Same DBRE. Your problem.
Whether you're the one debugging at 3am, the one getting paged, or the one explaining the outage to the board, SIXTA changes what your day looks like.
Stop doing the same investigation for the third time this month
SIXTA handles the repetitive investigation and tuning work so you can focus on architecture, migrations, and strategy. You approve every change.
It connects directly to your MySQL and PostgreSQL instances, understands schemas, query plans, and workload patterns, and traces symptoms to specific root causes at the SQL level. The analysis lands in Slack, not another dashboard you need to keep open.
As SIXTA proves itself, you can unlock autonomous actions for safe, level-1 and level-2 DBRE work: adding indexes, killing runaway queries, adjusting connection pools. Each action type is individually gated. You stay in control.
Incident root cause analysis
From symptom to database-level root cause in minutes. Not "CPU is high." More like "replication lag caused by vacuum falling 3 days behind on the orders table — autovacuum is being cancelled by long-running analytics queries hitting the same relation."
Proactive degradation detection
Spots patterns too gradual for threshold alerts. A query getting 2% slower each week. A connection pool trending toward capacity. Gives you time to fix things during business hours.
Knowledge capture
When you go on holiday, your diagnostic intuition doesn't go with you. SIXTA retains institutional knowledge that's usually locked in one person's head.
Symptom: Replication lag 45s, rising
Replica: prod-pg-replica-02 falling behind
Root cause chain:
1. Autovacuum on orders cancelled 3x
Dead tuples: 14.2M (18% of table)
2. Cancelled by long-running analytics query
PID 28417, running 4h12m, holding
AccessShareLock on orders
3. Table bloat → sequential scan cost rising
WAL generation rate: 3.2x normal
Replica can't keep up with WAL volume
Recommendations:
1. Terminate PID 28417 (analytics query)
2. Run manual VACUUM on orders
3. Set statement_timeout for analytics role
4. Consider partitioning orders by quarter
Priority: High — replica lag affects read traffic
Last night your on-call paged a DBA at 3 AM. The DBA asked three questions SIXTA could have answered in two minutes.
Every database escalation follows the same script. The DBA asks: what changed? which queries are affected? when did it start? Then they open the same tools, check the same things, and arrive at an answer your SRE could have reached — if they'd had the diagnostic depth.
SIXTA gives your on-call that depth. Root cause at the query and table level. Correlation with recent deploys and config changes. The answer delivered to Slack, not after an hour of triage, but while the incident is still forming. Your SREs stop being dependent on the DBA for routine incidents. Your DBAs stop being woken up for problems beneath their skill level. Less finger-pointing — because both sides are working from the same evidence.
SIXTA runs inside your infrastructure and connects directly to the databases. No dependency on a separate observability platform. No additional SaaS data pipeline to manage. It handles level-1 and level-2 DBRE work so your on-call rotation gets lighter.
If your team runs an internal DBaaS — managing the database layer so application teams don't have to — SIXTA integrates at that platform level. Your application DBAs get the reliability improvements without accessing server, network, or storage layers directly. The infrastructure stays invisible.
Resolve without escalating
SIXTA gives your on-call engineer a senior DBA's diagnostic perspective in minutes. Root cause, affected queries, recommended fix — enough to act without paging another team.
Answer 'was there a change?' instantly
The first question every SRE asks during an incident. SIXTA correlates database behaviour with recent deploys, config changes, and schema modifications — and tells you in Slack.
Challenge the DBA's assessment with data
When the DBA says 'it's not the database,' your SRE can pull up SIXTA's analysis and have an evidence-backed conversation. Capability, not dependency.
The incident record writes itself
Every SIXTA investigation produces a structured summary — root cause, resolution, timeline, evidence — ready to drop into ServiceNow, Jira, or wherever your incident records live. No more reconstructing what happened from Slack threads at 4 AM.
03:12 PagerDuty: latency spike on checkout-service
03:14 Open Datadog — CPU and I/O both elevated
03:18 Check recent deploys — nothing since yesterday
03:23 Is it the database? Open slow query log
03:29 Can't tell. Page the DBA on-call
03:34 ... waiting for DBA to wake up, join call ...
03:41 DBA checks: backup job running during batch window
03:48 DBA confirms: not a code issue, I/O contention
03:52 Reschedule backup window, verify resolution
Total: 40 minutes (20 of them waiting)
With SIXTA:
03:12 SIXTA to #db-incidents:
Latency spike on prod-pg-primary-01.
Root cause: nightly backup overlapping with
batch job — I/O contention, not a code change.
No schema or deploy changes in last 24h.
Recommendation: shift backup window to 05:00.
03:15 Review analysis — makes sense, no DBA needed
03:17 Adjust backup schedule, verify resolution
Total: 5 minutes. No escalation.
Your most expensive engineers are doing the cheapest work
SIXTA gives your existing team the capacity of two additional senior DBREs, without the six-month recruiting cycle. Every action is traceable and compliant.
Your senior DBAs cost $180K+ a year. They spend 60% of their time on incident response and reactive troubleshooting — level-1 and level-2 DBRE work that follows repeatable diagnostic patterns. Meanwhile, the strategic projects that actually move the business forward sit in the backlog because nobody has time.
SIXTA absorbs the diagnostic toil. Every recommendation comes with measurable context: query time reduction, incident frequency, capacity reclaimed, and priority ranking across your environment. Pair that with your infrastructure costs and you can report on database reliability improvements in language the CFO understands, not just MTTR charts.
MTTR reduction
Database incident resolution drops from hours to minutes. Fewer customer-facing outages. Fewer "we're aware of the issue" status page updates.
Team productivity and retention
Invert the ratio: 60% incident response becomes 60% strategic work. Junior engineers can resolve complex issues with SIXTA-guided analysis. On-call burnout drops.
Quantifiable infrastructure savings
Every optimisation recommendation includes measurable impact — query time reduction, incident frequency, hours reclaimed. Pair that with your infrastructure costs and the board-ready number writes itself.
Incidents analysed: 34
Avg resolution time: 8 min (was 52 min)
Autonomous fixes: 12 of 34
Top optimisations applied:
1. Orders index: $47K/yr saved
2. Session cleanup: $23K/yr saved
3. Report refactor: $18K/yr saved
Total quarterly impact: $88K saved
SIXTA cost: $4.8K
ROI: 18x
Enterprise fleet · 7,000 databases
SIXTA interventions/DB/year: 6
Total annual interventions: 42,000
Avg time saved per intervention: 1h
Hours reclaimed/year: 42,000
DBA cost (24/7, fully loaded): €60K/yr
Annual savings: €294K
Equivalent headcount freed: ~5 DBAs
Based on parameters from a former Head of Data
at a tier-1 European bank.
Which problem hits closest to home?
We'll connect to your databases and show you exactly what SIXTA finds. No commitment. No sales pitch. Just your data.
Meet Your New DBRE