From Code to Continuous Delivery

As DevOps adoption grows, DevOps teams are challenged by accelerated release cycles
that lead to new deployment complexity, increased performance and availability issues,
and difficulty syncing multiple development workstreams.

DevOps drives cross-organizational team collaboration, which creates
the need for more integration between existing legacy tools. As such,
DevOps has created a need for more integration between crossorganizational
tools. While continuous integration, automated testing
and continuous delivery have greatly improved the quality of software,
clean code doesn’t mean software always behaves as expected.

Current State

DevOps teams are challenged with monitoring, tracking and troubleshooting issues in a context where tools across the toolchain emit their own logging data.

  • Legacy tools not integrated, no single source of truth.
  • No standard for logging events from applications that may use Web services distributed across the net.
  • Accelerated release cycles lead to deployment complexity.
  • Difficulty in collaborating across silos.
  • Difficulty syncing multiple development workstreams.
  • No predictive analytics to project future KPI violations.
  • No proactive push notifications to alert on service outages.

Negative Consequences

No Consistency

  • Ops is spending more time troubleshooting.
  • Development is drawn into production troubleshooting.
  • Service levels have degraded with more frequent releases.
  • Performance and availability problems have increased.

No Centralization—Simply put, log data is everywhere

  • Logs are distributed across locations in the cloud or various servers.
  • Many locations of various logs on each server.
  • SSH + GREP doesn’t scale.

No Visibility—High-value data is buried in petabytes

  • Expertise required to mine data.
  • Meaningful views are difficult to assemble.
  • No real-time visibility.
  • Immense size of Log Data.

Source: Sumologic

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