System Optimizer Software

The only downsides I’ve run into are internal. The NinjaOne DoJo can be problematic because logins aren’t always accepted when using the same credentials as the traditional login portal. Beyond that, it’s hard for me to point to any other real negatives, especially since their team is very responsive about helping you find a solution or making you aware of solutions that already exist. Review collected by and hosted on G2.com.

They are solving the problems with Detection Gap, Update Anxiety, Endpoint Performance, and Audit Headaches. NinjaOne is solving my problem of fragmentation. By putting RMM, Patching, and Backups in one AI-enhanced "single pane of glass," it gives me back my time and significantly lowers my organizational risk. Review collected by and hosted on G2.com.

I don’t like that the data can’t be processed before it’s stored. Review collected by and hosted on G2.com.

User analytics is so important nowadays, and we have so many projects on the table right now. In the words of a CUS team member here: "I don't know how we've been working without logrocket all this time" haha. Review collected by and hosted on G2.com.

New Relic can feel complex for newcomers. The platform is powerful, but understanding all its dashboards, APM details, and configuration options takes significant time.

Many reviewers note that onboarding requires a noticeable investment, especially for teams new to observability tools. Review collected by and hosted on G2.com.

Lack of visibility into the customer journey

Problem:

E‑commerce teams often struggle to understand exactly where users encounter friction—slow product pages, checkout failures, or payment gateway delays.

How New Relic solves it:

New Relic provides end‑to‑end visibility of critical journeys like checkout and fulfillment, showing which technical issues directly impact revenue Review collected by and hosted on G2.com.

While Sentry is a powerhouse for error tracking, it still has a few friction points that can be frustrating for power users and growing teams.

First, alert noise and configuration fatigue are real risks. The sheer volume of data Sentry captures is a double-edged sword: if you don’t dial things in early, alert fatigue can set in fast. The default alerting rules can be overly sensitive and end up flooding Slack or email with “noise.” Getting those rules tuned so they reliably separate a critical system failure from a minor, handled UI exception takes a meaningful time investment, and the path to doing it well isn’t always intuitive.

Second, the UI has become increasingly complex as Sentry has expanded beyond error logging into Performance, Replays, and Crons. The dashboard can feel dense, and finding specific settings—or even just moving between “Discover” queries and “Issue” views—can be overwhelming for new team members. There’s also a steep learning curve to mastering the query language (Sentry Structured Queries) so you can consistently pull exactly the data you’re looking for.

Third, data volume and quota management can be a headache, especially around data truncation and sampling. To keep costs down, you often end up implementing aggressive sampling (for example, only keeping 10% of performance traces). The downside is that the one trace you need to debug a rare edge case sometimes isn’t there because it fell outside the sample rate. Balancing visibility with budget can turn into constant monitoring of “dropped events.”

Fourth, the SDK footprint can feel heavy. The SDKs are “plug-and-play,” but they aren’t invisible. In performance-sensitive frontend applications, enabling multiple Sentry features (like Session Replay and heavier breadcrumb tracking) can noticeably increase bundle size. If you’re optimizing for “Lighthouse” scores and millisecond-level performance, the trade-off between observability and site speed becomes an ongoing debate.

Finally, pricing jumps between tiers can be tough. The entry-level pricing feels fair, but moving up to “Business” or “Enterprise” can feel steep. Some advanced features—like certain SSO integrations or longer data retention—are locked behind higher-cost tiers, which can be a hard sell for mid-sized startups that need those security features but aren’t yet operating at “Enterprise” levels of data. Review collected by and hosted on G2.com.

Sentry addresses the critical “blind spot” between code deployment and user experience by offering real-time visibility into production errors and performance bottlenecks that might otherwise go unreported. With features like **Session Replay** and **Distributed Tracing**, it helps break the “cannot reproduce” cycle by giving developers the exact sequence of events and the backend traces they need to pinpoint and fix bugs quickly. In the end, this supports teams by significantly reducing **Mean Time to Resolution (MTTR)** and helping maintain a more stable, high-performing product through AI-assisted root cause analysis. Review collected by and hosted on G2.com.

One thing I dislike about Atera is that some advanced features feel limited compared to more complex RMM platforms. Occasionally the interface can feel a bit slow when managing a large number of devices. However, overall the platform still delivers great value for the price and continues to improve with updates. Review collected by and hosted on G2.com.

Atera helps me solve the challenge of managing multiple clients and devices efficiently from a single, centralized platform. With it, I can monitor systems in real time, automate patch management, and provide remote support quickly without having to juggle multiple tools. As a result, downtime for my clients is reduced, my response times improve, and my overall productivity increases. It also makes it easier to scale my IT services in a more controlled way while keeping costs predictable. Review collected by and hosted on G2.com.

What I like least about Better Stack is that some configurations can be a bit confusing at first, especially when you want to adjust alerts or delve into the logs. I also feel that in certain cases it could offer more customization options or integrations. It's not critical, but these are details that could improve the experience, especially for more technical teams. Review collected by and hosted on G2.com.

Better Stack helps me primarily solve the visibility problem in my services. When you have multiple APIs and processes running, it's easy to lose sight of what's failing or where the bottleneck is. With Better Stack, I can centralize logs, monitoring, and alerts, which allows me to detect problems much faster and take action without wasting time investigating in different tools. This ultimately translates into less downtime and better stability in my applications. 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.

While Datadog is powerful and feature-rich, it can take some time to fully learn and configure for new users. Review collected by and hosted on G2.com.

Datadog helps us monitor all our systems, applications, and logs in one place. It helps reduce downtime and keeps our services running smoothly. This saves time, improves team collaboration, and gives us better visibility into our infrastructure. Review collected by and hosted on G2.com.

Unable to migrate between tenants without easily losing data.

