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.
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Based on our record, Amazon VPC should be more popular than Datadog. It has been mentiond 20 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.
Private regional endpoint. Same as Regional Endpoint, but the application will be available only in your Virtual Private Cloud (your network inside AWS). - Source: dev.to / about 1 month ago
Amazon VPC (networking & content delivery) Amazon Virtual Private Cloud (Amazon VPC) enables you to launch AWS resources into a virtual network that you've defined. This virtual network closely resembles a traditional network that you'd operate in your own data center, with the benefits of using the scalable infrastructure of AWS. Https://aws.amazon.com/vpc/. - Source: dev.to / over 1 year ago
All the application components reside within an AWS VPC in a region. - Source: dev.to / over 1 year ago
Today, though, we're going to focus on Amazon Redshift. Specifically, we're going to walk through the process of writing a Pulumi program that provisions a single-node Redshift cluster in an Amazon VPC, then we'll load some sample data into the warehouse from Amazon S3. We'll load this data manually at first, just to get a sense of how everything works when it's all wired up, and then later, in a follow-up post,... - Source: dev.to / over 1 year ago
The difference is a matter of networking implementation details of AWS (VPCs, Private IPv4 Addresses, and Egress fees, but it would allow traffic generated from an internal source to completely stay inside the box and avoid any egress fees. Source: over 1 year ago
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 / 9 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: about 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
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