Splunk Cloud Platform Reviews

My manager typically requests dashboards, alerts, and scheduled reports. Based on their specific requirements, I create reports and dashboards that visualize the data. We leverage the Splunk Cloud Platform to fulfill these needs.

Additionally, my teammates may approach me for insights. I analyze the data and provide them with these insights, which they then use for team meetings and further data analysis. This ultimately helps them make informed decisions.

Splunk Cloud Platform improves our incident response time by enabling the retrieval of large data volumes. The platform offers impressive search speeds, and we don't need additional SQL commands to optimize response times.

We saw immediate benefits from the Splunk Cloud Platform. Being able to access and analyze logs provided valuable insights.

Splunk's impact on decision-making is significant. I have access to all the data I need, and it is always reliable.

Splunk Cloud Platform's search modes are a powerful feature. There are 3 main modes: Fast, Verbose, and Smart. These modes allow us to customize our search based on our needs, which can significantly improve our response time.

Splunk Cloud Platform's dashboard could benefit from some improvements. While it functions adequately, it appears very minimalistic. It's built using a simple XML format, and while newer dashboard options have been released, it still lacks the visual capabilities of tools like Power BI and Tableau. While I understand these are different platforms, having a more powerful dashboard option for the Splunk Cloud Platform would be valuable.

There is a lack of comprehensive learning materials offered by Splunk to prepare for their certifications.

Splunk uses SQL as its search language. One challenge I've encountered is with subsearches used in joins. These subsearches can only handle a maximum of 50,000 entries. If our data set is larger, we won't be able to join it using a subsearch. This limitation has been a significant obstacle for me. I've searched the Splunk community forums, and even reached out to my colleagues and seniors for a solution, but haven't found a definitive answer yet.

I have been using Splunk Cloud Platform for 2 years.

It is reliable. In my experience working with virtual machines, any search lags are likely due to the VMs themselves, not Splunk.

I would rate the stability 8 out of 10.

Splunk Cloud Platform is horizontal scaling. So it is easy to scale based on the data we are using.

I would rate the scalability of Splunk Cloud Platform 9 out of 10. 

Deploying Splunk Cloud Platform requires knowledge of the Splunk architecture, the deployment server, and the components.

We have seen a return on investment.

The certifications are costly.

I would rate Splunk Cloud Platform 8 out of 10.

The maintenance required is minimal.

The resilience of Splunk is good.

I recommend the product.

Splunk Cloud Platform is a powerful tool for handling big data. To get the most out of it, understanding both the developer and administrator sides is beneficial. The platform offers broad compatibility with various technologies and allows for easy scaling to accommodate your needs.

Splunk Cloud Platform was very useful for us. With the on-prem setup, we had to maintain all the servers and take care of the upgrades, whereas with Splunk Cloud Platform, we did not have to bother about that. Everything was handled by the Splunk support team.

It was sufficient for us to monitor multiple cloud environments. The visibility that it provided into multiple environments was good.

We used Splunk Cloud Platform for business processes and security. It helped us a lot. On the business side, as a banking organization, it was helpful for reports and alerts. On the security side as well, Splunk was helpful. We could see any security breach. It was also helpful for smooth operations. If any issue happened or any server was down, it automatically alerted us.

Everything is maintained by the Splunk support team. Users do not have to maintain any physical servers. They do not have to maintain indexes and searches. It reduces a lot of work on the user side.

We integrated it with other applications in our environment. It integrates well. We did not face any issues on the integration side.

The reporting offered by Splunk Cloud Platform is also good.

I faced a few minor issues with Splunk Cloud Platform. In the case of knowledge objects, even a Splunk admin does not have access to delete them.  If we want to remove a knowledge object, we need to contact Splunk support and raise a case. After that, they delete it. They should give us access to delete knowledge objects. 

Everything else was good. It already had all the features. We did not require any new features.

I used this solution for almost ten months in my previous organization. Currently, I am not using it. I last used it about five months ago.

It was stable. We did not see many issues. Any issues were on the physical servers, not on the Splunk Cloud side.

It is scalable. We had more than 2,000 users in our organization. It was being used by more than 150 departments.

Onboarding end-users was easy. I was a Splunk admin, and I was also an end-user. I could provide access to other end-users directly.

Their technical support was good. I would rate them a five out of ten because we worked in the Australian time zone, and the tech support team that we usually got did not have much knowledge. They took time to resolve issues.

Neutral

In our organization, we used multiple products. We had Dynatrace and other products, but we mostly preferred Splunk. It was more user-friendly than others, and we could search everything easily. We could create dashboards. Other products were more difficult.

It took us a long time to switch from on-prem to the cloud. It took almost four to five months.

We took the help of the Splunk team for migration, but after that, we did not take their help. We took care of onboarding and other things. It was easy. If any issue came up, we contacted the Splunk support team.

