MySQL · Percona · MariaDBMySQL database services for production teams.
JusDB provides MySQL database services for scoped consulting projects, ongoing remote DBA coverage, production support, performance tuning, migrations, and high availability across RDS, Aurora, and self-managed environments. We measure changes against your workload and define availability and response commitments in the service agreement; 24x7 on-call is available under your service agreement.
MySQL and Percona operations from one specialist team, with performance, availability, migration, and DBA support tied to your workload. Query latency is measured against your baseline and availability commitments defined in your agreement.
MySQL 8.4 · InnoDB
Primary + 2 replicas · GTID
1.82k
99.8%
4ms
22%
Query Throughput
12.40k QPS[OK] innodb: buffer pool 99.8% hit, 0 stalls
[INF] repl: GTID in sync, lag 0ms on replica-02
[OK] proxysql: read/write split healthy
[INF] pt-online-schema-change: 64% complete
Example monitoring view showing database activity and engineer actions. Uses sample data, not customer data.
24
Supported database technologies
24x7
On-call coverage, under your service agreement
30 min
P1 initial-response target on 24x7 on-call
2 to 4 h
Initial-response target in covered business hours
Choose the MySQL service your team needs.
Start with the responsibility you need covered. Each engagement has its own scope, deliverables, access requirements, and acceptance criteria.
MySQL consulting services
A defined project for an architecture decision, performance problem, upgrade, or recovery plan, with findings and validation evidence.
Explore the serviceMySQL remote DBA services
Ongoing monitoring, maintenance, backup verification, capacity planning, and database operations under an agreed service scope.
Explore the serviceMySQL support services
Troubleshooting and incident assistance for production MySQL, with coverage, response targets, and escalation agreed before work starts.
Explore the serviceFull-spectrum MySQL engineering
From a 4-second query to a low-downtime cutover: we have seen it, fixed it, and documented the runbook.
Performance Tuning
InnoDB buffer-pool sizing, query and index optimization, and slow-query analysis, with before-and-after latency measurements.
High Availability
InnoDB Cluster, Group Replication, ProxySQL routing, and Orchestrator for automatic failover.
Replication & Scaling
GTID replication, read-replica fan-out, Vitess sharding, and InnoDB Cluster for horizontal scale.
Percona Expertise
Percona Server, XtraDB Cluster, XtraBackup, PMM observability, and the Percona Toolkit.
Migration & Cloud
Oracle/SQL Server → MySQL, plus RDS, Aurora, and Cloud SQL migrations with low-downtime cutover.
Security & Compliance
TLS, at-rest encryption, audit logging, and least-privilege roles, with your controls mapped to SOC 2, HIPAA, and PCI DSS requirements.
From slow to blazing fast
in days, not months
We do not guess. We instrument. Slow-query log, EXPLAIN ANALYZE, pt-query-digest, and Performance Schema drive every change, and query latency is measured against your baseline before and after.
Query Performance
After tuningIllustrative health scores · results depend on the workload
Common slow-query fixes
Illustrative examples of the problem and the fix, not client measurements.
4,200ms
8ms
Full table scan: 8.1M rows
The fix
ALTER TABLE orders ADD INDEX (user_id, status, created_at)
6,800ms
31ms
2,400 round-trips from the ORM
The fix
Rewrote as a single JOIN with eager loading
11,500ms
22ms
innodb_buffer_pool_size = 2G on 64G box
The fix
Resized buffer pool to 48G; hit rate 87% → 99.8%
3/3
Members online
<12s
Failover time (sample)
0ms
Replica lag (sample)
Illustrative cluster view with sample figures, not a service-level commitment.
Always on. Engineered that way.
InnoDB Cluster with Group Replication, ProxySQL routing, and Orchestrator-managed topologies, tested with failover drills against the availability target agreed for each workload.
A P1 page, answered within your agreement's target.
When replica lag or a runaway query brings production down, a named engineer responds, not a ticket queue. Runbook-driven fixes applied online, with a blameless postmortem after.
Replica lag above 60s; read traffic degrading
A named MySQL DBA responds within your agreement's initial-response target
Unindexed batch UPDATE on orders, replayed row by row on the replica
Batch job paused; covering index added online with pt-online-schema-change
Replica caught up and lag back to baseline; post-incident review with the job owner
Pre-migration assessment
Oracle / on-prem → MySQL 8.4 LTS
Sample cutover window: < 10 minutes
Illustrative assessment with sample figures. Each cutover window is planned per migration.
Move to MySQL with minimal downtime
Oracle and SQL Server → MySQL, or self-hosted → RDS/Aurora. We pre-validate schema and charset, load with mydumper or AWS DMS, replicate the binlog to zero lag, and cut over in a short, rehearsed window.
