Splunk ITSI (IT Service Intelligence) Reviews

We are using the solution for correlation searches. We've integrated Splunk with ServiceNow. We're creating aggregation policies to trigger actions in ServiceNow. We use it with the ServiceNow add-on. When something happens in ServiceNow, it's correlated to ITSI as well. 

We can check to see if dependent services are aligned. The service analyzer allows us to see the health of the services. 

It's been very good for noise reduction. We have alerts that trigger visually and it helps us prioritize. We can create performance-related dashboards so teams will have a clear overview according to their unique requirements. 

The infrastructure monitoring is very useful. In our scenario, we can see the performance of logs across parameters like memory or security. We can analyze the data. We can create our own logic and alerts to send to the correlated teams to take care of incidents. 

The end-to-end visibility is very good. With the service analyzer, we're able to see if something goes down. It's inspecting the health of services. It's color-coded, so we can check to see if there are any serious issues. We can do deep dives if something is red. 

We use the predictive analytics on offer. We have some use cases in which we create forecasts around CPU and memory-related alerts. We can use it to predict costs based on the past 30 or 40 days. We're also trying to use this for anomaly detection. We can make good predictions on the basis of data and trends. As long as we have past data, we can use it to build some predictions for the future. We can use this to create and send predictive reports to our teams to help them take pre-emptive action.

It's helped us to right-size resources to match demand. 

The solution has helped us streamline our incident management. We've been able to increase efficiencies through automation.

We've been able to reduce incident volume. If a host is generating frequent tickets, for example, we're able to see it and work on it directly to help us reduce incident counts. 

We've been able to effectively reduce alert noise. We can create logic to create tickets. It will create one ticket per episode so that multiple tickets are not created for one single episode - and this helps us reduce noise. 

We can automate routine tasks. We're able to create alerts, reports, scheduled searches, et cetera. It's helping us to save time.

When we check the service analyzer, and we have custom inputs, there are issues. Sometimes our inputs are not taken or recognized. Alerts are not being automatically generated. Also, if someone comes and creates a maintenance window, we can't properly identify who created it. We have to create our own queries before we can identify anything. 

I've been using the solution for three years. 

The solution is very stable. 

The solution is scalable. Depending on your infrastructure, it can be a bit tricky. 

I haven't had to escalate any issues to technical support. 

We're using SolarWinds and Splunk in our current environment. 

I helped with the initial deployment. We have multiple servers sending data to Splunk. The process is straightforward. For the setup, we had three people involved in the process. 

It's not a difficult solution to maintain. 

The licensing is based on data ingestion. However, they do have multiple licensing options.

The pricing is reasonable. 

Splunk is good. It gives good customized options. Any logic or Python script we need to add, we have the freedom to do so. Most solutions aren't as customizable. 

I'd recommend the solution to others. I'd rate it eight out of ten. 

We use Splunk ITSI for monitoring and analytics.

We spent two months evaluating Splunk before deploying it in production, and by the end of that period, I fully realized the tool's benefits.

Splunk allows us to size resources to match the demand.

Splunk significantly improved our organization's efficiency. Previously, identifying application failures required manual checks or creating custom email templates. However, this process has been fully automated since Splunk was integrated into our applications. We now receive instant email alerts for any issues, reducing our response time from hours to minutes and seconds.

It reduced the mean time for detection by 60 percent.

Since implementing Splunk ITSI, we now receive alerts within seconds of detection.

Splunk ITSI has significantly reduced the time spent on routine tasks. Previously, locating errors could consume minutes or even hours, but now it takes seconds.

It is easily integrated and capable of ingesting data efficiently.

I particularly appreciate two features of Splunk ITSI: data forwarding and the marketplace. Data forwarding allows us to ingest data from at least three different sources directly into Splunk. The marketplace, on the other hand, empowers us to create and share custom applications or functionalities that aren't already available.

The user interface visualization could be improved. Splunk ITSI currently utilizes a candid design.

I have been using Splunk ITSI for 11 months.

Splunk ITSI is stable on the Cloud.

Our project generated millions of lines of data every ten minutes, which Splunk ITSI successfully processed.

We migrated from New Relic over to Splunk ITSI because of budget constraints.

The deployment is straightforward. 

I would rate Splunk ITSI eight out of ten.

A dedicated Splunk team deals with maintenance.

Before using Splunk ITSI, it is recommended to take advantage of the free trial period to explore the application and thoroughly read the documentation. This will allow you to determine if it meets your needs before diving in.

Splunk ITSI is a product for operations. I use it for detecting issues in the operations and generating alerts for them.

It is an intelligence platform for operational excellence.

The end-to-end visibility is a great thing about Splunk ITSI. It provides an end-to-end view to any user, from a normal engineer to a high-level manager.

We were able to realize the benefits of Splunk ITSI immediately.

Splunk ITSI helps to right-size resources to match the demand. It improves the quality. It is more organized. It can definitely help in rightsizing.

It helps to avoid duplicated alerts. If rightly implemented, it can reduce the duplication of alerts and provide more specific and accurate context.

Splunk ITSI has helped reduce incident volume. The reduction is implementation-dependent. If it is rightly implemented, we can reduce it to a very low percentage. Out of 100, we get only 10 alerts. If the context is correct, we only need one alert. This can be achieved with ITSI.

