Datadog Erfahrungen

Vorteile

It's got everything that's needed for infrastructure and application monitoring and alerting. It also fits extremely well into our Infrastructure-as-Code paradigm where everything we set up is kept in a git repository as a Terraform project. DataDog is what we recommend and implement for our clients, and provides more useful features than Sensu.

Nachteile

Metrics and monitors don't render correctly on mobile phones. It's totally unusable in portrait mode, and barely usable in landscape mode.

Vorteile

Datadog is a solid and stable product. They provide easy to use features and functionality that sets the standard for APM and Security tools - and their suite of tools is continuously expanding to important areas. The APM capabilities were able to handle our complex technology stack with little to no configuration necessary.

Nachteile

Not necessarily a con, more of a caution to monitor your consumption.. We worked with the customer success team to ensure our account was right sized based on forecasted usage. In the beginning we had to monitor our on-demand consumption as we outgrew our initial needs, this was handled incredibly well by the Datadog team, but you do need to keep an eye on your own consumption to avoid additional costs.

Vorteile

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.

Nachteile

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.

Vorteile

One of the most notable things that I like about Datadog is its ability to provide real-time insights into the health and performance of IT systems, including servers, applications, networks, and cloud environments. Its wide range of monitoring and analytics features, including performance metrics, event logs, and alerts, can help teams identify and diagnose issues quickly and accurately, enabling them to take corrective action more efficiently.

Nachteile

I have reported that Datadog can be expensive, particularly for larger organizations or those with complex IT systems. While Datadog does offer a range of pricing options, including usage-based plans, some users may find it difficult to justify the cost of the platform, particularly if they have limited IT resources or budget constraints.

Vorteile

If you can afford it. Get Datadog.It's a phenomenal product that keeps getting better every day.Especially if you're using multiple clouds.There are tons of integrations that gives you out of the box dashboards and metrics. Logs are easy to ingest from basically everywhere.It's expensive but the pricing is easy to understand and keep track of.

Nachteile

It's expensive, there is no other way to say it. But they work hard to make it worthwhile, and for us it is.Beyond that I can't really think of anything.

Vorteile

The software can scale with the business needs. You can start with basic features or leverage many as you like (for $$) to gain deeper insights. Engineers once onboarded use it heavily to spot issues or troubleshoot more obscure bugs both in production and development.

Nachteile

You often need to review usage and costs. Misconfigurations, migration projects (where legacy + new infrastructures are required), integrations which may cause double reporting need to be observed to prevent run-away spend.

Vorteile

-Best user experience-Unified view of all metrics. It is a lifesaver when troubleshooting performance issues-A broad range of product offerings

Nachteile

-Expensive!-The pricing model isn't as flexible as it should be. You can only adjust your yearly contract 3 times per year.-Expect to spend more time managing costs than you would like.

Vorteile

DataDog is able to ingest and make sense of a complicated cloud application without the developer having to understand the infrastructure or program specifically for it.

Nachteile

That if I could afford it I would turn on all the features 24/7 and use them all.

Vorteile

good integrations with collectors. Open text search. Alerting systems. custom downtime for deployments.

Nachteile

Aggregation and APM metrics. More of alerting. New features to aggregate fields

Vorteile

Datadog is useful for visualizing and monitoring your cloud applications. If you have agents on you devices, it can analyze a ton of information coming in and show it to you, but that's where it ends, at least, as far as I could figure out in my free trial.

Nachteile

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.

In Betracht gezogene Alternativen

Splunk Enterprise

Gründe für den Wechsel zu Datadog

My company decided to stay with Splunk and not switch to Datadog. It has a lot more capabilities.

Vorteile

- The filter functionality is great which lets you filter out errors for quick analysis, can easily create custom dashboards.
- Great Visualizations, easy to set up dashboards/monitors with options do maths like ratios, rates, average, interval.
- It can be easily integrated with other apps like Slack to set alerts for failed jobs.
-

Nachteile

- 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.