MySQL Internals: Critical Failure Modes
High-throughput MySQL and Percona fleets routinely hit engine bottlenecks that basic cloud graphs cannot diagnose. Here is how our DBRE team isolates and resolves complex production failures:
InnoDB Redo Log Checkpoint Stalls & Write Freezes
When sustained write traffic fills the InnoDB redo log capacity faster than dirty pages can be flushed by page cleaner threads, the engine enters synchronous adaptive flushing mode. All client commits freeze until the log checkpoint catches up.
We size innodb_redo_log_capacity (or innodb_log_file_size) to accommodate 1–2 hours of peak write volume and calibrate innodb_io_capacity_max to match physical NVMe storage IOPS.
Replication Thread Choke & Seconds_Behind_Source Lag
A single-threaded or poorly parallelized replica SQL thread chokes on heavy schema alterations or bulk row updates. Replica lag spikes to hours, causing stale reads on read replicas and preventing safe automated failovers.
We configure multi-threaded replication (replica_parallel_workers > 4, replica_parallel_type = LOGICAL_CLOCK), enforce GTID consistency, and deploy ProxySQL replication lag query diversion.
Metadata Lock (MDL) Queue Cascades during DDL
An ALTER TABLE statement requests an exclusive metadata lock. If a concurrent slow SELECT is running, the ALTER waits, and all subsequent SELECT/INSERT queries queue behind the ALTER, exhausting max_connections within seconds.
We enforce non-blocking online schema changes with gh-ost and pt-online-schema-change, set lock_wait_timeout = 5 on DDL, and use ProxySQL query kill limits.
Our MySQL SREs execute read-only Performance Schema and sys queries to diagnose lock queues and long-running statements without stalling production transactions:
SELECT waiting_trx_id,
waiting_pid,
waiting_query,
blocking_trx_id,
blocking_pid,
blocking_query,
wait_age,
sql_kill_blocking_query
FROM sys.innodb_lock_waits
ORDER BY wait_age DESC
LIMIT 5;SELECT query,
exec_count,
total_latency,
rows_examined_avg,
rows_sent_avg,
tmp_disk_tables
FROM sys.statement_analysis
WHERE rows_examined_avg > 1000
ORDER BY total_latency DESC
LIMIT 5;The full MySQL ecosystem
Oracle MySQL, Percona, and MariaDB, self-hosted or managed on every major cloud.
Specialized MySQL Services
Explore our comprehensive range of MySQL-specific services designed to address your unique database challenges and requirements.
MySQL Consulting
Architecture design, optimization strategies, and best-practice implementation by JusDB MySQL DBAs.
MySQL Performance Tuning
Advanced performance optimization, query tuning, and configuration adjustments for maximum efficiency.
MySQL Migration
Low-downtime migrations with validation and a rollback plan.
MySQL Support
MySQL support with agreed initial-response targets and expert troubleshooting.
MySQL High Availability
Enterprise-grade high availability solutions with automatic failover and disaster recovery.
MySQL Remote DBA
Dedicated MySQL DBA coverage: continuous monitoring and proactive tuning, without a full-time hire.
MySQL on Kubernetes
Percona Operator, Oracle MySQL Operator, and Vitess deployments with HA and rolling upgrades.
InnoDB Cluster
Enterprise MySQL clustering with Group Replication, MySQL Shell, and MySQL Router integration.
NDB Cluster
Carrier-grade in-memory clustering, auto-sharding, and shared-nothing architecture for five-nines availability designs.
MySQL Orchestrator
Replication topology management and automated failover with rehearsed recovery runbooks.
MySQL Router
Oracle's router for InnoDB Cluster: read-write and read-only endpoints, with new connections sent to the new primary after failover.
MySQL on Amazon RDS
RDS parameter groups, Multi-AZ HA, read replicas, automated backups, and cost optimisation.
MySQL on Aurora
Aurora MySQL cluster storage, Global Database, Serverless v2 autoscaling, and migration from RDS.
MySQL on Cloud SQL
Google Cloud SQL for MySQL: regional HA failover, read replicas, IAM auth, and Database Migration Service.
Azure MySQL Flexible Server
Zone-redundant HA, burstable to memory-optimized tiers, read replicas, and Azure DMS migration.
MySQL Security Audit
TDE, authentication hardening, MySQL Audit Plugin, and CIS / PCI-DSS / HIPAA / SOC 2 control mapping.
How JusDB MySQL SRE compares to alternative models.
