Categorie:
Software de desenvolvimento de aplicativos /
Application Performance Management Tools /
Software de inteligência artificial (AI) /
Software de gerenciamento em nuvem /
Software de gerenciamento de data center /
Datadog Cloud Monitoring Reveja
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Datadog is the essential monitoring service for hybrid cloud environments. The platform assists organizations in improving agility, increasing efficiency and providing end-to-end visibility across dynamic or high-scale infrastructures. By collecting metrics and events from 400+ out of the box services and technologies, Datadog enables Dev and Ops teams to ensure application uptime and accelerate go-to-market efforts. Start monitoring with Datadog effortlessly in minutes.
Datadog is very good for monitoring the applications and the host infrastructure. We have used it for lots of purpose for maintaining the infra like maintaining the kafka servers where we can plug this and can easily see the performance of kafka, it's offset value for different different consumers and lot more. Apart from this, we can also see the application performance with this.
Only one negative to say, it is difficult to start with this, writing the query to fetch the details and to do analysis is not easy. You need to learn it.
Somethings, when you have a lot of apps is very difficult to find the dashboard that you really want.
It requires a bit of server tinkering, which I wasn't familiar with. Not really a minus.
The cost of the product is a little higher then desired and would be good to lower it to attract more clients.
- Not have rate limiter to control some bad metrics
Metric types take time to understand
With so many applications it is difficult for you to find what you want. it has convenient and insignificant but we would like to improve
Customer Service, Integration, Easy to use, Easy to configure
Configuring monitoring tools is not always trivial, half of the battle is making sure metrics are flowing. Datadog is very flexible when it comes to sending metrics to their cloud. You can use collectD, statsd, file beats, or the 84523982 other options. Our orchestration software already had an option to enable Datadog collection. Once the data is in place, you need to figure out what metrics are relevant. Datadog has a number of pre-built dashboards tweaked for popular software systems. If you are using something homegrown, they can provide recommendations and optimizations after enough data has been ingested. API and documentation are top notch and we were able to build integrations quite easily.
Datadog is purely cloud-based system so there's no on-prem option, only SaaS. Depending on your company, this may be a deal-breaker since all of your metrics data is hosted in the cloud. Since it's a SaaS based service, it won't be easy to move data to another service. Occasionally web UI will bog down but it's fairly performant for the most part.
The log imports from AWS work really well and are much faster at searching than using AWS Cloudwatch. I find it easy day to day to search for items in logs, especially after implementing a few log transformers
initial setup gets a bit confusing sometimes, and it was easier to change the logging format of our code than to implement lots of parsers to make the log interpretation better
- Expensive.
The AWS monitoring is top notch
Azure monitoring needs to play some catch-up, this is a monitoring platform made for a developer IMHO.
Datadog is kind of costly for small-scale or midscale companies.
I easily integrated the agent and the integration with AWS. With a few clicks you have everything online
the creation of monitors is not so intuitive but you can figure it out. There are bugs in the documentation since they always refer to the ".com" domain but if you are an european user they also have ".eu" domains, I had to contact the support in order to have this problem solved.
Datadog has a mature product but features are limited, the tool feels dated and the UI is very plain.
Metrics and monitors don't render correctly on mobile phones. It's totally unusable in portrait mode, and barely usable in landscape mode.
Easy setup, easy to use, great customer support, quite an eye candy.
No significant cons, though I'd like to be able to monitor RDS health without integrating to the entire AWS.
Datadog has integrations with pretty much every main software service you can think of. It has pretty robust support for Windows machines and the custom metrics support is great, so you can track anything you'd like.
The usability could be improved in some areas, the custom dashboard features are powerful but the syntax can be hard to work with.
* User-friendly UI.
* It is a great tool, it takes some technical skills to understand and configure the tool.
Easy setup. Wide range of integrations with common applications. Easy to create custom graphs and metrics on the fly.
If you don't already have your applications instrumented with statsd, then it can a little catching up. Also, their default set of metrics limits you to 100 metrics per server (which can be changed easily).
Compatibility with the mobile platform is what i am looking for next in the line, hopefully they do that. And security is also a big question mark. And if the prices come down a bit, that will be a huge plus for them.
The various metric types require a little bit of reading and understanding. You'll need to choose the appropriate type when submitting data, or else it'll be tough to make sense of it later.
