ScaleOps vs Jira Service Management
Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $130M Series C at $800M valuation in March 2026; customers including Adobe, Salesforce, DocuSign, and Wiz report up to 80% Kubernetes cloud cost reductions via autonomous real-time resource optimization.
About
ScaleOps is an autonomous cloud resource optimization platform that uses AI to continuously right-size and orchestrate Kubernetes workloads and AI infrastructure without requiring manual configuration. Founded to address the chronic problem of cloud waste and performance degradation in dynamic containerized environments, ScaleOps deploys AI agents that observe workload behavior in real time, predict resource needs, and automatically adjust CPU, memory, and GPU allocations to maximize efficiency and reliability simultaneously. The company's core insight is that static resource configurations are inherently suboptimal in environments where workload patterns change constantly.\n\nScaleOps integrates with Kubernetes-native infrastructure and extends to AI/ML workloads running on GPU clusters, making it particularly valuable as enterprises scale their AI training and inference pipelines alongside traditional application workloads. The platform operates autonomously—reducing the toil on platform engineering teams who would otherwise spend significant time manually tuning resource requests and limits. Key differentiators include zero-disruption optimization, support for heterogeneous workloads, and AI-driven anomaly detection that prevents resource contention before it impacts performance.\n\nIn March 2026, ScaleOps raised a $130M Series C at an $800M valuation, with customers including Adobe, Wiz, DocuSign, and Salesforce—a marquee roster that validates the platform's enterprise readiness. These customers represent organizations running complex, high-volume Kubernetes environments where even small efficiency gains translate to millions in cloud savings. ScaleOps sits at the intersection of FinOps and AI infrastructure optimization, a category that grows more strategically important as cloud AI spending accelerates.
Atlassian ITSM platform (NASDAQ: TEAM, $5.46B TTM revenue, +19.51%) serving 83% Fortune 500; Rovo AI teammate and Jira unification at Team '24 competing with ServiceNow for DevOps-aligned IT service management.
About
Jira Service Management (JSM) is a cloud IT service management (ITSM) platform developed by Atlassian Corporation (NASDAQ: TEAM) — parent company reporting $5.46 billion in revenue for the twelve months ending September 2025 (+19.51% year-over-year) with a $71 billion market capitalization, serving 300,000+ customers including 83% of the Fortune 500 — providing IT, service desk, and operations teams with incident management, change management, problem management, service catalog, and asset management capabilities built on Atlassian's Jira platform with 98% customer retention. At Team '24 (2024), Atlassian merged Jira Software and Jira Work Management into a unified "Jira" product, and introduced Rovo — an AI teammate providing intelligent search, chat, and automation across the Atlassian platform. JSM competes in the ITSM market by leveraging Atlassian's developer platform ubiquity: 10+ million developers already using Jira for software projects creates a natural expansion path into ITSM for the same enterprise. Founded 2002 by Mike Cannon-Brookes and Scott Farquhar in Sydney, Australia; NASDAQ IPO 2015.
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