There are two main approaches - evolutionary prototyping iteratively develops prototypes into the final system, while throw-away prototyping discards the prototype after validating requirements. Rapid prototyping techniques include using high-level languages, database programming, and component reuse to quickly develop prototypes for review before final development. User interface prototyping is especially important as interfaces cannot be fully specified upfront.
1. The document outlines 9 lab assignments related to software engineering processes and techniques. The assignments cover topics like software development models, requirements specification, effort estimation, risk analysis, project scheduling, system modeling, testing, and configuration management.
2. Each assignment includes objectives, references, prerequisites, overview of relevant concepts, expected outputs, and post-lab discussion questions.
3. The assignments are designed to familiarize students with key phases of the software development lifecycle through hands-on practice of process models, documentation, analysis, design, testing and project management methods.
Introduction,Software Process Models, Project Managementswatisinghal
The document discusses different types of software processes and models used in software engineering. It defines software and differentiates it from programs. It then explains key concepts in software engineering including the waterfall model, prototyping model, incremental/iterative model, and spiral model. For each model it provides an overview and discusses their advantages and limitations.
The document discusses software construction and coding. It defines software construction as the implementation and coding phase of software development, including debugging and some testing. Good programming practices like consistent formatting, naming conventions and defensive coding are recommended. Software inspections are presented as a static method to find defects by reviewing requirements, design and source code documents. The benefits of reuse like increased dependability and reduced costs are also outlined.
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics related to project management, including the four elements of a project (people, product, process, project), factors that influence software project outcomes, common causes of project failure, considerations for structuring a software team, defining the problem scope and functional decomposition, aligning the problem and software development process, essential questions to understand a project, and critical project management practices.
The document contains slides from supplementary materials for a software engineering textbook. The slides discuss what software is, noting it is a set of programs, documents, and data that form a configuration. They also discuss that software is engineered, complex, and can deteriorate over time like an aging factory. The slides cover the high costs of changes to software after release and provide examples of different types of software applications. In summary, the slides supplement a textbook by defining software and discussing challenges such as complexity, deterioration over time, and the high costs of changes.
basic and brief but informative knowledge about what basically MRI is ...
easy to understand as well as presenting during lectures and in classes . share it
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics like system engineering, business process engineering, information strategy planning, business area analysis, requirements engineering, and the relationships between different levels of analysis and design in engineering systems and software. The materials are copyrighted and intended solely for use alongside the textbook in an educational setting.
The document contains slides summarizing key aspects of software project planning from the textbook "Software Engineering: A Practitioner's Approach". It discusses establishing a project plan to control, track, and monitor a software project. The main steps of project planning covered are scoping the project, estimating effort and schedule, identifying risks, creating a schedule, and defining a control strategy. Estimation techniques discussed include past experience, task breakdowns, size metrics like lines of code and function points, and tool-based methods. The slides also cover risk analysis, the make-buy decision process, and computing expected costs.
The document discusses metrics for software engineering processes, projects, and products. It explains that process metrics focus on quality achieved through a repeatable process, project metrics measure effort and tasks, and product metrics evaluate deliverables. The document provides examples of typical size-oriented and function-oriented metrics, and how to normalize metrics and compute function points by analyzing an information domain and accounting for complexity. The purpose of metrics is to characterize, evaluate, predict, and improve processes, projects, and products.
The document contains slides from supplementary materials for a software engineering textbook. The slides discuss key aspects of software engineering processes, including a layered technology approach involving processes, methods, and tools. They also describe a common process framework involving umbrella activities like management, reviews, and quality assurance applied across project activities. Finally, the slides note the adaptability of process models based on project characteristics and emphasize high quality through reducing rework.
The document contains slides from supplementary materials for a software engineering textbook. The slides discuss what software is, noting it is a set of programs, documents, and data that form a configuration. They also discuss that software is engineered, complex, and can deteriorate over time like an aging factory. The slides cover the high costs of changes to software after release and provide examples of different types of software applications. In summary, the slides supplement a textbook by defining software and discussing challenges such as complexity, deterioration over time, and the high costs of changes.
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics like system engineering, business process engineering, information strategy planning, business area analysis, requirements engineering, and the relationships between different levels of analysis and design in engineering systems and software. The materials are copyrighted and intended solely for use alongside the textbook in an educational setting.
