
Kyndryl and Dynatrace announced a global alliance to provide customers with joint offerings to enhance insights and inform business decisions.
Kyndryl will leverage its end-to-end services, available through Kyndryl Consult, to drive new business value through Dynatrace solutions.
Under the alliance, Kyndryl and Dynatrace will collaborate to provide customers with joint capabilities, including:
- Unified Observability: To support customers' application landscapes by minimizing outages, optimizing resource consumption, improving diagnostic and recovery time and enhancing the user experience.
- Application Modernization: To help customers lessen their risk of system downtime and better support a successful digital transformation through enhanced access to their applications' current composition, behavior and performance.
- Enhanced AIOps: To provide customers with more precise and actionable insights to inform business decisions as well as deliver resource and cost savings by automating low-value manual activities.
Kyndryl will also provide its end-to-end services to Dynatrace customers, including application assessment, building and implementing custom solutions and continuous managed services to provide customers with greater access to real-time monitoring and related cloud-managed services.
"Leadership and success managing mission-critical IT services for many of the world's largest organizations make Kyndryl an ideal partner to bring the Dynatrace observability and security platform to more customers," said Michael Allen, Vice President of Global Partners at Dynatrace. "Together, Dynatrace and Kyndryl provide better solutions and services and deliver more business impact to help our customers accelerate innovation and modernization."
"Kyndryl's strategic alliance with Dynatrace creates more opportunities to provide customers with increased application observability and actionable business insights," said Nicolas Sekkaki, Kyndryl Applications, Data and AI Global Practice Leader. "This alliance further supports our joint customers in simplifying the complexity of application management to keep their most critical business operations running in a cost-effective manner."
Kyndryl and Dynatrace's global alliance builds upon a successful relationship established in 2022 when the companies began working together in Latin America to provide services and solutions to modernize and simplify cloud operations for companies in the region. This led to a successful transformation project with Banco Patagonia in Argentina, where the companies helped the bank gain more visibility and monitoring of its digital channels, allowing faster detection of situations that improve customer experience. The companies also have partnered in Japan and Mexico to improve observability and security and automation of multi-cloud operations for local customers, as well as help accelerate digital transformation projects.
As the alliance evolves, Kyndryl and Dynatrace plan to release additional capabilities focused on unified observability, application modernization and cloud migration, IT service and operations automation, and driving efficiency in a cost-effective manner.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
