When MySQL breaks at 3 a.m.,
you get an engineer, not a queue.

24/7 MySQL incident support with a 15-minute P1 response SLA, a named on-call DBA who already knows your topology, and a written root-cause analysis on every incident. Cloud or on-premises. Zero lock-in.

Talk to a MySQL Expert →

Reviewed on Clutch 4.9 · 6 verified reviews

Active Topology Watch

24×7 Incident support

<15 min P1 response SLA

800+ Clients supported

6.56 TB InnoDB recovered

Certified ISO 27001 ISO 9001 PCI DSS Compliant AWS Advanced Tier Partner MySQL DBAs since 2015

Brands that trust Mydbops

Why teams call us

What we get called about at 2 a.m.

Not a service catalogue: the actual symptoms, in the words you'd type into a search box. Each one is a failure class we own end to end, from live diagnosis to a fix that survives the next restart.

Symptom you're seeing	What's usually happening	Where we start
`ERROR 1040: Too many connections`The app can't reach the database at all	Connection-pool exhaustion, a leaked pool from a deploy, or long-running transactions holding threads. Raising `max_connections` usually makes it worse.	Live thread inventory, `performance_schema` connection attribution, pool-config review. We fix the cause, not the ceiling.
Replica lag climbing and not recovering	Single-threaded apply on a hot table, a large uncommitted transaction on the source, lock contention on the replica, or a mass `DELETE` inflating InnoDB's history list.	Worker utilisation and backlog depth (not just `Seconds_Behind_Source`), applier-thread analysis, parallel-replication tuning.
`Waiting for table metadata lock`DDL hung, queries piling up behind it	An open transaction or hung client holding an MDL. A stalled `ALTER` blocks every subsequent query on that table.	Identify the blocking transaction, kill safely, then re-run the DDL through `pt-online-schema-change` or gh-ost so it can't recur.
InnoDB won't start · tablespace or index corruption · Linux AIO errors	Underlying storage fault, an unclean `kill -9`, or page-level corruption a restart won't resolve. `innodb_force_recovery` is a scalpel, not a switch.	Forensic assessment before any write; recovery path chosen for integrity first. We've recovered 6.56 TB of corrupt InnoDB with zero dropped transactions.
Someone ran a destructive UPDATE or DROP on production	You need point-in-time recovery, and every minute of RPO you lose is business data.	Binlog-position identification, PITR to the second before the statement, integrity verification before cutover.
Sudden CPU or IO spike with no deploy behind it	Plan regression after a statistics change, a new query pattern, backup contention, or a timezone/parameter change nobody logged.	Query-level attribution against the spike window, plan comparison, then a fix that survives the next restart.
Cluster split-brain, quorum loss, flow-control write stalls	InnoDB Cluster / Group Replication misconfiguration, a network partition, or a node that should never have been allowed to rejoin.	Group-state analysis, controlled recovery, then failover testing so the next partition is uneventful.

What's Included

Scope, stated plainly: including where it ends

Everything below runs to the SLA on this page. Publishing the boundary is more persuasive than implying there isn't one, and it pre-empts discovering one mid-incident.

24/7 Incident Response

Severity-based response starting at 15 minutes for P1, under a formal SLA: an on-call MySQL engineer actively working the incident, war rooms included, day or night.

15-min P1 · war rooms · written RCA

Unlimited Troubleshooting

Unlimited operational assistance and deep forensics on the worst-case scenarios standard support won't touch: corruption, crash recovery, accidental DROP.

operational assistance · forensics

Performance Tuning & Query Optimisation

Slow-query triage with plan analysis, index strategy, buffer-pool and connection-pool tuning for consistent latency at scale: the fix that survives the next restart.

plan analysis · index · p99 tuning

Managed Backup & DR

Backup and disaster-recovery strategy with restore testing, because a backup you haven't restored is a hope, not a plan.

restore-tested · RPO/RTO mapped

Security & Compliance Hardening

Authentication, RBAC design, encryption at rest and in transit, and audit logging mapped to ISO 27001, PCI DSS and GDPR requirements.

RBAC · TLS · audit-ready

Upgrades, Automation & RCA Reporting

Version-upgrade planning and execution, automation of archival, scheduled jobs and partition management, plus monthly health reports and a written RCA per incident.

