Datadog APM Reviews

What do you like best about Datadog?I find the seamless observability engine of Datadog to be a standout feature. It allows us to automate out of the box data correlation, which is incredibly helpful. When an alert triggers or there's a performance anomaly, I can pick a metric data point instantly to the corresponding log line with distributed ATM traces without losing context.What do you dislike about Datadog?None.What problems is Datadog solving and how is that benefiting you?I use Datadog to seamlessly trace metrics to logs with distributed ATM traces, helping our engineers pinpoint root causes quickly. It integrates with Slack and PagerDuty for alerts, reducing investigation time from hours to seconds.

What do you like best about Datadog?I use Datadog as our primary platform for log management, infrastructure monitoring, and application performance monitoring. I like its overall user interface, smooth navigation, and how seamlessly it handles central log management.What do you dislike about Datadog?I find it annoying that Datadog automatically converts all metric and span tags into lowercase. This can be a hassle when we have existing tags or custom metadata from other sources using camel case or uppercase.What problems is Datadog solving and how is that benefiting you?Datadog solves fragmented log management and disconnected system monitoring, making troubleshooting faster and more straightforward.

What do you like best about Datadog?It’s really helpful when we have a slow application or an issue that’s hard to track down. I can quickly see which service or request is causing the problem instead of going through different logs manually. It makes troubleshooting a lot quicker, especially when we’re dealing with issues across multiple services.What do you dislike about Datadog?One limitation I’ve noticed with Datadog is the pricing around log ingestion. If you have a lot of logs coming in, the costs can add up pretty quickly, especially in a larger environment. We have to be selective about what we send to Datadog and keep an eye on usage so the bill doesn’t grow unexpectedly.What problems is Datadog solving and how is that benefiting you?Datadog mainly helps us avoid spending too much time trying to figure out where an issue is coming from. We can monitor our applications, infrastructure, and logs in one place, which makes it easier to spot problems and troubleshoot them. The alerts are also useful because we can know about an issue before users start reporting it. For me, the biggest benefit is that the team can respond faster and spend less time jumping between different monitoring tools.

What do you like best about Datadog?I really value Datadog's real-time alerting and its extensive cloud integration ecosystem. It's impressive how easy it is to onboard new engineering teams and connect cloud providers, infrastructure components, and microservices.What do you dislike about Datadog?One thing I find challenging with Datadog is that even though it excels at generating deep diagnostic data and telemetry, it still requires significant human effort to interpret that data and determine concrete actions.What problems is Datadog solving and how is that benefiting you?Datadog solves fragmented system supervision and delayed incident detection, giving us centralized observability. Its real-time alerting and integrations help manage our distributed systems effectively.

What do you like best about Datadog?I rely on Datadog as our primary single pane of glass observability and platform management tool. I find the deep automated correlation between metrics, logs, and APM traces, along with its service mapping capabilities, to be the most valuable aspects.What do you dislike about Datadog?The main challenge I face with Datadog is cost management and governance at the enterprise scale.What problems is Datadog solving and how is that benefiting you?Datadog fills visibility gaps and simplifies complex troubleshooting workflows in multi-team environments by automatically correlating metrics, logs, and APM traces.

What do you like best about Datadog?The trace views are invaluable when there's an outage. We've got the agent running on the nodes on our Kubernetes environment, and immediately had access to all pod metrics, latency traces etc. I even identified a bottleneck with one of our databases during my last on-call shift in a matter of minutes.What do you dislike about Datadog?Hearing about pricing of log ingestion with a startle you out of nowhere It's possible a service may leave debug logging enabled unintentionally and the next morning your bill is astronomically higher. We spend way too much time writing log exclusion rules just to keep ourselves within our team budget.What problems is Datadog solving and how is that benefiting you?It combined our entire metrics and app traces into one dashboard and we no longer have to switch back and forth between a bunch of random open source tools. It reduced the time it took to triage issues and enabled us to get in touch with ops faster whenever something was down.

What do you like best about Datadog?Ich mag wirklich, wie einfach und sauber der Integrationsprozess mit Datadog ist. Die Verwaltung unserer Überwachungskonfiguration durch Infrastruktur als Code mit Terraform ist für mich eine herausragende Fähigkeit.What do you dislike about Datadog?Meine Hauptkritik liegt in den integrierten Anomalieerkennungs- und Warnfunktionen von Datadog. Obwohl das Gesamterlebnis positiv ist, scheint dieser Aspekt weniger effektiv zu sein und könnte verbessert werden.What problems is Datadog solving and how is that benefiting you?Datadog vereinfacht die Verwaltung und Diagnose von Problemen über Systeme hinweg, bietet Kontrolle über die Visualisierung der Betriebsgesundheit mit benutzerdefinierten Dashboards und integriert sich effizient mit Terraform für die Überwachungskonfiguration.

What do you like best about Datadog?I like Datadog for its ease of platform integration and the library of predefined dashboards that are incredibly useful.What do you dislike about Datadog?My main complaints with Datadog are its high, rigid pricing structure and the limitations of their customer support workflow.What problems is Datadog solving and how is that benefiting you?Datadog eliminates manual server checks and error guessing, reducing human overhead.

What do you like best about Datadog?Ich verlasse mich jeden Tag auf Datadog als meine primäre All-in-One-Observabilitätsplattform. Von allen in die Plattform integrierten Modulen finde ich das verteilte APM-Tracing in Kombination mit dem Log-Explorer als das wertvollste Feature-Set für meinen täglichen Arbeitsablauf.What do you dislike about Datadog?Meine größte Frustration mit Datadog liegt in seinem Preismodell und wie schnell die Ingestionskosten völlig außer Kontrolle geraten können, wenn man nicht hypervigilant ist.What problems is Datadog solving and how is that benefiting you?Datadog beseitigt das Rätselraten bei Produktionsvorfällen und spart Zeit, indem es eine nahtlose Verfolgung von Benutzeranfragen über Microservices hinweg ermöglicht.

What do you like best about Datadog?It is an all-in-one Observability tool which is a combination of infrastructure metrics, application logs, application performance monitoring, real user monitoring, and security monitoring. It has very good integrations with almost all cloud providers. The User Interface is very user-friendly.What do you dislike about Datadog?It's very costly. Sending application logs to Datadog can lead to unpredictable costs. Providing add-on features is a very complex task. It's difficult to learn for new users.What problems is Datadog solving and how is that benefiting you?Despite the cost, I love this tool. It helps in identifying real-time issues very quickly. We can easily identify slowness using APM metrics or which API is taking more time. Identifying 5xx errors becomes very easy using this tool.