Server Management Software

Devices that are offline are shown as unhealthy on the dashboard which I would prefer to not be included in the statistics. It does let me customise other health information though which is good.

I wish I could run patching/scripts on a scheduled basis if its missed, I think this is an upcoming feature... Review collected by and hosted on G2.com.

OS and Software patching and showing at a glance which devices this has failed on, and most importantly for us being able to automate scripts on devices which helps us keep other aspects of the workstations up to date. This has saved us countless hours of work not just for the IT team but saved a lot of chargeable time being lost from our fee earning staff.

I also now have it monitoring my online servers as an uptime monitor to see if they are offline so I can find out before my users tell me.

It is also providing us with backups and I can quickly access them via NinjaOne to download a file a user has mistakenly deleted (even on Linux!). There is also an option to do a full image restore which we have been able to do when transferring a broken workstation into a virtual machine which is something we would not have been able to easily do before NinjaOne.

We also use it for MDM to ensure that company owned iPhones and Androids are being updated and we can remote wipe them and change passcodes if users forget them. I can also push out apps to users to make sure they all have the ones they need to be able to do their work. Review collected by and hosted on G2.com.

One thing I've learned is that Session Replay isn't meant to replace good event tracking. Sometimes I can see exactly what a user is doing, but without the right custom events, I'm still missing the "why" behind those actions. That's where good instrumentation makes all the difference. LogRocket is already a great tool on its own, but once you combine it with a solid analytics strategy, it becomes much easier to understand what's actually happening instead of just watching a replay. Review collected by and hosted on G2.com.

Every time we roll out a new feature, I like to spend some time watching how people actually use it. There's almost always a gap between the way we think something will work during development and what real users end up doing. LogRocket is usually one of the first tools I open after a major release. More than once, I've noticed buttons people completely overlook, forms that create unnecessary confusion, or workflows that seem obvious to us but not to the people using the product. Those little discoveries have led to improvements we probably wouldn't have made otherwise. That's what I value the most. Instead of relying only on charts and usage metrics, I can actually see how people interact with the product, and that gives me a lot more confidence when it's time to decide what to improve next. Review collected by and hosted on G2.com.

The biggest challenge is balancing observability with cost. As applications scale and generate more logs, metrics, and traces, it's important to optimize what is collected to keep costs under control. Creating advanced dashboards and custom queries may require additional expertise. Managing data retention and ingestion costs requires careful planning. Some alerts need fine-tuning to avoid unnecessary notifications. Review collected by and hosted on G2.com.

New Relic solves the problem of limited visibility into application performance and system health. Instead of relying on separate tools for logs, metrics, and performance monitoring, it provides a unified platform to monitor applications, infrastructure, and user experience. Detects performance bottlenecks and application issues in real time. Centralizes metrics, traces, logs, and error data in one platform. Helps identify the root cause of production incidents faster. Provides proactive alerts to minimize downtime. Monitors APIs, databases, infrastructure, and application performance from a single dashboard. In my day-to-day work as an SDET, I use New Relic to monitor application performance after deployments, investigate API latency, analyze errors, and validate system stability. Having end-to-end visibility into application behavior helps me collaborate more effectively with developers and operations teams. The biggest benefit is faster incident resolution. By correlating performance metrics, traces, and errors in one place, New Relic reduces troubleshooting time, improves application reliability, and helps deliver a better experience for end users. Review collected by and hosted on G2.com.

While Datadog is a mature and feature-rich platform, one area that can be challenging is cost management at scale. As environments grow and more teams onboard services, log ingestion, custom metrics, and data retention costs require ongoing optimization and governance. I've also found that in large enterprise deployments, alert tuning and monitor management need regular review to avoid alert fatigue and maintain signal-to-noise quality.

Another area for improvement is that some advanced configurations and cross-product features can have a learning curve for newer administrators. While the platform offers tremendous flexibility, fully leveraging its capabilities often requires experience and a well-defined monitoring strategy.

That said, these challenges are common for enterprise observability platforms, and the operational benefits Datadog provides generally outweigh the drawbacks. Review collected by and hosted on G2.com.

