Monitoring at it's BEST
What do you like best about the product?
Datadog allows both Devs and Ops team to collaborate and make our work easier.
What do you dislike about the product?
Nothing so far, have not used Datadog much.
What problems is the product solving and how is that benefiting you?
I have implemented datadog for monitoring our Kuubernetes cluster which have helped to find the issues sooner.
good introductory material
What do you like best about the product?
integrates with different environments/applications, a lot of great integreations
What do you dislike about the product?
Hard to find material for each specific case. Would like to see more examples how to work with different types of OS, different types of logs. Would like to see a separate session on the best tagging approach, to be able to link traces, logs, issues, etc.
What problems is the product solving and how is that benefiting you?
helps to identify issues early, helps to find root-cause, helps to find slow spans.
Great for SDETs andGreat quality teams
What do you like best about the product?
It is great to provide insight on how real users are interacting with the products, while also making it easy to tie error rates to sessions and giving us tons of information.
What do you dislike about the product?
I wish I could tie synthetic testings to deployments easier.
What problems is the product solving and how is that benefiting you?
It is much easier to access our logs with context that makes it more powerful
Consolidates all our logs into a single place, making it easier to find errors
What is our primary use case?
We have a tech stack including all backend services written in TS/Node (mostly) and as a full stack engineer, it is crucial to keep track of new and existing errors. Our logs have been consolidated in Datadog and are accessible for search and review, so the service has become a daily tool for my work.
More recently, session replay has been adopted at my company, but I do not like it so much because the UI elements are not in their place, so it is very hard to see what the users on the web app are actually clicking on.
How has it helped my organization?
The best way it has helped us is by consolidating all our logs into a single place and making it easier to find errors. Previously using AWS Cloudwatch was cumbersome and time-consuming. One issue I do have with logs is the length of time they are on the platform. Some issues happen sporadically, so it would be good to have logs for longer than one month by default or make it a configuration.
Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things.
What is most valuable?
Logs search is the most valuable feature because it has consolidated all of our backend services logs into one place. Now we can see the relationship between them as requests are going from one service to other dependencies.
What needs improvement?
One issue I do have with logs is the length of time they are on the platform. Some issues happen sporadically, so it would be good to have logs for longer than one month by default or make it a configuration. I have yet to try rehydrating logs, so this might be an option I need to try. Another issue I have is with the search syntax, it could be simpler. The syntax is a bit cumbersome and there is not an intuitive to save them to look for similar searches in the future.
Finally, while my company replaced a different tool for session replay with DataDog's version, I find it clunky and in need of further improvements. For example, when troubleshooting a web portal issue, it is super important to know what the user clicked, but the elements are not where they should be in the replay.
It is also hard to find details about the sessions, and metadata such as user email, account, etc. that exist on other services with replay features.
For how long have I used the solution?
I have been using Datadof for approximately five years.
What do I think about the stability of the solution?
So far we haven't had any issues with uptime and Datadog has been available when needed.
What do I think about the scalability of the solution?
It seems to scale well as we continue to add services that need monitoring.
How are customer service and support?
I haven't had to contact support.
Which solution did I use previously and why did I switch?
Cloudwatch was not a great tool for what we need to do to troubleshoot issues.
What about the implementation team?
We deployed it in-house with intermediate expertise.
What was our ROI?
I am not sure how much we are paying, but I use the app often enough to feel like we are getting a good ROI.
Which other solutions did I evaluate?
I was not involved in the choosing process as a software engineer
Which deployment model are you using for this solution?
Public Cloud
Instant Observability
What do you like best about the product?
Integrating with Datadog enabled our company to move from zero to full application and infrastructure obserability in the matter of a couple months.
What do you dislike about the product?
The number of services enbaled by default can be overwhelming and costly.
What problems is the product solving and how is that benefiting you?
Observing our stack that's hosted accross multiple cloud providers all in one place.
Great experience
What do you like best about the product?
Observability and extensive information logging
What do you dislike about the product?
Web interface and lost of several options
What problems is the product solving and how is that benefiting you?
Monitoring application environment for e-commerce
APM for Troubleshooting
What do you like best about the product?
Its features of tracing and APM. It has made troubleshooting errors in the code far easier. It also connects to a wide variety of languages and operating systems. The filtering system that Datadog has built in is rather handy for finding monitors, dashboards, and events. The Watchdog AI is a helpful tool in spotting pattern you may not have noticed in your applications before, and its breakdown of the pattern and possible causes is helpful in narrowing down root cause. The monitors are simple to implement and can be linked with ServiceNow and Pagerduty rather easily.
What do you dislike about the product?
We wish there was better admin management tools for pushing out updates and giving alerts on a more timely fashion that upgrades are necessary. Communication of these changes could be a little more timely as well. Instrumentation for projects has also gotten more complex than when we first started, but it can be understandable given how much Datadog has grown.
What problems is the product solving and how is that benefiting you?
It has helped us identify error patterns and service behavior/insight (hit rate, error rate, etc.). This has helped us troubleshoot issues for major incidents.
Datadog
What do you like best about the product?
We use Datadog for logging and incidence response. It helps us catch any alerts as soon as it comes in.
What do you dislike about the product?
There are a lot of services Datadog offers that I haven't learn a lot about.
What problems is the product solving and how is that benefiting you?
Datadog helps us keep track of server logs and alerts so that we can response to any server outage immediately.
Supercharges you observability workflow
What do you like best about the product?
Distributed tracing is pretty great. Also, the dashboarding is great. Also, DD is always innovating and bringing new offers to market. Synthetics have proven to be pretty powerful addition to our workflow and has saved us a ton of setup.
What do you dislike about the product?
Pricing strategy has us constantly on our toes to manage cost. Leaning into Config as Code would be helpful, and allow us to commit our synthetics to version control and push via CI.
What problems is the product solving and how is that benefiting you?
It gives us very convenient incident response tooling. We also use it to validate our performance testing numbers, dashboarding, smoke tests (via synthetics) and monitoring our API gateway.
Great tool for starters and professionals
What do you like best about the product?
In my opinion DataDog offers a broad suite of products for observability which can easily be integrated with different providers. For AWS you can simply install a CloudFormation Template which then allows DataDog to access logs from your account. The user interface is pretty easy to use and also offers non-technical people an overview to the most important metrics. Integrating notification services such as Slack is also doable with a few clicks and allows you to send alerts to your teams' slack channel to have them notified instantly so they do not need to have a glance on DataDog every day.
What do you dislike about the product?
DataDogs pricing is sometimes not really clear for us and for some services we just had to wait for a month to pass so we can see how much another service really costs. While you can see what everything costs on their pricing page, this sometimes leaves questions.
What problems is the product solving and how is that benefiting you?
Without DataDog we really hadn't had any central solution for monitoring all our infrastructure and make it easy for other colleagues to access this data.
