ManageEngine announced the launch of RMM Central.
Available immediately, RMM Central helps discover networks, monitor device performance, detect and manage faults, deploy missing patches, enable remote access and provide a complete overview of all hardware and software inventory.
Service providers need to understand their clients' IT networks and automate everyday tasks like adhering to specific security policies, meeting client service-level agreements (SLAs), generating specific reports and managing their billing. However, juggling multiple tools to monitor network performance and manage devices is time-consuming. With network management complexities and security threats increasing exponentially, MSPs need a single solution that can offer high scalability, security, quick setup, easy navigation, holistic features, seamless client onboarding and affordable pricing.
"Having worked with the MSP market for more than 10 years, ManageEngine is committed to this market and understands the demand for a unified IT management solution," said Mathivanan Venkatachalam, VP of ManageEngine. "To meet this demand, we've developed RMM Central by combining the capabilities from different products to offer holistic features, and we plan to launch similar products down the road. Using these solutions, service providers can optimize productivity with operational efficiency and provide exceptional service to their clients."
"RMM Central is an all-powerful, comprehensive IT management companion for MSPs to manage and monitor multiple client accounts, domains and networks from a unified, easy-to-use console," said Boobala Krishnan S, Solutions Delivery Manager at Soft Solutions, a ManageEngine partner based in New Zealand with early access to RMM Central.
With the launch of RMM Central, ManageEngine provides MSPs with a single tool that delivers 360-degree visibility into all managed client networks. RMM Central's highlights include:
- Seamless network performance monitoring: Identify and fix performance issues like faults, alarms and outages before they become significant problems and cause downtime.
- Automated, proactive IT security: Detect and deploy missing patches, make fault management foolproof, customize security policies and implement configurations for each client network to fortify them.
- Centralized asset management: Manage all hardware and software assets, meter software usage, manage software licenses as well as detect and blacklist malicious applications across all managed devices.
- Instant remote troubleshooting: Remotely connect to devices, coordinate with end users on voice and video calls during a troubleshooting session and collaborate with multiple technicians simultaneously to achieve SLAs faster.
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
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 ...