Managed DBAOngoing
Monitoring, maintenance, and incident response under one agreement.
Who owns what is written into the agreement.
- Monitorlag, locks, disk
- Alerton agreed thresholds
- Reviewhealth and capacity
Database reliability engineering
Managed DBA services for production databases.
Database engineers for MySQL, PostgreSQL, MongoDB, and more: monitoring, tuning, backups, upgrades, and incident response, with ownership agreed in writing.
The first 30-minute call covers your databases, current ownership, and required coverage. No production access is needed. Prefer evidence first? Request a free audit of one database instance.
Sample fleet
DEMO
MySQL
8.4 LTS · InnoDB
1.82k
queries/sec
PostgreSQL
16 · streaming repl
18ms
p99 latency
MongoDB
7.0 · 3-node RS
940
ops/sec
Valkey
8 · cluster
99.4%
cache hit rate
SQL Server
2022 · Always On AG
14.2k
instance IOPS
Sample Query Throughput
12.4k QPS[OK] pg_repl: replica synchronized (lag 0ms)
[OK] valkey: 99.4% hit rate, 0 evictions
[INF] mysql: buffer pool resized → 24G
Illustrative dashboard with sample data · not live customer telemetry
- Where the team is
- India
- Time zone IST, UTC+5:30
- Covered business hours
- Mon–Fri 09:00–18:00 IST
- 03:30–12:30 UTC
- Initial-response target
- 2 to 4 hours
- During covered business hours
- Initial-response target for critical (P1) incidents
- 15 minutes
- Where your service agreement includes 24x7 on-call
Our engineering team is in India; business-hours coverage is Mon–Fri 09:00–18:00 IST (UTC+5:30), and 24x7 on-call is available under your service agreement.
Initial-response targets, not resolution guarantees. The target for your engagement is set in your service agreement.
Selected clients
The technology portfolio
Specialists across MySQL, PostgreSQL, MongoDB, Redis, Kafka & your entire data stack.
JusDB is a database reliability and DBA engineering team focused on transactional, analytical, caching, and streaming data platforms. We architect, tune, migrate, and operate the database infrastructure that keeps production applications moving.
MySQLPostgreSQLMongoDBRedis & ValkeyClickHouseElasticsearch & OpenSearchMariaDBSQL ServerCassandra & ScyllaDBTiDB & CockroachDBAmazon Aurora & RDSAll 24 technologies
Deep Engine & Platform Coverage
Built for open-source, commercial, and cloud-managed database estates.
Every engagement is staffed by database reliability engineers who work directly inside engine internals, replication protocols, and proxy layers.
Open-Source RelationalMySQL · Percona · MariaDB
Production MySQL & Percona Server Engineering
InnoDB internals, GTID & semi-synchronous replication, ProxySQL routing, online schema changes with gh-ost and pt-online-schema-change, and rehearsed 5.7 / 8.0 to 8.4 LTS upgrades.
High-Availability PostgresPostgreSQL · Patroni · PgBouncer
PostgreSQL HA, MVCC & Connection Pooling
Automated quorum failover with Patroni, transaction-level PgBouncer pooling, autovacuum and XID wraparound prevention, logical replication, and major version upgrades to PostgreSQL 16 and 17.
Distributed Document & NoSQLMongoDB · Cassandra · ScyllaDB
Replica Set, Sharding & WiredTiger Optimization
Shard-key selection, balancer window tuning, WiredTiger cache-pressure remediation, compaction scheduling, and multi-region replica-set elections under production write load.
In-Memory & Event StreamingRedis · Valkey · Apache Kafka
Low-Latency Caching & Broker Reliability
Redis Sentinel and Cluster slot balancing, open-source Valkey migrations, eviction-policy tuning, and Apache Kafka KRaft controller migrations and consumer-lag stabilization.
Cloud DBaaS & FinOpsAWS RDS · Aurora · Cloud SQL · Azure
Cloud-Managed Database Tuning & Cost Control
We handle the engine layer where cloud provider support stops: slow query digests, parameter groups, IOPS right-sizing, replica scaling, and extended-support exit migrations.