Datadog solves the challenge of maintaining visibility across complex, distributed environments by bringing infrastructure metrics, application performance, logs, traces, security signals, and cloud services into a single observability platform. Prior to adopting Datadog, troubleshooting often required switching between multiple tools and manually correlating data from different sources.

As a long-time user and administrator, I've found that Datadog significantly improves operational efficiency by enabling teams to quickly identify performance bottlenecks, detect anomalies, and investigate incidents from a centralized interface. The ability to correlate metrics, logs, and traces has greatly reduced troubleshooting time and improved root cause analysis.

Datadog has also helped us implement a more proactive monitoring approach through intelligent alerting, anomaly detection, and service health visibility. This has contributed to faster incident response, reduced downtime, improved system reliability, and better overall user experience. From an operations perspective, it has become a critical platform for maintaining service health and supporting informed decision-making across teams. Review collected by and hosted on G2.com.

My only complaint is that some parts of the interface can feel cluttered, making it take longer to find certain settings. Aside from that, the product works really well. Review collected by and hosted on G2.com.

Sentry helps us quickly identify, track, and diagnose bugs across both our backend and frontend applications. Whenever an issue occurs, it automatically captures detailed error information and sends notifications to our email and Slack, allowing our testing and development teams to respond quickly. This has significantly reduced the time it takes to detect and resolve issues before they impact users. Being honest, Sentry has definitely been a game changer for our development workflow. Review collected by and hosted on G2.com.

Sometimes the website will just not load, and I have to wait quite a few times. Also, Metric Explorer sometimes crashes if it has a tad bit more data to share. Review collected by and hosted on G2.com.

I use Coralogix for monitoring logs, alerting, and tracing, enhancing developer work and on-call team efficiency. It also optimizes costs with the TCO optimizer and integrates seamlessly. Review collected by and hosted on G2.com.

I don't like how I can't really customize status.xocat.online, so that could be improved. I mostly don't like the customization because I have to pay to access that, but it would be great if we could build our own website instead of just being stuck with Better Stack's template, even if it was paid. Review collected by and hosted on G2.com.

I use Better Stack to monitor my website's downtimes, saving me from having to build my own monitoring site, which I couldn't do. It's invaluable as it informs both me and my users about site issues. Review collected by and hosted on G2.com.

I find the licensing and pricing model complex, and it's sometimes difficult to predict as our environment scales. There's a learning curve for new users due to the large number of features and configuration options. Creating highly customized dashboards and reports can sometimes be less intuitive than expected. Improving ease of use, reporting flexibility, and cost transparency would definitely make the overall experience better. The main areas of improvement are pricing and transparency, ease of onboarding for new users, and more intuitive dashboard customization. While the platform is very powerful, simplifying access would enhance my user experience. Review collected by and hosted on G2.com.

I use Dynatrace for application performance monitoring and infrastructure monitoring. It analyzes logs, detects issues proactively, performs root cause analysis, and offers end-to-end visibility. This helps reduce downtime, improve system reliability, and ensures application health, user experience, and resource utilization are well managed. Review collected by and hosted on G2.com.

GPU monitoring. We run inference workloads on GPU machines and I can't see GPU utilization inside CubeAPM, so I still have to check that elsewhere. Hoping they add this at some point. Review collected by and hosted on G2.com.

Less time jumping between tools when something goes wrong. That's the main thing. When our image processing API starts throwing errors or latency spikes, the on-call team can trace back to the cause a lot faster now.

Cost is also much lower than what we were paying with New Relic. Flat pricing works well for us, so as we keep adding services, the bill stays predictable. I think that alone made the switch worth it. Review collected by and hosted on G2.com.

File handling during remote support could still be smoother. When a technician only needs to drop a small installer or package onto a device, I’d prefer a more direct transfer process that doesn’t require launching a full remote session and potentially disrupting the user. It’s not a major limitation, but it happens often enough that it becomes part of the technician’s routine instead of just an occasional inconvenience. Review collected by and hosted on G2.com.

