Refactoring
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This document discusses refactoring code to improve structure and design without changing functionality. It lists causes for refactoring such as duplicated code, large methods, and poor class cohesion. It also provides strategies for safely refactoring code through a step-by-step process with checkpoints and change reviews to monitor for errors or unintended effects. The goal of refactoring is to improve code quality, readability, and maintainability.
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By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
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Refactoring
- 1. Refactoring Prepared by YuriySeniuk
- 3. Causes for refactoring Code duplicating; Huge method; Huge or deep loops; Bad class coherency; Bad interface agreement (Interface monster); Too many parameters in method; Too much class’s responsibilities;
- 4. Causes for refactoring It’s necessary to make changes in several classes; It’s necessary to change several hierarchies; It’s necessary to make changes in several case blocks; Coherent data placed not in a class; Method use more parameters from other class than its; Elementary type is overload;
- 5. Causes for refactoring Class has limited functionality; Method gets Tramp data; One class knows too much about another one; Method has unlucky name; Public fields; Inherited class used small dime of base methods; Code Comments; Class contains methods that could be some time;
- 6. Data Refactoring Magic numbers; Unlucky variable name; Temporary variable using; Multiple usage of the same variable; Enum usage; Basic type expansion;
- 7. Operator Refactoring Decomposition of expression; Extract Boolean methods; Immediate exit from method; Polymorphism usage; Dummy objects usage;
- 8. Methods Refactoring Method extraction; Inline method; Class extraction from huge methods; Additional parameters usage; Redundant parameters deletion; Pass whole class instead of several parameters; Return base classes;
- 9. Class Refactoring Value to Reference types replacement; Reference to Value types replacement; Move fields/properties/methods to base class; Move fields/properties/methods to inherited class; Move methods to another class; Split one class to many; Delete useless class; Use extension methods;
- 10. Class Refactoring Replace inheritance to delegating; Replace delegating to inheritance; Data encapsulating; Unite inherited and base class.
- 11. Safe Refactoring Save original code; Make refactoring step-by-step; Create list of actions; Create To-Do list; Create check points; Monitor warnings from compiler; Make change-reviews.
- 12. Bad causes to do refactoring Do not expect refactoring to correct your code; Do not wait for some magic from refactoring.
- 13. Refactoring strategies Use refactoring when you: Create new methods; Create new classes; Fix defects; Create refactoring in bug’s potential code; Create refactoring in complicated modules.
- 15. Q&A ?