I do not have much idea about the price. We previously used 1 GB at the cost of $600. Both on-prem and cloud licenses have the same price. There is no difference. 

It did not impact the cost because the costs of the on-prem license and the cloud license are the same. We did not have any issues with that. Overall, its price is reasonable.

I would recommend moving to the cloud because you do not have to maintain physical servers and infrastructure. Everything is handled by the cloud provider. 

Overall, I would rate Splunk Cloud Platform a nine out of ten.

Our Splunk Cloud Platform centralizes logs from all OT assets, allowing OT business units to request various insights. These insights can include how often assets cycle down, memory storage usage, or data consumption over time. They can then configure dashboards to receive alerts based on these specific metrics.

The biggest benefit I have seen using the platform is the alerts because most of our sites are remote in the middle-of-nowhere deserts. If something goes down, they don't have direct eyes on them. Thanks to Splunk's automated alert that notifies us if something is down, we can quickly respond to it before it affects any other systems.

We do have several cloud environments that we're using because we got the Splunk Cloud Platform last month. We are integrating them all into one location, so we are still determining the ease of monitoring all the cloud environments using the Splunk Cloud Platform. Before having Splunk, it was a huge issue because we had to go to different locations. Having it all in one location under Splunk will make it much better for us.

It is important, especially for our cloud team to have end-to-end visibility into our cloud-native environments through Splunk Cloud Platform. The more visibility we have the better it is.

Splunk Cloud Platform has significantly reduced our mean time to resolve because instead of us having to go out to the site or having somebody on the site tell us a few hours later there is an issue, it could be within minutes now that we can resolve the issue. After all, as soon as it goes down, we get the logs, we get notified, and then we can immediately go in and check it out. So it is a significant amount of time that Splunk is helping us reduce for resolution.

Splunk Cloud Platform's ability to predict, identify, and resolve problems in real time has been huge, especially because our business units are operational technologies. They generate revenue for us. That's how our business stays afloat because we're in the energy sector. So If something goes down or if they want a quick dashboard, the biggest thing we're to be using as well besides the alerts is the dashboards showing how quickly we're remediating vulnerabilities and showing where they are vulnerable. That's going to be huge for the business side and will help us a lot.

Splunk Cloud Platform helps consolidate network security and IT observability tools. The cyber group gets all the alerts, but we can direct it to which person we want to send the alert to. That's good because they can go to IT, which is where we're at, Cyber, which can potentially help fix the problem, and then networking too in case something goes down. That is one of the requests is if an on-site asset goes down, the network team can see why it's off the network. So it's good that it spreads out everywhere, and whoever can help fix it can be on top of it.

Alerts are a huge benefit because we can customize them to each business unit's needs. Splunk automates the process and sends email notifications directly, which saves me time.

The AI features will be a huge improvement for Splunk. Using basic natural language in English instead of writing a regex expression will be helpful. For example, I can tell Splunk AI that I need to get the logs from last week between eight AM and ten PM on a specific asset. Instead of me going in, doing the regex expression, and then having to Google what it is because it's super hard to do sometimes. That is the biggest area for improvement. Hopefully, it will be released soon because that will simplify things for me and non-technical people. 

I have been using the Splunk Cloud Platform for one month.

Splunk Cloud Platform is stable.

Splunk Cloud Platform can handle terabytes of data.

The support has always been great for the few times I have used it.

Positive

The deployment is super easy. We deployed the Splunk Forwarder file and from there, we have a batch file, a PowerShell file, and it runs in the background. The users don't even know it's being installed.

The implementation was completed in-house.

In regards to a return on investment, the metrics are the biggest thing. Data is everything. The business units enjoy the dashboards that Splunk Cloud presents. And it is quick to present them.

Splunk Cloud Platform fell within our budget so we pulled the trigger and implemented it.

I would rate Splunk Cloud Platform ten out of ten. All the applications I need are readily available in a user-friendly dropdown menu. Exploring them is a breeze, and the platform's speed is impressive.

We mainly use it for the purposes of analyzing application logs to get a bit of understanding of what is normal application performance and then use that to highlight errors and inconsistencies when they occur.

Resilience is incredibly important to us. We are in the medical field. It is insurance. When people are using our service, we should be able to provide that. Having that resilience is key for us because we are helping people. The resilience that Splunk offers has been valuable in that regard. There is peace of mind for us and our customers.

We have multiple cloud vendors that are being utilized in Splunk. It has been useful. Splunk is able to handle a lot of things out of the box. There is a good bit of value in being able to make sense of multiple types of logs in one environment and being able to cross-reference them. It has just taken a lot of effort out of that.

