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Based on our record, Amazon CloudWatch should be more popular than Databricks. It has been mentiond 54 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
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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