Splunk ITSI has helped reduce our alert noise, but I do not have the numbers because the initial implementation was not right. There were so many alerts, but when we corrected the implementation, it reduced them by a lot. I do not have the numbers, but thousands have become hundreds.

Splunk ITSI has helped reduce our mean time to detect (MTTD). It is at least five minutes. The mean time to resolve is dependent on the team. I do not have control over that because, in Splunk ITSI, we generate alerts for multiple teams, not just one team. It all depends on their SLAs.

Splunk ITSI helps us to automate alerting and automatically generate alerts or create incidents. It is not an automation tool to reduce mundane tasks.

Splunk ITSI helped us save costs by reducing downtime and manpower costs or avoiding SLA penalties.

The service analyzer view and automatic creation of incidents are valuable.

Better documentation would definitely help. Many people do not know about it, so better documentation and use case explanations would be helpful. There should be more YouTube videos about how to implement ITSI

The biggest improvement area is making it open to developers. Right now, it is very closed. It can only be downloaded by people who have a license to and not everyone. If it is open to everybody, more people will use it.

It has been quite a long time. It has been more than four or five years.

It is pretty stable. If we have the proper infrastructure, this tool is very stable. It does not crash.

Its scalability is high. It can scale very well. You can increase the size of the cluster. You can increase the capacity vertically and horizontally. It is very scalable.

They are good. They respond based on the SLAs. The quality of service depends on how informative you are when you provide the case details to them, but they have the ability to escalate it to higher levels and get help. They have the skills, but sometimes, the support is not in the UK. It sometimes comes from the US, so there may be time constraints when you set up a call. Otherwise, they are good.

Neutral

I have used other solutions. In the old days, I used a BMC system. Splunk ITSI is a completely different type of alerting system.

The BMC solution is more monotonic. It does not have the intelligence like Splunk ITSI to reduce the noise. It just picks up a metric and alerts based on that threshold, whereas, in ITSI, we have the control to reduce the number of alerts generated on the same threshold by adding some intelligence to it. It has the ability to do that Intelligence part. That is why it is called ITSI.

We have both on-premises and cloud deployment models. Its deployment is difficult for a beginner user. You need a consultant or somebody experienced in Splunk ITSI to implement it properly. Splunk ITSI is a premium product. You need very good Splunk infrastructure initially to run this on top. To run it properly, you should have good knowledge. You should at least have Splunk Architect-level certification. Otherwise, you can implement it, but it will not work properly or as you expect.

It is mostly a clustered solution. It is not normally done on a single server. We need to build the entire cluster. The initial build probably can take two weeks. Configuring everything can take a long time. Six months can be considered a good time to make it run properly for enterprise usage.

It needs regular upgrades, backups, and time-to-time updates to the system configurations. It requires a dedicated team. Once it is properly set up, less than ten people can manage it.

I am an ITSI consultant, so I am not a user. I set it up for customers.

The number of people required depends on how much data we need to bring in. If we have a lot of data and a variety of systems, more people are required. If we are just focusing on a singular system, one person can do the job.

In an enterprise environment, there are a multitude of systems and monitoring requirements. Usually, there is a team onboarding data and setting it up. 10-15 people are a good choice for a big enterprise, like a banking client.

It is more of a premium product. I do not have much visibility into pricing because it is taken care of by high-level enterprise customers. I just ask for the license that I need and they negotiate. It all happens between Splunk and the company. I know that it is expensive, but I do not think there is another solution that can do similar things for that price.

To someone who already has an IT alerting and incident management solution but is considering switching to Splunk ITSI, I would say that it will add value to their organization. It can reduce a lot of noise. I would suggest going for it, but it should be the right implementation. You should have knowledgeable people to implement it from the beginning.

It is not something that you just buy and switch on and will start working. It needs a lot of configuration and proper configuration to make it run properly. That is an important part for Splunk ITSI. It is not just the product. The person who is implementing it should be very good. Then only its value can be seen. Otherwise, you have the application but may not get the right value out of it.

Overall, from my experience, I would rate Splunk ITSI an eight out of ten.

Splunk ITSI (IT Service Intelligence) is primarily used for managing alerts and events. It helps me monitor different APIs in inbound and outbound scenarios and triggers alerts. The tool is primarily used to handle threat intelligence and manage event alerts, despite certain limitations like false positives.

Splunk ITSI has enabled us to better manage events and alerts, aiding in quicker data retrieval and enhanced system uptime. Its ability to correlate multiple event sources allows for comprehensive integration, which has been valuable in improving our organization's security posture.

Splunk ITSI allows for integration with threat intelligence, enabling my organization to correlate more than two events for generating alerts. It has a swift data ingestion and retrieval capability due to its robust query language. The system helps reduce data loss and improve event management, offering a platform for various deployment models. The global trust in its capabilities is evident, especially given the preference by financial sectors. Additionally, having features like IT Service Intelligence enhances our organization by providing actionable insights quickly, which is crucial for operational efficiency.

Splunk ITSI could benefit from including more features that other solutions support, such as vulnerability management modules. This would help manage vulnerabilities effectively, allowing my organization to track patch management and compliance more thoroughly. It would be beneficial to include a feature that provides comprehensive vulnerability management similar to open-source solutions.