We have integrated it with other tools. At the moment, it has been with Cribl as a pipeline tool so that we can be agnostic with Splunk in some regards. Cribl handles the logs being sent to Splunk, and then from there, if there is anywhere else where we want to send them, Cribl can handle that too. That has been our main integration. The ease of integration varies. Splunk offers out-of-the-box support for some tools and applications. Integration with them has been quite simple. Other things have been a bit more difficult. Integration can be more difficult if it does not have a Splunk base, but there is a good range of things that are available out of the box.

Its reporting has been excellent. We have integrated it with tools like ServiceNow, so we are able to create an instance for teams and integrate it with our NOC. The reporting has been incredibly valuable.

I come from a monitoring background. I knew from the get-go the value that we could get from Splunk, but we actually started to see its value once we started enforcing logging standards. It made it very easy for us to validate if something was or was not following our standards.

It has been great from the compliance perspective. It began to show value to some of our customers when they were able to search multiple applications because of the standards and compliance built into it.

It has had an impact on the decision-making processes in our organization. It has been mainly around compliance. Given it is a financial and medical sector, decisions have been made around what information we are storing in the logs and how we are managing the data that comes directly from Splunk.

It has been good for helping our organization access data for compliance and privacy regulations. It has been useful for pinpointing things. We are able to ensure that we are abiding by those standards. It has been incredibly useful in that space.

Dashboarding has been very powerful. I work with a lot of different customers, so being able to tailor the data for different customers has been valuable. I am able to make visuals and have reports where they can self-serve.

It would be nice to see more comparisons between Splunk and other log management tools. There are some legacy tools that people are often coming off. It will ease the transition if you are coming off a Windows LogViewer or any other logging tool. Splunk could offer more advice on how to transition into it or onboard it.

I have been using this solution for two years.

I have not had any issues related to stability.

This is outside of my department, but it seems like it would be easy to scale up. However, there is a cost concern. That always seems to be the linchpin when people discuss Splunk. It comes at a cost.

When it comes to extensibility, they make it relatively simple, but it is an expensive tool. There are always going to be conversations that need to be had.

The quality of the answer has been good. We have had to leverage the support only a small number of times. We found the actual portal to get support difficult. Some members of the team were not able to raise certain types of requests. However, when we got through to support, we had no issues.

Neutral

Prior to Splunk, we had a mixture of things. LogViewer and Graylog were used. Some folks had their logs locally. There was not one central system. 

I was not directly involved in decision-making, but some of the things that I called out as useful were the analytical tools that Splunk offers. We can very quickly get to the root cause by using its query language. It provides a lot of power with little effort. That is what initially drew me to it.

Moving to Splunk allowed standardization. That is the key. It does not matter which part of the company you are from. Splunk has given us a mechanism to say that we expect the logs to look like this, and we all are going to abide by that. It has made standardization a lot easier. Previously, you would not know what you were getting while dealing with a logging problem.

I was involved in its deployment only in a small cluster. I was mainly involved in setting up standards around logging. It was challenging. It was dense, but it was manageable. The feature set of Splunk allowed us to know what we could or could not do.

The main part of maintenance is the ingestion of new logs. New teams and applications get stood up every day, or a new cloud vendor comes in, so there is some maintenance involved there.

We had Splunk technical support. We had a mixture of people from other departments. We had some folks from security, and we had some folks from operations. There were 15 regular faces and 2 Splunk contractors. We involved other teams on an ad hoc basis, but the core team had 15 people.

Overall, we had 20 to 30 people who directly worked with Splunk in some way or for some period of time. We also had to involve all of the teams to get their feedback and educate them on how to use Splunk.

I do not personally deal with that side, but from discussions, I know that it is one of the more expensive tools. I do not have anything to compare it with.

New users should focus on the Splunk free courses. They are an excellent resource. If you are a customer, you should take up the search and reporting classes. That is probably going to be what 99% of people are using it for day to day. If you are a sysadmin user or someone setting up the instance, there are free classes for managing licenses and ingesting data. I would highly recommend them. The free classes are a great start, and if you think it would be valuable, take some of the paid classes as well. They are incredibly detailed.

When it comes to security, we definitely have a stricter attitude when things are going to the cloud because they are not fully in our control. Going to the cloud is always a little bit scary, but we have put in a refined approach for the data going into Splunk.

I have not made much use of federated search. I have come across it, but it is not something I have leveraged.

I would rate this solution a seven out of ten. What it does, it does well, but I do have qualms with it here and there. There are obvious features that are missing from time to time, but I am happy with what is there.

It's a better pricing model. The main aspect is that we don't have to manage our infrastructure. Since we migrated, we've found we don't have as many outages. 

This allows our admins to focus more on the day-to-day onboarding instead of wasting time dealing with outages.

Our organization monitors multiple cloud environments. We monitor AWS. We have other logging platforms that monitor our infrastructure as well.

It's very important for our organization that Splunk Cloud Platform has end-to-end visibility into our cloud-native provider environments. With the increasing changes in technology, being able to consistently get insights into those new data sources in a quick amount of time is everything.

