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Döcker, Richard

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Start defining your infrastructure using Docker Compose and leverage it for everyday development or deployment Key Features Distribute your code in an easier way for developers to get started Set up complex infrastructure for development and CI/CD purposes Deploy simple multi-container applications using Docker Compose Book Description Software development is becoming increasingly complex due to the various software components used. Applications need to be packaged with software components to facilitate their operations, making it complicated to run them. With Docker Compose, a single command can set up your application and the needed dependencies. This book starts with an overview of Docker Compose and its usage and then shows how to create an application. You will also get to grips with the fundamentals of Docker volumes and network, along with Compose commands, their purpose, and use cases. Next, you will set up databases for daily usage using Compose and, leveraging Docker networking, you will establish communication between microservices. You will also run entire stacks locally on Compose, simulate production environments, and enhance CI/CD jobs using Docker Compose. Later chapters will show you how to benefit from Docker Compose for production deployments, provision infrastructure on public clouds such as AWS and Azure, and wrap up with Compose deployments on said infrastructure. By the end of this book, you will have learned how to effectively utilize Docker Compose for day-to-day development. What you will learn Create multi-container applications using Docker Compose Use Docker Compose for daily development Connect microservices leveraging Docker network fundamentals Add monitoring to services leveraging Prometheus Deploy to production using Docker Compose Translate Compose files to Kubernetes deployments Who this book is for This book is for software engineers, developer advocates, and DevOps engineers looking to set up multi-container Docker applications using Compose without the need to set up a Docker orchestration engine. It is also for team leads looking to increase the productivity of an organization's software teams by streamlining the provisioning of complex development environments locally using Docker Compose. Readers are expected to understand containerization and must possess fundamental Docker knowledge to get started with this book.

Application software --- Development. --- Docker (Computer file)

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Computer science --- Programming --- Python (informatica) --- Docker --- computers --- webdesign --- programmeertalen --- computerkunde

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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

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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