It's a great application for monitoring cloud based applications, the support takes sometime to resolve the reported issues
Learning Curve is a high. Overwhelming amount of information to search through in order to start using the product.
Easy of configuration, they have an agent app and sample configuration which get you started in about 20 minutes
Free tier is top limited, would have loved to get the service for free for monitoring 10 machines cluster
Easy to monitor and get analytics
More options some time confuses Help documentation needs improvement
Rich set of filters and plenty of graphs possible. You are only limited by your imagination. You think of some use case and Datadog mostly has it or you may get it in the very near future.
Though super feature rich, not a very easy to learn. You need to get some tutorials otherwise you may miss a lot of important features. Plus I find the time range filters are little too strict, they should be more flexible IMO.
Easy setup, numerous integrations, "just works".
Not very mobile friendly, some learning curve.
You have to setup agent on windows server. Sometimes it s not possible to Connect some server to the cloud.
Feature-rich cloud monitoring solution which works across multiple cloud providers (AWS, Azure, etc)
It takes a bit of time to get familiar with the admin portal user interface.
The dashboard could expand a bit more, also the ping are quite inconsistent. I have tested them together with other services and datadog throws more false negatives than other tools.
Datadog provides a great, easy-to-use and extensible interface for displaying data out of your own systems, providing you the insight to sniff out issues as they arise.
No matter how many integrations Datadog builds in, there will always be gaps, and some of those gaps hit our needs. As such, we need to use several monitoring solutions to cover our whole platform.
- The filter functionality is great which lets you filter out errors for quick analysis, can easily create custom dashboards.
- A slow learning curve, lack of resources on how to get useful functionality from UI or APIs. - UI sometimes be bit slower although not bad if you've integrated with multiple external apps.
Some of the detailed views of where bottlenecks are troubling a system can be lacking. Something we've seen a lag getting data refreshed in the dashboards.
I think that the best features that Datadog has is that you can track and follow logs in real time, something really important to have if your project is live. I like the idea of creating custom views of sets of logs (with custom filters, data parsing and a lot more) and that you can share them with your team.
It is a bit complicated to set for the first time. Is not quite easy to use or know at first about all the available features that Datadog has. Interface is tricky and can be a blocker sometimes. Following that, if your fields are not mapped in the right way, filters are not that useful.
I was very hopeful of this software, but I didn't want to throw agents from a product I've never used before on my servers and instances, so I tried to upload a data pull ( about 500,000 log entries) to Datadog, to see what it could do, but there's no way to upload a csv/txt file to the software. It has to be via agents on your services. I know that metadata would be missing from a csv, but it seems like a major oversight to not be able to accept a csv of logs for a new user to experiment at low risk.
Datadog is probably one of the most notable analytics tool out there for large companies. It's easy to track users' flow in terms of what routes they're hitting, when they hit a snag and 404, or other metrics like how performant certain requests are which allows us to identify bottlenecks and get rid of them immediately.
There is a steep learning curve I will say with this software and needs an expert to help lead tutorials or sessions to get the ball rolling with new tool users. Although there are many built in functionalities and easily customizable features, it can be overwhelming and hard to pinpoint exactly what type of analytics you're looking for. It's one of those softwares where you have to play around with it to get the stars to align and find a model or metric that works best for your customers and use cases.
Datadog is a tool that I like for several reasons, because implementing it does not require technical knowledge, has a series of metrics that allow you to read whether the performance of applications or servers is appropriate or not, so if you find a failure or something out of the ordinary in these applications the user immediately receives alerts that notify him of this problem so that it can be resolved in the shortest possible time, these alerts being received at any time since Datadog works continuously 24/7 and the best thing is that it is a software that is very easy to use and implement, in addition to being extremely flexible because it allows you to choose the monitoring parameters that you want to apply.
Datadog is not a perfect tool because it has some drawbacks and is that the more applications are integrated with this software the performance or speed of information delivery tends to slow down which should not be since the integrations are to improve even more the performance of said tool.
This tool called Datadog I love mainly because it is really efficient and very useful because it allows through it you can carry out a monitoring of the performance of applications in a very simple way, being this through the reading of metrics that are really simple to understand and issue very detailed information that is useful to diagnose the cause and thus be able to solve the problem in the shortest time possible, also is available 24/7 so in case of any fault send immediately a mail informing the same and the best thing is that it has a clean interface, intuitive and easy to use without having technical knowledge to manage it.
