Service — DataOps & Platform Operations

Your Data Platform Is
Only as Good as Its
Last Pipeline Run.

CALIGO operates enterprise data platforms with the discipline of a product engineering team — continuous integration, automated testing, pipeline monitoring, SLA management, and incident response. We keep your data flowing reliably.

DataOps FrameworkPipeline MonitoringSLA ManagementCI/CD DeploymentData Quality MonitoringIncident ResponseObservability
Service Commitments
P1 Acknowledge15 minutes
P1 Resolution4 hours
P2 Resolution24 hours
Reporting CadenceWeekly SLA
CoverageBusiness hours / 24/7
Data Freshness SLAPer asset, defined
99.6%
Platform availability typical
90min
Mean time to resolve
47
Pipelines monitored per engagement
0
Missed regulatory submissions
The Problem

Platforms Get Built. Then They Get Neglected.

Every data platform starts strong. Pipelines run, dashboards load, reports publish on time. Then the project team moves on and the small failures begin — a pipeline that silently produces stale data, a quality rule nobody checks, an incident that takes three days to resolve because nobody has the runbook.

Enterprise data platforms require active operations — continuous monitoring, regular deployment cycles, proactive quality management, and disciplined incident response. Without this, they degrade. Slowly, then suddenly.

Stale Data Nobody Detected
A pipeline fails silently at 2am. Reports run the next morning on yesterday's data. Nobody knows until a business user spots an anomaly.
Incidents Without Owners
When something breaks, nobody is on call, nobody has the runbook, and resolution depends on finding the original developer who may have left the organisation.
Deployments That Break Production
Code changes go straight to production without testing — because there is no CI/CD process. Every pipeline deployment is a gamble.
Data Quality Checked Manually
Quality is validated by analysts running spot-checks rather than automated rules that catch issues at ingestion — problems reach consumers before anyone notices.
No Platform Health Visibility
There is no operational dashboard. Nobody knows which pipelines are running, which are late, or what SLA performance was last month. Health is invisible until something breaks.
What We Deliver

Six Operational Capabilities. One Reliable Platform.

Each capability is delivered as a managed service with defined SLAs, transparent reporting, and a dedicated CALIGO team.

Pipeline Monitoring & Observability
End-to-end monitoring of every pipeline — freshness, row counts, schema integrity, latency, and business-rule validation. Issues detected automatically, routed before downstream impact.
Freshness & latency monitoring
Schema drift detection
Business-rule anomaly alerts
Live operational dashboard
CI/CD for Data Pipelines
Continuous integration and deployment — automated testing of transformations, staging environment promotion, and controlled production deployments with rollback capability.
Automated transformation testing
Staging environment
Controlled production deploy
Rollback & change log
SLA Management & Reporting
Defined SLAs for every critical data asset — availability, freshness, quality — reported weekly. Breaches trigger immediate incident response, not a ticket in a backlog.
SLA definition per asset
Weekly SLA report
Breach notification
Monthly trend analysis
Incident Response & On-Call
Defined response coverage with tiered response times — P1 acknowledgement in 15 minutes, resolution or workaround in 4 hours. Every incident receives root cause analysis.
P1: 15-min acknowledge, 4-hr resolve
Severity classification
Runbooks per pipeline
Post-incident RCA report
Data Quality Monitoring
Automated quality controls running continuously — completeness, accuracy, consistency, and timeliness rules at ingestion and transformation, with dashboards and issue routing.
Automated DQ rules at ingestion
Quality trend dashboards
Issue routing to data owners
Quality score per domain
Platform Performance & Cost Optimisation
Ongoing monitoring of query efficiency and cloud resource consumption — identifying optimisation opportunities and ensuring the platform scales cost-efficiently.
Query performance analysis
Cloud cost monitoring
Capacity planning
Monthly optimisation report
How We Operate

Operational Excellence as a Managed Discipline.

We embed DataOps practices into your platform operations — not as a one-time implementation, but as an ongoing operational capability with defined SLAs and transparent reporting.

DataOps Operational Loop
Develop & Deploy
Version Control
Automated Tests
Staging Validation
Controlled Deploy
↓ Run ↓
Monitor & Observe
Pipeline Health
Data Freshness
Quality Rules
SLA Tracking
Anomaly Detection
↓ Alert & Respond ↓
Respond & Improve
Incident Response
Root Cause Analysis
Remediation
Monthly Ops Review
01
Platform Onboarding
We audit your existing platform — pipelines, schedules, dependencies, quality rules, and failure history — establishing an operational baseline before taking over operations.
2–4 Weeks
02
Monitoring Instrumentation
Every pipeline and data asset is instrumented with monitoring — freshness checks, row count validation, schema drift detection, and business-rule anomaly alerts.
Week 1–2
03
CI/CD Implementation
We implement CI/CD for your data platform — automated testing, staging environments, and controlled production deployment with rollback capability.
Week 2–4
04
SLA Definition & Reporting
SLAs are defined per data asset and reported weekly to business stakeholders. Breaches trigger immediate response — not a ticket in a backlog.
Ongoing
05
Incident Response Coverage
On-call coverage with defined response times. Every incident receives root cause analysis and a remediation action to prevent recurrence.
P1: 15-min SLA
06
Monthly Operations Review
Monthly review of SLA trends, incident patterns, pipeline performance, and technical debt — with proactive recommendations for platform improvement.
Monthly cadence
Use Cases

Operational Excellence in Practice.

These outcomes were achieved in production environments — not in controlled tests. Platform reliability is measurable.

Banking · Regulatory
COREP Pipeline — Zero Missed Submissions in 18 Months
A bank's COREP reporting pipeline was failing periodically at month-end. CALIGO implemented monitoring, load testing, and SLA-driven on-call coverage.
18 months: zero missed regulatory submissions
Telecom · Platform
MTTR Reduced from 14 Hours to 90 Minutes
A telecom operator's data platform had no monitoring and no runbooks — incidents averaged 14 hours to resolve. CALIGO implemented full observability and on-call coverage.
MTTR: 14 hours → 90 minutes
Insurance · CI/CD
Weekly Releases Without Production Risk
An insurer's pipeline changes went straight to production without testing — frequent DQ incidents resulted. CALIGO implemented CI/CD with automated testing and staging.
Deployment-related incidents reduced to zero
Banking · Cloud
Cloud Cost Optimisation — 31% Reduction
An over-provisioned Azure data platform was running inefficient queries. CALIGO's DataOps team audited and optimised — reducing monthly cloud spend by 31% with no SLA impact.
Platform cloud costs reduced 31% in 90 days
Your Platform Deserves Production-Grade Operations.
Data platforms that aren't actively operated become liabilities. Talk to CALIGO about DataOps coverage — from monitoring and observability to full 24/7 managed operations.