Software Engineer at a financial services firm with 10,001+ employees
Real User
Helpful support, good RUM monitoring, and nice dashboards
Pros and Cons
  • "I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
  • "At times, it can be hard to generate metrics out of logs."

What is our primary use case?

We use it to monitor and alert our ECS instances as well as other AWS services, including DynamoDB, API Gateway, etc. 

We have it connected to Pagerduty for alerting all our cloud applications. 

We also use custom RUM monitoring and synthetic tests for both our internal and public-facing websites. 

For our cloud applications, we can use Datadog to define our SLOs, and SLIs and generate dashboards that are used to monitor SLOs and report them to our senior leadership.

How has it helped my organization?

Datadog has been able to improve our cloud-native monitoring significantly, as CloudWatch doesn't have enough features to create robust, sustainable dashboards that are easily able to present all the information in an aggregated manner in one place for a combination of applications, databases, and other services including our UI applications. 

RUM monitoring is also something we didn't have before Datadog. We had Splunk, which was a lot harder to set up than Datadog's custom RUM metrics and its dashboards.

What is most valuable?

I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before. 

It's useful to be able to obfuscate sensitive information by setting up custom RUM actions and blocking the default ones with too much data. 

I also like being able to generate custom metrics and monitors by adding facets to existing logging. Datadog can parse logs well for that purpose. The primary method of error detection for our external website is synthetic tests. This is extremely valuable for us as we have a large user base.

What needs improvement?

At times, it can be hard to generate metrics out of logs. I've seen some of those break over time and have flakey data available. 

Creating a monitor out of the metric and using it in a dashboard to generate our SLIs and SLOs has been hard, especially in cases where the data comes from nested logging facets.

Buyer's Guide
Datadog
September 2023
Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: September 2023.
734,156 professionals have used our research since 2012.

For how long have I used the solution?

I've used the solution for two years.

What do I think about the stability of the solution?

The stability is pretty good.

What do I think about the scalability of the solution?

The solution is pretty scalable! It's hard to set up all the infra (terraform code) required to link private links in Datadog to all of our different AWS accounts.

How are customer service and support?

They offer good support. Solutions are provided by the team when needed. For example, we had to delete all our RUM metrics when we accidentally logged sensitive data and the CTO of Datadog stepped in to help out and prioritize it at the time.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We previously used Splunk and some internal tools. We switched due to the fact that some cloud applications don't integrate well with pre-existing solutions.

How was the initial setup?

The initial setup for connecting our different AWS accounts via Datadog private link wasn't great. There was a lot of duplicate terraform that had to be written. The dashboard setup is way easier.

What about the implementation team?

We installed it with the help of a vendor team.

What was our ROI?

Our return on investment is great and is so much better than CloudWatch. We can easily integrate with Pagerduty for alerting.

What's my experience with pricing, setup cost, and licensing?

Our company set up the product for us, so the engineers didn't need to be involved with pricing. 

The pricing structure isn't very clear to engineers.

Which other solutions did I evaluate?

We looked into Splunk and some internal tools.

Which deployment model are you using for this solution?

Private Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Sr. Director of Software Engineering at a tech consulting company with 1,001-5,000 employees
Real User
Helpful support, good incident management, and helps triage faster
Pros and Cons
  • "The RUM solution has improved our ability to triage faster and hand more capabilities to our customer support."
  • "The pricing is a bit confusing."

What is our primary use case?

The RUM is implemented for customer support session replays to quickly route, triage, and troubleshoot support issues which can be sent to our engineering teams directly. 

Customer Support will log in directly after receiving a customer request and work on the issue. Engineers will utilize the replay along with RUM to pinpoint the issue combined with APM and Infra trace to be able to look for signals to find the direct cause of the customer impact. 

Incident management will be utilized to open a Jira ticket for engineering, and it integrates with ITSM systems and on-call as needed.

How has it helped my organization?

The RUM solution has improved our ability to triage faster and hand more capabilities to our customer support.

The RUM is implemented for customer support. It can quickly route, triage, and troubleshoot support issues that are sent to our engineering teams. 

Customer support can log in and start troubleshooting after receiving a customer request. The replay and RUM help pinpoint the issue. This functionality is combined with APM and Infra trace to be able to look for the cause of the issue. Incident management is leveraged to open a Jira ticket for engineering, and it can integrate with ITSM systems and on-call as needed.

What is most valuable?