I have been working with Splunk ITSI (IT Service Intelligence) for nearly two and a half years.

Splunk ITSI is quite stable, and I would rate its stability at around eight point five to nine. The setup, however, must be done correctly as incorrect deployment can lead to issues.

Splunk is highly scalable, with the ability to expand efficiently. I would rate its scalability at nine.

Having worked closely with Splunk support engineers, I've observed their high capabilities in resolving issues. The technical support is excellent, and I would rate it at ten.

Positive

Previously, we have used other solutions like Wazuh and IBM QRadar. We recommend Wazuh primarily due to its lower cost and robust capabilities, although it may lack in certain areas where Splunk ITSI excels.

The initial setup for Splunk ITSI can be a complex process, especially when compared to the simplicity of open-source solutions like Wazuh.

Pricing can vary significantly based on the selected modules and deployment choices. Splunk ITSI tends to be more expensive compared to some open-source solutions.

We have evaluated several solutions, including Wazuh, IBM QRadar, and other open-source platforms.

Overall, I would rate Splunk ITSI at nine or nine point two. I would recommend it for enterprise-level organizations due to its cost implications; smaller companies may prefer open-source solutions to reduce expenses. The solution could improve by integrating more vulnerability management features. I would rate the overall solution at nine.

We used Splunk ITSI to monitor service health and key performance indicators across various servers, such as CPU, memory, and disk utilization—advanced detection capabilities based on defined thresholds and triggered alerts. Splunk ITSI, integrated with ServiceNow, facilitated alert generation and management. Additionally, we leveraged ITSI for event analytics and created glass tables based on configuration items. We monitored specific KPIs and generated alerts via ServiceNow based on established thresholds to meet customer requirements.

Some clients have Splunk ITSI deployed in the cloud, and others are on-premises.

Using a client example, I'll explain the end-to-end visibility provided by Splunk ITSI. We have over a hundred clients in our environment. Once we onboard client data, such as cloud data, we subscribe to that cloud service and integrate the data into our Splunk environment. We then create data models and correlations integrated with the ITSI service. Within ITSI, we create correlation searches and schedule them to run regularly. Each time the Splunk schedule runs, it generates notable events and checks policies to determine if an event qualifies for a ticket. If it qualifies, an episode is created in ITSI, and a ticket is automatically generated in ServiceNow. This is the complete end-to-end process within Splunk ITSI.

We use predictive analytics based on the threshold values to help prevent incidents before they occur.

It does not take long after deployment for our clients to realize the benefits of Splunk ITSI because it immediately reduces alert noise.

Both Splunk ITSI and Splunk Enterprise Security handle incident management, but Enterprise Security utilizes common data models for improved detection. ITSI employs an "episode review" concept to analyze incidents, examining their generation, root cause, trigger alert, and any alerting failures. This provides comprehensive observability of each episode. Similarly, when integrating Enterprise Security with customer systems, pre-built common data models generate alerts that require monitoring to determine their cause, priority, and severity.

Splunk ITSI, using the correlation through event management, can reduce our alert noise.

We can correlate information to receive only relevant alerts, allowing us to quickly respond to issues.

The most valuable feature is event correlation, which ensures that only one ticket is generated per issue, eliminating duplicates and reducing noise from multiple alerts. This significantly streamlines issue tracking and resolution. Additionally, the system analyzes service performance by identifying areas of impact and tracking key performance indicators. This deep-dive analysis allows for the precise identification of issues and facilitates data-driven improvements.

While integrating services and KPIs in ITSI is straightforward, I found it challenging to analyze them with the service analyzers; specifically, using the deep dive feature to pinpoint the exact source and time of an issue proved difficult. Although I'm proficient in service analytics management, the deep dive aspect requires further development.

I have been using Splunk ITSI for two years.

Splunk ITSI is stable.

Splunk ITSI is scalable. It is easy to scale on the cloud platform.

The Splunk support team is adequate, but their response time is slow.

Positive

The deployment is straightforward. We acquired a license and integrated it into our current Splunk environment.

Splunk ITSI is a premium application and comes with a premium price tag.

I would rate Splunk ITSI nine out of ten. Splunk ITSI is a valuable tool for IT and operations teams.

I recommend Splunk ITSI. It's an excellent tool for infrastructure monitoring, direct management, and service analytics, providing a clear, consolidated view of your IT environment.

I use ITSI for different companies but with the same objective: to correlate alerts from different sources and assess them according to multiple frameworks. For example, I can combine the alerts from different sources into a single episode. The analyst can resolve the issue without looking in multiple places to get the necessary information.

ITSI was initially challenging, but you can pick it up quickly once you understand the concept. It also depends on the goal. Combining different sources into episodes is one thing, but integrating ITSI with automation or other ITSM solutions may take longer. 

The solution has a forecasting module. You must have a good infrastructure because AI takes a lot of processing, but it works well. Based on previous data, you can assess it in 30 minutes or so. Having that predictive ability is a lifesaver. 

It can streamline incident management. ITSI has a feature called Teams that lets you control access to different services to control which teams are responsible. You can control permissions and everything else. Everyone is assigned to a team with a unique experience while using the frame of the platform.

