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  • Proposed name for projects: Logging and Analytics
  • Proposed name for the repository: logging-analytics

Project Description

ONAP consists of many components and containers, and consequently writes to many logfiles. The volume of logger output may be enormous, especially when debugging. Large, disparate logfiles are difficult to monitor and analyze, and tracing requests across many files, file systems and containers is untenable without tooling. 

Why a Logging Project

Keywords:

Centralized, Role based access, tracking, streaming, reporting

Feature /

Requirement

Description
F1Centralized Logs - all the logs available streamed in one place - search, visualize and report ready
F2Role based access - logs are accessible from outside the container - no ssh into the pod or tailing of the logs per microservice
F3

Tracking - If a unique ID is passed across microservices we can trace a transaction pass/failure through the system

requestID, InvocationID, Timestamp indexed

F4Reporting - track multiple transaction patterns and generate emergent or correlated behavior
F5Control over log content - collect, index, filter
F6Machine readable json oriented elasticsearch storage of logs


R1Logs are in the same (currently 29 field) format
R2Logging library requires minimal changes for use - using Spring AOP to get MARKER entry/exit logs for free without code changes
R3Logs are streamed to a central ELK stack
R4ELK stack provides for tracing, dashboards, query API


Project Description

ONAP consists of many components and containers, and consequently writes to many logfiles. The volume of logger output may be enormous, especially when debugging. Large, disparate logfiles are difficult to monitor and analyze, and tracing requests across many files, file systems and containers is untenable without tooling. 

The problem The problem of decentralized logger output is addressed by analytics pipelines such as Elastic Stack (ELK). Elastic Stack consumes logs, indexes their contents in Elasticsearch, and makes them accessible, queryable and navigable via a sophisticated UI, Kibana Discover. This elevates the importance of standardization and machine-readability. Logfiles can remain browsable, but output can be simplified.

Logger configurations in ONAP are diverse and idiosyncratic. Addressing these issues will prevent costs from being externalized to consumers such as analytics. It also affords the opportunity to remedy any issues with the handling and propagation of contextual information such as transaction identifiers (presently passed as X-ECOMP-RequestID - to be X-ONAP-RequestID). This propagation is critical to tracing requests as they traverse ONAP and related systems, and is the basis for many analytics functions. 

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  1. ONAP-wide changes to regularize logger providers, logger configuration and logger output. The changes are largely cosmetic, but greater coherence will simplify deployment orchestration and customization, and improve extensibility and support for analytics. 
  2. A reference analytics pipeline configuration consisting of:
  3. Documentation:
  4. Other example configurations, including: 
    • JSON output. 
    • Non-file transports, including SYSLOG and TCP.  
    • Durable shipping transports, such as Logstash persistent queues, or Kafka or Redis or similar if there's interest.
    • Kibana Dashboards.
    • s interest.
    • Kibana Dashboards.
  5. Audit:
    1. Specifically Post orchestration model based audit - Logging Scope Change for POMBA seed code  

Out of scope:

  • No impact on EELF or its use. Some ONAP components log via EELF, and some do not. This won't change.
  • No prescription of logging providers. Standardization is encouraged but not mandatory. Note that certain providers (e.g. legacy Log4j 1.X) may not support all output options.   
  • No changes to any ONAP component without consultation with its owners. Note that components whose provider configuration is NOT aligned may not have their logs indexed without (potentially costly) ad hoc indexing configuration.

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  • Filebeat shipping:
    • Line format and locations as discussed. 
    • Other shipping transports are simplified by regularized logger provider configuration. 
  • Logstash indexing.
  • Elasticsearch in a TBD minimal three-node cluster - currently a single container. 
  • Kibana Discover UI.
  • Fullly automated Kubernetes deployment based on ONAP Operations Manager.

Image Removed

  • Currently: Available via 20170914 master build
  • Affects: 
    • Adds analytics capability, but no impact on individual ONAP components. 
    • Reconfiguration, including replacement with OTHER analytics pipelines will be similarly transparent.
  • Priority: HIGH.
  • Why: 
    • Demonstrates a bolt-on analytics capability.
    • Provides a working analytics OOB.
    • Elastic Stack is available as FOSS. 
  • Notes:
    • Files + Filebeat are the lowest common denominator. They provide a simple mechanism for resilience, and yet require no disruptive (for example classpath) changes. 
    • Other sources of logs can be indexed, with appropriate configuration. Generally these will not be able to be correlated with an ONAP transaction, however. 

Transactions

Propagate transaction ID

Reliable propagation of transaction identifiers is critical to tracing requests through ONAP. 

  • Currently: patchy. 
  • Affects: to be determined, but at least a few components and integration points.
  • Why: reliable propagation is a prerequisite for analytics.
  • Notes:

    • This is normally achieved:

    • This also requires the generation of transaction IDs in initiating components. 

    • For this to be economical, a remit is sought to make minor changes across the ONAP codebase. 

Rename X-ECOMP-RequestID

Update X-ECOMP-RequestID to X-ONAP-RequestID throughout. 

  • Currently: X-ECOMP-RequestID.
  • Affects: all ONAP components. 
  • Why: ECOMP renamed to ONAP.
  • Notes:
    • This may already have been fixed in another branch. 
    • If not, it can be dealt with at the same time as applying changes to defaults, etc.

Key Project Facts

Image Added

  • Currently: Available via 20170914 master build
  • Affects: 
    • Adds analytics capability, but no impact on individual ONAP components. 
    • Reconfiguration, including replacement with OTHER analytics pipelines will be similarly transparent.
  • Priority: HIGH.
  • Why: 
    • Demonstrates a bolt-on analytics capability.
    • Provides a working analytics OOB.
    • Elastic Stack is available as FOSS. 
  • Notes:
    • Files + Filebeat are the lowest common denominator. They provide a simple mechanism for resilience, and yet require no disruptive (for example classpath) changes. 
    • Other sources of logs can be indexed, with appropriate configuration. Generally these will not be able to be correlated with an ONAP transaction, however. 

...

Transactions

Propagate transaction ID

Reliable propagation of transaction identifiers is critical to tracing requests through ONAP. 

  • Currently: patchy. 
  • Affects: to be determined, but at least a few components and integration points.
  • Why: reliable propagation is a prerequisite for analytics.
  • Notes:

    • This is normally achieved:

    • This also requires the generation of transaction IDs in initiating components. 

    • For this to be economical, a remit is sought to make minor changes across the ONAP codebase. 

Rename X-ECOMP-RequestID

Update X-ECOMP-RequestID to X-ONAP-RequestID throughout. 

  • Currently: X-ECOMP-RequestID.
  • Affects: all ONAP components. 
  • Why: ECOMP renamed to ONAP.
  • Notes:
    • This may already have been fixed in another branch. 
    • If not, it can be dealt with at the same time as applying changes to defaults, etc.

...

Key Project Facts

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Resources

Existing logging guidelines:

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