The document discusses risk management in software engineering projects. It describes reactive risk management where risks are addressed after they occur versus proactive risk management where formal risk analysis is performed upfront. It then outlines the risk management paradigm of identifying, analyzing, planning, tracking, controlling risks. Several examples of project risks are provided relating to product size, business impact, customers, process maturity, and technology.
The document discusses various prescriptive process models for software engineering including the waterfall model, incremental model, RAD model, evolutionary prototyping model, spiral model, concurrent model, and unified process model. It provides diagrams illustrating the phases and workflows of each model.
The document discusses software quality assurance (SQA) and outlines various SQA activities including quality control, quality assurance, reviews, inspections, testing, measurement, and reporting. It describes the role of an SQA group in preparing SQA plans, auditing work products, and ensuring compliance. The document also discusses why SQA pays off by reducing defects, and outlines different review types and how to conduct effective reviews.
The document discusses systems engineering and business process engineering. It describes business process engineering as using procedures, methods and tools to identify how information systems can meet strategic goals by focusing first on the enterprise and then specific business areas. It creates models including enterprise models, data models, and process models to create a framework for better information management, distribution, and control. It also discusses information strategy planning, business area analysis, and requirements engineering as parts of the systems engineering process.
This document discusses key aspects of software and software engineering. It describes software's dual role as both a product that transforms information and a vehicle for delivering other products. It outlines different types of software applications and compares hardware and software. The document discusses challenges in software manufacturing versus development. It also summarizes several "laws" of software evolution and common software myths that can lead to bad decisions if believed.
An ERP implementation project involves many complex phases and challenges to manage. The key phases include planning, gap analysis, configuration, testing, training, and post-implementation support. Some of the top challenges include the large project size, staffing issues, risk management, and organizational politics. Successful ERP implementations require strong executive support, focused project management, thorough testing and training, and change management to address resistance to the new system.
Based on our experience in introducing Scrum in large organizations we developed Scrum Readiness Checklist combining most important success factors, as well as troubleshooting guide for common problems.
Software Prototyping in Software Engineering SE8koolkampus
Prototyping involves rapidly developing an initial version of a system to validate requirements and gain user feedback. There are two main approaches - evolutionary prototyping iteratively develops prototypes into the final system, while throw-away prototyping discards the prototype after validating requirements. Rapid prototyping techniques include using high-level languages, database programming, and component reuse to quickly develop prototypes for review before final development. User interface prototyping is especially important as interfaces cannot be fully specified upfront.
1. The document outlines 9 lab assignments related to software engineering processes and techniques. The assignments cover topics like software development models, requirements specification, effort estimation, risk analysis, project scheduling, system modeling, testing, and configuration management.
2. Each assignment includes objectives, references, prerequisites, overview of relevant concepts, expected outputs, and post-lab discussion questions.
3. The assignments are designed to familiarize students with key phases of the software development lifecycle through hands-on practice of process models, documentation, analysis, design, testing and project management methods.
Introduction,Software Process Models, Project Managementswatisinghal
The document discusses different types of software processes and models used in software engineering. It defines software and differentiates it from programs. It then explains key concepts in software engineering including the waterfall model, prototyping model, incremental/iterative model, and spiral model. For each model it provides an overview and discusses their advantages and limitations.
The document discusses software construction and coding. It defines software construction as the implementation and coding phase of software development, including debugging and some testing. Good programming practices like consistent formatting, naming conventions and defensive coding are recommended. Software inspections are presented as a static method to find defects by reviewing requirements, design and source code documents. The benefits of reuse like increased dependability and reduced costs are also outlined.
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics related to project management, including the four elements of a project (people, product, process, project), factors that influence software project outcomes, common causes of project failure, considerations for structuring a software team, defining the problem scope and functional decomposition, aligning the problem and software development process, essential questions to understand a project, and critical project management practices.