ITSI has a feature called NetFlow. It depends on what you plug into it, but in my use case, we usually click alerts before they become incidents and measure how many alerts become incidents to get an idea of how much it's helping to resolve things before they turn into incidents and have an impact. 

It has helped to reduce alert noise because we can group alerts from different sources into one ITSM ticket with information from various sources. This helps our team resolve the issue because they only need to look at a single ticket instead of opening multiple ITSMs to gather all the necessary information to assess the problem.

The amount of alert noise reduced depends on the maturity of the environment. When you set up rules to aggregate events, you have to know some information about those events, like the team that created them, the system they belong to, the impact, and whether they're infrastructure, a service, or an application. If you have those all set up, it could be a 75 percent noise reduction.

ITSI reduced our meantime to detection because ITSI is plugged into each search, and as soon as an event is detected, it's processed and sent to the responsible team. It has helped us to detect issues and resolve them faster so we can provide more information upfront to IT.

It helps the IT team resolve things faster, but it depends on the information that ITSI is grouping. If you have enough information to find the root cause, it can help to resolve everything quicker. For example, let's say an analyst is looking at five impacted services, but one of them is the root cause. If we can provide that information upfront to the analyst, he can resolve the issue much faster because he doesn't have to look at each separately to assess the cause. 

ITSI has helped us automate some tasks. Many issues aren't easily solved. You must have good communication with the team and analysts to see the steps they take to resolve something, but it can tackle the most common issues and free up time. But you must be careful not to automate something a developer should fix. Automation helps a lot, but you can't automate everything. 

What I like the most is the event correlations. It's a file structure, and ITSI has a correlation layer where you can normalize the events from different sources. Once these events are normalized, you set up rules to aggregate them into different or the same attributes. After the rules are defined, you can automate the process to solve the issue automatically. 

Generally, the visibility is decent, but you need to set it up properly to have good visibility in a way that makes sense to see the issues you need to see. In ITSI, you have the concept of services and a service tree. If it's set up correctly, it can help you find the root cause of a problem. You need someone who understands ITSI and your business. 

One thing ITSI could improve on is the maintenance windows. I have a huge case where I had to implement something related to the maintenance window. If you try to look up the issues in ITSI, you have to check the incidents individually, and putting hundreds of hosts in maintenance can be a hindrance. 

I have used Splunk ITSI for four years.

I rate ITSI nine out of 10. I've had issues before, but they are usually caused by the configuration or infrastructure. You have to be careful when deploying Splunk across your infrastructure. 

ITSI is scalable, but its engine is somewhat of a weakness. The engine runs on one machine, but ITSI is scalable because even though the engine runs on one machine, it assigns processes to other machines to work on. You can do well with ITSI horizontally, but sometimes, you need to think vertically because the processing takes some memory.

I rate Splunk support seven out of 10. Like any support, how fast they respond depends on the priority. Overall, they've helped a lot and were willing to enter a call to see the environment and the issues themselves. I would say do a good job overall.

Neutral

The complexity depends on your infrastructure. It's a lot easier if you have a single instance, but deploying on a cluster requires a little care. The package formats are specific to the roles of your cluster. We have to be careful with that. It's not too difficult. You can set it up in a day or two if you read the documentation. 

One person can set it up, depending on the size of the cluster. For example, if it only has two machines, one person can do it easily. You can set up a batch script to accelerate the installation. If you have that setup, you can do it easily in a day with one person. If you don't have that, it could take up to two days if you don't have much experience with ITSI.

I rate Splunk ITSI eight out of 10. I would recommend Splunk ITSI, depending on the company's context. If the ITSM solution they have serves them well, I don't think it's necessary to switch to ITSI because it's costly. I would only recommend it to someone who knows they will get a return and have the capital to invest. Small companies probably have a bit of difficulty using ITSI. If you're a big company having issues, ITSI can help you out. 

I recommend new users read the documentation carefully and watch a few videos on it. The first thing is to wrap your head around the concept. If you try to speculate at once without understanding a few things, it could be a lot more difficult. It's helpful if they stop and read the documentation to understand each piece.

I use the solution in my company for event management and areas consisting of episodes.

Splunk ITSI (IT Service Intelligence) has helped our organization correlate events into episodes.

The most valuable feature of the solution is event analytics, and it is because that was our core function when we moved from NOC to IBM Netcool Network Management and then from IBM Netcool Network Management to Splunk ITSI (IT Service Intelligence).

The main benefit I have experienced from using Splunk ITSI is that it has been helpful to have one consolidated tool.

My organization monitors multiple cloud environments using the product. In terms of the ease or difficulty one may have when trying to monitor multiple cloud environments, it is tricky. You have to learn and test things out.

It is important for our organization that Splunk ITSI (IT Service Intelligence) provides visibility into our cloud-native environment, but I would say that it is done in the dev and production environments.

Splunk ITSI (IT Service Intelligence) has helped us with the organization's business resilience. My impression of Splunk's ability to predict, identify, and solve problems in real-time, is that with the new AI feature set coming in, users can apply that logic to the episodes.

I have experienced cost efficiencies by switching to Splunk ITSI (IT Service Intelligence). The doc suggests that too has one pane of glass to go into the system and do automation straight from one page because they get hit with thousands of alerts and alarms every day, and we try to correlate that to a simplistic event.

I have experienced time to value using Splunk ITSI (IT Service Intelligence) over a couple of months.