A new security policy had to be deployed across several offices without disrupting teams working different shifts, so we started with a pilot group and used IT Automation Profiles to run scripts, apply configuration changes, and schedule updates through Atera. During the first phase, Remote Monitoring showed that several devices were not reconnecting after the restart. The Ticketing System gave the technicians enough device and activity context to separate real failures from computers that had simply been powered off by their users. We also caught a profile with the wrong maintenance window after it started acting on two workstations earlier than planned. The deployment was paused, the policy was corrected, and the remaining devices were moved through smaller groups instead of continuing with the original batch. Patch Management then showed which machines had completed the update and which ones still needed intervention, while the dashboard gave us a shared view of open tickets, technician workload, and pending endpoints without asking each technician for a separate status report. Atera did not make the rollout risk-free, and it certainly did not compensate for a poorly grouped device policy. What it gave us was enough visibility to catch the mistake before it reached the rest of the organization, connect technical execution with support activity, and close the project based on the actual state of the devices rather than a checklist that claimed the work was finished. Review collected by and hosted on G2.com.

The main area that could be improved is the initial learning curve. Instana provides a large amount of data, but the interface can feel quite dense when you first start using it, especially when navigating between services, traces, infrastructure metrics, and incidents. It was not always immediately clear which view was best for a particular task, such as investigating a slow transaction, checking infrastructure health, or understanding the dependencies between services. Review collected by and hosted on G2.com.

I use IBM Instana for real-time application performance monitoring, reducing investigation time, identifying bottlenecks faster, and understanding issue impacts across our environment. It solves problems with limited visibility in complex applications by connecting traces, metrics, and dependencies. Review collected by and hosted on G2.com.

ServiceNow ITOM has a few notable drawbacks, starting with its high cost, particularly if you rely on advanced modules such as Discovery, Service Mapping, and AIOps. In large scale implementation projects, the implementation process can be complex and time-consuming, often requiring skilled resources as well as ongoing tuning to keep everything working as expected. In more complex environments, Discovery and service mapping may not always be fully accurate, which can lead to gaps or inconsistencies.

The platform also comes with a steep learning curve. On top of that, the AI/AIOps capabilities depend heavily on having high-quality data and the right configuration; early on, they may generate false positives or miss certain issues. Finally, performance can be impacted when large volumes of events are being processed, especially if the environment is not properly optimized. Review collected by and hosted on G2.com.

ServiceNow ITOM helps address several common challenges in IT operations, such as limited visibility, fragmented toolsets, alert overload, and overly reactive incident handling. By offering unified monitoring and service mapping, it provides clearer insight into infrastructure dependencies and supports faster root-cause analysis.

Thanks to its strong integration capabilities, ITOM can consolidate data from multiple monitoring tools into a single platform, reducing silos and improving coordination across teams. It also remains reliable under high event volumes, which helps teams process alerts efficiently and focus attention on what matters most.

With its AI/AIOps features, ITOM further reduces noise and inefficiency by correlating events, detecting anomalies, and predicting potential issues before they affect users. This helps shift operations from reactive firefighting to a more proactive approach.

From a pricing and ROI standpoint, the platform delivers value by reducing downtime, minimizing manual effort, and improving overall operational efficiency, which can translate into cost savings over time. In addition, structured support and onboarding make adoption smoother and help teams accelerate time to value.

The UI/UX is intuitive and well-structured, making it easy to navigate between events, service maps, and incidents, which improves efficiency and reduces the learning curve for operations teams. Review collected by and hosted on G2.com.

The main downside of OpManager Nexus is the upfront effort required to tune alert thresholds so you don’t end up with notification overload. Some of the deeper configuration areas—such as custom SNMP rules and report templates—also feel cluttered and harder to navigate than the primary NOC views. In addition, on-premise installations can demand substantial hardware resources, since telemetry data accumulates in the database over time. Review collected by and hosted on G2.com.

OpManager helped us address three major business challenges:

Pricing / ROI: It replaced our expensive legacy monitoring tools with a more cost-effective, device-based licensing model, which significantly improved our return on investment.

Support / Onboarding: Its automated discovery features made onboarding quick and painless, and we were backed up by responsive vendor customer service.

AI / Intelligence: The machine-learning adaptive thresholds reduced our alert fatigue by automatically distinguishing genuine anomalies from routine traffic spikes. Review collected by and hosted on G2.com.

The product is feature-rich, but some advanced configurations can be complex for new administrators. Certain areas of the interface could be more streamlined, and troubleshooting patch deployment or policy-related issues sometimes requires navigating through multiple menus and logs. Custom reporting and dashboard creation could also be more intuitive. Overall, these are usability improvements rather than functional limitations, as the platform provides the necessary capabilities once configured properly. Review collected by and hosted on G2.com.

