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Cherwell Software Integrates with Splunk

Cherwell Software announced Cherwell Service Management (CSM) is now integrated with Splunk Enterprise and Splunk IT Service Intelligence (ITSI), which lets organizations manage and solve service disruptions and provide incident response and remediation.

Splunk technology extends CSM by giving information technology (IT) teams the ability to correlate machine data across an organization, allowing the customer experience to remain intact and an organization’s IT operations to remain unaffected.

Splunk ITSI is a monitoring and analytics solution that uses artificial intelligence or AI to predict and prevent problems before they impact revenue and customer experience. Splunk ITSI allows customers to gain insights across both their IT and business services and applications delivering the business-critical insights and predictions needed to stay ahead of service degradations, resource constraints, and system outages. Splunk can now create incidents directly in Cherwell. As the Cherwell incident progresses through the life cycle, IT teams can more proactively monitor and alert others, improve operational visibility, and provide real-time business insight, while minimizing downtime and its impact when incidents do occur.

“Effective incident response – informed by accurate data – is a vital part of service management across the enterprise,” said Scott Gainey, Cherwell CMO. “This integration enables IT teams to not only observe but to act on useful data and resolve incidents more efficiently and effectively.”

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Cherwell Software Integrates with Splunk

Cherwell Software announced Cherwell Service Management (CSM) is now integrated with Splunk Enterprise and Splunk IT Service Intelligence (ITSI), which lets organizations manage and solve service disruptions and provide incident response and remediation.

Splunk technology extends CSM by giving information technology (IT) teams the ability to correlate machine data across an organization, allowing the customer experience to remain intact and an organization’s IT operations to remain unaffected.

Splunk ITSI is a monitoring and analytics solution that uses artificial intelligence or AI to predict and prevent problems before they impact revenue and customer experience. Splunk ITSI allows customers to gain insights across both their IT and business services and applications delivering the business-critical insights and predictions needed to stay ahead of service degradations, resource constraints, and system outages. Splunk can now create incidents directly in Cherwell. As the Cherwell incident progresses through the life cycle, IT teams can more proactively monitor and alert others, improve operational visibility, and provide real-time business insight, while minimizing downtime and its impact when incidents do occur.

“Effective incident response – informed by accurate data – is a vital part of service management across the enterprise,” said Scott Gainey, Cherwell CMO. “This integration enables IT teams to not only observe but to act on useful data and resolve incidents more efficiently and effectively.”

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...