Splunk's unified platform helps consolidate networking and IT observability tools but not security because our company is not in that space. The consolidation of tools impacts our organization since I feel it is easier to have fewer tools than more.

The dashboard function inside the individual episodes, not at the ITSI Notable Event Aggregation Policy level but actually at the correlation search layer, is an area where improvements are required.

In the next release of the tool, the product should offer a dashboard ID in the correlation search.

I have been using Splunk ITSI (IT Service Intelligence) for five years.

In the early days, the Java-based engine was kinda buggy, and some of the interfaces for Splunk ITSI (IT Service Intelligence) and event analytics needed to feel new and not outdated. It still kinda feels outdated, and I feel like Splunk hasn't really put a lot of thought into such a specific area in the last few years.

The solution's scalability is fine.

The solution's technical support team is okay. For most of the stuff I escalate, I have to always wait for a response from tier-two or tier-three level support.

I am used to solving stuff myself and providing a lot of debugging as to what tier-one or tier-two level support would do, and by the time I get to the aforementioned spot, I see that I have to wait and explain a lot of cycles because I am doing the same research as level one or level two support. I rate the technical support a five out of ten.

Neutral

I have experience with Tivoli Netcool, which is a legacy event system from IBM that has the same or similar approach as Splunk ITSI (IT Service Intelligence). I saw that Splunk ITSI (IT Service Intelligence) provides the same features as Tivoli Netcool.

When it came to the deployment part, Splunk's professional services did not know much of what our company needed, considering the level that we were expecting from the product. I come from a telco background where the company used to deal with 1,00,000 alarms a day, and event analytics wasn't something that was really built for it in the beginning when I first deployed it. There were a lot of learning curves that I had to go through to deal with the tool. As I continued to grow with the product, I started pitching probably around 20 ideas at a time to the team, and a lot of my ideas actually made it to Splunk's GA launches. I worked with Isha, Ross Wilkinson, and another person who was right in the middle between them. Though I had spoken to the senior VP of a particular sector and pitched the idea of using Fandom for IT automation, it eventually died out.

The solution is deployed on an on-premises model. I use the cloud services from AWS.

Splunk directly helped with the product's deployment.

I have experienced an ROI using the tool, considering the efficiency it offers so that we do not have to take care of certain functions.

Pricing was pretty good, and it is possible to just add on the features we want.

I considered Resolve systems for automation and a tool named Moogsoft. Moogsoft has a lot better visual capabilities and looks better than Splunk ITSI (IT Service Intelligence) when it comes to event analytics. I am hoping that with a better dashboard, Splunk ITSI (IT Service Intelligence) can build a better UI layer.

I feel like there is a lot more that can be done in the tool, but I don't know if it is going to be a dying product or if Splunk Observability will try to take over some of the core functions of Splunk ITSI (IT Service Intelligence).

I rate the solution a seven out of ten.

I have used Splunk ITSI to build a lot of glass tables and set up thresholds. We have also used MLTK for machine learning, predictive analytics, and anomaly detection. We use MLTK, which is an external application. We can get notified of issues well before the time to take proactive action.

We use core Splunk and Splunk IT Service Intelligence. It is a multisided cluster environment. Whenever the customer wants glass tables, notable events, or to set up some alert notifications, the product has helped our organization. We can set up our own threshold activities. We can also add ad-hoc searches in the solution. We can get the data of the indexes and alerts tracking by writing a search query.

The glass tables are very helpful. The solution also provides topologies showing exceptions or criticalities whenever something goes down. It is very helpful for customers. The notable events, glass tables, and setting up thresholds are the most valuable features of the solution.

Every customer has a different need and their own customized threshold settings. Some customers need 99% as critical, and some need 80%. We can set the customized thresholds in the product and get the alerts.

If the product had some prebuilt machine learning features, it would add value to our use cases. It would be very good if the product had some in-built predictive analytics and future forecasting features.

I have been using Splunk for almost four years.

The support depends on the licensing we use. There are different licenses available based on the volume and vCPUs. We use the license based on vCPU. It depends on how many virtual CPUs we use. It would be good if Splunk could give on-demand support.

Whenever we raise a support case, the support team follows the SLA and gives us a response. Sometimes, companies will also have on-demand support based on the support credits. Companies generally expect support persons and engineers to join the Zoom sessions when P1 and P2 issues arise. The support team takes a long time to join the meetings at such times. If we can have an engineer join the Zoom sessions right away, it would be helpful for the customers. The support team needs to respond quickly to P2 issues.

We had a P3-level case with a severity level of S2. It was a corrupt bucket issue. The case was in open status for six months. Generally, we don't need six months to fix a corrupt bucket issue. If the support case had been escalated to a higher-level engineer with advanced knowledge in debugging the issues, it would have been easier and would have taken less time.

Neutral

We have been using Enterprise Security. It is for intrusion detection and threat intelligence. It helps our enterprise security team to find vulnerabilities and take proactive actions. We started using Splunk IT Service Intelligence because it gives us some good topology if we build glass tables based on our data. The product provides us with service intelligence.

The deployment process is straightforward. It is the same as core Splunk. The solution uses summary indexing, itsi_tracked_alerts, and itsi_summary_metrics indexes. We must ensure these indexes are available and have a good retention policy.