Moreover, we have seen a reduction in our mean lead time to resolve (MTTR). Our enterprise has some of those dashboards for incidents. Splunk is mainly used to resolve those incidents and identify what's wrong. Over year over year, these times are lower. And Splunk has helped with that. There's other operational things that are probably helping too, Splunk plays a big part, so it is helpful.

I like the Splunk Monitor console. I like how Splunk continually updates it with new features. We don't have to do anything on our end, we just get access to that. 

Splunk has some good dashboards that show us search or user search activity. There are some things that could cause the environment to go awry, like skip searches or searches that are more intensive. 

By being able to identify those, we could reach out to those customers and work with them on improving their standard practice. Since moving to SaaS, we're able to focus more on that.

There's one specific use case I work with. I work with some Splunk experts, and it lacks workload management rules.

It can identify specific dashboards e.g., or all-time searches. When I try to track back to the user, I don't have additional information within those logs to help me know, "This is the dashboard this guy accessed."

Instead of relying on those particular workload management logs, I have to do an investigation that takes time. It takes too much time when it shouldn't.

It's only been a full year so far. We migrated recently.

Stability has been so far, so good. Data is growing, not just for us but for everyone. From what we've seen, it looks like it's handling it accordingly.

We frequently engage with support now since we have a lot of incidents. They consistently ask for feedback on our support cases. We recently had something that was very urgent. Splunk was able to escalate it accordingly and get back to us with a solution. It means a lot to my management.

We've been with Splunk for several years now.

For the cloud, the deployment is easy. 

We just have the standard. We download our packages, upload them via the cloud, upload our apps, and use the App Inspect. 

Before on-prem, we had some CI/CD pipelines to deploy on-prem. Those change calls lasted up to an hour and a half just to verify the change was successful and that everything was coming in as expected. 

Cloud is just uploaded and deployed in a matter of minutes. That's a big plus. It saves us time and a lot of hassle. 

We use our valuable time and do not waste effort. We just work on more important things like onboarding new data sources as log data continues to grow.

By being able to have more time to onboard data sources with customers, we provide our company more visibility and value into our entire environment.

I have no major gripes other than some detailed grievances, so I would rate it an eight out of ten. 

We leverage the Splunk Cloud Platform for log ingestion. This allows us to create dashboards, alerts, and reports from security and application log data.

Splunk Cloud Platform offers real-time monitoring capabilities. It continuously ingests data from various sources, allowing us to track its flow. We can set up alerts to be notified of any anomalies, such as spikes in CPU or memory usage. These alerts can be configured to trigger email notifications, keeping us informed of potential issues. Additionally, Splunk Cloud Platform provides real-time dashboards that visualize the data as it's collected.

The federated search feature is useful for our cybersecurity team to complete their log analysis.

Splunk Cloud Platform offers seamless integration with other systems and applications. This is achieved through apps and add-ons developed by Splunk.

Splunk is a good reporting tool. It allows us to generate reports and attach them to emails in CSV or PDF format.

Splunk Cloud Platform has been instrumental in helping our cybersecurity team continuously monitor our data for anomalies and attacks. Its usefulness extends beyond security, though. Teams that ingest their logs into Splunk can monitor various services. If a service goes down, Splunk will trigger an alert. Splunk offers a robust monitoring suite, including dashboards, alerts, and reports. We can monitor system resources like memory and CPU consumption, application logs, Azure logs, and even Office 365 logs. For example, Splunk can reveal who sent emails, who participated in group email threads, and who added or removed members from Active Directory groups. This audit log capability allows us to investigate activity even months or years later. Splunk provides a wide range of use cases for our organization. We noticed these benefits as soon as Splunk started ingesting data.

Splunk has improved our decision-making process thanks to its clear dashboards that help us analyze information and make informed choices.

Splunk has been valuable as a compliance tool because it centralizes log ingestion. Any tool generating logs should be configured to send them to Splunk. This allows us to easily identify compliant applications – those whose logs are collected. Conversely, uncollected logs raise security concerns, as they represent a potential attack surface.

Splunk has significantly improved our organization's security posture. As a primary security tool, Splunk allows us to collect application logs, monitor activity for potential attacks, and conduct searches to identify suspicious behavior.

I like that Splunk Cloud Platform is managed by the vendor.

I like the Cloud monitoring console feature.

I like the support for all the apps and add-ons.

Splunk currently manages the components, which restricts our ability to access them directly. I would like to be granted read access to be able to review the components.

I have been using Splunk Cloud Platform for one and a half years.

The Splunk Cloud Platform is stable as long as we perform proper maintenance to prevent bugs.

