Based on our record, Apigee should be more popular than ProxySQL. It has been mentiond 16 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.
Implement automated tools like Apigee or Kong to get detailed analytics and security insights for your APIs. - Source: dev.to / 4 months ago
Machine learning-powered abuse-detection dashboards are available in Advanced API Security, a feature of Apigee API management that enables customers to quickly detect API security misconfigurations, bad bots, and malicious activities. In addition, the models behind the dashboard are trained to detect business logic attacks by Google’s internal teams to help protect their public-facing APIs. Source: about 1 year ago
Gateway-level rate limiting is typically implemented in API gateways such as Kong, Google's Apigee, or Amazon API Gateway. - Source: dev.to / about 1 year ago
Are you considering using Apigee (Edge, on prem, X or hybrid) anytime soon as a middleware? Source: over 1 year ago
Apigee is a comprehensive platform for designing, building, and testing APIs. It includes a feature called "API mocking," which allows you to create a mock version of your API for testing and development purposes. In addition to the mock feature, Apigee also includes a wide range of tools for API development, including support for API design, documentation, testing, and deployment. - Source: dev.to / over 1 year ago
Another option could be ProxySQL, where you can cache queries on the ProxySQL server. Source: over 1 year ago
Also, if you're not using it yet, I can recommend looking at ProxySQL to do your read-write/read-only failover controls. Source: over 1 year ago
What are the recommendations here? I took a look into ProxySQL and it looks like since v2, it can do frontend and backend SSL connections. I have it locally working on a docker setup. Source: over 1 year ago
DB: Split you write-read operations. You may scale read as needed. Write operations can be slow if you have too many indices, so make sure to use only the ones you really need. Your DBMS may have some configuration to optimise, for example in MySQL if you do NOT need ACID compliance you can set innodb_flush_log_at_trx_commit = 2 to achieve better write speed. For MySQL you should also look into https://proxysql.com/. Source: almost 2 years ago
A Layer-7 Database Load Balancer is optional here. An L7-DBLB can be used for various use cases (eg: ProxySQL). One or more database instances handle queries from the web server. A Client-side DB query/connection load balancing can also be used instead of an L7-DBLB according to the use case of the application. - Source: dev.to / almost 2 years ago
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