Package Manager | Registry | CLI | Ecosystem |
---|---|---|---|
NPM | npmjs.com | npm-cli | Node.js |
YARN | npmjs.com | yarn-cli | Node.js |
PNPM | npmjs.com | pnpm-cli | Node.js |
Package Manager | Verification | Isolation | Resolution |
---|---|---|---|
NPM | SHA-512 | No | Semver |
YARN | SHA-1 | No | Semver |
PNPM | SHA-512 | Yes | Strict |
Feature | Gradle | Maven |
---|---|---|
Build Model | Flexible and customizable | Standardized and opinionated |
Dependency Management | Highly flexible and efficient | Robust and reliable |
Function | Description |
---|---|
consume(reader, limit) | Consume messages from the Kafka server |
createTopic(address, topic) | Create a new topic |
listTopics(address) | Return a unique set of topics |
produce(writer, messages) | Produce messages to the Kafka server |
reader(brokers, topic) | Instantiate a new Reader instance |
writer(brokers, topic) | Instantiate a new Writer instance |
Reader: Consumer | Writer: Producer | Metrics | Description |
---|---|---|---|
✓ | ✓ | dial.count | Total number of times the reader/writer tries to connect to Kafka |
✓ | ✓ | error.count | Total number of errors occurred when reading/writing from/to Kafka |
✓ | ✓ | message.bytes | Total bytes consumed/produced |
✓ | ✓ | message.count | Total number of messages consumed/produced |
✓ | fetches.count | Total number of times the reader fetches batches of messages from Kafka | |
✓ | timeouts.count | Total number of timeouts occurred when reading fro |
Aspect | Flink | Spark | Storm | Kafka |
---|---|---|---|---|
Type | Hybrid (batch |
Problem | Explanation | Solution |
---|---|---|
Resource Utilization | Each host may not be fully utilized, resulting in wasted resources | Use containerization technologies like Docker to deploy multiple service instances on a singl |
Problem | Explanation | Solution |
---|---|---|
Provisioning | Lack of control on service instances unless each instance is a separate process | Provision separate hosts for eac |
Problem | Explanation | Solution |
---|---|---|
Resource Overhead | Deploying each microservice instance as a separate VM can result in a significant resource overhead, increasing the cost of deployment | Analyze resource requirements for each microservice and optimize resource allocation to minimize overhead and cost |
Complexity | Managing m |
Problem | Explanation | Solution |
---|