This system is very scalable. That means it can be easily adapted to accommodate our needs. We can increase the number of licenses we use, or add more resources like CPU and memory. We can also request additional components, such as adding more user accounts if our team grows from four to eight members. Overall, the scalability of this system is a major advantage.

I would rate the scalability of Splunk Cloud Platform nine out of ten.

Splunk Cloud Platform offers excellent technical support that is both knowledgeable and responsive.

Positive

The initial setup is straightforward but it takes a month or two to complete because of the applications that need to be onboarded.

We first need to calculate the amount of data we need to ingest. Then, based on that amount, we can plan how much data we need to onboard and what components we'll need.

Two experienced people were involved in the deployment.

The implementation was completed in-house.

Splunk Cloud Platform is more expensive than some of its competitors, but it offers a wider range of features.

I would rate the Splunk Cloud Platform eight out of ten.

Splunk Cloud Platform is deployed in multiple locations.

Splunk Cloud Platform requires maintenance.

I recommend the Splunk Cloud Platform to others.

If you're using cloud services, Splunk Cloud Platform is a good option. It minimizes management overhead for you since Splunk handles the underlying infrastructure. Splunk Enterprise however requires more resources to manage.

We use the solution for application status alerting, user activities, and active directories. We use the solution for visualization, alerting, and analyzing events or incidents.

The most valuable feature of Splunk Cloud Platform is the alerting feature.

Currently, Splunk Cloud Platform is very easy to use and read. The solution's visualization for the end users is also good. However, setting up the solution or an alert is not straightforward. There's a lot of incompatibility and areas that you have to consider while setting up the solution.

All those things make setting up the solution very complex for regular people who know the business operation. So, they have to hire a third party or a technical person who doesn't understand the business to set it up for them, which usually creates a gap.

When someone who cares about the business and understands its operation sets up the solution, they would set it right. There's always a gap when a technical person or third party sets it up. It may lead to many workarounds to fix issues like alert fatigue or false security. Splunk Cloud Platform needs to be made more user-friendly because it's not user-friendly.

I have been using Splunk Cloud Platform for four to five years.

Splunk Cloud Platform is pretty stable, and I don't have any issues.

Splunk Cloud Platform is a scalable solution.

I usually go to forums and discussions to get answers to my issues. You might need a Splunk account username to talk to technical support. When most users I have talked to face a problem, they Google it. I don't know if the technical support would provide you with support if you were stuck.

I have previously used different solutions like DataStage, Datadog, Grafana, and ClickView.

We evaluated other options before choosing the Splunk Cloud Platform. But when a company buys Splunk services, the end users have to use what they have as a resource.

Splunk Cloud Platform is a really good tool for getting alerts and better information about incident management and maintenance. Because of the solution's complex setup, most alerts are set by developers or people who create multiple unnecessary alerts, creating alert fatigue. Compared to other systems, like Dynatrace, Splunk Cloud Platform is not a smart system for analyzing alerts.

As a project manager, I oversee the process of contacting the concerned parties, knowing what needs to be monitored and why they need the alerting mechanism. I was not directly involved in the scripting and adding Splunk Cloud Platform in the back end.

As business requirements change, Splunk Cloud Platform needs maintenance in terms of setting up different parameters, which is not an easy task.

Everybody uses the Splunk Cloud Platform in a different way. I would advise users to share their experiences about technical difficulties in the forums and community. Sometimes, others might go through the same problem without much documentation, and sharing your technical problems might help others.

Overall, I rate Splunk Cloud Platform a seven out of ten.

We utilize the Splunk Cloud Platform for log ingestion related to security and troubleshooting purposes.

Splunk Cloud Platform helps us with our security incident response. The cloud security logs are integrated with all the cloud providers.

The federated search feature enables us to search between Europe and the US, from one Splunk instance to another, all from a single location. This federated search simplifies how we handle data, making it easy to swiftly search for and manage information.

We monitor several cloud environments and find it easy to utilize the Splunk Cloud Platform for this purpose. Each cloud provider offers its own prebuilt dashboard, or customers can create their own.

The Splunk Cloud Platform offers excellent visibility into multiple environments. In the past, we utilized hybrid integrations, and they seamlessly worked right out of the box.

The reporting functionality provided by the Splunk Cloud Platform resembles that of the on-premise platform. It is readily available without requiring integration or the installation of reporting visualizations.

From a security standpoint, the Splunk Cloud Platform provides us with comprehensive visibility into all security logs. This enables us to implement security incident responses with great efficiency. Additionally, we have discovered that internal employees, such as product teams, are utilizing the platform as intended for various other use cases. For instance, it has proven valuable in troubleshooting performance issues and monitoring within Kubernetes. As such, we are leveraging a wide array of use cases within the company.

Splunk is a highly mature software that has been in the market for many years, which greatly influenced our decision-making process. Another factor was the user-friendly nature of the latest version, making it easy to initiate. We don't require a large workforce for installing components; it's as simple as out-of-the-box. Consequently, minimal time investment is needed for training.

