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Category: Announcement, Developer, Featured, Thought Leadership
GraphQL provides an efficient and flexible approach to query or mutate data off of a Web API. Therefore GraphQL builds on the foundation of HTTP transport, however, instead of using multiple endpoints
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Category: Developer, Thought Leadership
Discover how to do canary testing with Istio and get immediate feedback with Instana. Enabling CI/CD speed while maintaining service quality.
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Category: Featured, Thought Leadership
Deploying new software multiple times a day AND maintaining high quality is a difficult task. Find out how to achieve this goal with consistency.
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Category: Thought Leadership
Learn how the proper caching strategy and implementation can help create more scalable and robust microservice applications. #6 in our blog series on scaling microservice applications.
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Category: Announcement, Developer, Featured, Product, Thought Leadership
With Instana's Pipeline Feedback, the first automatic analysis of application development and deployment pipeline events, correlated directly with application, infrastructure and service performance d
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Quarkus Monitoring Featured Image
Category: Developer, Featured, Thought Leadership
The Quarkus framework, developed by Red Hat, combined with the GraalVM compiler creates natively compiled executables using the Java language. With fast bootup times and small sized executables offers
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Category: Featured, Product, Thought Leadership
Learn how to push Instana events into Humio
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Category: Developer, Featured, Thought Leadership
Learn how effortless it is to detect and collect your custom Micrometer telemetry metrics and include them in Instana's automated Application Performance Management (APM) solution, including automatic
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Category: Announcement, Conceptual, Featured, Thought Leadership
A great company culture is a constant work in progress. At Instana, we always have our core values in mind in everything we do.
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Category: Developer, Featured, Thought Leadership
Kubernetes seems to be everywhere as organizations of all sizes continue to migrate workloads to microservices. How do you break through the black box of Kubernetes to understand how your applications

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