API Holdings to Deploy IBM Instana For Digital Health Tech Stack
API Holdings Limited, the parent company of leading digital healthcare brands like PharmEasy, Thyrocare, and Retailio, has partnered with IBM on Wednesday to leverage AI-driven automated observability for managing its application stack. This collaboration, powered by IBM Instana, will enable API to proactively monitor its complex microservices architecture, enhancing healthcare service delivery and accelerating the launch of new services. With IBM Instana’s full-stack, real-time observability, API is now able to detect incidents quickly, perform accelerated root cause analysis, and continuously optimise performance across its consumer and enterprise applications. This initiative has led to a 30% reduction in Mean Time to Resolution (MTTR), improved developer productivity, and established a scalable foundation for future growth of API’s application ecosystem. “IBM Instana has become our command center for incident management – intuitive, developer-friendly, and powerful. From real-time alerts to precise root cause analysis, it plays a central role in maintaining our application uptime ultimately enhancing customer trust. A high confidence on application monitoring and uptime has made more time for our Tech teams to innovate and perform higher value work like rapidly launching new services on its platforms,” Vivek Kumar Singh, vice president of engineering at API mentioned. IBM Instana is deployed across three of API’s key businesses—PharmEasy, Thyrocare, and Retailio—monitoring a diverse range of mission-critical applications.“ Our work with API exemplifies how having insights-driven visibility of application and infrastructure environments can enable healthcare businesses to drive productivity, innovate at pace, stay resilient, and continually deliver value to customers,” Viswanath Ramaswamy, vice president of technology at IBM India & South Asia said.
This initiative has led to a 30% reduction in Mean Time to Resolution (MTTR), improved developer productivity, and established a scalable foundation for future growth of API’s application ecosystem.
This initiative has led to a 30% reduction in Mean Time to Resolution (MTTR), improved developer productivity, and established a scalable foundation for future growth of API's application ecosystem.
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["AI", "RAG", "microservices", "R", "Rust", "Scala", "Git", "API", "ViT", "programming_languages:R"]
Shalini is a senior tech journalist, exploring the latest advancements in AI. When she's not reporting on the latest innovations, you can find her immersed in her next literary adventure.