The Splunk Cloud Platform assists us in accessing data to meet critical compliance and privacy regulations. For instance, this is particularly important for regulations such as GDPR and HIPAA. We are utilizing Splunk Cloud with a specific focus on HIPAA compliance, allocating extra attention to this aspect. In the case of GDPR, Splunk offers a range of built-in capabilities. For instance, it allows for log masking. Moreover, there are novel features available in Splunk Cloud, such as ingest actions. This feature is exceptionally useful as it enables us to mask the data before it's ingested into Splunk. Consequently, this approach ensures our adherence to compliance regulations, exemplified by GDPR.

The Splunk Cloud Platform has had a significant impact on our organization's security posture. It serves as our primary visibility tool and is the main source of trust for all login activities. Without Splunk, we would lose essential visibility and access to security updates. Currently, Splunk stands as one of the primary tools we utilize due to its utmost importance.

The most valuable feature is we don't have to deal with any back-end server maintenance because the solution is cloud-based.

The on-premises version of Splunk includes all the integrations, while the Cloud platform lacks certain integrations and is limited in terms of the number of supported apps.

The Splunk Cloud Platform is not a very mature solution; it has only been on the market for four or five years. While they have made significant improvements, there are still limitations, such as the absence of CLI access. Therefore, there are several limitations that still exist with the CLI. 

The standard support has room for improvement. 

I have been using Splunk Cloud Platform for four years.

The Splunk Cloud Platform offers 99.9 percent availability, ensuring that we never experience downtime.

I would give Splunk Cloud Platforms' scalability an eight out of ten.

Technical support needs more knowledgeable people.

Neutral

We used Sumo Logic in the past, but it wasn't an enterprise-grade solution, so it couldn't support the scale we required. Additionally, Sumo Logic lacked support for many integrations. The Splunk Cloud Platform fulfills our scaling requirements and integration needs. Moreover, our team possesses skills that align well with Splunk, making it a better fit for us.

The Initial deployment was very straightforward because we had the skills. But I would not say that this is straightforward without the skills. We need to learn at least the basics. 

The deployment took six months to create this multi-tenant environment because it's a highly specialized setting. It's distinct from a typical Splunk deployment that might only take a day or two. However, the process of configuring, migrating all the data from Sumo Logic to the new Splunk Cloud, and setting up the multi-tenant system along with product dashboards, required approximately six months of effort on our part.

We utilize Splunk in a multi-tenant manner, wherein we allocate costs back to the product teams in each department based on their usage. We are a healthcare company engaged in the development of healthcare applications tailored for doctors and hospitals. Splunk plays a pivotal role in assisting us with this endeavor. I would estimate that we have experienced a return on investment of approximately 30 to 40 percent.

The cost of the Splunk Cloud Platform is high, and in addition to the standard licensing fee, we also have a premium support fee.

Now, we are paying less because, instead of being charged based on ingestion, we are paying for SVCs, which stands for Splunk Virtual Compute. This implies that our costs have decreased. Despite ingesting a larger volume of logs, our expenses are lower than they were before. However, it's important to note that if our usage of the tool increases, our expenses will also increase. Therefore, this represents a distinct licensing model from Splunk's.

I would give Splunk Cloud Platform an eight out of ten. Splunk Cloud has shown significant improvement over the past four years, and I highly recommend it.

We operate two distinct Splunk Cloud platforms: one in Europe and another in the US. These platforms are linked through a federated search. This setup ensures that specific data, such as European data stored in the AWS cloud, is directed to the European Splunk platform, while data from the US Cloud is directed to the US Splunk platform. However, it's worth noting that all users primarily log into the Splunk US Cloud. From this point, they have the capability to transmit data to the Splunk Europe platform.

We have around 400 users. 

The maintenance is primarily conducted by Splunk on the backend, and any on-premises maintenance we perform has been reduced by 80 percent.

The value that Resilience provides for SIEM solutions is significant for us. Therefore, if we inquire with various customers, they might provide different perspectives. However, concerning security, this holds substantial value. I would assert that it's the primary tool in our arsenal; indeed, we do possess other security tools, but the most frequently utilized one, which also delivers the utmost value, is undoubtedly Splunk.

The method to expand a SIEM system is achieved by extending the licenses. This expansion enables greater capabilities, increased log retention, and the ability to process more logs. In our specific scenario, we were previously restricted by the capacity of the ingest license. Our log ingestion was limited to, for instance, one terabyte per day. However, with the introduction of this new licensing model that's based on CPU usage, we now have the flexibility to ingest any amount of data while paying according to our actual tool usage. Consequently, if we intend to expand for additional servers, we simply need to contact Splunk and communicate our requirement for increased server capacity to enhance system performance. This process is streamlined because we aren't required to take any additional actions ourselves.