RUM with session replay combined with a future use case to support synthetics will help to identify issues earlier in our process. We have not rolled this out yet but plan for it as a future use case for our customer support process. This, combined with integrated automation for incident management, will drive down our MTTR and time spent working through tickets. Overall, we are hoping to use this to look at our data and perfection rate over time in a BI-like way to reduce our customer support headcount by saving on time spent.

What needs improvement?

I would like to see retention options greater than 30-days for session replay. I'd also like to see forwarding options for retention to custom solutions, and a greater ability to event and export data from the tooling overall to BI/DW solutions for reporting across the long term and to see trends as needed.

For how long have I used the solution?

I've used the solution for about nine months.

What do I think about the stability of the solution?

So far, stability has been great.

What do I think about the scalability of the solution?

I'd like to see more bells and whistles added over time. Widgets are coming soon to help with RUM.

How are customer service and support?

Support is very good. They are responsive and gave us the help we need.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We have utilized New Relic, however, not for RUM. We went with Datadog to potentially switch the entire platform into an all-in-one solution that makes sense for a company of our size.

How was the initial setup?

We started on the beta, and the documentation was lagging behind. We also needed direct instructions and links from the customer support/account representative that was not immediately available by searching online.

What about the implementation team?

We implemented the solution ourselves.

What was our ROI?

Ideally, this will inform our strategy to not increase our customer support headcount as significantly into 2023 and beyond.

What's my experience with pricing, setup cost, and licensing?

The pricing is a bit confusing. However, the RUM session replay, in general, is very inexpensive compared to whole solutions.

Which other solutions did I evaluate?

We looked into LogRocket and New Relic.

What other advice do I have?

I'd advise other users to try it out.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Datadog
September 2023
Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: September 2023.
734,156 professionals have used our research since 2012.
Staff Cloud Engineer at a energy/utilities company with 51-200 employees
Real User
Good infrastructure and APM metrics with easy onboarding of new products
Pros and Cons
  • "We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
  • "The real issue with this product is cost control."

What is our primary use case?

We are using the solution for migrating out of the data center. Old apps need to be re-architected. We plan to move to multi-cloud for disaster recovery and avoid vendor lockouts. The migration is a mix between an MSP (Infosys) and in-house devs. The hard part is ensuring these apps run the same in the cloud as they do on-prem. Then we also need to ensure that we improve performance when possible. With deadlines approaching quickly, it is important not to cut corners which is why we needed observability.

How has it helped my organization?

The product has created a paradigm shift in how we deploy monitoring. Before, we had a one-to-one lookup in service now. This wouldn't scale, as teams wouldn't be able to create monitors on the fly and would have to wait on us to contact the ServiceNow team to create a custom lookup. Now, in real-time, as new instances are spun up and down, they are still guaranteed to be covered by monitoring. This used to require a change request, and now it is automatic.

What is most valuable?

For use, the most valuable features we have are infrastructure and APM metrics. The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze. 

We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level. Then we use Datadogs conditionals in the monitor to dynamically alert hundreds of teams, and with the ServiceNow integration, we can also assign tickets based on the environment. Now, our top teams are using APM/profiler to find bottlenecks and improve the speed of our apps.

What needs improvement?

The real issue with this product is cost control. For example, when logs first came out, they didn't have any index cuts. This leads to runaway logs and exploding costs. 

It seems that admin cost control granularity is an afterthought. For example, synthetics have been out for over four years, yet there are no ways to limit teams from creating tests that fire off every minute. If we could say you can't test more than once every five minutes that would save us 5X on our bill.

For how long have I used the solution?

I've been using the solution for about three years. 

What do I think about the stability of the solution?

The solution is very stable. There are not too many outages, and they fix them fast.

What do I think about the scalability of the solution?

It is easy to scale. It's why we adopted it. 

How are customer service and support?

Before premium support, I would avoid using them since it was so bad.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

We previously used App Dynamics. It isn't built for the cloud and is hard to deploy at scale.

How was the initial setup?

The initial setup was not complex. We just had to teach teams the concept of tags.

What about the implementation team?

We implemented the solution in-house. It was me. I am the SME for Datadog at the company.

What was our ROI?

We have seen an ROI. It has saved months of time and reduced blindspots for all app teams.

What's my experience with pricing, setup cost, and licensing?

We'd advise new users to be careful with logs, and the APM as those are the ones that can get expensive fast.

Which other solutions did I evaluate?

We looked into Dynatrace. However, we found the cost to be high.

Which deployment model are you using for this solution?

Hybrid Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Principal Solutions Architect at a security firm with 51-200 employees
Vendor
Top 20
Provides great visibility, has good replay functionality, and helps with monitoring
Pros and Cons
  • "The dashboards and the performance of the software have been great."
  • "It could probably be a little bit of a better user experience."

