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Case Study - SMEs & Mid-Market

Running Cloud Operations Around The Clock For A Travel Booking Platform

  • Managed Cloud
  • 24x7 Operations
  • Incident & Problem Management
Running Cloud Operations Around The Clock For A Travel Booking Platform

A Mid-Market Online Travel Booking Company.

The Company Sells Flights, Hotels And Holiday Packages Through Its Website And Mobile Application, Serving Travellers Booking At Every Hour Of The Day And Night. Bookings Depend On Live Connections To Airline, Hotel And Payment Systems That Fail Independently And Without Warning.

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The Platform Ran In Public Cloud, Operated By A Team Of Four Engineers Who Also Built Product Features. Nights And Weekends Were Covered By Whoever Answered Their Phone, And Recurring Incidents Were Restarted Rather Than Investigated Because Nobody Had Time.

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Problem Statement

Despite A Capable Platform Team, The Company Struggled With:

  • 01

    No Overnight Coverage

    Failures Between Midnight And Morning Waited For Whoever Happened To Wake First.

  • 02

    Recurring Incidents

    The Same Failures Were Restarted Repeatedly Because Root Causes Went Uninvestigated.

  • 03

    Engineers Consumed By Operations

    Product Development Stopped Whenever The Platform Required Attention During Business Hours.

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Proposed Solution

The Engagement Took Over Cloud Operations Around:

  • Completed A Structured Transition-In Documenting Every Environment, Dependency And Recovery Procedure.
  • Established 24x7 Monitoring And Response With Defined Severity Levels And Escalation Paths.
  • Built Runbooks For Every Known Failure Mode, Automating The Steps Previously Performed Manually.
  • Introduced Problem Management Eliminating Recurring Incidents Rather Than Restoring Service Repeatedly.
  • Took Ownership Of Patching, Backup Verification And Capacity Review On A Published Schedule.
  • Provided Release Support So Deployments Proceed Outside Business Hours Without Engineering Presence.
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Operations Owned, Engineering Released

Every Environment Is Now Documented, Monitored And Operated Against Agreed Service Levels. Recurring Failures Are Investigated To Root Cause And Removed, So The Volume Of Incidents Falls Rather Than Being Absorbed More Efficiently.

  • Structured Transition-In Captured Knowledge That Existed Only In Individual Engineers' Memory Before Handover Began.

  • Automated Runbooks Execute Known Recovery Steps Within Minutes Regardless Of Which Engineer Is On Duty.

  • Problem Management Removes Recurring Failures Permanently Instead Of Restoring Service And Moving On.

  • Release Support Allows Deployments Overnight, Keeping Changes Away From Peak Booking Hours Entirely.

Result :

A Platform That Runs Without The Founders Awake

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Overnight Failures Are Detected And Resolved Before Travellers Encounter Them, And Recurring Incidents Have Largely Disappeared. The Platform Team Now Spends Its Time On Booking Features Rather Than On Keeping The Environment Alive.

24/7

Operations Coverage

08

Minute Mean Response

73%

Fewer Recurring Incidents

4.1x

Engineering Time On Product

Lessons Learned

The Engagement Highlighted Three Lasting Takeaways:

  • Document Before Taking Over

    Transition-In Surfaces Every Dependency Nobody Thought To Mention.

  • Fix Causes, Not Symptoms

    Restarting A Service Faster Is Not The Same As Needing To Less.

  • Small Teams Cannot Cover Clocks

    Four Engineers Cannot Staff Three Shifts, However Committed They Are.

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TECHNOLOGIES - TOOLS USED

Operations Run On Monitoring And Alerting Across Application, Infrastructure And Integration Layers, Feeding A Ticketing Platform With Defined Severity And Escalation. Runbook Automation, Patch Scheduling, Backup Verification And Capacity Reporting Operate Continuously, With Service Level Dashboards Published To The Client.

  • Cloud Monitoring & Alerting
  • Incident Management
  • Problem Management
  • Runbook Automation
  • Patch Management
  • Backup Verification
  • Capacity Reporting
  • Release Support
  • Configuration Management
  • Escalation Workflow
  • SLA Dashboards
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