The initial setup is simple and straightforward.

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The initial setup is simple yet complex. There are too many teams are needed.

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For the most part, it was really painless to set up.

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Datadog's initial setup is easy because they have helped us come up with the easiest way of instrumenting any of the features which need to be deployed.  We worked on it with their engineers and we were able to happily do it. We have done approximately 60 application monitoring through Datadog since our deployment.

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The initial setup is not that easy because there are many choices for configuration, workloads, servers, and containers. 

We utilized technical support to help us understand integration and prepare patterns for other applications. 

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Setting up Datadog is pretty straightforward. I have a lot of experience doing that sort of thing. It took maybe a day and a half to deploy because I was picking externally facing websites.

I deployed it by myself. One person is enough for the small system we had. However, if we were moving forward, I'd recommend at least two or three people to manage it. 

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Since Datadog is a SaaS solution we had not deployed the Datadog on-premise or in any Cloud. We were using the SaaS solution from the vendor itself. From the provisioning perspective or from the monitoring and dashboard perspective, we were using Terraform to create the typical monitoring as code. Everything was basically automated, we were not doing anything manually.

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

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The initial setup is not very easy and the deployment took eight months.It took quite a few teams to get it all accomplished. I rate it a six out of ten.

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You don't need to install anything because it's a SaaS product with a web-based UI. They provide you the credentials to give you admin access. You only need to install the agents where you need monitoring. The time required to deploy the agent depends on what you're monitoring, but the solution itself works like Office 365 or any other SaaS product. 

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The initial setup was complex and required a bit of tweaking to get everything configured correctly and into our pipelines.

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A large part of the initial setup was straightforward. We were able to collect about 80% of the relevant and 90% of the meaningful insights from just a couple of hours of connecting the AWS integration and the Datadog APM agent. 

Getting it to 100% and configuring and customizing things to our unique situation, took about two weeks. Datadog's documentation and support team were extremely helpful during both phases.

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

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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.

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The solution is pretty straightforward to set up. It helps with logs and metrics, and the AWS integration is really great.

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The initial setup was straightforward. We needed two engineers for the deployment.

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The tool's deployment is difficult and time-consuming. 

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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.

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The initial setup was easy.

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The initial setup was straightforward.

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The initial setup for the solution itself is quite straightforward. You just set it up and that's it. However, when it comes to, for instance, deploying the agents to the servers, or at least the target machines, it's still a manual task. They still do not have centralized management of the FD agents, which basically delays the deployment of the solution. It's very manual still.

How long it takes to deploy is difficult to pin down. It will vary based on the environment size. Obviously, if it's ten servers, it will basically take half an hour or one hour. If it's 5,000, obviously, besides the number of notes, other considerations will need to be taken into account. If t's a large environment, it will take much longer. We would need to basically develop a solution, or an effective process to deploy the agent and configure them in a standardized manner. This is something that the tool itself or the tool provider does not offer out of the box. You need to build it. That's a drawback.

How many people you need for the deployment and maintenance processes depends on the environment's size and geographical area. On average,  I would usually require for every 500 notes, one resource for implementation. Then for overall support, I usually put one resource per 1500.

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The initial setup is straightforward.

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Setting up through the environment variables made it unbelievably easy to get started.

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I wasn't there for the initial setup.

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The initial setup was straightforward.

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Since we are relatively greenfield, it was relatively painless to set up the product. 

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We implemented the solution in-house.

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

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The initial setup was straightforward, we used a service provider and they also maintain our operation in general.

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The basic setup is easy. A more advanced setup can be tricky because the documentation assumes you know how the system works already. Support is somewhat helpful, but mostly points out the documentation you should already have found.

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The integration and configuration processes have been very smooth because everything is very well-documented. The documentation is phenomenal. 

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The initial setup is not so difficult.

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The initial setup was pretty straightforward. Additional tweaks and configuration have been a bit more difficult as we get deeper and deeper into the guts of the integrations. Making sure we are keeping up with a rapid release schedule, and keeping our server clients in sync with our app packages has been troublesome. There have been some major changes in the APM that have introduced a number of bugs and broken some of our dashboards and alerts.