8.0 → 8.4 → 9.7 · monthly reports

Not included Application code changes Schema-design ownership (we review & advise) Infrastructure outside the database layer Non-MySQL engines (separate agreements)

Our Response SLA

Our response SLA, in full

Severity-based commitments under a formal Service Level Agreement: real humans, not a ticket queue. Definitions are agreed with your team during onboarding.

Severity	Definition	Response	Coverage	Channel
P1 · Critical	Production down, or data integrity at risk. No workaround exists.	15 minutes	24×7×365	Phone + Slack + war room
P2 · High	Production severely degraded, or a workaround exists but isn't sustainable.	30 minutes	24×7×365	Slack + ticket
P3 · Medium	Non-production, or a contained issue with a stable workaround.	60 minutes	Business hours	Ticket
P4 · Low	Questions, guidance, planned work, configuration review.	90 minutes	Business hours	Ticket

Response means an on-call MySQL engineer is actively working the incident, not an acknowledgement email. Escalation path, named contacts and remedies are set out in the SLA document, available on request.

A 15-minute P1 response is faster than the standard production tier of every major MySQL support vendor.

800+ Clients supported

6.56 TB InnoDB recovered

200K+ TPS handled (IPL peak)

<15 min P1 response SLA

Wherever MySQL Runs

Cloud, on-premises, or open-source distributions: covered

Deep operational expertise across every place MySQL lives, from a single node to sharded, highly-available clusters.

AWS RDS · Aurora

Managed cloud, expert eyes

The cloud runs the infrastructure. We provide the escalation depth and tuning the base tiers don't include.

Cost and performance optimisation on RDS & Aurora MySQL

Instance right-sizing, ProxySQL, read-scaling

Multi-AZ, failover and backup governance

On-Premises · Self-Hosted

Your infrastructure, our runbooks

Community & Enterprise editions, legacy versions to the latest LTS series.

Replication and InnoDB Cluster operations

Upgrades, patching & DR drills

On-prem, EC2 and hybrid topologies

Percona · MariaDB

Open-source depth, zero lock-in

Enterprise-grade features without enterprise licensing.

Percona Server & XtraDB Cluster support

MariaDB deployments and migrations

Distribution-migration guidance when it fits

Version & lifecycle pressure

Still on MySQL 8.0? The clock has already run out.

Oracle's Extended Support for community MySQL 8.0 ended in April 2026, and 8.4 is a mandatory stepping stone — Oracle doesn't support skipping an LTS series. We plan and execute the 8.0 → 8.4 → 9.7 path with the cutover rehearsed on a clone first. On RDS, expect a sub-minute cutover — a major-version RDS upgrade is never genuinely zero-downtime, and any vendor telling you otherwise hasn't done one.

Apr 2026Oracle Extended Support for community MySQL 8.0 ended.

Apr 2026MySQL 9.7 LTS shipped — the target for new deployments.

31 Jul 2026AWS RDS ended standard support for MySQL 8.0 (RDS only — not Aurora, Cloud SQL or Azure).

Incident Response

What happens in the first fifteen minutes

0–2
min

The page lands

Straight to your on-call engineer

Your page reaches the on-call MySQL engineer for your account, not a tier-1 queue, not a triager.

2–5
min

On your systems

Inside the cluster, no credential scramble

Engineer is on your systems through the dedicated jump host, with VPN/SSH access already provisioned and tested during onboarding, so nobody is chasing credentials mid-incident.

5–10
min

War room open

Running commentary, not silence

A war room opens on your Slack channel and a Meet/Zoom bridge. Your team gets a live commentary of what we're seeing and doing.

10–15
min

First assessment

What's broken, in writing

First assessment posted in writing: what is broken, what we're doing about it, what we need from you, and the containment option if the fix will take longer.

After

Root-cause analysis

A written RCA, not a ticket summary

The failure mechanism, the timeline, the fix, and the change that prevents recurrence. Every critical incident, documented.

The People On Your Bridge

Numbers a buyer can ask us to prove

When a P1 hits, a named on-call engineer who already knows your topology is on the bridge, backed by a senior MySQL bench, not a rotating outsourced pool.