ManageEngine Endpoint Central helps us standardize and automate patch management across our organization. It allows us to test, approve, and deploy Microsoft and third-party updates in a controlled manner while tracking compliance through centralized dashboards and reports. The platform also simplifies software deployment, remote troubleshooting, asset inventory, and endpoint configuration management. As a result, we have reduced manual effort, improved patch compliance, increased endpoint visibility, and strengthened our overall security posture. Review collected by and hosted on G2.com.

The hierarchical grouping for OT devices is still pretty manual. Every time maintenance swaps a sensor or adds a new actuator I have to go rebuild the tree structure by hand, and if you forget one sub-group the maps look like a jigsaw with missing pieces. It’s not a deal-breaker, but after a busy shutdown week it feels like busywork that should be smarter by now. Review collected by and hosted on G2.com.

We used to fly blind on predictive maintenance—machines would just fail and we’d scramble. Now PRTG gives us trending curves I can actually show the maintenance guys in plain English. We cut unplanned downtime by roughly 40 % on the critical lines and shaved about 18 % off our quarterly energy bill because we finally saw which machines were idling at full power overnight. The ROI showed up in the first six months. Review collected by and hosted on G2.com.

So far, I haven't found any drawbacks. Review collected by and hosted on G2.com.

It guarantees me a completely stable network. Previously, I had many wifi problems; when working with a large volume of data for my job, my NAS server did not function as smoothly and reliably as it does now. Review collected by and hosted on G2.com.

Nothing major to report so far—the platform works as expected. One minor suggestion: more detailed documentation around custom metrics would be helpful, especially for setting them up and understanding how they’re meant to be used. Review collected by and hosted on G2.com.

We use Dash0 as an independent platform to verify DS24 Gateway. It helps us confirm that the system is working correctly by letting us view metrics, traces, and overall system state in real time. With Dash0, we can validate our setup without having to build and maintain our own observability infrastructure. Review collected by and hosted on G2.com.

I understand it has less capabilities on the AI automation and integration parts as the tool takes a lot of time to process the information and it is a lot slow so we need to improve on that part.

Secondary concern is regrading the tool cost around the cost and the learning curve for high-level logic needs to be taught to every developers while using the solution Review collected by and hosted on G2.com.

Manual works is converted to automated workflows.

It integrate agents, and cyber security teams, and tools with speed and control. Review collected by and hosted on G2.com.

It's very difficult to find something to dislike, because I feel confident that anything we would want changed, the Netbeez team would be able to accommodate it. Review collected by and hosted on G2.com.

Our organization's workers are primarily remote, and their roles very often are ones that don't come with a necessary proficiency in technology. Therefore, it is often the case that home internet/router diagnosis falls entirely on us. This tool is essential to being able to gather objective troubleshooting data among the sea of subjective reporting we get from our users to determine where the actual cause of network interruptions lies. Review collected by and hosted on G2.com.

I don’t have any major complaints, but one aspect that could use improvement is the internal documentation and the number of manual steps involved in workflows. If there were more structure and clearer guidance in these areas, I believe productivity could be enhanced even more. Review collected by and hosted on G2.com.

Last9 is solving the problem of unreliable, difficult-to-understand systems in modern distributed architectures. As applications grow more complex, it becomes harder to maintain uptime, identify the root cause of failures, and ensure that services meet reliability goals. Last9 addresses this by providing structured SLO (Service Level Objective) management, real-time observability, and automated insights into system performance.

For me, this has been extremely beneficial because it helps me:

Detect issues early before they become customer-impacting incidents.

Reduce time spent on debugging, since Last9 surfaces the exact services or dependencies causing reliability risks.

Track reliability in a measurable way through SLOs instead of relying on subjective judgments.

Focus my efforts on what truly matters, thanks to clear error budgets and actionable alerts.

Deliver more stable releases, ensuring better user experience and fewer production escalations.

Overall, Last9 helps turn reliability from a reactive activity into a proactive, data-driven process — which boosts my efficiency and confidence in managing high-scale systems. Review collected by and hosted on G2.com.