Beyond Monitoring: Check Out These Observability Offerings For The Midmarket
These platforms hit that midmarket sweet spot and incorporate AI observability.
IT system monitoring offerings have been around for decades. However, those offerings didn’t provide much more than log files, tracking, maybe alerting for anomalies.
Observability goes beyond monitoring. “[It] enables the observation and analysis of application health, performance and user experience,” according to market research firm Gartner. These offerings don’t just alert when something goes wrong within IT systems but can help teams understand the “whys” of what went wrong.
Observability isn’t “a single technology” or one defined market, according to Gartner. Instead, it spans many different business operations. Observability can be applied to monitoring cloud infrastructure, endpoints, data, application behavior and now across AI systems.
Here are some midmarket-focused observability offerings and why they are a fit for midmarket organizations.
Cribl
Cribl offers its Cribl Stream, which allows companies to “collect manage and route their observability and security data efficiently,” Cribl said in an emailed statement to MES Computing.
The offering also scales as organizations amass data from applications, infrastructure and security tools.
Cribl Stream can give midmarket organizations enterprise-level observability without the complexity or cost of enterprise-level offerings. The platform also helps with visibility into AI systems.
“For AI infrastructure like GPUs, Cribl can help you collect, store and monitor key metrics like utilization and memory usage to drive decisions around resource optimization. For data from AI inference platforms like OpenAI or Anthropic that produce audit logs and chat logs, Cribl can help organizations enrich and route that data so customers can gain insight on how those platforms are being used within their organization,” Cribl said in its statement.
Dynatrace
Dynatrace’s platform includes infrastructure, application and AI observability.
“Our partners tell us the midmarket wants the same thing as the enterprise: real answers, not just more data,” said Jay Snyder, senior vice president of partners and alliance at Dynatrace, in an emailed statement.
Snyder also touched on the platform’s AI observability.
Dynatrace delivers AI-powered observability that helps organizations understand why things happen, not just what’s happening, giving them the clarity to move fast, stay secure and scale smart, no matter their size,” he said.
LogicMonitor Envision
LogicMonitor, which has traditionally provided IT monitoring, has moved into the more complex observability space with its LM Envision platform.
LM Envision “combines full-stack visibility across hybrid and multi-cloud environments with 3,000-plus integrations and intelligent automation—powered by Edwin AI—to give midmarket organizations Fortune 500-level capabilities without the operational burden,” said Michael Tarbet, global vice president of MSP and channel at LogicMonitor, in an emailed statement.
“From monitoring AI model performance and health to streamlining cloud-to-core visibility and reducing alert noise, LogicMonitor gives teams the clarity, speed and proactive automation they need to stay ahead in a digital-first world,” Tarbet added.
ManageEngine
Midmarket organizations require “robust observability to manage complex, fast-scaling AI environments with limited resources,” said Srinivasa Raghavan Santhanam, director of product management at ManageEngine, in an emailed statement.
For the midmarket, ManageEngine offers its Full-Stack Observability (FSO) platform.
FSO offers a range of observability features including AI-powered insight, unified visibility and automated remediation, Santhanam said.
“Midmarket firms face tight budgets, lean IT teams and rising user expectations. ManageEngine FSO tackles these challenges with its observability that covers all your multi-cloud, containerized and microservices environments, while avoiding expensive overhauls or unexpected costs,” he continued.
Riverbed
Riverbed’s observability offering enables midmarket customers to “transition from reactive to predictive IT operations, quickly and seamlessly,” Richard Tworek, CTO of Riverbed, said in an emailed statement.
The platform includes data observability modules for unified communications applications, network packets and Intel Thunderbolt and Wi-Fi-connected devices.
“We know that midmarket customers want to consolidate observability tools and deploy AI that delivers a meaningful return on investment while feeding their data repositories. This is precisely what we provide. Our customers are running over 64 million Riverbed AI remediations annually and realizing impressive ROI,” Tworek said.
Splunk
Splunk, which was acquired by Cisco in 2024, offers observability, security, and data analytics.
“At Splunk, a Cisco company, we provide observability solutions that are well-suited for mid-market firms that may have on-premises, hybrid, and cloud-native environments and need flexibility to monitor and optimize performance across their entire application landscape. We enable those organizations to more efficiently manage growing telemetry volumes and gain control of their data through our Open Telemetry-native observability solutions,” Patrick Lin, SVP and GM, Observability at Splunk, said in an emailed statement.
“And to support the evolving AI needs of midmarket organizations, our observability portfolio provides visibility into rapidly growing AI stacks and how AI performance issues may impact business, in addition to leveraging AI to accelerate troubleshooting and improve on the resilience of organizations’ infrastructure,” Lin said.
Strata Identity
Strata Identity is not a traditional observability company, but it offers several observability features. Most recently, those are around AI agents.
“Traditional identity systems were never built to handle AI agents. They were designed for human users and static machine identities—not ephemeral, autonomous agents that don’t even exist in a company's identity provider infrastructure,” said Eric Olden, CEO of Strata Identity, in an emailed statement.
The inability to manage and track AI agents creates “a major gap in visibility and control, especially for midmarket enterprises running hybrid environments that span cloud and on-premises systems,” Olden said.
“At Strata, we close that gap. Our identity orchestration platform extends policy-driven access and auditability to AI agents, using the identity infrastructure companies already have,” he added.
Other observability offerings for the midmarket to consider include: