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Based on our record, Minio should be more popular than Amazon CloudWatch. It has been mentiond 156 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.
Real-time Monitoring with Amazon CloudWatch: Amazon CloudWatch enables you to monitor your Amazon Web Services Resources in real-time, collecting and tracking your metrics and log files automatically. Amazon CloudWatch enables automatic collection and tracking of metrics, collecting and monitoring log files, setting alarms, and reacting automatically to changes in your AWS resources across multiple regions.... - Source: dev.to / 2 months ago
There are several well-known 3rd party tools, such as Splunk or DataDog, but people often forget there is a handy set of tools provided by AWS under the CloudWatch banner. CloudWatch provides a range of services, such as exposing metrics, linking them to alarms, and X-ray services, to allow us to understand the performance of services in more depth. - Source: dev.to / 6 months ago
I use the OpenWeather API to receive the current temperature data by providing the latitude and longitude coordinates as query strings in the request. A Lambda function invokes the weather API and sends the current temperature value as a custom metric to CloudWatch. I then graph the temperature values on a dashboard and activate an alarm when the temperature sinks below zero degrees Celsius. - Source: dev.to / 6 months ago
The library provides “easy-to-use CDK constructs for monitoring your AWS infrastructure with Amazon CloudWatch.” It abstracts the CW widget creation and simplifies it with out of the box support for many AWS services such as API Gateway, Lambda, DynamoDB and more. - Source: dev.to / 8 months ago
Monitoring solutions - Familiarity with monitoring solutions like Amazon CloudWatch and AWS CloudTrail allows QA Engineers to proactively identify and address performance issues, ensuring optimal system functionality. - Source: dev.to / 12 months ago
The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 13 days ago
> When it gets too out of hand, people will paper it over with a new, simpler abstraction layer, and the process starts again, only with a layer of garbage spaghetti underneath. I'm pretty happy that there are S3 compatible stores that you can host yourself, that aren't insanely complex. MinIO: https://min.io/ SeaweedFS: https://github.com/seaweedfs/seaweedfs Of course, many will prefer hosted/managed solutions... - Source: Hacker News / 26 days ago
Here are the basic steps to getting a minio tenant deployed inot kubernetes. There are some pre-requisites tasks to be deployed (and will not be covered in this article) including. - Source: dev.to / 2 months ago
I'd throw minio [1] in the list there as well for homelab k8s object storage. [1] https://min.io/. - Source: Hacker News / 5 months ago
Can you just append the data to a blob using something like the s3 blob api? AWS, Azure and Minio https://min.io/ all support it. That way you don't have to reinvent the wheel. Source: 10 months ago
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