27 MySQL engineers on the bench

11 With 10+ years on MySQL

2015 Supporting MySQL since

6.56 TB Largest InnoDB recovery, full integrity

Oracle MySQL certifications and Percona Live talks delivered available on request, with named bios once individual consent is confirmed.

Proven Outcomes

Incidents we've already survived

Published Mydbops case studies: direct MySQL engagements, not borrowed proof from other databases.

Telecom · InnoDB · Recovery

6.56 TB of corrupt InnoDB, recovered

6.56 TB

Recovered at full integrity · zero dropped transactions · 1200× load reduction

A platform carrying 50M+ daily SIP/CDR messages and 10M+ concurrent sessions hit catastrophic InnoDB engine corruption. We recovered all of it, then neutralised the runaway recovery processes.

"When we faced a MySQL corruption issue, Mydbops responded promptly and demonstrated exceptional commitment, working during odd hours. The database was fully recovered."Ashish Pandya, Associate Manager, Service DevOps, Ecosmob

Read full case study →

Gaming · Aurora MySQL · Scale

An entire IPL season at 200,000 TPS, zero unplanned incidents

200K TPS

1.5M requests/minute · zero unplanned database incidents all season

Dream11's Aurora MySQL was crashing at 6,000 QPS. We took it to 200,000 TPS and 1.5M requests/minute, with a 24×7×365 pod through the whole tournament.

"Their attitude toward owning the client's problems and treating them as their own is absolutely mind-blowing."Abhishek Ravi, CIO, Dream11

Read full case study →

E-commerce · RDS MySQL

Crashes stopped, throughput tripled

100% → 20%

Peak CPU · 7,000 → 20,000 QPS · zero crashes afterward

Kirana11's RDS MySQL was crashing under peak load at 100% CPU. Engaged under emergency support, we tripled sustainable throughput and stopped the crashes.

Read full case study →

Fintech · RDS Multi-AZ

FinTech Scale

99.999% availability with automatic failover

99.999%

Availability for 10M+ daily transactions · 80% less manual intervention during failovers

A fintech running 10M+ daily transactions needed failovers to stop being a manual fire drill. Multi-AZ with ProxySQL made them uneventful.

Read full case study →

Distribution · InnoDB Cluster

UBQ Technologies

15× scale-up with zero data loss

15×

Distributor scale-up on InnoDB Cluster + ProxySQL · zero data loss

"Two teams work together as a single unit and resolve issues promptly, anytime in the day or night."Dr. Anjan Basu, Director/COO, UBQ Technologies

Read full case study →

Troubleshooting

In Their Words

Teams that stopped worrying about the database

“

Working around the clock, we need help 24 hours a day, seven days a week. Mydbops efficiently provided this at all times.

Sunil Kumar CTO, Shiprocket

“

Instrumental in enhancing the stability and disaster recovery of our critical services, supporting over 100,000 customers across Spain and Europe.

Teresa Product Owner, Hosting & Email, CDMON

“

We're retaining this team for ongoing 24/7 server monitoring and support.

Anthony Peck Co-Founder & CTO, Astoria

“

A reliable DBA partner for our production database.

Henry Suryawirawan VP of Engineering, Flip

“

Their attitude toward owning the client's problems and treating them as their own is absolutely mind-blowing.

Abhishek Ravi CIO, Dream11

“

Two teams work together as a single unit and resolve issues promptly, anytime in the day or night.

Dr. Anjan Basu Director/COO, UBQ Technologies

How We Engage

Set up so the engineer is already inside at 3 a.m.

Dedicated jump host with VPN/SSH access

Provisioned and tested during onboarding — so at 3 a.m. the engineer is already inside, not waiting on your security team. No competitor states this.

Named on-call engineer Shared Slack / Google Chat channel Professional ticketing & audit trail War rooms on Meet / Zoom for P1 Dedicated CSM Monthly health & security reports

Onboarding, stated as a commitment: read-only audit first, monitoring agents deployed, channels established. No change is made to production without a written plan and your team's approval.