AI tooling needs to be consistent across all areas of the product.

The user experience is inconsistent between the new experience and the classic experience.

The consumption-based charging model isn’t clear—for example, what a query actually costs in currency terms, or how it maps to a percentage of the annual commitment. Review collected by and hosted on G2.com.

Dynatrace enables business-grade visibility across the enterprise IT estate, connecting key business KPIs back to the infrastructure that supports those processes. This straightforward convergence of the business and technology worlds helps non-technical stakeholders understand the importance of their technology stack through an engineering-led approach, rather than relying on slideware. Review collected by and hosted on G2.com.

It can take a significant amount of time and effort to train new users on its advanced functionality and full set of features. In my opinion, it’s also noticeably pricier than other APM tools I’ve worked with. Review collected by and hosted on G2.com.

My experience with IBM Instana in our organization has been largely positive. Before deploying it, we struggled to identify performance issues quickly. Since implementing it, it has helped us resolve incidents faster and has also given us real-time monitoring capabilities, which makes it easier to spot and address problems as they arise. Review collected by and hosted on G2.com.

Initial setup can be complex, the UI could be more intuitive, and reporting and error messaging could be improved. Review collected by and hosted on G2.com.

ManageEngine Endpoint Central solves key challenges related to managing and securing endpoints at scale. It addresses problems such as inconsistent patching, lack of visibility into endpoint health, time‑consuming manual software deployments, and difficulty providing remote support to users.

By centralizing endpoint management, it allows us to automate OS and third‑party patch updates, deploy applications efficiently, monitor device compliance, and troubleshoot issues remotely. This has significantly reduced manual effort, improved patch compliance and security posture, minimized endpoint‑related incidents, and improved overall IT productivity. As a result, end‑user downtime is reduced and the IT team can focus more on strategic tasks rather than routine maintenance. Review collected by and hosted on G2.com.

The core observability features are strong overall, but there are still a few areas that could be improved. Real User Monitoring (RUM) and synthetic monitoring, in particular, feel fairly basic right now, and adding more capabilities in these areas would make the platform even more powerful. Review collected by and hosted on G2.com.

CubeAPM helps us address the challenge of monitoring multiple services and systems that were previously spread across different tools. By bringing logs, metrics, distributed tracing, and infrastructure monitoring together in a single platform, it gives us a more unified view of our applications. As a result, we can identify errors faster, trace slow API calls more easily, and debug issues across services with less back-and-forth, which improves our troubleshooting speed and overall system reliability. Review collected by and hosted on G2.com.

None at the moment, but I’d like to share some feedback: Tines’ AI formula generation doesn’t work sometimems. Story Copilot also has a few minor bugs, and I’m hoping it improves in the future.

Also would like to have a RAG feature in Tines AI Agent. Review collected by and hosted on G2.com.

In our organization, we move data between different systems, and we also use it for reporting and alerting within our security tools.

We also use an AI Agent to analyze reports, which reduces a lot of manual effort. 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.

Red Hat Smart Management exhibits strong integration with Red Hat products, which may pose challenges if considering a transition to alternative vendors down the road. Additionally, apart from these overarching concerns, a number of users have expressed criticisms about specific aspects of Red Hat Smart Management:

1.Navigating and utilizing the reporting system can be somewhat challenging. 2.While capable, the performance monitoring features may not match the robustness found in some competing products.

3.The support for non-Red Hat systems is somewhat limited. Review collected by and hosted on G2.com.

Improved security: Red Hat Smart Management can help organizations to improve their security posture by providing a centralized view of all RHEL systems and by automating patch management.

Increased compliance: Red Hat Smart Management can help organizations to comply with industry regulations by providing compliance reporting capabilities.

Improved performance and reliability: Red Hat Smart Management can help organizations to improve the performance and reliability of their RHEL environments by providing performance monitoring and troubleshooting capabilities. Review collected by and hosted on G2.com.

Some areas in OpManager can feel a bit clunky, especially advanced configurations and customization. The alerting system, while powerful, can become noisy without careful tuning. Scalability and performance may require additional setup in large environments. Also, licensing and add-on costs can get expensive as you expand features. Review collected by and hosted on G2.com.

ManageEngine OpManager helps by providing centralized monitoring of all network devices, reducing the need to check multiple tools. It quickly detects outages, performance issues, and bandwidth bottlenecks, which minimizes downtime and speeds up troubleshooting. This improves overall network reliability and saves time for the IT team by automating alerts and reporting. 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.

It is worth noting that the tool is still in heavy development. While the team is clearly trying their best and moving quickly, not all convenience features are present yet compared to older, more bloated competitors. However, the stability and speed of the core features more than make up for the current gaps in the "nice-to-have" category. Review collected by and hosted on G2.com.

For an engineering team without a dedicated DevOps department, Dash0 removes the operational burden of 'tool-chaining' by providing a unified, OTel-native environment that automatically correlates logs and traces, allowing us to maintain full visibility into our services without needing a specialist to manage complex infrastructure or proprietary agents. Review collected by and hosted on G2.com.

Downside is, Overall , in view of compliance sometimes PII uploaded to s3 can be identified with Macie. But when its an image or pdf containing photo copies of such personal sensitive information its hard to identify. It might be stored on the ec2 or s3. But figuring out it is complex. We do have OCR techniques in some services, which can trigger ec2 playbooks. Yes , it can be achievable with right problem solving technique and using the required services. Review collected by and hosted on G2.com.

Security Patches, Trigger based actions on infrastructure. Logging for IOC identifications. Many more. Review collected by and hosted on G2.com.

I cannot complain about AppSignal, possibly the problem is with us that we still need to add more integrations, for example with error reporting. Review collected by and hosted on G2.com.

Performance monitoring and log analysys Review collected by and hosted on G2.com.