The document contains slides from supplementary materials for a software engineering textbook. The slides discuss what software is, noting it is a set of programs, documents, and data that form a configuration. They also discuss that software is engineered, complex, and can deteriorate over time like an aging factory. The slides cover the high costs of changes to software after release and provide examples of different types of software applications. In summary, the slides supplement a textbook by defining software and discussing challenges such as complexity, deterioration over time, and the high costs of changes.
basic and brief but informative knowledge about what basically MRI is ...
easy to understand as well as presenting during lectures and in classes . share it
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics like system engineering, business process engineering, information strategy planning, business area analysis, requirements engineering, and the relationships between different levels of analysis and design in engineering systems and software. The materials are copyrighted and intended solely for use alongside the textbook in an educational setting.
The document contains slides summarizing key aspects of software project planning from the textbook "Software Engineering: A Practitioner's Approach". It discusses establishing a project plan to control, track, and monitor a software project. The main steps of project planning covered are scoping the project, estimating effort and schedule, identifying risks, creating a schedule, and defining a control strategy. Estimation techniques discussed include past experience, task breakdowns, size metrics like lines of code and function points, and tool-based methods. The slides also cover risk analysis, the make-buy decision process, and computing expected costs.
The document discusses metrics for software engineering processes, projects, and products. It explains that process metrics focus on quality achieved through a repeatable process, project metrics measure effort and tasks, and product metrics evaluate deliverables. The document provides examples of typical size-oriented and function-oriented metrics, and how to normalize metrics and compute function points by analyzing an information domain and accounting for complexity. The purpose of metrics is to characterize, evaluate, predict, and improve processes, projects, and products.
The document contains slides from supplementary materials for a software engineering textbook. The slides discuss key aspects of software engineering processes, including a layered technology approach involving processes, methods, and tools. They also describe a common process framework involving umbrella activities like management, reviews, and quality assurance applied across project activities. Finally, the slides note the adaptability of process models based on project characteristics and emphasize high quality through reducing rework.
The document contains slides from supplementary materials for a software engineering textbook. The slides discuss what software is, noting it is a set of programs, documents, and data that form a configuration. They also discuss that software is engineered, complex, and can deteriorate over time like an aging factory. The slides cover the high costs of changes to software after release and provide examples of different types of software applications. In summary, the slides supplement a textbook by defining software and discussing challenges such as complexity, deterioration over time, and the high costs of changes.
The document contains slides from supplementary materials for a software engineering textbook. The slides cover topics like system engineering, business process engineering, information strategy planning, business area analysis, requirements engineering, and the relationships between different levels of analysis and design in engineering systems and software. The materials are copyrighted and intended solely for use alongside the textbook in an educational setting.
The document discusses risk management in software engineering projects. It describes reactive risk management where risks are addressed after they occur versus proactive risk management where formal risk analysis is performed upfront. It then outlines the risk management paradigm of identifying, analyzing, planning, tracking, controlling risks. Several examples of project risks are provided relating to product size, business impact, customers, process maturity, and technology.
The document discusses various prescriptive process models for software engineering including the waterfall model, incremental model, RAD model, evolutionary prototyping model, spiral model, concurrent model, and unified process model. It provides diagrams illustrating the phases and workflows of each model.
The document discusses software quality assurance (SQA) and outlines various SQA activities including quality control, quality assurance, reviews, inspections, testing, measurement, and reporting. It describes the role of an SQA group in preparing SQA plans, auditing work products, and ensuring compliance. The document also discusses why SQA pays off by reducing defects, and outlines different review types and how to conduct effective reviews.
The document discusses systems engineering and business process engineering. It describes business process engineering as using procedures, methods and tools to identify how information systems can meet strategic goals by focusing first on the enterprise and then specific business areas. It creates models including enterprise models, data models, and process models to create a framework for better information management, distribution, and control. It also discusses information strategy planning, business area analysis, and requirements engineering as parts of the systems engineering process.
The document discusses software engineering and defines software as instructions, data structures, and documents that provide desired functions when executed on a computer. It notes that software is engineered rather than physical, does not wear out in the way hardware does, and is complex and custom-built for specific uses. The document also outlines different types of software applications and common myths about software development.
The document discusses software engineering and defines software as instructions, data structures, and documents that provide desired functions when executed on a computer. It notes that software is engineered rather than physical, does not wear out in the way hardware does, and is complex and custom-built for specific uses. The document also outlines different types of software applications and common myths about software development.
