Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.
incident.io is a Slack-native incident response and management tool that scales as your team grows. Hypergrowth companies use incident.io to automate incident processes, focus on fixing the issue, and learn from incident insights to improve site reliability and fix vulnerabilities. Learn more and see how it works on incident.io.
Based on our record, incident.io should be more popular than Datadog. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / 8 months ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 3 years ago
.. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: almost 3 years ago
We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 3 years ago
There are SaaS products out there that can help with data collection like incident.io or firehydrant.io to more quickly construct a timeline. Source: almost 1 year ago
My new favourite is https://incident.io. Great UI, great product, especially if you also need an incident management tool. Source: about 1 year ago
We did a pretty detailed write-up about a significant incident we had a few months back at incident.io: https://incident.io/blog/intermittent-downtime. Source: about 1 year ago
Co-founder of incident.io here, so I'll avoid throwing my thoughts around for obvious reasons. Source: about 1 year ago
I work at a company that offers a platform for this called https://incident.io/. Source: over 1 year ago
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