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Category: Engineering
Part 3: Writing a Kubernetes Operator in Java In the previous post of this series, we created an example Quarkus project using the Kubernetes client extension. The example retrieved a

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Category: Engineering
Part 2: Getting Started with the Quarkus Kubernetes Client Extension This is the second Blog post in our series on writing a Kubernetes operator in Java. The first post gave
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Category: Engineering
Part 1: What is a Kubernetes Operator? We recently published the first alpha version of our Instana Agent Operator, built with Quarkus and the upcoming Quarkus Kubernetes Client Extension. In

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Category: Events, Featured
Instana is participating at 3 great industry events this week: QCon NYC, DevOps Enterprise Summit London, and Container Days!
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Category: Events
Did you know there is a Java conference held at a theme park... Apparently we’ve been missing out. Check out our blog to learn more about JavaLand and the 5 reasons you should attend. See you there!
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Category: Events
If you are going to DeveloperWeek in the Bay, get ready for over 100 talks, networking with 8,000 of your closest peers and the opportunity to learn more about Instana's Automatic Application Monitori
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Category: Developer, Featured, Thought Leadership
Distributed tracing is a critical requirement for effective microservices monitoring. You can implement distributed tracing the hard way using open-source tracing implementations or you can take the e
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Category: Developer, Featured, Product
Instana's latest release includes 100% automatic zero-touch instrumentation for Python monitoring and tracing. Seriously - Zero - Touch.
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Category: Developer, Featured, Product
Error messages thrown from user requests can create unique production monitoring challenges. See how Instana's latest capabilities help you troubleshoot user requests that have thrown error messages.
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Category: Developer, Featured, Product
Instana's Application Perspectives makes it easy to test and compare the performance of new client-side application features, helping you know if a new feature is ready for large scale production dep

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