| Algorithm | Description | Type | Pros | Cons | Use Cases | | ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------- | --------------------------------------
Mode | Description | Advantages | Disadvantages |
---|---|---|---|
Userspace | Initial default mode, watches Kubernetes API server for changes in services and endpoints, creates userspace proxy server for each service port |
Aspect | Description | Example | Solution |
---|---|---|---|
Data Synchronization | Data inconsistency issues among multiple servers or resources | User updates profile on one server but not on another | Implement data replication, caching, locking |
Session Persistence | Disrupted user sessions due to lack of shared session information | User loses authentication or shopping |
Aspect | Istio | Linkerd | Consul Connect |
---|---|---|---|
Complexity | Advanced feature set, suitable for complex, distributed systems | Simpler approach, easier to learn and operate | Limited features, suitable for small-scale applications |
Scalability | High scalability, suitable for large-scale applications | Lower scalability, suitable for smaller applications | Low scalability, suitable for small-scale applications |
Security | Robust security features, suitable for sensitive applications | Basic security features | Limited security features, not suitable for sensitive |
Aspect | Feature Set | Ease of Use | Scalability | Observability | Security | Integration | Service Discovery and Load Balancing | Traffic Management | Security | Observability |
---|---|---|---|---|---|---|---|---|---|---|
Istio | Advanced | Steep learning curve | Highly scalable | Extensive metrics and logs collection | Robust |
Aspect | Description |
---|---|
Metrics Collection | Service meshes collect metrics about service performance, latency, error rates, and other relevant indicators. Helps identify bottlenecks, troubleshoot issues, and optimize service behavior. Popular monitoring system Integrations include Prometheus with Istio and Linked |
Logging | Service meshes generate logs containing information about incomin |
Aspect | Description |
---|---|
Encryption | Service meshes encrypt communications between services using industry-standard protocols such as TLS or SSL. Default enablement by Istio ensures confidentiality and tamper-proofing of data transmitted between services |
Authentication | Service meshes use standard authentication protocols like OIDC or JWT to authenticate clients and service |
Aspect | Description |
---|---|
Retry Policies | Configure the number of retries, delay between retries, and other parameters when a service fails to respond. Helps prevent cascading failures and reduce the likelihood of timeouts. Envoy, a popular service mesh proxy, offers robust retry policies out of the box |
Timeouts | Set timeouts for individual services or circuits to prevent hung requests that can cause service instability. The service mesh can redirect the request t |
Aspect | Description |
---|---|
Dual-Track Development | Developing two branches of a service in parallel, one for bug fixes and maintenance (blue branch), and another for new features and innovation (green branch) |
Continuous Integration and Deployment | Automating the build, test, and deployment processes using continuous integration and deployment (CI/CD) pipelines |
Traffic Shifting | Gradually routing traffic from the old version (blue) to the new version (green) after the new version has been verified and validated |
Aspect | Definition |
---|---|
Gradual Rollout | Incremental introduction of a new service version into production, starting with a small percentage of traffic and gradually increasing |
A/B Testing | Compares the performance of two versions of a service, typically the old and new versions, to evaluate the effectiveness of changes |
Rolling Update | Upgrading instances of a service one at a time, rather than all at once, to minimize disruption and ensure availability |