How I Would Stabilize a Digital Payment Platform in 90 Days
Tarikbaki4 min read·Just now--
A BizOps perspective on operational control, risk reduction and system reliability
In my first month on the job, three critical incidents occur:
- A database is deleted due to a production mistake
- Management access to the network is completely lost
- A WAF activation introduces a memory leak and destabilizes the system
At first glance, these look like unrelated technical failures.
They are not.
They are different manifestations of the same underlying issue: lack of operational control.
The real problem
Most teams react to incidents in a predictable way:
- They fix the issue
- They bring the system back up
- They move on
But this approach only postpones the next failure.
The system continues to operate without control, and the same risks remain.
In payment systems, this is not acceptable. Problems do not stay technical. They quickly turn into customer impact and financial loss.
My approach
I don’t focus on fixing individual incidents.
I focus on building a system where the same type of incidents cannot happen again.
Diagnosis
The system is running, but it is not under control.
That means:
- There is a risk of data loss
- There is a risk of access loss
- There is a high probability of recurring incidents
And if nothing changes, it is only a matter of time.
Root causes
Across all three incidents, the same gaps appear:
- Change processes are not standardized
- Production access is not properly controlled
- Observability is insufficient
- There is no defined emergency access path
This is not a technology problem. It is a discipline problem.
Prioritization
I do not try to solve everything at once.
My priorities are clear:
- Eliminate irreversible risks such as data loss
- Ensure access continuity
- Improve system stability and visibility
- Optimize and scale
First 30 days: Stop the bleeding
The goal is simple: bring the system under control.
Change control
- No critical production change happens without approval
- Rollback readiness becomes mandatory
- Change windows are defined
Backup and recovery
- Restore tests are executed regularly
- RTO and RPO are defined and documented
- Point-in-time recovery is enabled where needed
Backups are not assumed to work. They are proven to work.
Access continuity
- Out-of-band access paths are configured
- Emergency access procedures are defined and logged
The system must remain reachable even when primary access fails.
Incident management
- Incidents are classified (Sev1–Sev3)
- War room is activated for critical cases
- Root cause analysis is mandatory within 72 hours
At this stage, the goal is not perfection.
It is to prevent the next critical failure.
30–60 days: Make the system visible
Once the immediate risks are contained, the next step is understanding the system.
Disaster recovery
- Failover is executed, not assumed
- Data consistency is verified
Tested recovery is the only real recovery.
Monitoring
- Latency
- Transaction success rate
- Error patterns
These are tracked as core health indicators.
If a risk is not visible, it cannot be managed.
SLO / SLA discipline
- SLA represents the external commitment
- SLO represents the internal target
- Error budgets introduce control over change velocity
Release discipline
- Pre-production validation becomes mandatory
- Feature flags and canary deployments are introduced
At this stage, the system becomes measurable and understandable.
60–90 days: Build resilience
With control and visibility in place, the focus shifts to resilience.
Automation
- Deployment and rollback processes are automated
- Manual intervention is reduced
This directly reduces human error.
Testing under stress
- Controlled stress tests are executed
- System limits are identified before production failures
Surprises should happen in test environments, not in production.
Proactive risk management
Key scenarios are defined:
- Replication lag
- Certificate expiration
- Capacity bottlenecks
- Vendor outages
Each scenario has:
- A runbook
- A test plan
The goal is not to eliminate all risk.
It is to eliminate unknown risk.
The role of BizOps
BizOps is not about doing the work.
It is about ensuring the work is done correctly and consistently.
It operates across:
- Engineering and compliance
- DevOps and business teams
- Security and vendors
Ownership is centralized. Execution is distributed.
Without clear ownership:
- Incident management becomes fragmented
- Accountability disappears
Cost versus risk
A common instinct is to start with tools.
That is usually the wrong starting point.
Tools without process create noise.
The correct approach is:
- Identify gaps
- Establish process
- Invest where necessary
Because the reality is simple:
A single critical incident in a payment system can cost more than all preventive investments combined.
This is not a cost discussion.
It is a risk decision.
What success looks like
After 90 days, the system is not just operational.
It is:
- Controllable
- Measurable
- Predictable
Key improvements include:
- Reduced incident recovery time
- Lower failure rates
- Verified disaster recovery capability
- Documented and auditable processes
Final thought
The goal is not to fix incidents.
The goal is to build a system where similar incidents do not happen again.
In payment systems, problems do not start as technical issues.
They are felt by customers.
And by the time customers feel them, it is already too late.
If you were stepping into this role, what would you prioritize in the first 30 days?
