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IBM Instana Integrates with IBM Turbonomic

IBM announced the integration of real time observability capabilities of IBM Instana with resource optimization capabilities of IBM Turbonomic.

This integration enables companies to run their critical applications smoothly 24x7 in a cost-effective way, empowering their IT operations to proactively act before problems affect their customers and their baseline.

The integration between Instana and Turbonomic is bi-directional, enabling the exchange of contextual data. Turbonomic uses the Instana REST API to collect information about the environment that Instana is observing such as applications, services, endpoints, virtual machines (VMs), containers, Java VMs, database servers, Kubernetes entities—for example, namespaces, deployments, StatefulSets, and others. The Turbonomic Instana probe is the component that uses the Instana API (Instana API token must be provided). The Turbonomic kubeturbo probe is also required for Turbonomic to correlate the discovered Instana application resources to the Kubernetes infrastructure.

Instana uses the Turbonomic REST API to collect actions related to the environment that Instana is observing. The Instana Turbonomic sensor is the component that uses the Turbonomic API (Turbonomic API token must be provided). Instana collects and stores actions that Turbonomic has executed and actions that Turbonomic currently recommends.

Even though Turbonomic will not create actions for Instana applications, services, or endpoints, it must discover Instana applications so that it can obtain the infrastructure supporting the applications, and then, based on its analysis, create actions for them.

The integration provides the following benefits:

- Reduce cloud waste

- Reduce performance risk

- Reduce MTBF and MTTR

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IBM Instana Integrates with IBM Turbonomic

IBM announced the integration of real time observability capabilities of IBM Instana with resource optimization capabilities of IBM Turbonomic.

This integration enables companies to run their critical applications smoothly 24x7 in a cost-effective way, empowering their IT operations to proactively act before problems affect their customers and their baseline.

The integration between Instana and Turbonomic is bi-directional, enabling the exchange of contextual data. Turbonomic uses the Instana REST API to collect information about the environment that Instana is observing such as applications, services, endpoints, virtual machines (VMs), containers, Java VMs, database servers, Kubernetes entities—for example, namespaces, deployments, StatefulSets, and others. The Turbonomic Instana probe is the component that uses the Instana API (Instana API token must be provided). The Turbonomic kubeturbo probe is also required for Turbonomic to correlate the discovered Instana application resources to the Kubernetes infrastructure.

Instana uses the Turbonomic REST API to collect actions related to the environment that Instana is observing. The Instana Turbonomic sensor is the component that uses the Turbonomic API (Turbonomic API token must be provided). Instana collects and stores actions that Turbonomic has executed and actions that Turbonomic currently recommends.

Even though Turbonomic will not create actions for Instana applications, services, or endpoints, it must discover Instana applications so that it can obtain the infrastructure supporting the applications, and then, based on its analysis, create actions for them.

The integration provides the following benefits:

- Reduce cloud waste

- Reduce performance risk

- Reduce MTBF and MTTR

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In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...

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Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...

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