What is our primary use case?

One of the things we use it for is the same thing that we use FullStory for, which is to replay customer interactions with our platform. However, it also does the monitoring. It's like monitoring cloud tools. We're really mostly monitoring our own software to make sure that everything is functioning properly. We can check a bunch of things, and we can even play back customer sessions. It’s basically monitoring our application.

How has it helped my organization?

It really provides a lot of visibility in terms of how our software is working. If there are any problems, it surfaces them right away. We get alerts in Slack. It's really an essential tool for a company that provides software as a service.

What is most valuable?

I really like the replay, the ability to replay sessions, as I'm in sales engineering, so I sometimes need to know what my prospects are doing during a proof of value. I can actually see all the mouse moving and clicking on buttons and stuff like that. I can actually tell what they've been doing. There’s a lot of the other monitoring stuff as well. The development team uses it for monitoring and finds it very helpful.

It’s been kind of in the middle of many different things. The dashboards and the performance of the software have been great.

What needs improvement?

I haven't really noticed anything that they could improve upon. Maybe they could add in some features to go both ways, to maybe make some configuration changes, etc. That's a little bit outside of what Datadog does, though. It's really very full-featured, so I don't really have any complaints.

I haven't really fully looked at the documentation as I know where I need to go and look at things. It could probably be a little bit of a better user experience. There are so many functions there that sometimes navigating your way around is a little bit hard. They have a really nice menu system. However, there's so much there. It's possible that I skipped a guided tour when I started.

It’s not intuitive to everyone. There are a lot of technical features.

For how long have I used the solution?

I’ve been using the solution for the last five months. However, the company may have used it for a year and a half.

What do I think about the stability of the solution?

The solution has been stable and reliable.

What do I think about the scalability of the solution?

We haven’t had a problem with scalability. It’s been good.

We have 25 to 30 users on it currently. Our entire organization is under 60 people. Although not everyone is on it, a lot of our staff are. The sales, engineering, and customer success teams are all on it.

We may increase usage. No doubt that will come naturally with time. We’re hiring more people, and likely new hires will use it.

How are customer service and support?

I have not had occasion yet to reach out to support.

Which solution did I use previously and why did I switch?

We’ve also been using FullStory.

How was the initial setup?

I wasn’t part of the implementation. The one thing I will say is that when they added the functionality to review sessions, it made our use of another product, FullStory, almost obsolete. I'll have to see if we will continue using FullStory or if we can rely completely on Datadog.

What other advice do I have?

I am a customer and end-user.

We’re on the most recent version and keep it updated.

I’d rate it nine out of ten. The user experience could be slightly better.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Senior Cloud Engineer, Vice President of Monitoring at a financial services firm with 10,001+ employees
Real User
Good ServiceNow integration, helpful API crawlers, and useful APM metrics
Pros and Cons
  • "The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze."
  • "It seems that admin cost control granularity is an afterthought."

What is our primary use case?

We are using the solution for migrating out of the data center. Old apps need to be re-architected. We are planning on moving to multi-cloud for disaster recovery and to avoid vendor lockouts. 

The migration is a mix between an MSP (Infosys) and in-house developers. The hard part is ensuring these apps run the same in the cloud as they do on-premises. Then we also need to ensure that we improve performance when possible. With deadlines approaching quickly it's important not to cut corners - which is why we needed observability

How has it helped my organization?

Using the product has caused a paradigm shift in how we deploy monitoring. Before, we had a one-to-one lookup in ServiceNow. This wouldn't scale, as teams wouldn't be able to create monitors on the fly and would have to wait on us to contact the ServiceNow team to create a custom lookup. Now, in real-time, as new instances are spun up and down, they are still guaranteed to be covered by monitoring. This used to require a change request, and now it is automatic.

What is most valuable?

For use, the most valuable features we have are infrastructure and APM metrics.

The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze. 

We rely heavily on the API crawlers Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having to also make them add it at the agent level. Then we use Datadog's conditionals in the monitor to dynamically alert hundreds of teams. 

With the ServiceNow integration, we can also assign tickets based on the environment. Now our top teams are using the APM/profiler to find bottlenecks and improve the speed of our apps

What needs improvement?

The real issue with this product is cost control. For example, when logs first came out they didn't have any index cuts. This caused runaway logs and exploding costs. 