Kubernetes & Proxy ToolingPatroni · ProxySQL · Orchestrator
Routing, Failover Orchestration & K8s Operators
Read/write split routing, connection multiplexing, automated topology healing, and StatefulSet storage tuning across self-managed VMs, bare metal, and Kubernetes clusters.
What JusDB does
Ongoing coverage, a scoped project, or a free audit
Start with whichever fits. The same database engineers deliver all three, under one NDA.
Consulting project
Fix one problem, with a written scope.
A scoped project for one problem or change, with written findings and hands-on implementation.
Projects scoped before work starts
- Tuning
- Upgrades
- High availability
- Migrations
Free audit
A read-only review of one instance.
Request a free audit of one database instance, subject to availability: mutual NDA before read-only access, a prioritized report within one week after access is ready, and no obligation.
What we check on one instance
- Slow queries and indexes
- Replication and backups
What JusDB Does · Four Pillars Under One Agreement
One partner across consulting, 24x7 support under agreement, managed DBA, and version lifecycle.
Use one engagement mode or combine them: they share the same engineering pod, the same runbooks, and the same context on your topology.
01 · Consulting & Engineering ServicesScoped per project
Assess it, build it, move it, tune it.
Engineers run read-only health checks, high-availability implementations, cross-engine migrations, query and index tuning, and runbook handovers alongside your team.
Health checks & auditsHA & replication designEngine & cloud migrationsQuery & lock tuningBackup & PITR drillsCloud FinOps right-sizing
Oracle → PostgreSQLMySQL 5.7 / 8.0 → 8.4 LTSRedis → ValkeySelf-Managed ↔ RDS / Aurora
02 · Production Support & On-Call15-min P1 target
A 24x7 partner under your agreement, not a help desk.
A 15-minute P1 initial-response target where your service agreement includes 24x7 on-call. Choose reactive incident cover or proactive telemetry monitoring that catches drift early.
Two ways to be covered
1. You page us
PagerDuty, Opsgenie, or Slack reaches the on-call rota under your agreement.
2. 15 minutes (P1)
An engineer who knows your topology joins the live bridge to triage and mitigate.
3. Written RCA
Root cause, query/config fix, and prevention steps delivered after every P1.
03 · Managed DBA OperationsOngoing retainer
End-to-end database operations inside your cloud or bare-metal estate.
JusDB operates the database layer under one agreement: monitoring, incident response, minor patching, schema changes, backup restore drills, and capacity planning.
Who runs what
- Monitoring, alerting & 15-min P1 on-call (under agreement)
- JusDB
- Slow-query tuning, indexing & online schema changes
- JusDB
- Backup verification & timed point-in-time restore drills
- JusDB
- Replication topology, ProxySQL / PgBouncer / Patroni
- JusDB + Cloud Provider
- Cloud account, VPC network & underlying compute billing
- Your Team (in your cloud account)
04 · Version Lifecycle & EOL UpgradesRehearsed cutovers
Stabilize legacy versions today and upgrade on your roadmap.
Running an engine near or past upstream end-of-life triggers cloud extended-support surcharges and audit findings. We keep existing clusters stable while rehearsing replica-promoted upgrades to current LTS releases.
MySQL5.7 / 8.0 → 8.4 LTS
Auth plugin, utf8mb4 collation & RDS Extended Support exit
PostgreSQL11 / 12 / 13 → 16 / 17
Logical replication or pg_upgrade --link with minimal cutover
MongoDB4.4 / 5.0 / 6.0 → 7.0 / 8.0
FeatureCompatibilityVersion staged across replica sets
Redis / ValkeyRedis 6.x / 7.2 → Valkey 8.0 / Redis 7.x
Replica-sync switchover without cache cold-start
Mission-critical by design
Built for the production databases that cannot go down.
We work with engineering teams running business-critical transactional, analytical, and real-time data estates. When an unindexed query, lock storm, or untested failover is a financial or customer-trust event, that is the work we are built for.