Our customers have seen improvements in resilience and cost.

It would have been good if the product cost was much lower.

We chose Splunk over other vendors because it is much more reliable. We have done a POC to test how well the tool can help the customers and provide good value to their business. We have used other products like Elasticsearch and Cribl. However, we feel that Splunk is better. Log monitoring is very important to customers. Other log monitoring tools are not user-friendly and flexible. It is also not easy to write search queries on them. However, it is easy to write search queries on Splunk. It also has bucket lifecycles. It is easier to have a centralized repository to maintain and use the data.

Our clients monitor multiple cloud environments. We get data from different third-party clouds like Google Cloud, Microsoft Azure, or AWS. Sometimes, we also use Snowflake. Customers mostly try to build out their own dashboards and knowledge objects. They use Splunk IT Service Intelligence to be notified about any exceptions or critical issues. 

We cannot integrate the product directly with the cloud applications. First, we have to integrate our core Splunk with different clouds. We must first integrate add-ons using Splunkbase, a REST API mechanism, or an HTTP Event Collector (HEC) mechanism into core Splunk. Then, we can use the same ad-hoc search in Splunk IT Service Intelligence to get proper glass tables and results. It's easy to monitor multiple cloud environments using the solution, but we could directly integrate with it if it had the right integration features.

It is important for our organization that the solution has end-to-end visibility into our cloud-native environment. In today's world, most data goes into the cloud. Every organization wants to move the data to the cloud so that it would be more reliable and they can get the data easily. It's less cost-effective as well. So, most organizations are going to the cloud. It's really beneficial and important to the customers because they can easily get the data from the cloud and perform cost optimizations. Managing cloud-native environments with the solution is cost-effective.

The product has definitely helped reduce our mean time to resolve by 70%. If it has built-in machine learning or artificial intelligence techniques, it will be helpful to reduce the remaining 30%.

The tool has helped improve our customer's business resilience. Different SIEM applications and tools are available for enterprise security in today's world. Splunk's next version will have enhanced SOAR features. It will be useful if the product has additional features to help customers and organizations.

We used the MLTK app from Splunkbase and deployed it in Splunk IT Service Intelligence. It helped us to do predictive analysis, forecasting, and anomaly detection. It helped us gain some insights. I rate the tool's ability to provide business resilience a seven out of ten.

If we have a Splunk add-on for Unix and Windows, we can use those add-ons in our core Splunk to get the base monitoring, like OS metrics. For these things, Splunk has PowerShell scripts. It runs every five minutes. So, it is not in real-time. Every organization would need real-time monitoring. The product should provide these features in real time. For OS metrics, we use custom thresholds.

Our customers see time to value within seven days. We implement Splunk with minimal architecture, like two deployment servers, two heavy forwarders, four indexes, and three searchers. We initially had the search factor as two and the replication factor as two. We had very little data initially. We tested in our lower environment with the POC and found the data the customers wanted to see in Splunk. It was helpful for the customers. They can find the exceptions, write their own search queries, and build their own knowledge objects.

We get different types of security management tools in the market, like Enterprise Security, SOAR, and Phantom. The product brings a lot of value to the customers. It gives a lot of insights into notable events and predictive analysis. It also has a good dashboard. I expect the solution to provide enhanced features in the upcoming release.

Attending Splunk conferences provides us with an opportunity to interact and get more details on the products from different vendors. More than 1,000 vendors attend the conferences. The more we interact with the vendors, the more insights we get from them. It is also helpful to build relationships with the vendor.

Overall, I rate the tool an eight out of ten.

I just had to monitor the dashboard and infrastructure alerts and escalate them to the appropriate teams.  

I used it for both performance monitoring and incident management. We had an IT infrastructure setup on Splunk ITSI itself. There were dedicated dashboards created by the admins, and we had to monitor these dashboards for the performance of our infrastructure assets, such as the database or infrastructure access. 

We had to monitor these alerts and escalate them to the appropriate teams. For example, if a network alert showed up on the system board, we had to escalate it to the network team, such as, "We are seeing this kind of alert on the ITSI app board; please have a look into it." So, that's the main task on the Splunk ITSI app.

Splunk was initiated for monitoring dashboards and to have our infrastructure integrated into Splunk itself. We have several servers, databases, and multiple services running. We have applications that were dedicated to the service provider. So we had our Splunk IT set up on those servers.

Basically, to keep these applications running smoothly or to have a smooth flow of these applications, we integrated everything on Splunk. And, we need to be resilient and proactive so it doesn't cause any impact to the customers and clients and doesn't go down. We set up our monitoring dashboard on ITSI, which keeps us in touch with how the performance and health checks are going on for these components and applications.

It has a clear understanding of how different environments are related to each other. It has pretty much everything integrated within it. You just need to click a few on the board and whatever details you require are there. So, I find it pretty useful.

For predictive analysis, we have access to pull-out reports on whatever packets are integrated into our system, whatever the packet reinsurance, packet alerts, or whatever has been generated in the system. We pull out these reports based on the previous data and incidents or alerts in the environment. 

Then, after analyzing the previous data, we identify what was causing the incidents or alerts. Based on that, we have taken action to prevent incidents in the environment. So that was a really helpful feature as well because having access to the backend itself helps to identify the previous causes or incidents in the environment.