Running high-throughput MySQL and Percona workloads demands rigorous storage engine tuning, replication topology control, and online DDL safety. Here is how JusDB compares to cloud support tiers, generic remote DBA MSPs, and in-house DevOps.
| Engineering Dimension | JusDB MySQL & Percona SRE | Cloud Providers (RDS/Aurora) | Generic Outsourced MSPs | In-House Generalist Teams |
|---|---|---|---|---|
| Performance Schema & Query Forensics | Deep sys schema analysis, EXPLAIN plan forensics, pt-query-digest profiling, and InnoDB buffer pool hit calibration | High-level CloudWatch and Performance Insights charts with generic query digests and no execution plan rewrites | Basic slow query log inspection with blunt index recommendations that cause write amplification and table bloat | Ad-hoc query sampling; lacks deep understanding of InnoDB clustered index B-tree page splits and lock waits |
| High Availability & Automatic Failover | Enterprise InnoDB Cluster with Group Replication, ProxySQL read/write splitting, and Orchestrator-managed topologies | Multi-AZ failover takes 60–120s with DNS propagation delay and transient application connection dropouts | Basic master-slave replication without automated failover or transparent read/write routing proxies | Manual failover procedures prone to human error, split-brain replication loops, and lost transactions |
| Non-Blocking Schema DDL & Tooling | Online, non-blocking schema modifications via gh-ost and pt-online-schema-change with automated replica throttle protection | Standard ALTER TABLE runs directly on instance, risking long metadata lock (MDL) waits that freeze incoming transactions | Schedules weekend downtime windows and takes production databases offline for table alters and index rebuilds | Unmonitored migrations triggering metadata lock pileups that exhaust max_connections within seconds |
| Incident Response & Escalation | Named MySQL engineers join your incident bridge. Initial-response targets: 2 to 4 hours in covered business hours; 30 minutes for P1 incidents with 24x7 on-call. Targets, not resolution guarantees. | Multi-tiered support queue; 4–8 hour response for general guidance, cannot debug application queries or deadlocks | Off-shore ticket queues with high engineer turnover and repetitive onboarding overhead | Developers on 24/7 on-call rotation struggling to resolve complex replication deadlocks and checkpoint stalls at 2 AM |
| Low-Downtime Major Version Upgrades | Reversible blue/green or replica cutovers for 5.7/8.0 to 8.4 LTS with SQL mode and charset pre-validation in short, rehearsed cutover windows | Managed in-place upgrades that can break on deprecated syntax and require lengthy instance rollbacks | Multi-hour maintenance windows using mysqldump and manual restore scripts with high application risk | Stalled on deprecated or EOL MySQL versions due to fear of breaking legacy queries and procedures |
| Cloud Cost Optimization & Right-Sizing | Systematic InnoDB buffer pool right-sizing, query optimization, and read-replica consolidation, with savings measured against your baseline spend | Cloud provider recommends purchasing larger instances and provisioned IOPS to resolve performance bottlenecks | Ignores cloud hosting architecture and billing parameters, focusing strictly on basic maintenance | Over-provisions CPU and IOPS instances to temporarily mask underlying query and indexing inefficiencies |
Common questions
Do you provide 24/7 MySQL support?
Yes, 24x7 on-call is available under your service agreement; otherwise coverage is business hours. Initial-response targets are 2 to 4 hours during covered business hours, Mon–Fri 09:00–18:00 IST (UTC+5:30). Where your service agreement includes 24x7 on-call, the initial-response target for P1 incidents is 30 minutes. Targets are not resolution guarantees.
Can you help with zero-downtime MySQL upgrades?
We design replica-based or blue/green cutovers with validation and rollback plans to avoid downtime, including major-version jumps onto MySQL 8.4 LTS and legacy/EOL migrations off MySQL 5.7 and 8.0.
What MySQL distributions do you support?
Oracle MySQL, Percona Server, and MariaDB, both self-hosted and managed (Amazon RDS, Aurora, Cloud SQL, and Azure Flexible Server).
How do you tune slow MySQL queries?
We use the slow-query log, EXPLAIN/EXPLAIN ANALYZE, pt-query-digest, and Performance Schema to find the worst offenders, then fix them via indexing, query rewrites, and InnoDB configuration.
Ready to optimize your MySQL database?
Tell us what is slow, fragile, or due to change. The first 30-minute call needs no production access. If you prefer evidence first, request a free audit of one database instance, subject to availability: mutual NDA before read-only access, and a prioritized report within one week after access is ready.
Compare with Other Databases
JusDB operates production fleets across most major engines. If you're weighing alternatives, here are the most common ones our customers compare against.
PostgreSQL
If you're evaluating a move off Oracle or want richer JSON / window-function support than MySQL's stock optimizer offers, PostgreSQL is the usual next stop.
MongoDB
Teams whose schema is outgrowing relational rigidity (deeply nested documents, polymorphic event payloads) typically pair MySQL with MongoDB for the unstructured surface.
SQL Server
Common when an enterprise stack already runs Windows / .NET and the procurement path to SQL Server licenses is easier than a new MySQL deployment.
TiDB
MySQL-wire-compatible with horizontal scalability, the natural escape hatch when a sharded MySQL fleet starts costing more than it earns.