Comments (4)
Doesn't this solve the alive
endpoints we provide in GQL and REST endpoint? Should this do something more?
from evitadb.
Yes, I'm implementing it on the "system" endpoint so we don't have to rely on APIs that could be disabled at any time. I will also detect the situations when queues are full and requests are rejected, also when GC cannot free memory and the system will crash due to insufficient memory, and also when there are a lot of internal errors that might signal some problem. This is not covered by our "liveness" probes in the GQL / REST APIs.
from evitadb.
We should also prepare readiness probe. See Kubernetes documentation
from evitadb.
Documented here: https://evitadb.io/documentation/operate/monitor?lang=evitaql#readiness-and-liveness-probes
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Related Issues (20)
- Issues applying partial rollback in atomic entity mutation
- Ensure the computation is killed quickly when timeout is exceeded HOT 1
- Transaction pipeline finishing with exception
- Histogram values are not monotonic in Inverted histogram
- Support for layering configuration
- Exception when querying non-existent entity by unique attribute HOT 1
- Avoid certificate generation when no TLS endpoint is configured
- Catalog data file gets broken after compaction
- Query targeting localized attribute returns no result
- Referenced entity bodies are not returned for hierarchically fetched parents
- Selecting facet combination from different groups enables hasSense for invalid facets
- Allow custom price for sale parameters for `multiplePricesForSaleAvailable` field in GQL HOT 2
- Filter references without referenced objects (optionally) HOT 1
- Support for disabling keep-alive header in configuration
- Unique ID identifying the catalog
- System status endpoint doesn't work
- SortIndex handles BigDecimal in wrong way
- System services for evitaLab HOT 1
- Failed to remove all references
- Remove classifier token distinction in evitaQL parser HOT 1
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