Navin Sabharwal Livres

Focusing on methodologies and best practices, this guide offers insights into effectively utilizing Google Kubernetes Engine (GKE) for deploying and managing containerized applications. It emphasizes GKE's fully managed environment, making it easier to operate within Google Cloud infrastructure. Readers will gain a clear understanding of how to leverage GKE for optimal performance and efficiency in cloud-based application management.

Follow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow. This book provides an overview of the various cognitive technology choices available and takes a deep dive into cognitive virtual agents for handling complex real-life use cases in various industries such as travel and weather. Youll delve deeper into the advanced features of cognitive virtual assistants implementing features such as input/output context, follow-up intents, actions and parameters, and handling complex multiple intents. Youll learn how to integrate with third-party messaging platforms by integrating your cognitive bot with Facebook messenger. Youll also integrate with third-party APIs to enrich your cognitive bots using webhooks. Cognitive Virtual Assistants Using Google Dialogflow takes the complexity out of the cognitive platform and provides rich guidance which you can use when developing your own cognitive bots. The book covers Google Dialogflow in-depth and starts with the basics, serving as a hands-on guide for developers who are starting out on their journey with Google Dialogflow. All the code presented in the book will be available in the form of scripts and configuration files, which allows you to try out the examples and extend them in interesting ways. You will: Develop cognitive bots with Google Dialogflow technology Use advanced features to handle complex conversation scenarios Enrich the bots conversations by understanding the sentiment of the user See best practices for developing cognitive bots Enhance a cognitive bot by integrating with third-party services

Cloud Capacity Management helps readers in understanding what the cloud, IaaS, PaaS, SaaS are, how they relate to capacity planning and management and which stakeholders are involved in delivering value in the cloud value chain.

Practical Guide to MongoDB: Architecting, Developing, and Administering MongoDB begins with a short introduction to the basics of NoSQL databases and then introduces readers to MongoDBℓ́ℓ Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} the leading document based NoSQL database, acquainting them step-by-step with all aspects of MongoDB.^Practical Guide to MongoDB covers the data model, underlying architecture, coding with Mongo Shell, and administrating the MongoDB platform, among other topics. The book also provides clear guidelines and practical examples for architecting, developing, and deploying applications using the MongoDB platform. Database developers, architects, and administrators will find useful information covering all aspects of the MongoDB platform and how to put it to use practically. The "one-size-fits-all" thinking regarding traditional RDBMSs has been challenged in the last few years by the emergence of diversified NoSQL databases. More than 120 NoSQL databases are now available in the market, and the leader by far is MongoDB. With so many companies opting for MongoDB as their NoSQL database of choice, there's a need for a practical how-to combined with expert advice for getting the most out of the software.^Practical Guide to MongoDB provides readers with: A solid understanding of NoSQL databases An understanding of how to get started with MongoDB Methodical coverage of the architecture, development, and administration of MongoDB A plethora of "How toℓ́ℓs" enabling you to use the technology most efficiently to solve the problems you face

The book provides a comprehensive guide to utilizing Google cloud automation services, focusing on tools like Google Cloud Deployment Manager, Spinnaker, Tekton, and Jenkins. It outlines effective methodologies and best practices for automating the deployment of cloud infrastructure and applications, making it an essential resource for developers and IT professionals looking to enhance their cloud automation skills.

Focusing on container services monitoring, the book introduces methodologies using Prometheus, AppDynamics, and Dynatrace. It starts with foundational concepts of containerization and microservices, highlighting the importance of monitoring technologies. Readers will engage in hands-on deployment and configuration of Prometheus, exploring its capabilities for monitoring availability, performance, and logs. The content also includes advanced topics on extending Prometheus, enabling the development of new use cases and scenarios for effective management of container ecosystems.

Automation through Chef Opscode provides an in-depth understanding of Chef, which is written in Ruby and Erlang for configuration management, cloud infrastructure management, system administration, and network management. Targeted at administrators, consultants, and architect, the book guides them through the advanced features of the tool which are necessary for infrastructure automation, devops automation, and reporting. The book presumes knowledge of Ruby and Erlang which are used as reference languages for creating recipes and cookbooks and as a refresher on them to help the reader get on speed with the flow of book. The book provides step by step instructions on installation and configuration of Chef, usage scenarios of Chef, in infrastructure automation by providing common scenarios like virtual machine provisioning, OS configuration for Windows, Linux, and Unix, provisioning and configuration of web servers like Apache along with popular databases like MySQL. It further elaborates on the creation of recipes, and cookbooks, which help in deployment of servers and applications to any physical, virtual, or cloud location, no matter the size of the infrastructure. The books covers advanced features like LWRPs and Knife and also contains several illustrative sample cookbooks on MySQL, Apache, and CouchDB deployment using a step by step approach.