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
In APMdigest's 2025 Predictions Series, industry experts — from analysts and consultants to the top vendors — offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...
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 ...
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...