A cloud-native managed service provider provides greater flexibility and better margins than traditional MSPs who keep services on premise. But their ITOps teams also need to spend more time and effort on application performance - and still ensure uninterrupted business services and positive user experiences for the customer base.
The technologies that allow organisations to build resilient, elastic and agile new application architectures are in demand. By 2025, Gartner estimates that over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021. Morgan Stanley expects enterprise applications to increase four-fold from 2021 to 2026.
Dismantling silos vs building new ones
Humans are simply unable to process and contextualise data at the current volumes, variety and speed generated by systems. This means that getting actionable insights to accelerate, complement and automate ITOps is a huge ask, even of top-notch service providers. Already unable to keep up with current demands, it is possible that legacy applications and infrastructure in the data centres of larger organisations could actually create new silos, instead of dismantling them.
Even newer tools, like application performance monitoring (APM) platforms, will experience challenges, as they rely on the observability of metrics, events, logs and traces (MELT) to better understand how modern applications are performing.
How can MSPs help?
A cloud-native approach promises more choices, greater flexibility and lower operating costs. But ITOps teams will also need to spend more time and effort to understand application performance while maintaining uninterrupted business services and positive user experiences. MSPs with technologies like ScienceLogic in the background can help customers' ITOps teams and save on their own resources in the meantime, clawing back margin and finding robust revenue streams.
With massive data generation compounding at speed, the platforms that go beyond observability to showcase application and business service performance will be ideal. They will place performance within the context of the organisation’s IT environment. Instead of relying on humans, these platforms will derive insights from leveraging machines. Using cloud-native data as well as traditional systems and infrastructure, they need to deliver a complete, unified understanding of the health of the IT estate. Ultimately, platforms should remove the reliance on humans, using machine-driven insights and automated actions to satisfy expectations and achieve business outcomes.
Cloud-native applications should take priority in the IT estate. With targeted and root cause understanding, observability insights make it possible to see, contextualise and act. MSPs can have clear sight of their customers' business services, whether applications and infrastructure are on-premises, hybrid-cloud deployed, multi-cloud deployed, or cloud-native.
Talk to us if you’re keen to gain targeted insights for less effort and lower costs. With ScienceLogic, there's no more death by data as an MSP in the ITOps space - the future is root-cause insights.
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