James Gough – författare

Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach.In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.With this book, you will:Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacksExamine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarkingUnderstand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environmentsApply emerging observability approaches to obtain deep understanding of cloud native applicationsUse Java language performance techniques including concurrent and distributed forms

Performance tuning is an experimental science, but that doesn''t mean engineers should resort to guesswork and folklore to get the job done. Yet that''s often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach.

In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.

With this book, you will:

Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacksExamine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarkingUnderstand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environmentsApply emerging observability approaches to obtain deep understanding of cloud native applicationsUse Java language performance techniques including concurrent and distributed forms

Performance tuning is an experimental science, but that doesn''t mean engineers should resort to guesswork and folklore to get the job done. Yet that''s often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach.

In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.

With this book, you will:

Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacksExamine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarkingUnderstand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environmentsApply emerging observability approaches to obtain deep understanding of cloud native applicationsUse Java language performance techniques including concurrent and distributed forms

Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company''s services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up.

With this practical book, you''ll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh.

Learn API fundamentals and architectural patterns for building an API platformUse practical examples to understand how to design, build, and test API-based systemsDeploy, operate, and configure key components of an API platformUse API gateways and service meshes appropriately, based on case studiesUnderstand core security and common vulnerabilities in API architectureSecure data and APIs using threat modeling and technologies like OAuth2 and TLSLearn how to evolve existing systems toward API- and cloud-based architectures

Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company''s services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up.

With this practical book, you''ll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh.

Learn API fundamentals and architectural patterns for building an API platformUse practical examples to understand how to design, build, and test API-based systemsDeploy, operate, and configure key components of an API platformUse API gateways and service meshes appropriately, based on case studiesUnderstand core security and common vulnerabilities in API architectureSecure data and APIs using threat modeling and technologies like OAuth2 and TLSLearn how to evolve existing systems toward API- and cloud-based architectures

Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up.With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh.Learn API fundamentals and architectural patterns for building an API platformExplore evolving trends such as asynchronous and streaming APIsHelp drive your API program by performing an informed architectural roleBuild and configure key components of an API platformDeploy gateways and service meshes based on case studiesUnderstand core security and vulnerabilities in API architectureSecure data and services using OAuth 2.0, TLS, and web application firewalls