dbpack VS dapr

The design idea of ​​dbpack is cloud-native, oriented to kubernetes environment, and runs as a sidecar. means that your service is to be deployed in a kubernetes cluster. The database connection is proxied by dbpack. The application client first connects to dbpack, and then dbpack connects to the physical database. Any SQL request of the application is proxied by dbpack. So you can specify a directory to have AuditLog output to. The format of the collected AuditLog is as follows： [timestamp],[username],[ip address],[connection id],[command type],[command],[sql text],[args],[affected row] The following is part of the AuditLog: 2022-06-14 07:15:44,dksl,172.18.0.1:60372,1,COM_QUERY,,SET NAMES utf8mb4,[],0 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,INSERT,INSERT INTO employees ( emp_no, birth_date, first_name, last_name, gender, hire_date ) VALUES (?, ?, ?, ?, ?, ?),['100000' '1992-01-07' 'scott' 'lewis' 'M' '2014-09-01'],1 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,DELETE,DELETE FROM employees WHERE emp_no = ?,['100000'],1 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,INSERT,INSERT INTO employees ( emp_no, birth_date, first_name, last_name, gender, hire_date ) VALUES (?, ?, ?, ?, ?, ?),['100001' '1992-01-07' 'scott' 'lewis' 'M' '2014-09-01'],1 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,SELECT,SELECT emp_no, birth_date, first_name, last_name, gender, hire_date FROM employees WHERE emp_no = ?,['100001'],0

The distributed transaction solutions of hptx and dbpack are the same, and both are driven by ETCD. The transaction data is rolled back through the asynchronous SQL compensation mechanism. After testing, on macbook pro, hptx can coordinate 38 distributed transactions per second, at the same time, using the XA protocol to coordinate distributed transactions can only coordinate 26 transactions per second.

There is DBPack: https://github.com/CECTC/dbpack

Diagrid Catalyst is a Developer API platform providing a brand-new approach to distributed application development. Using the Catalyst APIs, powered by the Dapr open source project, developers can overcome the complexity of rewriting common software patterns and achieve higher productivity by offloading infrastructure concerns from their code to Catalyst.

The following two examples are open-source projects maintained by Fermyon with contributions from companies like Microsoft and SUSE. The first is Spin, which allows us to use WebAssembly to create Serverless applications. The second, SpinKube, combines some of the topics I'm most excited about these days: WebAssembly and Kubernetes Operators :) The official website says, "By running applications in the Wasm abstraction layer, SpinKube offers developers a more powerful, efficient, and scalable way to optimize application delivery on Kubernetes." By the way, this post shows how to integrate SpinKube with Dapr, another technology I'm very interested in, and I should write some posts soon.

Speaking of this has anyone had much experience with Dapr (https://dapr.io/) before?

I always thought this was a particularly interesting approach from Microsoft where they use this pattern to essentially take the complexity of micro services and instead try and keep it as simple as a normal .NET application but (and I think this is the clever part) in both a vendor and language neutral way.

But all of a sudden it means you can start removing all kinds of cruft and random SDKs from your codebase and push almost all of your interactions with the outside world into something like this .

Azure Container Apps hosting of Azure Functions is a way to host Azure Functions directly in Container Apps - additionally to App Service with and without containers. This offering also adds some Container Apps built-in capabilities like the Dapr microservices framework which would allow for mixing microservices workloads on the same environment with Functions.

Having containers is nice but everything (well ... nearly everything 😉) gets better with Dapr as an outstanding tool for app development in the container-based area. Here we go what might be worth a look:

Anyone using or planing to use darp Distributed application platform runtime as a microservices platform? https://dapr.io/

A CNCF project, the Distributed Application Runtime (Dapr) provides APIs that simplify microservice connectivity. Whether your communication pattern is service to service invocation or pub/sub messaging, Dapr helps you write resilient and secured microservices. Essentially, it provides a new way to build microservices by using the reusable blocks implemented as sidecars.

Dapr is a runtime that implements common patterns such as pub/sub, state storage, etc. It runs as a sidecar to your app. Your app then interfaces with it using an sdk or http calls to use said patterns instead of implementing those patterns directly yourself. Seems pretty cool to me, but you can find out more at https://dapr.io/.

- Over 21k stars on GitHub, see the core repo and devstats.