It seems that admin cost control granularity is an afterthought. For example, synthetics have been out for over four years, yet there is no way to limit teams from creating tests that fire off every minute. If we could say you can't test more than once every five minutes, that would save us 5X on our bill.

For how long have I used the solution?

I've used the solution for about three years. 

What do I think about the stability of the solution?

The solution is very stable. There are not too many outages, and they fix them fast.

What do I think about the scalability of the solution?

It is easy to scale. That is why we adopted it.

How are customer service and support?

Before premium support, I would avoid using them as it was so bad.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

We previously used AppDynamics. It isn't built for the cloud and is hard to deploy at scale.

How was the initial setup?

The initial setup was not difficult. We just had to teach teams the concept of tags.

What about the implementation team?

We did the implementation in-house. It was me. I am the SME for Datadog at the company.

What was our ROI?

The solution has saved months of time and reduced blindspots for all app teams.

What's my experience with pricing, setup cost, and licensing?

I'd advise users to be careful with logs and the APM as those are the ones that can get expensive fast.

Which other solutions did I evaluate?

We looked into Dynatrace. However, we found the cost to be high.

Which deployment model are you using for this solution?

Hybrid Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Lead Blockchain and Back-End Developer at Torum Technology
Real User
Good real-time user management and session analytics but needs session replays on mobile
Pros and Cons
  • "The initial setup is very straightforward."
  • "They could have better log reporting."

What is our primary use case?

We are using the solution from a monitoring and management perspective. We use it for alerts.

What is most valuable?

The solution's real-time user management and session analytics as well as the APM, are the solution's most valuable aspects.

We could easily identify the production box, and we could handle alerts.

The initial setup is very straightforward. 

It's stable. 

They have flag integrations, mail integrations, and other options as well.

What needs improvement?

We didn't do a deep analysis on this at this moment to identify the disadvantages.

We have noticed that Session Replays are unavailable on the mobile app. We'd like mobile app integrations. They could have better log reporting. That said, almost everything that we require is there. 

For how long have I used the solution?

We've only used the solution for two months. We just wanted to understand the complexities and the benefits that we might get from this product.

What do I think about the stability of the solution?

The solution is stable and reliable. The performance is good. There are no bugs or glitches. It doesn't crash or freeze. 

What do I think about the scalability of the solution?

It may be scalable. However, we haven't actually tested anything. 

We have six or seven people on the solution at any given time. They're there to handle fixes or do an analysis of logs or monitor the infrastructure.

I'm not sure if we plan to increase usage. We are not growing very rapidly. We're just preparing our environment for the upcoming year. 

How are customer service and support?

We've dealt with support. They are helpful and responsive. 

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We have used AWS CloudWatch and AWS inbuilt application of the features, however, we thought that it will be good to have a separate application to do all these kinds of monitoring and to have something for handling alerting mechanisms.

We are looking for the best available platforms on the market, which also would give us better flexibility while having everything come from one place. We found that Datadog is good enough for now, and we are still exploring what it can do and our options. We are not completely in with Datadog. We've been exploring it only for four or five months.

How was the initial setup?

It's an easy product to set up. The integration was very smooth and they have multiple options. It was pretty good integration-wise.

The setup itself only took a day or two. It doesn't take long. 

What about the implementation team?

We handled the setup ourselves in-house. We did not need any outside assistance. 

What's my experience with pricing, setup cost, and licensing?

For some features, it was quite expensive. For example, APM and RAM, and Session Replays. We are using it in a very limited way and are not using it for every microservice. We are using it for a minimal budget. As we are at an exploratory phase and are doing pay-as-you-go. Once we feel confident, we will likely get a yearly license. 

What other advice do I have?

We are customers.

We're working on the latest version. I couldn't recall the version number.

I'd rate the solution six out of ten. I need to evaluate the solution further. 

Which deployment model are you using for this solution?

Private Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Senior IT Manager at a financial services firm with 1,001-5,000 employees
Real User
Good tags, easy integration, and increases visibility
Pros and Cons
  • "The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
  • "The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."

What is our primary use case?

The main use cases are to provide visibility to costs for each product in the company as well as to consolidate all the observability in one tool. We are moving the team from being an operational team that needs to keep the tool up and running (applying patches and resolving problems) to a team that is focused on providing meaningful visibility of the systems, applications, and services of the company. We want to add value where the developers and the systems administrators are not able to focus.

How has it helped my organization?

The organization changed from having a team to operate different tools and providers to being a team worried about enabling and creating different dashboards, alerts, and automations in order to reduce downtime and increase the visibility of all the products, systems, and applications used. 

