AppFog (discontinued) vs. Splunk IT Service Intelligence (ITSI)

It was very good to use in small scale projects. Considering the high end projects with many instances and multi-platform architectures, it is better to test before the application is deployed. I think few of the questions can be general - who are the system users and what size is the application focussing on? How much resources are required? Will the application require any additional services?

Incentivized

Splunk ITSI is a great tool (and toolbox) for combining together numerous and varied monitoring regimes to bring more holistic analysis and reduce alert fatigue. By leveraging the Splunk ITSI service and KPI modeling regime, ecosystem telemetry can be turned into a more reliable, clearer, high-level perspective on the current state of your components and services.

• Quick deployment of pre-built virtual machines
• Some of the virtual machines also are readily available with a pack of softwares
• Good Stability. Using it as a student, I have never experienced any downtime issues with the projects deployed on AppFog.

Incentivized

• Monitor hundreds of IT services by continuously tracking thousands of KPIs in a scalable way.
• Quickly identify problem areas by a combination of default visualizations and ability to create custom dashboards.
• Extremely configurable to effectively monitor nearly any KPI imaginable from Splunk.

Incentivized

• Though it is good and easy for developers, it lacks operational activities and monitoring tools.
• It is easy to deploy WAR on AppFog with its console but sometimes it can lack on the performance and feasibility.

Incentivized

• ITSI really needs a robust splunk log ingestion infrastructure at its core
• ITSI requires a great engineering team to build out the automated discovery and topology
• Unless you use an API to build the topology, the view can quickly become static

Incentivized

We have replaced our monitoring platform with Splunk & ITSI, and with the success, it's seen at our organization thus far we would be hard-pressed to pivot to another tool. Frankly, our business partners and application teams love Splunk & ITSI.

Splunk IT Service Intelligence (ITSI) is a platform with extended functionality and provides various functionalities which can be utilized to improve the efficiency and accuracy in analyzing the data and detecting the attacks.

During POC, pre-planning, and implementation, we have had interactions with numerous folks at Splunk. Everyone from sales & engineering to markets analysts to specific IT component SMEs, and a small professional services engagement to get started. They have all been exceptionally helpful and go above and beyond the call of duty. They actively reach out to ensure success is being realized and find ways to help proactively, instead of having to simply open support cases with the vendor.

Primarily because it used to have a good free tier earlier, which it does not anymore. It's simple, and things are available to use. Compared to it's competitors, it does has less features, but that kind of acts in its favor. That adds to the simplicity, and ease of use for a new user.

Incentivized

Splunk has raised itself as a platform not just as a tool unlike other products in the market. If I talk about Moogsoft it also has similar capabilities but Splunk ITSI has more visibility and its GUI is making a different impact on the users. ServiceNow and Splunk are equally capable products however Splunk seems to have more tech-savvy people tools than ServiceNow.

Incentivized

• Our project was deployed with good efficiency and easily accessible.
• The platform was much recommeded across the groups and peers.

Incentivized

• Splunk ITSI has reduced the number of alerts exposed to our Network Operations Center by 100x while increasing the context around outages.
• Splunk ITSI has increased the accuracy of our incident detection by leveraging the Event Analytics system to weigh the behavior of the many characteristics of each component together instead of independently.
• Splunk ITSI has reduced our incident MTTR (mean time to restore) by detecting issues faster, presenting them more clearly, and surfacing the salient details about the underlying issue.