Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Discover the true value of Developer Relations as you learn to build and maintain positive relationships with your developer community. Use the principles laid out in this book to walk through your company goals and discover how you can formulate a plan tailored to your specific needs. First you will understand the value of a technical community: why you need to foster a community and how to do it. Then you will learn how to be involved in community building on a daily basis: finding the right audience, walking the tightrope between representing the company and building a personal brand, in-person events, and more. Featuring interviews with Developer Relations professionals from many successful companies including Red Hat, Google, Chef, Docker, Mozilla, SparkPost, Heroku, Twilio, CoreOS, and more, and with a foreword by Jono Bacon, The Business Value of Developer Relations is the perfect book for anyone who is working in the tech industry and wants to understand where DevRel is now and how to get involved. Don’t get left behind – join the community today.

Computer architecture. Operating systems --- Open Source --- Docker --- computers

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Provide evidence-based answers that can be measured and relied upon by your business. Database administrators will be able to make sound architectural decisions in a fast-changing landscape of virtualized servers and container-based solutions based on the empirical method presented in this book for answering “what if” questions about database performance. Today’s database administrators face numerous questions such as: What if we consolidate databases using multitenant features? What if we virtualize database servers as Docker containers? What if we deploy the latest in NVMe flash disks to speed up IO access? Do features such as compression, partitioning, and in-memory OLTP earn back their price? What if we move our databases to the cloud? As an administrator, do you know the answers or even how to test the assumptions? Database Benchmarking and Stress Testing introduces you to database benchmarking using industry-standard test suites such as the TCP series of benchmarks, which are the same benchmarks that vendors rely upon. You’ll learn to run these industry-standard benchmarks and collect results to use in answering questions about the performance impact of architectural changes, technology changes, and even down to the brand of database software. You’ll learn to measure performance and predict the specific impact of changes to your environment. You’ll know the limitations of the benchmarks and the crucial difference between benchmarking and workload capture/reply. This book teaches you how to create empirical evidence in support of business and technology decisions. It’s about not guessing when you should be measuring. Empirical testing is scientific testing that delivers measurable results. Begin with a hypothesis about the impact of a possible architecture or technology change. Then run the appropriate benchmarks to gather data and predict whether the change you’re exploring will be beneficial, and by what order of magnitude. Stop guessing. Start measuring. Let Database Benchmarking and Stress Testing show the way. What You'll Learn: Understand the industry-standard database benchmarks, and when each is best used Prepare for a database benchmarking effort so reliable results can be achieved Perform database benchmarking for consolidation, virtualization, and cloud projects Recognize and avoid common mistakes in benchmarking database performance Measure and interpret results in a rational, concise manner for reliable comparisons Choose and provide advice on benchmarking tools based on their pros and cons.

Information systems --- cloud computing --- Docker --- evidence-based methodiek --- database management

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Follow this handbook to build, configure, tune, and secure Apache Cassandra databases. Start with the installation of Cassandra and move on to the creation of a single instance, and then a cluster of Cassandra databases. Cassandra is increasingly a key player in many big data environments, and this book shows you how to use Cassandra with Apache Spark, a popular big data processing framework. Also covered are day-to-day topics of importance such as the backup and recovery of Cassandra databases, using the right compression and compaction strategies, and loading and unloading data. Expert Apache Cassandra Administration provides numerous step-by-step examples starting with the basics of a Cassandra database, and going all the way through backup and recovery, performance optimization, and monitoring and securing the data. The book serves as an authoritative and comprehensive guide to the building and management of simple to complex Cassandra databases. The book: Takes you through building a Cassandra database from installation of the software and creation of a single database, through to complex clusters and data centers Provides numerous examples of actual commands in a real-life Cassandra environment that show how to confidently configure, manage, troubleshoot, and tune Cassandra databases Shows how to use the Cassandra configuration properties to build a highly stable, available, and secure Cassandra database that always operates at peak efficiency What You'll Learn: Install the Cassandra software and create your first database Understand the Cassandra data model, and the internal architecture of a Cassandra database Create your own Cassandra cluster, step-by-step Run a Cassandra cluster on Docker Work with Apache Spark by connecting to a Cassandra database Deploy Cassandra clusters in your data center, or on Amazon EC2 instances Back up and restore mission-critical Cassandra databases Monitor, troubleshoot, and tune production Cassandra databases, and cut your spending on resources such as memory, servers, and storage.

Information systems --- Docker --- Apache (informatica) --- big data --- database management --- gegevensanalyse

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book is about Kubernetes, a container cluster manager. The book discusses all aspects of using Kubernetes in applications. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes. Next, the book discusses using Kubernetes with all major groups of technologies such as relational databases, NoSQL databases, and in the Apache Hadoop ecosystem. The book concludes with using multi container Pods and installing Kubernetes on a multi node cluster. No other book on using Kubernetes - beyond simple introduction - is available in the market. Specifically, you'll learn the following: How to install Kubernetes on a single node How to install Kubernetes on a multi-node cluster How to set environment variables How to create a multi-container pod How to use volumes How to use Kubernetes with Apache Hadoop Ecosystem How to use Kubernetes with NoSQL Databases How to use Kubernetes with RDBMS.

Computer science --- Programming --- Computer architecture. Operating systems --- Docker --- Apache (informatica) --- computers --- programmeren (informatica) --- programmeertalen --- computerkunde

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Learn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker. After an introduction to Containers and Docker you'll be guided through Docker installation and configuration. You'll also learn basic functions and commands used in Docker by running a simple container using Docker commands. The book then moves on to developing a Python based Messaging Bot using required libraries and virtual environment where you'll add Docker Volumes to your project, ensuring your container data is safe. You'll create a database container and link your project to it and finally, bring up the Bot-associated database all at once with Docker Compose. .

Programming --- Computer architecture. Operating systems --- Computer. Automation --- websites --- Python (informatica) --- Docker --- computers --- software engineering