Instana Blog

Author: Chris Engelbert

Product
Custom Dashboards for Infrastructure Metrics provides composable ad-hoc aggregations with multiple dimensions across all technical metrics.
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ARMs AARCH64 on the Rise
Product
ARM64 is poised to become a more prevalent force in workload hosting and delivery. Instana's already there, able to manage applications running on ARM64.
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The 12 Days of Kubernetes (Tools)
Developer, Thought Leadership
Kubernetes is used in many modern systems but managing can be complicated at times. These 12 tools help you simplify your life and max out your k8s management skills.
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When Time Is Of The Essence, You Need Context-Rich Alerts
Announcement, Developer, Product
Instana provides sophisticated alerting options that streamline the resolution process for the on-call person.
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Kubernetes: Resource Contention and Change Risk Assessment
Conceptual, Engineering, Product, Profiling, Thought Leadership
Powered by the automatic discovery and change recognition of system components, Instana has an always up-to-date understanding of the system’s architecture and presents the latest contextual informa
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The Role of Context and Dependencies in Observability
Announcement, Developer, Product, Thought Leadership
When working with distributed systems, challenges are vastly different from the monolithic applications we built in the past. While we learn and love to think in simple terms of our world, the reality
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Achieving Observability in Go
Product
After multiple iterations of the Go wrapper library, we learned a lot on how to provide high-quality, easy-to-use instrumentation for Go. Always keep the code as intact as possible. If there are inter
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Docker Monitoring - Containers and Microservices
Conceptual, Thought Leadership
With Instana there is no need to manually determine which performance degradation in a service is related to resource contention on the host running Docker. Instana automatically determines the relati
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Why you can't sample observability data
Conceptual, Product, Thought Leadership
A guide to approaching java and jvm monitoring using a holistic methodology that includes metrics, distributed traces, and code profiling.
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