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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

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...