Datadog vs. F5 Distributed Cloud App Connect

Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.

Incentivized

My advice is if your firm build multi-cloud, high availability SaaS products or you just run polyglot workloads across kubernetes and VMs, then F5 Distributed Cloud App Connect is your guy. Coming from an expert, just start with a few core services or else you will be overwhelmed.

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• Ease of use - standing up a new site took very little time, less then an hour.
• Connecting the dots - the ease at standing up a load balancer and advertising it on CEs was simple and straight forward. Once you get familiar with the field layout it's very comparable to BIG-IP

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• User access roles should be more granular what we currently have
• user interface should be user friendly
• Setup process and guided workflows could add a user friendly process for first time users
• log export from SIEM tool still require a manual intervention

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

At this point it has become too focal to our operations. An entire department could collapse if we dropped it now or in the near future. My experiences as mentioned in the previous questions tell of its gravity

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

Because it’s so straightforward. There’s not much to it.

Incentivized

From what we have been able to test load/responsiveness is quick and when we've tested out reporting and troubleshooting modules they have pulled the correct information in quick timeframes. We haven't been able to test out any software integration with Splunk of other software on our system since we are still in early POC stages but from what we've been told we should be able to implement that in our environment

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

-F5 Distributed Cloud App Connect provides more granular security policies with features like DOS, WAF etc and others lack -F5 Distributed Cloud App Connect provides high performance global network and other rely on public internet and impact is latency and it gives F5 Distributed Cloud App Connect a better user experience

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Inconsistent policies and procedures and now its all seem to be sorted and now requires less support
• Deployment cycle time was reduced and achieves a faster adoption of newly added contents
• Saved migration cost and more gave durability to the existing setup

Incentivized