Our security team uses the Splunk Cloud Platform heavily. We index that data that is relevant to security for over a year. Most of our indexes, we only keep for 30 to 45 days. But for security, we keep it for a year here. It is an essential tool for our security team in investigating incidents and looking at the potential compromises, and exploits, of all those types of things. That's one example.
I'm one of two Splunk Engineers in the organization and almost every department uses Splunk. We create dashboards for different organizations. For example, We have temples all over the world. We produce statistics for the temples about how many people have visited each day, and how many sessions were done in different languages. That type of thing is all done through Splunk dashboards. Our missionary department has over 80,000 missionaries all over the world, statistics about what they are doing and the applications they are using are all done through Splunk.
Splunk Cloud Platform helped remove a lot of that administrative work, but also, it's much easier on the cloud for us to ramp up our SVC units if we see more demand and to be able to add more storage to our indexers. That's one thing for us as administrators that helps to be able to ramp it up quickly. When we were using Splunk Enterprise, that was a much more involved process, but now with Splunk Cloud, it's much easier to ramp that up. My partner and I are good at making sure that all of our users are using Splunk efficiently. We give them training regularly to make sure that their queries are well written, that they're not using indexes they shouldn't be, and that they're using the proper commands to be able to get the information they want. We do have to do this periodically because more and more of our users are using Splunk frequently, and we'll have to talk to a Splunk rep to increase our SVCs. For us, as administrators, that's very helpful.
We monitor multiple cloud environments using Splunk Cloud. It's been quite easy for us. We have an in-house Cloud Foundry and we use AWS and Azure quite a bit. We haven't had problems integrating or monitoring with any of those platforms. It's been great for us.
The end-to-end visibility that Splunk Cloud Platform has in our cloud-native environments is important. We do a lot of correlation across the entire enterprise. We need to have good visibility into all of our logs across all of our cloud Platforms, and in-house on-premise stuff, which we're getting with Splunk.
We use a lot of different monitoring tools, not just Splunk. We use Nagios, ThousandEyes, AppDynamics, and Dynatrace. Splunk is an important part of that. It is a mission-critical application for us. The alerts we set up in Splunk are ones we can't do with the other tools. Every one of those tools is a key piece of what we do as a monitoring team, but what we love about Splunk is that we can create alerts that we can't do with the other tools. That has helped us reduce our mean time to resolution.
The Splunk Cloud Platform has helped improve our organization's business resilience. Splunk helps predict, identify, and solve problems in real-time. What we love about Splunk is its flexibility to pull out data that we can't see in other applications or that the commercial office software has not produced itself. But through the logs and being able to adjust it to Splunk and being able to write the queries that we need to, we can pull that data out, and it helps us to be much more efficient in predicting potential problems because we know our applications well and know the red flags to watch for. We can create the alerts needed to predict when something can potentially go down or have problems.
We have seen cost efficiency by switching to the Splunk Cloud Platform. The biggest part for my partner and me is that Splunk Admins saves us time. I used to be the guy who would patch all of our enterprise indexers, servers, and distribution servers. That would take me quite a bit of time. Even though we had automated scripts that would do a lot of that, it still took a fair chunk of time to go out and do the maintenance and patching required. That freed up a lot of our time, made us a lot more efficient, and allowed us to work on other projects we couldn't do before. I do front-end development for some other products, but I didn't have the time before, and switching to Splunk Cloud has freed us up. Being able to ramp up our SVCs and storage is much easier than it was before. We had to spin up virtual servers, provision them, and ensure licensing. With Splunk Cloud, it's much faster and easier. The total cost of ownership has improved.
Before we started using Splunk Cloud, we were using Splunk Enterprise. My partner and I were spending quite a bit of our time keeping the servers patched, up to date, and running the way that we wanted them to. Now that's all gone with Splunk Cloud. That has freed up a lot of our time so that I can spend most of our time helping people, learning SPL, and helping them with their dashboards, alerts, and reports. Splunk Cloud has helped us to be able to focus on getting more information out of our data. Whereas before, we were doing mostly administrative stuff. Now we don't have to do that anymore.
We're interested in learning more about the new AI features, especially the natural language to SPL conversion. While we jokingly worry these features might replace us, our main focus is helping users understand Splunk and build dashboards. We're curious how these AI features will integrate into our work, how many people will use them, and if there will still be a need for our Splunk expertise. Overall, we're excited to see how AI will impact our work.
I have been using Splunk Cloud Platform for three years.
Splunk Cloud Platform has been extremely stable. In some of the major upgrades, like, when we switched over to version nine there were a few hiccups that caused performance slowdown, but as far as stability, it's been great. In the last year, it's been extremely stable and very performant. It's just in the months after some of the changes over to version nine, we had a few problems, but nothing since then.
We have no concerns about scalability. We frequently upgrade the number of SVC units we require. We're using Splunk Cloud enterprise-wide. We're getting more and more departments using Splunk or asking to use it. Everything is on Splunk on a basic level. Security is a big deal. All our virtual servers, cloud environments, and everything that ties into security are already being adjusted to Splunk. As far as the application level, people want to get more information out of their application or data. We don't have problems, questions, or concerns about scalability. We know it's there.
We have a big instance in the cloud, and we have occasionally had a few issues here and there that took some time to resolve. For the most part, the customer service and resolution of issues have been very responsive from Splunk. We just had a handful of issues here and there but for the most part, the support has been good.
We have been using Splunk for many years. Before Splunk Cloud, we were using Splunk Enterprise.
The deployment was straightforward because we migrated from Splunk Enterprise on-premises to the Splunk Cloud Platform.
We used an in-house Splunk consultant who worked with us for six to nine months to transition from Enterprise. He was efficient but it was a big process. It took at least six months to fully transition over because of our big footprint.
We saw a return on investment when we switched to the cloud platform from Enterprise. We were able to consolidate everything with the cloud.
We were involved in the renewal process, and our organization does reviews of all our partnerships that we have every two to three years to ensure they are meeting our needs, there isn't a better solution out there, and we won't save money by going somewhere else. It's usually a four to six-week process when reviewing software and partnerships, and every time we go through Splunk, the review only lasts one day. We love Splunk and we're not switching.
I would rate Splunk Cloud Platform ten out of ten.