Services — DataOps & Managed Data Services
Your Data Platform Is Only as Good as Its Last Pipeline Run.
EXCO operates data platforms with the discipline of a product engineering team: monitoring, automated testing, SLA management and incident response that keep your data flowing.
- DataOps
- Pipeline Monitoring
- SLA Management
- CI/CD for Data
- Incident Response
- Managed Data Services
The Problem
Platforms Get Built. Then They Get Neglected.
Every data platform starts strong. Then the project team moves on and small failures begin: a pipeline silently loads stale data, a quality rule nobody checks, an incident nobody owns.
Data platforms need active operations. Without monitoring, release discipline and clear ownership, they degrade slowly, then suddenly.
Stale data nobody detected
A pipeline fails at 2am and reports show yesterday's data.
Incidents without owners
Nobody is on call and nobody has the runbook.
Deployments that break production
Changes go straight to production without testing.
Quality checked manually
Analysts spot-check data instead of automated rules.
No platform health view
Nobody knows what ran, failed or ran late.
Our Approach
Operational Excellence as a Managed Discipline.
We embed DataOps practices into your platform as an ongoing capability, with defined SLAs and transparent reporting.
- 01
Platform Onboarding
Audit pipelines, schedules, dependencies and failure history.
- 2–4 weeks
- 02
Monitoring Setup
Instrument every pipeline for freshness, volume and failures.
- Week 1–3
- 03
CI/CD for Data
Automated testing and controlled releases for pipeline changes.
- Week 3–6
- 04
SLA Definition
Agree SLAs per dataset and report weekly.
- Ongoing
- 05
Incident Response
Defined priorities, response times and root-cause reviews.
- Per SLA
- 06
Monthly Review
Review incidents, performance and improvement opportunities.
- Monthly
Reference architecture
Develop & Deploy
- Version control
- Automated tests
- Staging validation
- Controlled deploy
Monitor & Observe
- Pipeline health
- Data freshness
- Quality rules
- SLA tracking
Respond & Improve
- Incident response
- Root-cause analysis
- Remediation
- Monthly review
What We Deliver
Six Operational Capabilities. One Reliable Platform.
Delivered as a managed service with defined SLAs and transparent reporting.
Pipeline Monitoring & Observability
End-to-end monitoring of every pipeline for freshness, volume and failures.
- Freshness & latency monitoring
- Volume anomaly alerts
- Schema change detection
- Live operational dashboard
CI/CD for Data Pipelines
Automated testing and controlled releases for every pipeline change.
- Automated pipeline tests
- Staging environment
- Controlled deployment
- Rollback & change log
SLA Management & Reporting
Defined SLAs per dataset, reported weekly.
- SLA per dataset
- Weekly SLA report
- Breach notification
- Trend analysis
Incident Response
Tiered response with runbooks and root-cause reviews.
- Priority classification
- Runbooks per pipeline
- On-call rota
- Post-incident reports
Data Quality Monitoring
Automated quality rules running continuously at ingestion and transformation.
- Automated quality rules
- Quality trend dashboards
- Issue routing to owners
- Quality score per domain
Performance & Cost Optimisation
Ongoing tuning of query performance and cloud cost.
- Query performance analysis
- Cloud cost monitoring
- Capacity planning
- Monthly optimisation report
Typical Engagements
Operational Excellence in Practice
Banking · Regulatory
Monitored Reporting Pipelines
Monitoring and runbooks for pipelines behind regulatory reports.
Goal: No missed reporting deadlines
Any sector · Reliability
Platform Takeover & Stabilisation
An inherited platform audited, stabilised and documented.
Goal: Fewer failures, faster recovery
Commerce · Releases
CI/CD for Data
Automated tests and staged releases for pipeline changes.
Goal: Releases without production incidents
Any sector · Cost
Cloud Cost Optimisation
Query and storage tuning across an AWS data platform.
Goal: Lower monthly platform cost
FAQ
Common Questions
Can you support a data platform another team built?
Yes. We audit, stabilise and document it first, then operate it under agreed service levels.
Related
Paired With the RightSolutions & Services.
Article
Lambda or Glue? Handling a full-refresh API that broke Lambda's 15-minute limit
A Jira reporting pipeline outgrew AWS Lambda's 15-minute limit because the API could only return full data. How we moved heavy loads to one scheduled Glue job and kept Lambda for incremental work.
ExploreSolution
Data Management & Engineering
Pipelines, integration, data modelling and warehouses that bring every source into one reliable platform.
ExploreSolution
Cloud & DevOps
AWS cloud architecture, DevOps, CI/CD and cost optimisation for reliable, scalable systems.
ExploreSolution
Data Governance & Quality
Data quality controls, governance, lineage and data literacy that make your data trustworthy.
ExploreFor US, UK, EU & Middle East clients
Senior engineers with up to 14 years' experience, at a fraction of US, UK or European rates, with working hours that overlap yours.
For Bangladeshi businesses
The same international-standard team that serves global clients, with special local pricing in BDT.
Contracted SLAs, honest billing
Response times and deliverables are written into your contract. If we miss a contracted SLA, you don't pay for that incident. No hidden charges.
Your Platform Deserves Production-Grade Operations.
Talk to EXCO about monitoring, SLAs and managed support for your data platform.