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Procedures for setup seemed straightforward but once you got going, there were some issues. For us, getting our private link to work needed additional tech support. They were able to help us resolve the issue we were experiencing. I think the procedures could be done a bit better to help you with setup.

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The tool's deployment is easy. 

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The initial setup is not too complex.

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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. 

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It is easy to configure. You load the Datadog agent into the EC2 instance, then you just follow it. 

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Most elements are quite simple to set up. However, some types of data collection require organization-wide engineering buy-in.

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The initial setup steps with the agent are only confusing when using the config files for the first time. The main file includes a lot that you can specify elsewhere and it's not readily apparent which one to use until you dig in more.

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It is easier to install than to use it.

I was not the one doing the handling the installation. I'm a senior consultant, and I was coordinating, planning, and interacting with clients. But the actual installation, I was not involved with. 

The installation could be done in an hour or so.

It is not complex, two professionals are enough to complete the installation and maintenance of Datadog.

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It is usually pretty complex. 

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The initial setup is straightforward and everything is very well documented and easy to start using.

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The initial setup was okay. I was not part of the implementation team but from my understanding, it was not complex.

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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.

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Initial setup is easy. Install the agent and send it metrics. There are StatsD/Datadog libraries available for most languages.

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The solution is very straightforward since it has a good GUI.

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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.

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Yes. It is not complex. It allows you to get a certification of DataDog prior deployment of associates to administration and configuration

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The initial setup is very easy. 

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Getting APM metrics out of Kubernetes is always a painful task. We got support to take a look at this and we had to go through various iterations to get it right, and then AGAIN the next year. This was a bad experience.

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The initial setup is straightforward. The documentation we use is very clean and concise.

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The initial setup was a bit complex. 

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The initial setup is easy.

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Setup is hassle-free and pretty straightforward. 

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The integration and configuration through AWS was pretty smooth. It was easy to set up and start using. The documentation was clear. So, it worked really well.

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Setup is generally easy. They provide an large number of integrations, some are more complex than others, which is to be expected.

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The initial setup is super simple, and the documentation was helpful.

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The initial setup is straightforward, and the process took approximately three days.

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It was simple to configure and to set up this tool.

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The installation is easy for me. However, if you are new to this solution it might not be so easy.

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We found the initial setup to not be overly complex. It's rather straightforward and easy to execute. A company shouldn't have any issues with the process.

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The initial setup is straightforward which is impressive.

I rate setup an eight out of ten. 

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It was easier than what we had been using in the past. It is a SaaS-based solution, and it was supposed to be a straightforward setup.

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The integration with the AWS environment has been pretty seamless. There have been a few services that we don't use that they don't have book support for. However, usually that happens when it is a new service which is really unpopular. Most of the time, our customers shouldn't have been using that service to begin with, since it's a legacy thing that we inherited. I can't think of a single case where we haven't told the customer "You have to get off of that." 

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The initial setup in regards to integration with AWS was very simple.

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The integration and configuration of the product in our AWS environment was easy. This was one of the many things that I liked about Datadog.

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I was not involved with the initial setup. 

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It is easy to install, and it doesn't have any cumbersome procedures. Its deployment took a couple of hours.

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Its initial setup is complex.

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The initial setup is pretty easy. It's a kind of agent-based application monitoring. It's similar to Splunk and Elastic Stack.

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For the monitoring of different EC2 instances, you install them into Datadog. 

We use Chef to install Datadog's package, then that calls out all the information from the instance.

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The installation is reasonably straightforward.

We are a small organization. We have one administrator who is responsible to maintain and keep this solution up to date.

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The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD. Datadog is a custom StatsD client, and it adds additional functionality, like tags, etc. However, out-of-the-box should work with native StatsD, so it is incredibly easy to drop in replace if you are using StatsD for metrics.

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The AWS integration and configuration is pretty good. It has multiple languages and platforms.

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Very straightforward. We got Datadog running in a couple of hours, and deployed it across our production environment, We just installed StatsD, started sending metrics, and it just worked. Deployment was super easy and their setup and integration made us feel like it wasn't a vendor lock-in. View full review »