I liked how it's integrated in such a way that it's really user-friendly. You don't have to do much. Within a few clicks, you get all the data that you need, like what the server is, what the issue is, and how it can be resolved. It was all integrated into the tool itself.

I found it very easy to identify the server or the root cause. So, it helps to resolve the issue on a priority basis or as soon as possible.

The event analytics in Splunk is integrated to help avoid such incidents. Whenever we see such alerts on the board, we have to take immediate action to avoid any incidents in the future.

Sometimes, an incident happens, like the application goes down, and we receive the incident. At the same time, we receive multiple alerts on our dashboard. So, we have to escalate these alerts along with the incident call and incident procedure. We keep the teams involved by saying, "We are seeing this kind of alert on our ITSI dashboard. Please have a look into it or try to get it resolved." It provides the information IT needs about the server, database, and network connectivity. So, it was easy to identify issues when we had such alerts on the board.

Reduced incident volume: ITSI reduced our incident volume by 20 to 25%. It was really quick, and we were able to investigate whatever incidents or alerts happened in the environment. It was really good. It was really quick to identify such issues and previous issues in the environment. So, it has reduced the MTTR, the mean time to resolve an incident, by 20 to 25%. So it's really helpful.

Alert noise: I didn't see it reduced because whenever we introduce a ticket to ITSI, our system is already integrated into the service. And along with that, we are already migrating from other tools to ITSI itself. So, I'm not quite sure that it reduced it because we are continuously adding servers to ITSI. It increased our count of alerts. But I couldn't comment on that because we are continuously adding our infrastructure to ITSI. So, I haven't identified any reduction.

ITSI reduced our mean time to detect whenever we have seen any meantime to detect alerts in the environment; we get them within a fraction of a second, so we get to see the alerts on the board immediately. It is reduced by 20% to 30% as well.

It continuously refreshes itself within two to three minutes, so it's really reduced our time to detect that part. 

Splunk ITSI helped us automate routine tasks. For example, we have a daily task where we have to pull out the daily report. Based on that, we have to access whatever incidents or alerts happened or occurred during the day. 

We have to pull out the report and get all kinds of data, the details of what we have done and the kind of alerts we have seen in the day. Then this action has been taken or maybe escalated. So it was really helpful to get such data on a daily basis.

From my perspective (since I don't have administrator or developer access to Splunk ITSI), we could have a better user interface. The Splunk ITSI user interface can be improved because whenever we see the dashboard, it's mostly in text format. It doesn't have a graphical view.

It's easy to identify issues or alerts if you have a graphical representation on the dashboard. I have seen several dashboards in Splunk ITSI which have a really good graphical interface, but the integrated dashboards we have do not.

I'm not sure if it is configured in such a way or not. Maybe a developer or administrator can access that, but I feel like Splunk ITSI having a good graphical user interface would really improve the visibility of the dashboard and alerts.

I have been using it for more than a year. 

From my perspective, it's pretty much stable. We haven't experienced anything bad or any technical downtime apart from the scheduled downtime. So, for me,  the stability is really good.

It is scalable, but we didn't get to experience the scalability part because it was developer- and admin-related.

For just one location, we have more than 500 people who can access Splunk ITSI, including the technical and monitoring teams. Considering the different locations as well, it would be in the thousands, but I'm not sure about the exact count.

The customer service and support are quite useful. Whenever we faced an issue on our Splunk ITSI server, or if alerts weren't updating, showing proper data, or generating detailed alerts, we reached out to the Splunk technical teams for support. 

They are really supportive, with quick responses and a solution-oriented mindset. They provide solutions right on time. The DevOps support provided is really good.

It was pretty good. I didn't have any bad experiences.

Positive

We had several tools before introducing Splunk ITSI. We had several other tools to monitor network, Windows, Linux, or other portal alerts. 

While having Splunk ITSI, we integrated everything into that. We have decommissioned all of the other tools, and everything is on the IT side.

I have worked on ThousandEyes and Spectrum. These tools were used to identify network alerts. We had Spectrum alerts used for network device alerts. And for ThousandEyes, we used it for the portal alerts, for each and every infrastructure component or service. We had different tools integrated to have such alerts on the board.

So, to reduce having multiple tools, our management team introduced Splunk ITSI because everything is integrated into it. It was really helpful to have just one tool for all of our components instead of multiple app tools.

For us, it's on-prem, not on the cloud. We were planning to move it to the cloud, but it's currently on-prem.

Splunk ITSI requires maintenance. From time to time, we have downtime to integrate other tools into ITSI.

The integration of ITSI with other tools enhanced our operational capabilities and has been really helpful. To access a few other tools apart from ITSI, we have to do several things to get the data from the tools themselves. And I find that these tools are pretty slow. 

Getting the data or accessing anything on those tools is really time-consuming but ITSI was quick. We don't require special tools or special access to that environment. We have IDs created for our individuals, and we just need to access ITSI. It was pretty quick, and we didn't need to do much hard work to access all the data. It's really quite useful in that aspect.

It was already introduced by the technical teams or maybe the administrator or developer. We just had it served on a plate, so I don't have much exposure to the development part.

