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Podcasts
Jobin Kuruvilla, Jobin Kuruvilla
JIRA provides issue tracking and project tracking for software development teams to improve code quality and the speed of development.This book is your one-stop resource to master JIRA extension and customization. You will learn how to create your own JIRA plugins, customize the look and feel of your JIRA UI, work with Workflows, Issues, Custom Fields, and much more.The book starts with recipes on simplifying the Plugin development process followed by a complete chapter dedicated to the Plugin Framework to master Plugins in JIRA.Then we will move on to writing custom field plugins to create new field types or custom searchers. We then learn how to program and customize Workflows to transform JIRA into a user-friendly system. Reporting support in an application like JIRA is inevitable! With so much data spanning across different projects, issues, etc and a lot of project planning done on it, we will cover how to work on reports and gadgets to get customized data according to our needs.We will then look at customizing the various searching aspects of JIRA such as JQL, searching in plugins, managing filters, and so on. Then the book steers towards programming Issues, i.e. creating/editing/deleting issues, creating new issue operations, managing the various other operations available on issues via the JIRA APIs etc. In the latter half of the book, you will learn how to customize JIRA by adding new tabs, menus, and web items, communicate with JIRA via the REST, SOAP or XML/RPC interfaces, and work with the JIRA database.The book ends with a chapter on useful and general JIRA recipes.
Building AI Intensive Python Applications. Create intelligent apps with LLMs and vector databases
Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, ...
The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance.By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.
MEAN Blueprints. Unlock the power of the MEAN stack by creating attractive and real-world projects
The MEAN stack is a combination of the most popular web development frameworks available—MongoDB, Angular, Express, and Node.js used together to offer a powerful and comprehensive full stack web development solution. It is the modern day web dev alternative to the old LAMP stack. It works by allowing AngularJS to handle the front end, and selecting Mongo, Express, and Node to handle the back-end development, which makes increasing sense to forward-thinking web developers. The MEAN stack is great if you want to prototype complex web applications.This book will enable you to build a better foundation for your AngularJS apps. Each chapter covers a complete, single, advanced end-to-end project. You’ll learn how to build complex real-life applications with the MEAN stack and few more advanced projects. You will become familiar with WebSockets and build real-time web applications, as well as create auto-destructing entities. Later, we will combine server-side rendering techniques with a single page application approach. You’ll build a fun project and see how to work with monetary data in Mongo. You will also find out how to a build real-time e-commerce application.By the end of this book, you will be a lot more confident in developing real-time, complex web applications using the MEAN stack.
Adrian Ostrowski, Piotr Gaczkowski
Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use, but there are architectural concepts and patterns that you can learn to write high-performance apps in a high-level language without sacrificing readability and maintainability. If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends, then move on to understanding what software architecture actually is and start exploring its components. Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, you will get an overview of distributed systems, such as service-oriented architecture, microservices, and cloud-native, and understand how to apply them in application development.By the end of this book, you'll be able to build distributed services using modern C++ and associated tools to deliver solutions as per your clients' requirements.
The Complete Kubernetes Guide. Become an expert in container management with the power of Kubernetes
Jonathan Baier, Gigi Sayfan, Jesse White
If you are running a number of containers and want to be able to automate the way they’re managed, it can be helpful to have Kubernetes at your disposal. This Learning Path guides you through core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You'll get started by learning how to integrate your build pipeline and deployments in a Kubernetes cluster. As you cover more chapters in the Learning Path, you'll get up to speed with orchestrating updates behind the scenes, avoiding downtime on your cluster, and dealing with underlying cloud provider instability in your cluster. With the help of real-world use cases, you'll also explore options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you'll gain insights into custom resource development and utilization in automation and maintenance workflows.By the end of this Learning Path, you'll have the expertise you need to progress from an intermediate to an advanced level of understanding Kubernetes.This Learning Path includes content from the following Packt products:• Getting Started with Kubernetes - Third Edition by Jonathan Baier and Jesse White• Mastering Kubernetes - Second Edition by Gigi Sayfan
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you’ll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it’s running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processes