MongoDB vs. Splunk IT Service Intelligence (ITSI)

If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.

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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.

• Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
• You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
• Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.

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• 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.

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• An aggregate pipeline can be a bit overwhelming as a newcomer.
• There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
• Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.

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• 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

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I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.

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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.

NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.

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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.

Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.

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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.

While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.

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We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.

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.

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• Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
• You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB

• 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.