Vorteile

Being able to funnel AWS CloudWatch logs into Datadog made speed of deployment of Datadog incredibly fast - days instead of weeks.The log searching and faceting are extremely powerful. It's responsive, everything loads fast, and I can find single log lines in seconds.

Nachteile

Being able to create facets on historical data would be great.When digging into log lines, being able to navigate back to previous lines that we read through would be great too. Sometimes we're clicking around so fast that a log line is long gone. I end up copying the URL and pasting it into a doc so I can refer back to it.

In Betracht gezogene Alternativen

Splunk Enterprise

Warum Datadog gewählt wurde

We needed to be able to quickly search and facet logs, and view live logs, and have something that didn't require much more structure than logging out some JSON.

Vorteile

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.

Nachteile

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.

Vorteile

I can handle ALL things in Datadog. I have an answer for CI / Pipelines, arbitrary metrics, trace data, logging and more.

Nachteile

There are a lot of specific costs. Compare, if you will, with NewRelic (all features are free) or Dynatrace (cost on retention and davis units). If you enable "all the things", it can be costly.

In Betracht gezogene Alternativen

Dynatrace und Sumo Logic

Warum Datadog gewählt wurde

Better and more reliable.

Gründe für den Wechsel zu Datadog

Better value, more performant

Vorteile

the ease of implimentation and the ability to capture meaningfully info easilyquickly

Nachteile

it's super expensive....almost cost prohibitive

Vorteile

I like Datadog APM which help our developer to troubleshoot various deep level issues.

Nachteile

probably the integration with log management with DD trace with APM, as we have some difficulties link the log injested with trace ID etc but some of logs are not linked with APM. I hope there's a better compatibilities with custom PHP application with APM & Log management

Vorteile

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.

Nachteile

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.

Vorteile

Correlation between APM, Infra, Log, Network and everything can make it possible to view in multiple dimensions. Also, RUM feature is so strong to cover the end-to-end observability in realtime.

Nachteile

One of the most expensive tool. And it could be challenged by the management.

In Betracht gezogene Alternativen

Dynatrace

Gründe für den Wechsel zu Datadog

Powerful E2E visibility in realtime.

Vorteile

I liked the fact that DataDog provides an easy-to-use platform for visualizing, monitoring, and alerting on all my infrastructure metrics. It's very comprehensive and the integrated dashboards allow me to quickly identify any issues. It's also great that it can integrate with other technologies, allowing me to have a complete view of my system.

Nachteile

I didn't like the complexity of setting up custom dashboards and metrics. It was difficult to find the right combination of settings and tools to get the desired result.

Vorteile

Building Dashboards, Observability at the granular level

Nachteile

Terminology , need to distinguish different resources and not tag them as one

In Betracht gezogene Alternativen

Dynatrace

Vorteile

I love the ease of use, the up-to-date documentation, and the product capabilities.

Nachteile

Support is slow and lacking, costs can get out of control fast and are not straightforward.

In Betracht gezogene Alternativen

Splunk Enterprise

Vorteile

We use Datadog mostly for our infra monitoring and log management. These features are very useful as they are real-time, helps to make sure our services are up and running, provide alerts whenever there's anomaly, and we can always trace back using their logs.

Nachteile

Pretty pricey and their UI is not easy to understand, first time user will need more time to adjust.

Vorteile

Great web monitoring tool if you have the time to dig into all the options and settings. The user interface is really professional and good looking and the charts and graphs are well thought out.

Nachteile

It requires a bit of server tinkering, which I wasn't familiar with. Not really a minus.

Vorteile

Feature-rich cloud monitoring solution which works across multiple cloud providers (AWS, Azure, etc)

Nachteile

It takes a bit of time to get familiar with the admin portal user interface.

Vorteile

Easy to monitor and get analytics
We can monitor inside any stack, any app, at any scale, anywhere
Supports multiple dashboards
Notebooks help you to share the data

Nachteile

More options some time confuses
Help documentation needs improvement
Some times dashboards are very complex to understand