What the work has to meet
Production-grade operational discipline from day one.
We do not run ad-hoc commands on production primaries. Every diagnostic check, index build, and configuration change follows a documented, auditable workflow.
- Least-privilege access via your bastion, VPN, or scoped IAM roles
- Rehearsed replica-promotion cutovers with verified rollback plans
- Strict change control and customer-approved maintenance windows
- HIPAA-aligned and PCI-aligned operational data handling controls
- Timed backup restore drills and written post-incident reviews
Systems JusDB Keeps Running
Representative production database environments
Payments & Ledgers
Regulated fintech & lending platforms
In productionArchitecture
Multi-Tenant B2B SaaS
High-concurrency subscription software
In productionArchitecture
Checkout & Marketplaces
E-commerce & D2C retail operators
In productionArchitecture
Healthcare & Clinical Data
Health-tech & diagnostics platforms
In productionArchitecture
Quick Commerce & Logistics
Real-time order & fleet routing engines
In productionArchitecture
24x7 partner under agreement, not a help desk
From page to an engineer on your bridge in 15 minutes.
What happens when you page JusDB under a 24x7 on-call service agreement, plus our published initial-response targets across all four severity tiers.
P1 · Critical
15 minutes
24x7 on-call under agreement
Production database down, primary unreachable, data corruption risk, or active failover event.
P2 · High
30 minutes
Initial-response target
Severe latency spike, replication lag climbing rapidly, connection exhaustion, or degraded HA node.
P3 · Medium
60 minutes
Initial-response target
Non-critical slow query regression, staging issue, backup warning, or replication check alert.
P4 · Low
90 minutes
Initial-response target
Configuration question, index advisory, planned schema review, or general operational request.
P1 Escalation PathSLA Target: 15:00 (24x7 under agreement)
A replay of one P1, from the first page to the written root-cause analysis
StageT+15:00Live on Bridge
Active bridge · Inspecting pg_stat_activity / performance_schema & replica lag
Initial-response targets, not resolution guarantees. The target for your engagement is set in your service agreement.
See emergency database supportWhen teams call us
Six signs your databases need a managed DBA service
Pick the one that matches your team. Each is work a managed DBA service can own, and each ends in something your team can keep.
What it usually means
Database work is spread across application and platform engineers, so maintenance waits and incidents land on whoever is awake.
What we do
- Take named ownership of monitoring, maintenance, and planned changes
- Write the escalation path and on-call rota into your service agreement
- Keep a running record of every change we make
You get: One accountable DBA team, and an ownership split agreed in writing.
Managed DBA servicesWhat it usually means
The version you run is near or past end of life, and nobody has time to rehearse the move.
What we do
- Check compatibility: removed features, changed defaults, and drivers
- Rehearse the upgrade on a copy with production-like load
- Cut over through a replica, with a tested rollback
You get: An upgrade plan with go or no-go checks, run with your team.
Database migrationWhat it usually means
Backups run, but nobody has timed a full restore, so recovery time is a guess.
What we do
- Review backup coverage and point-in-time recovery
- Run a restore drill and time it end to end
- Write the recovery steps down as a runbook
You get: A measured recovery time and a restore procedure your team can repeat.
Backup and disaster recoveryWhat it usually means
Bigger instances stopped helping, because the cost sits in query plans, indexes, or configuration.
What we do
- Find the statements that cost the most time, from real workload data
- Fix indexes, rewrite queries, and tune configuration
- Measure latency before and after every change
You get: A ranked list of fixes, each with its evidence and a before-and-after measurement.
Performance optimizationWhat it usually means
Database incidents depend on one engineer who also ships product features.
What we do
- Add JusDB engineers to your escalation path
- Agree initial-response targets for covered hours and, where included, 24x7 on-call
- Write a review after every critical incident
You get: Coverage you can plan around, with the targets written into your service agreement.
Emergency database supportWhat it usually means
Spend grows faster than the workload, usually from oversized instances, idle resources, or inefficient queries.