Common Questions

MySQL support, answered

Our support is governed by a formal Service Level Agreement. Our guaranteed response time for P1 (critical) incidents is 15 minutes, 24×7×365 — meaning an on-call MySQL engineer is actively working the incident, not that a ticket has been acknowledged. P2 is 90 minutes, P3 is 24 hours and P4 is 48 hours. Escalation path, named contacts and remedies are set out in the SLA document, available on request.

We take ownership of the extreme, worst-case scenarios that standard support won't touch: deep forensics on data and index corruption, and catastrophic recovery from events like an accidental DROP DATABASE. We have recovered 6.56 TB of corrupt InnoDB data at full integrity with zero dropped transactions.

Connection exhaustion (ERROR 1040: Too many connections), replication and replica lag that won't recover, metadata locks blocking DDL, InnoDB tablespace and index corruption, crash recovery, point-in-time recovery after destructive statements, CPU and IO spikes with no deploy behind them, cluster split-brain and quorum loss, slow queries and plan regressions, and security incident response.

You have direct communication with our engineers through a shared Slack or Google Chat channel and by phone. A professional ticketing system tracks every issue for the audit trail, but you're never filing into a queue and hoping. For P1 incidents we open a war room on Meet or Zoom.

Fundamentally proactive. We monitor your MySQL environment 24/7 through an observability platform to identify performance anomalies before they cause business disruption, and we deliver monthly health-check and security reports. Reactive incident response is the backstop, not the product.

We begin with a read-only audit of your MySQL environment to understand your architecture, then securely deploy monitoring agents and establish communication channels, including a dedicated jump host with VPN/SSH access tested before you need it. No change is made to your production environment without a formal plan and your team's approval.

A vendor's support team fixes their platform; our team takes ownership of your performance. When an issue strikes you have a named on-call engineer who already knows your topology and is contractually committed to be actively solving the problem within 15 minutes.

24/7 proactive monitoring and incident response, unlimited troubleshooting and operational assistance, ongoing performance tuning and query optimisation, database security and compliance hardening, managed backup and disaster-recovery strategy with restore testing, automation of archival, scheduled jobs and partition management, version-upgrade planning and execution, and a written root-cause analysis on every incident. Application code changes and infrastructure outside the database layer are out of scope.

As an extension of it. We work directly with your developers and administrators in shared channels as the specialised MySQL engineers they can rely on, which frees your team to build application features while we own database performance and reliability.

Let's Talk

Talk to a MySQL engineer, not a salesperson

Tell us about your clusters and where it hurts. We'll map your severity profile to a support model with a published SLA — and be ready before the next incident.

Talk to a MySQL Expert →

1Share your MySQL environment & pain points

2Scoping call with a senior DBA

3SLA agreed & 24/7 cover live in days

15-minute P1 response SLA · written RCA on every incident · ISO 27001 & PCI DSS compliant · 800+ clients

When MySQL breaks at 3 a.m.,you get an engineer, not a queue.

What we get called about at 2 a.m.

Scope, stated plainly: including where it ends

24/7 Incident Response

Unlimited Troubleshooting

Performance Tuning & Query Optimisation

Managed Backup & DR

Security & Compliance Hardening

Upgrades, Automation & RCA Reporting

Our response SLA, in full

Cloud, on-premises, or open-source distributions: covered

Managed cloud, expert eyes

Your infrastructure, our runbooks

Open-source depth, zero lock-in

Still on MySQL 8.0? The clock has already run out.

What happens in the first fifteen minutes

Straight to your on-call engineer

Inside the cluster, no credential scramble

Running commentary, not silence

What's broken, in writing

A written RCA, not a ticket summary

Numbers a buyer can ask us to prove

Incidents we've already survived

6.56 TB of corrupt InnoDB, recovered

An entire IPL season at 200,000 TPS, zero unplanned incidents

Crashes stopped, throughput tripled

99.999% availability with automatic failover

15× scale-up with zero data loss

Diagnosing replication lag with MySQL 9.7 LTS's new metrics

Recovering a MySQL Group Replication cluster after failure

A single replica crash and the outage that followed: an RCA

Teams that stopped worrying about the database

Set up so the engineer is already inside at 3 a.m.

Dedicated jump host with VPN/SSH access

MySQL support, answered

Talk to a MySQL engineer, not a salesperson

When MySQL breaks at 3 a.m.,
you get an engineer, not a queue.