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The white paper "JPA Repositories Chapter; Spring Data eBook Giveaway" is no longer available on Infoq.com; However we invite you to explore the related content below.


Additional content from our sponsors:

  • Why tracing might replace (almost) all logging

    This is a guide about why tracing will gradually replace most logging, at least where distributed or cloud-native architectures are concerned. You'll also learn the importance of structured logging, how logs can hinder instrumenting a microservice, and the right way to solve the logging problem.

  • Production Kubernetes (By O'Reilly) - Download Now

    While many organizations have an existing Kubernetes footprint, far fewer are using it in production, and even less are operating at scale. This book charts the key considerations engineering teams must look at to successfully define a path to production with Kubernetes at enterprise scale.

  • Benchmarking the Cloud: AWS vs. GCP vs. Azure

    The 2021 Cloud Report compares AWS, Azure, and GCP on benchmarks that reflect critical applications and workloads. Read the report to learn which cloud is the most cost efficient, how to evaluate performance tradeoffs, and how to assess the cost/benefit of disks and CPU processors.

  • Forrester Thought Leadership Paper: Building Value Streams with Feature Management Platforms

    Read this paper to learn how testing in production is critical to successful software development, why complexity, silos, and poor cross-team collaboration slow development, and how Feature Management platforms are seen as the key to breaking barriers.

  • [On Demand Webinar] Are You Service Mesh Ready?

    Service mesh adoption is growing rapidly, but adopting a mesh too soon can add complexity. Join this webinar to learn whether you're ready for a service mesh, how to choose a mesh that’s right for your apps, and the importance of a high‑performance Kubernetes application data plane.

  • The Hidden Costs of Cloud Databases

    Before the cloud, calculating the cost of a database was a simple: software costs + hardware costs = database costs. While the cloud has changed how we deploy software, many are still using this outdated calculation. This guide shows you how to think about the true costs of a cloud database.

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