Service Mesh Transaction Delay for Overload Avoidance
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Solution Overview
Problem
Current circuit breaking mechanisms are inadequate in preventing transaction failures and resource wastage in microservices architectures, as they do not effectively anticipate and prevent service overload or unavailability, leading to unnecessary resource consumption and potential data loss.
Innovation Solution
A method that forecasts overloaded periods in services by analyzing historical data using service-related and user-related metrics, and delays transaction sequences to avoid service overload or unavailability, using techniques such as pattern analysis or machine learning to predict when a transaction will arrive during an overloaded period, thereby activating circuit breakers or adjusting transaction sequences to prevent failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If circuit breaking is activated to prevent service overload, then service reliability is improved, but transaction processing time increases due to timeout and retry delays
Solution Approach 1:
The system performs preliminary actions by forecasting overloaded periods before they occur and delaying transactions in advance. The service mesh forecasts when a service will become overloaded, then proactively delays transactions before the overload occurs, preventing circuit breaker activation and avoiding timeout retries. This resolves the contradiction by eliminating both the reliability issue (no failures) and the time loss (no retries needed).
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring service metrics (latency, traffic, errors, saturation) and using this feedback to forecast future overloaded periods. The service mesh adjusts transaction routing based on this feedback loop, delaying transactions only when forecasted overload is detected, thus optimizing both reliability and processing time dynamically.
2Loss of energy
If transactions are delayed to avoid service overload, then resource wastage is reduced, but transaction completion time increases
Solution Approach 1:
The system delays transactions preliminarily before the overloaded period occurs, rather than after failure. By forecasting the overload window and holding transactions in a delayed state until the forecasted period ends, the system prevents resource wastage from failed transactions while minimizing total completion time, as transactions resume immediately after the forecasted overload window closes.
3Reliability
If circuit breakers are used to limit failure impact, then service resilience is improved, but transaction throughput decreases due to request blocking
Solution Approach 1:
Instead of blocking requests with circuit breakers after failure detection, the system performs preliminary action by forecasting overloaded periods and delaying transactions before the overload occurs. This maintains high throughput during normal periods while preventing failures during forecasted overload windows, thus improving resilience without sacrificing productivity.
Solution Approach 2:
The service mesh acts as an intermediary between the caller service and the callee service. It forecasts overloaded periods and intermediates transaction flow by delaying requests during forecasted overload windows, rather than allowing direct failed connections. This intermediary approach maintains throughput by smoothly routing transactions around predicted failure periods.
Data Source
AI summary
An overloaded period of a first service is forecast. A first transaction is predicted to arrive at the first service during the overloaded period. At a second service, a transaction sequence including the first transaction is delayed, the delaying resulting in a delayed transaction sequence, the delayed transaction sequence delaying arrival of the first transaction at the first service until after the overloaded period.