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Incident management is streamlined with Moogsoft. One standout feature is its unique situation-creation capability, differentiating it from other fault management tools. While other tools typically convert alarms directly into tickets or incidents, Moogsoft adds a middle layer where multiple alarms can be aggregated into one incident. Moogsoft's strong AI capabilities also allow it to correlate similar alarms automatically based on past experiences.

The solution comes with a collaboration feature. This feature allows team members to communicate and work together on various issues. If there are ten incidents, then ten chats will be open.

The solution comes with features like PRC, designed to streamline alarm flow, reduce noise, and prevent alarm flooding. These features are particularly beneficial when used with a basic understanding of network operations. It has a time-based algorithm that continuously learns from alarm flows. When the alarm flow reaches a certain limit, it collects all alarms together based on historical data. This is particularly useful during major events such as power outages, where alarms could flood. In such cases, the product activates to hold all alarms for a certain period, anticipating a fluctuation rather than immediately triggering the alert manager.

The tool needs to improve its support. It appears that the support responsiveness from Moogsoft is not aligned with the severity of the incident. Instead of proactively addressing issues, customers have to chase Moogsoft for resolution. In Moogsoft, unlike other tools like Splunk, the process follows a step-by-step sequence. You need to start each process in a specific order, typically following a sequence. 

I have been working with the solution for five years. 

The tool is scalable. About 70 customers were able to run on the tool's single instance. My company has customers spread across various industries, including FMCG, and  hospitality. 

I have used Netcool and Splunk before, and each tool has its own capabilities, advantages, and disadvantages. Splunk is great for heavy data processing, while Moogsoft excels in integrating with various tools through intelligent plugins. With Moogsoft, you install the plugin and provide basic login credentials for integration. Every tool has its unique strengths and experiences. There's no situation where Moogsoft can do something that other tools can't, or vice versa. For example, Moogsoft offers intelligent alarm correlation through situations, while Netcool provides impact policies for coordinating different alarms.

Installing Moogsoft requires moderate effort, as it's not overly complex but does demand some expertise. Users should understand databases and Linux file systems well to ensure a smooth installation process. While it's not overly complicated, having an experienced individual handle the installation is recommended. 

The tool's maintenance is smooth and easy. 

I rate the product an eight out of ten. 

Our primary use case for Dynatrace is full-stack monitoring. We use it to monitor the performance and availability of our applications, infrastructure, and services. It helps us quickly detect issues, analyze user behavior, and perform root cause analysis using AI-powered insights.

Dynatrace has significantly improved our organization by providing full-stack visibility and automated root cause analysis. It helps us detect and resolve issues faster, reduce downtime, and improve user experience. The OneAgent simplifies deployment, and the AI-powered insights allow our team to focus on innovation instead of firefighting.

We use Dynatrace full-stack monitoring because it allows us to trace issues across the entire stack — from user interactions to backend infrastructure. It’s very effective for identifying where problems occur, making it highly valuable for end-to-end observability.

Dynatrace's user behavior monitoring and analysis also works well. It provides powerful insights into user interaction patterns, session behavior, and user experience metrics, which help us understand how our applications are being used.

One of the features I appreciate most is the OneAgent. We only need to install a single agent per host, and it automatically collects metrics, logs, traces, events, and more — without requiring multiple separate tools or manual instrumentation.

We also benefit from Dynatrace’s AI-powered anomaly detection. The Davis AI engine detects unusual patterns, performs root cause analysis, and sends smart alerts — all automatically, which significantly improves our incident response time.

More customizable dashboards

Better log search and retention features

Easier tagging and permission management at scale

Improved mobile app monitoring support

reduction in costpricing 

I have been working with Dynatrace monitoring and other monitoring systems for about three years. During this time, I’ve gained hands-on experience with full-stack observability, user behavior analysis, anomaly detection, and automated root cause analysis using Dynatrace.

Dynatrace is very stable and reliable. Its OneAgent runs with minimal impact on system performance, and the platform itself experiences very few outages. Regular updates and proactive monitoring by Dynatrace ensure high availability and consistent performance, which is critical for our continuous monitoring needs.

Dynatrace scales very well across different environments, from small setups to large enterprise systems. Its automatic discovery and instrumentation make it easy to manage thousands of hosts, containers, and services without significant overhead. The platform handles high data volumes efficiently and maintains performance, making it suitable for dynamic cloud-native and hybrid environments.

My experience with Dynatrace customer service and support has been positive. The support team is responsive and knowledgeable, providing timely assistance for technical issues. Additionally, the available documentation and community resources help resolve many questions quickly. Occasionally, complex issues may require escalation, but overall, the support experience is reliable.

Neutral

We previously used a full monitoring system with Zabbix, which worked well but required a lot of manual configuration and maintenance. With Dynatrace, we benefit from extensive automation tools that significantly reduce manual effort. This automation is a key difference that sets Dynatrace apart from Zabbix and other monitoring solutions.

The initial setup of Dynatrace is generally straightforward thanks to the OneAgent, which automates discovery and instrumentation across the environment. However, configuring advanced features, custom dashboards, and integrations can be more complex and may require some learning and planning. Overall, the automation significantly reduces manual effort compared to traditional monitoring tools.

Dynatrace is ideal for clients who need advanced, automated monitoring. However, some clients may not fully understand its value and might not need to invest in a high-end solution if their requirements can be met with free tools like Zabbix.

The SaaS version of Dynatrace is typically suitable only for proof of concept (POC) purposes. When customers commit to Dynatrace, they usually opt for the managed version for production use.

Overall, I would rate Dynatrace 9 out of 10 as a product solution.