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socketify.py
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Based on our record, AWS Trusted Advisor should be more popular than socketify.py. It has been mentiond 13 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.
Ensure your instances match workload requirements. Overprovisioned instances waste money, while underprovisioned ones hurt performance. Use AWS Trusted Advisor to identify right-sizing opportunities (AWS Trusted Advisor). - Source: dev.to / over 1 year ago
Usually we would use the AWS Trusted Advisor to monitor quota limits, but not every one can benefit from this service as it requires an AWS Business Support plan. Which if you spend ~$100k it will cost about $6900 per month. Or let's call it 7% of your spend. That's a lot. - Source: dev.to / almost 2 years ago
Regularly audit and monitor your S3 bucket configurations: Establish a routine for auditing and monitoring your S3 bucket configurations. You can also set up alerts for any changes to permissions or policies, enabling timely detection and response to potential security incidents. Additionally, you can utilize tools and services such as AWS Config, which helps you assess, audit, and evaluate the configuration of... - Source: dev.to / about 2 years ago
AWS Trusted Advisor is a service that provides best practice recommendations for your AWS account. It can identify potential cost savings, security issues, and performance optimizations, among other things. By regularly reviewing the recommendations provided by Trusted Advisor, you can ensure that your AWS account is following best practices and that you're getting the most out of your resources. Source: over 3 years ago
Have you looked at Trusted Adviser yet? https://aws.amazon.com/premiumsupport/technology/trusted-advisor/. Source: over 3 years ago
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.
Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.
Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.
Yandex.Metrica - A free tool for evaluating site traffic and analyzing user behavior