I would highly recommend Splunk Cloud because we don't require personnel for maintenance or server installation and management, as all these backend tasks are taken care of. Additionally, for those who are currently using a competitor of Splunk for SIEM purposes, I would also recommend transitioning to Splunk if they have the budget for it.

We have a lot of third-party contractors that come in on our network and do the work. We use it to pretty much check what they are doing and make sure they are not doing anything that they are not supposed to be doing.

We do a lot of user interaction. We have users logging in, and we mainly look into failures and what is causing them to get locked out. We do a lot of that.

We also have Duo. We use Splunk Cloud Platform to keep an eye on who is using Duo, where they have failures, and why. We have quite a few people who are not supposed to be using Duo, and then they end up, for whatever reason, on the Duo side of the house. We use it to keep an eye on them so that we can help them get back to where they are supposed to be.

The improvement is in terms of helping those users who get locked out because we have that happen quite often. Daily, we have users getting locked out, and using Splunk makes it so much easier to help them. Rather than trying to go to the server and find those logs, we can just go to Splunk and then the dashboard for that particular user and find out exactly which machine is causing the lockout.

It helps us to easily find out which machine is causing the lockout. A lot of people know that customers can exaggerate. We can bring that back into perspective. They might say that they get locked out every day, whereas it might be once a week. We can see that. We do have a dashboard that tells us who is locked out right now. We do use that, and it helps us a lot because even before the user realizes it, we can go back and help. That helps us because they almost do not even know that it is happening. We can see it in real time, and we can fix it and unlock it. If it is something that is reoccurring, we can say, "You have been getting locked out multiple times in the same place for the last couple of hours. Go check this." We can also see why they were locked out. If somebody is putting in the wrong password, we can ignore that and unlock it. We, of course, are going to see where it is coming from. If we see some weird IP address or some weird computer that looks like it belongs to us, we will address that, but it helps us to help the user quickly. We are told what is happening as opposed to having to ask what is happening. We have definitely seen time to value. Instead of having to research, we are told it is there.

The Splunk Cloud Platform has reduced our mean time to resolve. It has easily saved 20 to 30 minutes every time someone gets locked out. We get 10 or 15 instances per day where people get locked out. It definitely saves a few hours per day.

Splunk Cloud Platform definitely frees us up to handle true problems and do true troubleshooting as opposed to handling lock-out issues. It is, of course, big for the user, but it is minute for us because it is answering a question that does not really matter to us. It matters to the user, but for us, we can just unlock their account, and we can figure out why at another time, whereas now, we can unlock their account and figure out why immediately. For example, if it was a machine that they logged into but they do not remember, or they have a cell phone that they logged into but they have not changed their password on, we can figure that out a lot quicker. That helps them quicker. It keeps us from having to go back to that user, and we can knock that out right then and there.

We have not gone into its ability to predict, identify, and solve problems in real time because we use it more after the fact. We do have an MSP, and they handle more of the security side. Their software does real-time monitoring, and they get alerts. We use the Splunk Cloud Platform to see what has already happened.

All the features are very equal for me. I do not use any one feature more than the other. They all are pretty equal to me.

It works as needed, and it does everything that we want to do. I have not come across anything that I would consider missing as such. If anything, sometimes we have dashboards that would not go into the dark mode. It is a minor issue, but it is the only thing that I wish was there. The dark mode would definitely help.

We have been using the Splunk Cloud Platform for about three years.

It has always worked when we needed it.

We are a very small shop. We only have 150 gigs a day, and we are not anywhere near that 150. However, from what I see, if there is an easy transition from 150 gigs to 300 terabytes, that is easy scalability.

We did not use any similar solution.

I was not involved in its deployment. It was already implemented.

Splunk Cloud Platform has been able to provide business resilience by empowering our staff, but currently, only two of us use it. One thing about coming to the Splunk conference is that we learn a lot. It is a lot more than what we probably can do. We also learned that for most people here, Splunk is a big part of their job. That is their main focus, whereas we have so many different things. We use Splunk; we do a little bit of networking. We do troubleshooting from swapping computers to the almost top level of moving cables.

I would rate the Splunk Cloud Platform a ten out of ten.

I use Splunk on my phone, on-premises, and for the automation tasks that we carry out.

We use it to work on dedicated forms and infrastructure and have a lot of virtual machines and instances that are being run for every single application. Our infrastructure is purely based on Azure by Microsoft. 

Keeping CMDBs of all the virtual machines is a heavy task. When you use it for your portal use, it might be two or three virtual machines. When a virtual machine is created, we use post-provisioning inside the virtual machine. While post-provisioning, we install Splunk agents so that any activity that is happening inside the VM is virtually monitored by Splunk.

We create a dashboard. We are able to monitor everything from that dashboard. 