One of its drawbacks is that when it is integrated with a large number of tools it can become heavy, which causes the information to be slowed down.
-Customization for integrating software
-Large learning curve
The metrics navigator, you start by picking a metric or server, and it then tells you all the information it is collecting from it, so you can start designing your monitoring dashboards and see the data that will appear as you go
There are times where a chart would omit certain spikes, due to the way they aggregate values. But a quick email to support and they'll give you the settings you need to adjust not to miss such events, even when you look at a chart for the month
Lots of pre-configured solution for different aspects of infrastructure and applications. Rich reporting capabilities
A bit too expansive for log analitics and basic monitoring solution. Creation of your own solutions is possible but very hard to learn for new users
Datadog is very helpful in reviewing the status of apps and servers for our system. It's easy to see how things are doing at a glance, reviewing when an issue started/ended, etc.
The software isn't intuitive to the newest user, unless they are familiar with with the setup and maintenance of cloud frameworks; but that's not important, as it's meant for those users in the first place. It's quick enough to learn for your own purposes if you're only there to see the current status at a glance.
Datadog could always boost the level of its integrations. It's only as valuable as it is able to connect with the apps that you need to get data from.
The cost can become a cause for concern if you are not careful with what data you send to Datadog. However there are lots of tools to keep an eye it.
You must be a bit experienced user to install and configurate this software. It is not so easy to build your own solutions if you need. You have to contact customer support too often during first steps, aithough contact center is good and helpful.
DataDog can be pricey for a start up and I recommend using a trial and revisiting later when your product is established.
The proces to instal and put in march this softwre can be a nightmare if you have not experience, it is really complicated. Though the software have nice tools, the price is not the best in the market, is posible to find something good for lowes price if you know what are you loking for. And finally haved some problem with some data transfer working with this app but i really dont konw what was the razon why
Could have a mobile app so we can have mobile notifications, It could be hard to integration with others tools.
The only issue we had was users getting used to the DataDog. You need some background to get the most out of the product.
The implementation is easy.
Should have mobile app or mobile notifications.
No real cons that spring to mind. A great product. I would recommend starting with a list of what you need from software, then what you would like then a nice to have list. See how many ticks this software gets. Compare it to at least two pieces of other software of the same nature before making your final decision. This is what I recommend for any piece of software. Also, check out their own forms of customer support, and social media sites to see what other customers have had to say about the software.
A little expensive. It is not mobile friendly. How can be known that the data is secured?
1. A bit expensive for small teams. 2. Could integrate more tools like Kibana and graffana to make it more robust .
No suitable for all cloud services, for example if you're going to monitor your infrastructure in Azure it would be better to use Azure's Log Analytics.
Moving graphs can be difficult due to space when you try to move them horizontally but vertically is fine. Pulling in graphs, while simple, can still be difficult to use when resizing & color coordinating, but it's minor.
It takes little time to understand how to set up things with datadog. It's not every intuitive. It takes a bit of understanding to be able to configure the alerts.
Very poor set of solutions for Microsoft Azure monitoring
Datadog is not very easy to use at the beginning and it needs a little bit of investigation but it is worth to learn it.
Not very straightforward integration with ticketing systems. We had to read a lot of documentation to find appropriate solution
It only integrates with AWS in public cloud platforms
1. Metric types takes time to understand 2. Sometimes it is very difficult to understand the graph report and it is bit technical to use
Noticed that the more data you have, the slower response Datadog service will become, when you query the service.
I liked it very much. So nice to have that event stream and subscriptions. And it's very easy to share your findings with colleagues.
Default setup is just empty. These plugins they list as available will give you only so very basic info, that it's totally worthless. We had to write our own plugins for each and every service and part of our system. And the support team ignored my questions regarding future improvements in Kubernetes plugin.
Datadog's Windows support is great, the Windows agent supports detailed IIS and MSSQL statistics. Their RabbitMQ support is good as well - providing good insight into queues. Customizable dashboards are very handy as well.
The User interface generally is good but in some instances can be a bit too technical to use.
Easy... seriously dummy proof.
Somewhat expensive.
Fantastically easy to setup and install. Works well with automation tools like Ansible to get it installed on a fleet of servers. Customer support is second to none!
Have to be a bit careful about AWS EC2 integrations.