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Database Support · 10 Engines, One SLA

Database Support Services — 24/7, 15-Min SLA

Executive Direct Answer · Database Support SLA & Scope

Database support services provide 24/7 enterprise production incident response, proactive maintenance, and reliability engineering across multi-engine database tiers. JusDB supports 10 engines—including MySQL, PostgreSQL, MongoDB, Redis, and Cassandra—under a unified contract featuring a guaranteed 15-minute Sev-1 SLA, named Principal DREs, zero L1 callback queues, and SOC 2-aligned operational governance.

Sev-1 SLA: 15-Minute Guaranteed·Escalation: Direct Named Principal DRE·Coverage: 10 Engines, One Contract·Model: Zero L1 Callback Queue

Production database support across MySQL, PostgreSQL, MongoDB, Cassandra, MariaDB, SQL Server, Aerospike, TiDB, Redis, and Valkey — one contract, one on-call rotation, one SLA. Senior database engineers answer your Sev-1 in 15 minutes. No L1 callback queue, no escalation gates.

Vendor support failing you — sound familiar?

  • Sev-1 ticket open 6 hours — Oracle MySQL Enterprise paid support has the engineer asking for a config file and going silent. Production is still down, you don't know if anyone's actually working it.
  • L1 cycling through checklists — "have you restarted", "send us the logs", "is the disk full" — 90 minutes burned before anyone competent looks at the problem.
  • Cross-engine incidents — your platform is MySQL + Redis + Kafka CDC, and you have three separate vendor contracts that all point at each other when something breaks.

JusDB database support: 15-minute Sev-1 first response, named senior engineer, no L1 queue, 10 engines under one SLA. Book a support scoping call →

SLA

Three severity tiers, response in minutes

Severity is classified at incident open, not at vendor convenience. Sev-1 first response is contractually 15 minutes — credits apply if we miss it.

Sev-1

Production down

Response: 15 minutes

Cluster-wide outage, primary failure with no auto-failover, data loss in progress, all reads/writes blocked.

Sev-2

Degraded production

Response: 1 hour

Replication lag past SLO threshold, single-node failure with cluster still serving, p99 latency spike, partial query timeouts.

Sev-3

Advisory / planned work

Response: 4 hours (business hours) / next business day (off-hours)

Pre-deploy review, configuration changes, upgrade planning, capacity sizing questions, schema design feedback.

Engagement Models

Three ways to engage

Pick the shape that fits your platform's incident profile and team structure.

Per-Incident

Pay only when you call. Best for stable production with occasional issues. Block of hours purchased upfront; we draw down per incident with no monthly commitment.

Monthly Retainer

Unlimited incidents, scheduled monitoring reviews, proactive maintenance, and on-call coverage at fixed monthly cost. Typical fit for 3+ production databases.

Dedicated Engineer

Named senior DBA assigned to your account, embedded in your Slack / Teams. Best for high-availability platforms where context-switching cost is the bottleneck.

What's Included

Every engagement covers

24/7 on-call rotation with named senior engineers
15-min Sev-1 / 1-hr Sev-2 / 4-hr Sev-3 contractual SLAs
Direct Slack / Teams war-room for active incidents
Proactive monitoring integration (Datadog, PMM, Grafana, CloudWatch)
Monthly health-check reports + capacity forecasting
Runbook authoring + incident-response playbooks
Patch & version-upgrade planning + execution support
Postmortem facilitation with blameless template
Vendor escalation handling (AWS, Atlas, EDB, Oracle, DataStax)
Compliance audit support (PCI-DSS, HIPAA, SOC 2)
Backup verification + recovery drills
Knowledge transfer + team enablement sessions

Production Incident Triage

Sev-1 Database Failure Modes We Intervene Against

When production databases go down, generic cloud support checklists waste critical minutes. Our named Principal DREs intervene within 15 minutes against these catastrophic production failure modes:

P1 Sev-1 Emergency · Cluster Outage

Cascading Connection Lock Spikes & Thread Pool Exhaustion

A sudden surge in unindexed queries or long-running transactions locks row locks and exhausts the maximum database connection pool. New client requests queue up, cascading back to API web servers and taking the entire application offline.

JusDB Sev-1 Intervention:

Our on-call DREs intervene within 15 minutes to isolate blocking PIDs using non-blocking pg_terminate_backend / KILL QUERY scripts, deploy emergency transaction-mode pooling, and throttle rogue queries.

P1 Critical · Multi-Tier Service Interruption

Cross-Engine Polyglot Outages with Vendor Finger-Pointing

A distributed transaction stall between PostgreSQL, Redis cache invalidations, and Kafka CDC pipelines causes data desynchronization. Multiple single-engine vendor support contracts blame each other, prolonging downtime by hours.

JusDB Sev-1 Intervention:

JusDB provides a single, unified on-call rotation covering all 10 engines simultaneously, diagnosing distributed pipeline latency end-to-end without vendor finger-pointing.

P2 High · Data Inconsistency & Stale Reads

Silent Replication Stream Desync & Stale Read Disasters

Replication lag silently grows on read replicas under heavy write spikes. Applications reading from laggy read replicas serve stale or inconsistent user data, triggering billing discrepancies or duplicate order creations.