Splunk also offers enhancements and automation. Splunk plays a major role when it comes to automation. We extract the data from Splunk, and then we use it to automate using a jump server so that we can put in actions on any number of virtual machines.

The automation is the main advantage. When we need to search for data, as engineers, it's very easy.

I like that it's an independent cloud platform. It can work with AWS or Azure. 

Its monitoring is completely automated. We do not have to put in other engineers just to maintain Splunk. It maintains itself, and it's very user-friendly. For the dashboards to be created or any sort of code that we want to do with Splunk, we can do it by ourselves. We do not need to have separate resources so it is very cost efficient. We do not require many people; it's resource-efficient as well.

We do use the federated search feature and find it helpful. Earlier, it was hard to withdraw data. We'd have to maintain it. Now, Splunk does it for us. It's a very time-efficient service. It's made a huge impact on automation. We can grab data in real-time any time we need to.

The solution integrates well with other applications and systems in our environment. 

It could have a more efficient UI. If they could integrate more AI and make search more efficient so that other people can access and use it, not just engineers, that would be ideal.

It needs to mature; it's just getting established in the industry on a wider scale. 

The API still needs some enhancements from a post-performance point of view.

From a monitoring point of view, Splunk is doing very well. However, if they could provide a post-provisioning aspect. Right now, we have to install a monitoring tool while we are post-provisioning every virtual machine. If they could be a provider that precluded having a virtual machine being created or provisioned, that would be ideal.

Alerting could be faster. Sometimes the actions that happen take some time to reflect on the Splunk dashboard. There is still latency. Especially when you work in a multi-cloud environment, you deal with a lot of regions. They still need to focus on availability across regions. 

They need to have some security enhancements. Most users are using it with other single sign-on features like Okta. If they had their own SSOs that would be ideal. we'd be able to work independently. Right now, we have to log onto the virtual machines then move to Okta, then go to Splunk. 

I've been using the solution for somewhere around a year or one year and a half.

The stability is okay. Sometimes it goes down. I have not witnessed that as I do not use it continuously after the deployment. The resiliency is good. I'd recommend it four out of five.

Everyone in the company uses Splunk.

The scalability is very good. It's extendible.

I don't directly deal with technical support. We have a dedicated team that would work with Splunk.

Generally, my understanding is that if we have a query, we raise a ticket. There may be a separate portal or mailbox we can access as well to get assistance.

We previously used Qualys. We switched mainly due to the costs involved. We also didn't want to migrate our resources to it. We simply wanted a monitoring tool, which is why we chose Splunk. Splunk in comparison is really cost-efficient. 

I was involved in the deployment of the solution. 

Whenever a new resource or a new agent comes into the picture, in an organization, it's always complex. I don't blame Splunk for it, or my firm. It's like two pieces of a jigsaw puzzle and it's the developers who need to cut the pieces. It works really well as of now. 

The deployment took somewhere between six to eight months.

We did need a lot of resources or staff members for the deployment. We have a vast infrastructure. We have a dedicated team inside as well who manage incidents and tickets using platforms like ServiceNow, and we still have a lot of resources dedicated to maintaining Splunk. The number of resources that are required to maintain it is more than the number of resources we use for development, actually.

How many people you need depends on the region. I work for Asia and North America. So for us, it was not much personnel. We needed four to five people in the development. There were somewhere around ten to fifteen people working on different parts.

About 90% of the deployment was handled in-house.

I'm only aware of general pricing terms, however, they have enterprise agreements as well. I can't speak to the exact cost. It's reasonable, from my understanding. I'd rate the affordability seven or eight out of ten. 

Evaluating other options would be a task reserved for the highest management personnel at our firm. I was not involved with that process.

We aren't using the solution across all cloud platforms. We use Azure. However, we would have the flexibility to gather insights from others. We just don't use that particular capability.

Right now, the solution does not affect our decision-making. It's still a very new platform. We're not relying on it completely. It's a work in progress. We need some time with it, to build up trust with it. Splunk is great so far, however, we still need more time and it needs more of a presence in the market.

Right now, in terms of compliance and privacy policy regulations, we limit the features that are not compliant with us. However, they are very flexible. We just use the features we can and block the ones that are unnecessary.

It hasn't had an impact on our security posture. We have very detailed security layers and several processes and teams. We haven't had any real use cases for Splunk. It hasn't actively blocked anything. We already have what we need in place. 

I'd advise new users to check if this solution is reliable from a security point of view. Talk to Splunk about the cost as well. Splunk is really convenient for that. And whenever you deploy it in your infrastructure, make sure that the cloud providers or the on-prem solution that you are using are compatible with Splunk. We had issues in that some features that we were using in the cloud were not compatible with Splunk. So we had to make a lot of changes. That is something anyone who is trying to deploy Splunk needs to check - compatibility.

I'd rate the solution seven out of ten.