The document discusses project scheduling and tracking in software engineering. It describes several common reasons why projects fall behind schedule, including unrealistic deadlines, changing requirements, underestimating effort needed, and unforeseen risks or technical difficulties. It also outlines some key principles for effective scheduling like defining tasks and dependencies, assigning responsibilities, and establishing milestones. Finally, it notes the typical allocation of effort across project phases, with 40-50% for front-end work, 30-40% for construction, and 15-20% for testing and installation.
This document summarizes and compares several agile software development methodologies, including Extreme Programming (XP), Adaptive Software Development (ASD), Dynamic Systems Development Method (DSDM), and Scrum. It outlines the key principles and processes of each methodology, such as XP's emphasis on iterative development, testing, and refactoring. Charts and diagrams are provided to illustrate the methodologies' life cycles and processes.
The document discusses risk management in software engineering projects. It describes reactive risk management, where risks are addressed after they occur, and proactive risk management, where formal risk analysis is performed. The document provides questions to help identify potential risks related to product size, business impact, customers, process maturity, technology, staff, and more. It also discusses building a risk table to assess risks based on probability and impact, and developing risk mitigation, monitoring and management plans.
The document discusses risk management in software engineering projects. It describes reactive risk management where risks are addressed after they occur versus proactive risk management where formal risk analysis is performed upfront. It outlines seven principles for effective risk management including maintaining a global perspective, encouraging open communication, and emphasizing a continuous process. The document also discusses different aspects of risk management like risk identification, assessment, projection and mitigation strategies.
The document discusses risk management in software engineering projects. It describes reactive risk management where risks are addressed after they occur versus proactive risk management where formal risk analysis is performed upfront. It outlines seven principles for effective risk management including maintaining a global perspective, encouraging open communication, and emphasizing a continuous process. The document also discusses different aspects of risk management like risk identification, assessment, projection and mitigation strategies.
The document discusses various aspects of risk management for software engineering projects. It describes reactive risk management where risks are addressed after they occur versus proactive risk management where formal risk analysis is performed upfront. It outlines seven principles for effective risk management including maintaining a global perspective, encouraging open communication, and emphasizing a continuous process. The document also discusses different aspects of risk management such as risk identification, assessment, projection, and mitigation strategies.
The document discusses software engineering and the challenges of developing software. It defines software as instructions, data structures, and documentation that provide desired functions and performance without wearing out. Unlike hardware, software is complex, custom-built, and engineered. The document notes common software types and myths about development. It also outlines the increasing costs of changes during development stages and questions around ensuring quality, meeting demands, upgrading aging software, avoiding delays, and adopting new technologies.
This document discusses metrics that can be used to measure software processes and projects. It begins by explaining why measurement is important for assessing project status, tracking risks, finding problem areas, and improving processes. It then provides examples of different types of metrics that can be measured, including process metrics related to quality, productivity, and reuse, as well as project metrics related to inputs, outputs, results, effort, defects, and size. Guidelines are also given for establishing an effective metrics program.
The document contains slides from supplementary materials for a software engineering textbook. It discusses definitions of software, different types of software applications, challenges with legacy software, and concepts around software evolution. It also lists "laws" of software evolution and notes that software myths can lead to bad decisions if not grounded in reality. The slides are copyrighted and intended solely for use alongside the textbook.
The document contains slides from supplementary materials for a software engineering textbook. It discusses definitions of software, different types of software applications, challenges with legacy software, and concepts around software evolution. It also lists "laws" of software evolution and notes that software myths can lead to bad decisions if not grounded in reality. The slides are copyrighted and intended solely for use alongside the textbook.
The document contains slides from supplementary materials for a software engineering textbook. It discusses definitions of software, different types of software applications, challenges with legacy software, and concepts around software evolution. It also lists "laws" of software evolution and notes that software myths can lead to bad decisions if not grounded in reality. The slides are copyrighted and intended solely for educational use with the textbook.
This document discusses key concepts for managing software projects and engineering teams. It covers the four elements of projects (people, product, process, project), stakeholders, team structures, communication methods, defining the product scope, decomposing problems, selecting a development process, and practices for successful projects. The overall focus is on planning teams, work, and coordination to deliver quality software on time and on budget.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
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).
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
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.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
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.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
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.