ClusterControl vs. Splunk Infrastructure Monitoring

I love its ability to work without manual configuration. ClusterControl has enabled us to control all servers across business and monitor overall server health with ease. ClusterControl ability to automate repetitive tasks has made my work easier and saves me a lot of time. It also offers a very good GUI.

Incentivized

Splunk Infrastructure Monitoring is well suited for any complicated environment where you have apps and servers across multiple clouds and platforms and products. If you have a data centre where all your apps and servers are in one single network, you could probably get away with older solutions. But for any modern, complex, hybrid-cloud microservices environment, Splunk Infrastructure Monitoring is a must-have.

Incentivized

• Proficient and proactive database monitoring, which governs security.
• Automation of the routine processes, more those those that entails repetitions.
• Further, ClusterControl has tools for performance optimization, which improves the quality of results.
• Lastly, ClusterControl supports database scaling and automation, a strategic option for efficient management.

Incentivized

• SignalFX handles historical metric aggregation exceptionally well, providing a multifaceted approach to event detection based on anomalies.
• SignalFX's cost is incredibly flexible with their pricing model of DPM (data-point per minute) vs the traditional "per host" model that most monitoring SaaS use.
• SignalFX support is responsive and knowledgeable, very eager to help solve your immediate problems.
• SignalFX integrations is vast and constantly growing, making adoption easy even when multiple different open-source technologies are used in your stack.

Incentivized

• It's holistic with data virtualization.
• Requires users with skills to install.
• Excellent with backup and instant recovery.
• Great for the safety and security of our data.

Incentivized

• Better integration with our clients (native mobile clients SDKs will be great).
• A way to easily tag filters and move them across metrics/formula.
• Alert system to easy false [alarm] and hard to configure.
• Be able to have group more dimensions (and have more values on each).

Incentivized

Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net

Incentivized

I find that learning the interface can take some time. We need a better show-and-tell on how the Teams pages, Dashboard Groups, Dashboards and charts delay. Advance SignalFlow is sometimes hard to build. Some better samples of advanced SignalFlow would be helpful. For example, Splunk SPL has a vast resource of examples.

Incentivized

Fantastic with secure access to data within the organization. Magnificent to monitor the database performance and do a repair. Efficient with backup and recovery. Intuitive dashboard.

Incentivized

They’re not for the same purpose but we’re using NewRelic and Honeycomb for monitoring purposes. NewRelic is used for HTTP client monitoring for system related throughput, error, database and external client monitoring. Honeycomb is used to monitor actual HTTP request/response values. Splunk [Infrastructure Monitoring] is used for real-time application related throughout and error monitoring.

Incentivized

• It provides work efficiency because it offers timely notifications and alerts.
• ClusterControl has strong data security.
• It enables me to fully maximize data operation because it collects comprehensive performance data that I use to improve workflows, therefore boosting productivity.

Incentivized

• Reduced downtime.
• Caused us to get a lot of spam when we redeployed apps and old instances stopped sending metrics. Muting alerts solves this, but people often forget to do it or do it incorrectly.
• Helped us find historical info about instances/apps.

Incentivized