ManageEngine announced the launch of Endpoint Central MSP Cloud, which brings the advantages of the cloud’s scalability, flexibility, and efficiency to the remote monitoring and management (RMM) of endpoints for managed service providers (MSPs). The launch also completes the first stage of the company’s vision for a unified platform for MSPs. MSPs need a holistic solution for remotely monitoring and managing clients' desktops, servers, laptops and mobile devices from a central location. However, on-premises solutions come with scalability constraints and increased upfront expenses, hampering business growth. Shifting to a cloud solution offers MSPs the flexibility to scale up their resources as needed, ensuring IT costs align with their actual needs. "This cloud release enables service providers to focus on addressing their clients' IT challenges and growing their businesses without the worry of operational complexities," said Mathivanan Venkatachalam, vice president of ManageEngine. "Endpoint Central MSP Cloud delivers RMM capabilities for endpoints, enabling MSPs to automate everyday management and security tasks and allowing them to be available to help clients with their real-time requirements." Highlights of Endpoint Central MSP Cloud include: - Extensive support for devices and operating systems. - A single agent for a wide range of capabilities across device management, security and compliance. - Integral remote access and troubleshooting without the need for additional setup or agents. - Extensive third-party patch automation across varied device types and environments. - Strong third-party integrations and a vast API ecosystem to promote interoperability with MSPs’ existing technology stacks. "With Endpoint Central MSP, ManageEngine has enabled us to manage multiple customers and their numerous endpoints with only a small IT team," said Per Bendixen, senior IT consultant at RelateIT. "And as our company continues to expand, we’re eager to further streamline our operations with Endpoint Central MSP Cloud." In today's digital-first business environment, MSPs build their own tech stack consisting of a range of specialized tools from various vendors to effectively manage, maintain and secure their clients' IT infrastructures, and to optimize and run their own operations. This not only increases the total cost of ownership, but also the complexity, forcing MSPs to juggle between multiple tools and bear with weak integrations. "We have built a diverse ecosystem of solutions catering to the varied needs of MSPs, including for identity and access management, RMM and professional service automation, and we plan on bringing all of them to the cloud," said Venkatachalam. "With this release, we are on the brink of delivering a single cloud platform that will enable these solutions to work together seamlessly, eliminating integration headaches and empowering MSPs to maximize their revenues with minimal effort and investment." Endpoint Central MSP Cloud is available immediately. Pricing starts at $2 per device, per month. A free, one-year license to manage 250 devices is available. The free license offer extends to customers who migrate from the on-premises version of Endpoint Central MSP.
The Latest
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...
Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...
Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...
As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...
For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...
I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...
Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...