JusDB Sev-1 Intervention:

We establish real-time heartbeat lag tracking with automated read-traffic shedding, temporarily redirecting critical queries to the primary until replication parity is re-established.

Telemetry Runbooks · Emergency Incident Triage & Lock Isolation

Our on-call DREs execute non-blocking diagnostics to identify blocking transactions and connection spikes without compounding query wait queues:

PostgreSQL: Active Blocker & Lock Contention TreeEmergency Triage
-- Identify root blocking query PID and waiting transactions
SELECT blocked_locks.pid     AS blocked_pid,
       blocked_activity.usename  AS blocked_user,
       blocking_locks.pid    AS blocking_pid,
       blocking_activity.usename AS blocking_user,
       blocked_activity.query    AS blocked_statement,
       blocking_activity.query   AS blocking_statement
FROM pg_catalog.pg_locks blocked_locks
JOIN pg_catalog.pg_stat_activity blocked_activity
  ON blocked_activity.pid = blocked_locks.pid
JOIN pg_catalog.pg_locks blocking_locks
  ON blocking_locks.locktype = blocked_locks.locktype
 AND blocking_locks.database IS NOT DISTINCT FROM blocked_locks.database
 AND blocking_locks.relation IS NOT DISTINCT FROM blocked_locks.relation
 AND blocking_locks.pid != blocked_locks.pid
JOIN pg_catalog.pg_stat_activity blocking_activity
  ON blocking_activity.pid = blocking_locks.pid
WHERE NOT blocked_locks.granted;
MySQL: Active Non-Sleeping Threads & Lock WaitsPerf Schema
-- 1. Inspect non-sleeping threads running > 5 seconds
SELECT id, user, host, db, command, time, state,
       LEFT(info, 100) AS query_snippet
FROM information_schema.processlist
WHERE command != 'Sleep' AND time > 5
ORDER BY time DESC LIMIT 10;

-- 2. Inspect InnoDB lock wait relationships
SELECT r.trx_id waiting_trx, r.trx_mysql_thread_id waiting_thread,
       b.trx_id blocking_trx, b.trx_mysql_thread_id blocking_thread
FROM performance_schema.data_lock_waits w
JOIN performance_schema.data_locks r ON r.engine_lock_id = w.requesting_engine_lock_id
JOIN performance_schema.data_locks b ON b.engine_lock_id = w.blocking_engine_lock_id;

Comparative Matrix · Database Support Engineering

How JusDB Support compares to alternative models.

Vendor callback queues and generic helpdesk triage waste precious time during production downtime. Here is how JusDB compares to vendor enterprise support, generic MSPs, and internal on-call rotations.

Swipe horizontally to compare support models→
Support Dimension
JusDB Database Support
Vendor Enterprise SupportGeneric MSP HelpdeskInternal On-Call Devs
Sev-1 Incident Response SLAContractual 15-minute first response with financial credits; a named Principal DRE immediately joins your war room1 to 2 hour initial acknowledgement targets; often handled by automated ticket routing bots1 to 4 hour response windows with ticket queues handled by generic offshore network helpdesksUnreliable on-call paging; engineers wake up to alert fatigue or miss pages during overnight rotations
Engineer Caliber & No L1 QueueZero L1 gatekeeping. Your first interaction is directly with a senior database reliability engineer who has access to your runbookMulti-tier escalation; 60–90 minutes wasted cycling through junior L1 triage checklists before reaching an engineerGeneralist sysadmins following standard operating procedures without deep database internals knowledgeApplication developers who lack deep database engine forensics, leading to trial-and-error troubleshooting during outages
Multi-Engine Platform ScopeOne unified contract covering 10+ engines (PostgreSQL, MySQL, MongoDB, Redis, Cassandra, SQL Server) under a single SLASingle-engine silo. If your outage involves MySQL + Redis + Kafka, each vendor points fingers at the otherBasic administration across multiple engines without specialized high-availability or query optimization tuningTribal knowledge split across different team members who each only know one database technology
Managed & Hybrid Cloud CoverageSeamless coverage across AWS (RDS/Aurora), GCP (Cloud SQL), Azure, MongoDB Atlas, Kubernetes, and bare-metalStrictly limited to the vendor's proprietary cloud service; on-prem or multi-cloud topologies are unsupportedRigid hosting templates with little flexibility for modern cloud-native or Kubernetes database operatorsStruggles to balance differing operational semantics across cloud-managed and self-hosted databases
Proactive Health & Capacity ForecastingWeekly telemetry reviews, proactive index bloat / replication lag monitoring, and quarterly capacity forecastingPurely reactive break-fix; vendor support never logs into your cluster unless you open an explicit ticketGeneric automated server uptime pings without database query performance or replication lag analysisTeams are too busy shipping product features to conduct regular database maintenance and capacity audits
Blameless Postmortems & RunbooksEngineers facilitate comprehensive postmortems, identify root causes, and author custom runbooks to prevent recurrenceBrief generic root-cause statements that attribute failures to user configuration or cloud platform hiccupsTickets closed with 'service restarted' status without conducting in-depth root cause analysisPostmortems are skipped due to sprint deadlines, leaving identical failure modes to repeat months later

FAQ

Common questions

Stop the callback queue.

Get a database support contract that answers in 15 minutes — across 10 engines, with named senior engineers.