
Datadog
Zabbix
NewRelic
Dynatrace
Microsoft System Center
Sumo Logic
LogicMonitor
Grafana
Generate Data
Mockaroo
FakerBox
Data Creator
RandomPhoneNumber.online
RandTools
Dummy File Generator
DDL to Data
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.
Datadog
Generate DataBased on our record, Generate Data should be more popular than Datadog. It has been mentiond 14 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 / almost 3 years ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 3 years 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 5 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 5 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 / over 5 years ago
When you're learning SQL or testing queries, having access to realistic mock data is essential. Tools like Mockaroo and GenerateData can quickly create large datasets that you can upload into your database. You can define custom fields like names, dates, and even randomly generated emails to match your needs. - Source: dev.to / about 1 year ago
Since you will almost certainly need data to work on, I recommend generatedata.com. Source: about 3 years ago
Like this one I just found randomly. https://generatedata.com/. Source: about 3 years ago
To play around with data generation and make a custom dataset I can recommend using โ https://generatedata.com/. Iโve used it to generate 1๐ records of the data. At the moment of writing this article, the basic yearly plan costs 25$ and you would not regret it. - Source: dev.to / over 3 years ago
Good morning, I should populate my db with fake data and I tried generatedata.com and mockaroo.com but they both have limits on the number of rows (500 and 1000 respectively). Do you know of any site/software that allows me to produce fake data of 5000/10000 rows at a time? Thanks in advance. Source: about 4 years ago
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Mockaroo - A realistic data generator to test your app
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
FakerBox - Free Data Generator For Developers, Designers & Testers
Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!
Data Creator - Data generator that can create a table filled with pseudo-random content.