We moved from a full operation team to a team that adds value to IT, finance, product, back office, and any other team that requires correct information about the services provided while providing the possibility for them to create their own views and dashboards.

What is most valuable?

The tags are quite useful. They are providing the capability to give meaning to on-premises hardware (since it was not possible outside of cloud solutions and containers) as well to tag traces and logs. 

The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening. We'd also need to use several other separate tools that would require an increase in the required staff to operate them. Datadog gave us the opportunity to have a single platform for observability.

What needs improvement?

The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration. 

Also, there is a lot of space for the FinOps discipline. For example, it could potentially provide better and richer information for the teams to check the costs and optimize the product.

For how long have I used the solution?

I've used the solution for one year.

What do I think about the stability of the solution?

The stability is very good even though we have had some minor problems recently.

What do I think about the scalability of the solution?

The scalability is very good. We've had no problems until now.

How are customer service and support?

Technical support is good. That said, we had some cases that needed to be escalated to get to a faster resolution.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We previously used AppDynamics. The tool was not providing good system visibility as it was limited and had a very high cost.

How was the initial setup?

The initial setup is somewhat complex. There is a need to create a new automation to install and deploy agents that needs to consider the required security for a financial company.

What about the implementation team?

We handled the implementation in-house.

What was our ROI?

The ROI is still being calculated.

What's my experience with pricing, setup cost, and licensing?

Users need to be aware of licensing control. With autodiscovery, the product can begin to come at a high cost.

Which other solutions did I evaluate?

We also looked into Splunk, ELK, and Dynatrace.

Which deployment model are you using for this solution?

On-premises

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Ian Schell - PeerSpot reviewer
Senior Site Reliability Architect at a tech vendor with 1,001-5,000 employees
Real User
Reduces debugging time, with good distributed tracing and useful RUM
Pros and Cons
  • "We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
  • "There is occasional UI slowness and bugs."

What is our primary use case?

We use Datadog for general observability into our infrastructure, as well as running analytics queries for our SLI/SLO platform. This helps all of our teams be informed of how well their products are actually performing in production, and aim their efforts at the thing that will provide the highest ROI. 

We also use it for general monitoring and alerting during load tests and service releases to detect any issues related to the deployments. This helps us maintain our high contractual uptime promises to our clients.

How has it helped my organization?

It has drastically reduced the amount of time we spend on debugging issues and tracking down the root causes of incidents. What might have taken days or hours with separate vendors in the past (or even single vendors with terrible UI) is now quick and easy. 

We've often gone from detecting an incident to identifying the needed fix within ten minutes or less and covered multiple domains like APM, Logs, Database performance monitoring, etc., in just a few clicks. This is extremely powerful.

What is most valuable?

Distributed tracing is the most valuable feature. We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable. 

At one glance, we can clearly see which service is slow and then switch over to the infrastructure view or container view to debug why the slowness is happening. This is true of all their other integrated products as well; the more you add, the more insights you get when looking at traces.

We also use RUM extensively. This helps us cover the last mile of application performance. Without it, we wouldn't know if our browser applications were functioning slowly for our users.

What needs improvement?

There is occasional UI slowness and bugs. While the Datadog UI is generally miles above its competitors, there are a few cases where it falls short or has started to slow down over time. They also occasionally make poor UI redesign choices. They should continue focusing on this area to maintain the high standard they started out with.

For how long have I used the solution?

I've used the solution for five years.

What do I think about the stability of the solution?

We've never had major stability issues.

What do I think about the scalability of the solution?

Scalability has never been an issue, although there is occasionally UI slowness.

How are customer service and support?

Support via tickets is absolutely terrible. It's the one obvious bad spot for Datadog. If we didn't have direct relationships with many of their product managers, our experience would be much worse.

How would you rate customer service and support?

Negative

Which solution did I use previously and why did I switch?

We previously used New Relic. It had a terrible UI and the integration between products was not great. Datadog is miles ahead of them and is continuing to increase that distance.

How was the initial setup?

The initial setup is straightforward, and the docs are done well.

What about the implementation team?

We managed the implementation in-house.

What was our ROI?

Our ROI is high.

What's my experience with pricing, setup cost, and licensing?

I'd advise users to negotiate rates. Datadog's off-the-shelf rates are pretty high.

Which other solutions did I evaluate?

We have only used and looked into New Relic.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Download our free Datadog Report and get advice and tips from experienced pros sharing their opinions.
Updated: September 2023
Buyer's Guide
Download our free Datadog Report and get advice and tips from experienced pros sharing their opinions.