It was deployed for multiple locations and departments. The network, database, Windows, and Linux departments also have the same dashboard and infrastructure to integrate their servers and alerts into Splunk ITSI. So, having exposure to multiple departments and on-prem environments is really helpful.

It was an easy tool when we also used other tools, such as ITSI. To access those tools, we had to log into VPNs and other stuff to get access to our dashboard. 

But with Splunk ITSI, I find it really useful. It was quick, it had all the information you needed, and it was customizable. You don't need to do much to access our infrastructure data. 

Within just a few clicks, you can get whatever you need from ITSI. I find it quite useful. I'll compare it to the other tools as well. It provides good insight.

It saves a lot of time. Whenever we have an incident in the environment, we use to do our priority checks on Splunk ITSI. Whenever we see such an incident, we have to investigate the previous data, see if any previous incidents happened in the environment, or maybe check if any alerts were generated in the system related to that issue. So it is quite helpful whenever we see incidents in the environment.

We have several tools along with Splunk ITSI, but I find Splunk ITSI very useful compared to the others. So I would rate it 70%. I'm satisfied with that. We don't have admin or developer access to Splunk ITSI. But whatever we have access to, I'm definitely 70% sure that ITSI is really good to have in the environment.

On the manpower, it has been reduced by one or two candidates because, obviously, we also use several tools as well, so we have a lot of strength there. However, after we integrated everything on the Splunk ITSI, we reduced our manpower, and it's less time-consuming. Each one can double their task for maybe two weeks their actions as quickly as possible as compared to the other two. Manpower, it's really helpful.

I would recommend Splunk ITSI because it gives you access to all the information you need, and it's just a few clicks away. You just need to know how to navigate through the tool. Apart from that, everything can be done on Splunk ITSI. It's just a matter of how much knowledge you have to access the data in Splunk ITSI.  

Splunk ITSI is really helpful because whatever data you need, you're just a few clicks away from it. That's a really helpful thing to have.

I would definitely recommend it to other users because it gives you really good exposure to the environment. Whatever data you need is quickly accessible.

Overall, I would rate it an eight out of ten.

Splunk ITSI has been a great aggregator for creating dashboards for all our app teams when we ingest logs.

Splunk ITSI has been the central location for log aggregation and information via dashboards.

The most valuable feature is the aggregation of the metrics and the relative ease of getting them away from search. The solution has helped save time by getting the metrics into the dashboard to get their information.

When we first started, a lot of users were hitting search. We have an ingest pricing model, and a lot of our ingest was going sky-high. By converting more of those users to Splunk ITSI, we were able to bring down and standardize them using uniform metrics. This prevented them from using the search function all the time ad hoc and pulling down tons of data.

Our organization monitors multiple cloud environments, including AWS and Azure. Splunk ITSI has been good so far for monitoring the AWS environment, and we have several teams on the AWS platform.

The end-to-end visibility that Splunk ITSI has into our cloud-native environment is very important for our organization. More of the values are shown daily and weekly. As a result, we get to continue expanding with teams to build Splunk ITSI dashboards.

Splunk ITSI has helped reduce our mean time to resolve (MTTR). 50% of the time, we have Splunk ITSI dashboards created. Then, we can quickly go in and reduce the mean time to discover. It's really about discovery and identifying root causes. This past week, we could quickly provide the app team with our observations and suggestions, and it was very valid.

This process could have taken days. On the contrary, we took the first five minutes to look at the Splunk ITSI dashboard, followed up with a basic query, and then returned with our observations.

Splunk ITSI has helped improve our organization's business resilience because it allows the app teams on AWS to correlate anything they see from a downtime perspective that minimizes impact on customers. We're investing in Splunk ITSI because it can predict, identify, and solve problems in real time.

After implementing Splunk ITSI, we immediately saw time to value. With the first couple of dashboards, we could immediately see an improvement in our app teams and the monitoring team's relationship with them.

We found Splunk ITSI to be the platform that helps consolidate networking, security, and IT observability tools. It's going to be a game-changer for us to pull a lot of the tools together. We always look for opportunities where Splunk can be the only tool of choice. However, Splunk ITSI is a great aggregator when we use other tools like AppDynamics and Dynatrace to pull information from cloud environments.

It also provides visibility and data correlation. You won't get to one point where you will use Splunk ITSI for everything. However, it can be the one-stop shop for data aggregation and realizing the data's value.

Splunk ITSI has been the central part where Splunk engineers go to create dashboards for the app teams.

Splunk ITSI should include ease of integration and more templating.

I have been using Splunk ITSI for two years.

I haven't had any issues with the solution’s stability.

So far, we haven't had any scalability issues with the tool.

Splunk's customer service and technical support have been good, and we don't have any complaints. We have a good technical partner. We tap into our Splunk engineers almost weekly, and it's been great. We've had a couple of little hiccups in the past with some things.

I appreciate the customer service and the technical teams for being honest in discovering bugs and giving our team credit for taking things back that need to be investigated further or will go into future models. We've had some suggestions, and the team's really happy that Splunk listens.

Positive

We have seen a return on investment with Splunk ITSI. We've been able to get data faster in the hands of the app teams, but we don't have KPIs that measure more of the financial or business value.

I wouldn't say there's been an issue with the solution's pricing because we went through the AWS marketplace and negotiated directly with Splunk.

Overall, I rate the solution a nine out of ten.