What we do
- Right-size instances against measured usage
- Remove idle replicas, snapshots, and storage
- Plan reserved capacity once the baseline is stable
You get: A prioritized savings plan, with the changes that carry risk called out.
Cloud database cost optimizationUnder the hood · See the engineering before you sign
Three things JusDB engineers deliver every week across the stack
Keep writes safe through a primary node failure, move end-of-life engines to supported LTS releases, and hand over verified SQL fixes with rollback plans.
Semi-Synchronous / Quorum Topology · 3 Nodes + Router
Simulate a primary failure and watch replica-02 promote with zero lost acknowledged writes.
db-node-1PRIMARY (R/W)
Receiving writes via ProxySQL / PgBouncer · Semi-sync ACK on
db-node-2SEMI-SYNC REPLICA
Relay log synced on every commit · Lag: 0.02s
db-node-3READ REPLICA
Serving reporting & analytical read pool
- Cluster State
- Healthy (3/3)
- Active Writer
- db-node-1
- Acked Commits Lost
- 0
- Errant Transactions
- 0 (fenced)
Why untested failover fails in production
What happens to your writes when a primary fails?
With default asynchronous replication, promoting a lagging replica drops committed transactions, and when the old primary comes back online it introduces errant GTIDs or split-brain writes.
- Semi-sync / Quorum ack: Every acknowledged transaction reaches at least one candidate replica's relay log or WAL before commit returns.
- Automated fencing: Old primaries are fenced with `super_read_only` or Patroni DCS locks so split-brain writes cannot occur.
- Proxy routing: ProxySQL, MySQL Router, or PgBouncer shifts application connections without restarting app pods.
Start with ongoing database operations
Managed DBA services provide the recurring operating relationship. Add database SRE, controlled automation, or a focused cost engagement when your production scope requires it.
24 supported database technologies
Coverage for your engine, version, topology, and hosting is confirmed during discovery. Each one links to its page, and the database coverage directory lists every engine and tool page.
Database engines (19)
Managed cloud services (3)
PostgreSQL extensions (2)
Support for the environments in your production stack
We work across AWS, Google Cloud, Microsoft Azure, on-premises infrastructure, and Kubernetes. Platform and managed-service coverage is confirmed during discovery for your exact services, versions, and architecture.
AWS
Google Cloud
Microsoft Azure- On-premises
Kubernetes
Check your stack
Filter by data layer or search by engine name
Every listed technology is eligible for consulting, migrations, and 24x7 support with a 15-minute P1 response target under your service agreement.
MySQL
Relational & NewSQL
Managed DBA8.4 LTS Upgrades
PostgreSQL
Relational & NewSQL
Managed DBAPatroni HA
MariaDB
Relational & NewSQL
Managed DBAGalera Cluster
Microsoft SQL Server
Relational & NewSQL
Managed DBAAlways On
TiDB
Relational & NewSQL
Distributed SQLHTAP
CockroachDB
Relational & NewSQL
Distributed SQLMulti-Region
YugabyteDB
Relational & NewSQL
Distributed SQLSupport
MongoDB
Document & Wide-Column
Managed DBASharding
Apache Cassandra
Document & Wide-Column
Managed DBAMulti-DC
ScyllaDB
Document & Wide-Column
Low-Latency NoSQLSupport
Amazon DynamoDB
Document & Wide-Column
Single-Table DesignFinOps
Aerospike
Document & Wide-Column
Sub-ms NoSQLHybrid Memory
TimescaleDB
Document & Wide-Column
Time-SeriesHypertables
Redis
Caching & In-Memory
Managed DBAValkey Migration
Valkey
Caching & In-Memory
Managed DBAOpen-Source Cache
Dragonfly
Caching & In-Memory
Multi-Threaded CacheSupport
ClickHouse
Search, Analytical & Vector
Managed DBAColumnar OLAP
StarRocks
Search, Analytical & Vector
Real-Time OLAPLakehouse
Elasticsearch
Search, Analytical & Vector
Managed DBAShard Tuning
OpenSearch
Search, Analytical & Vector
Managed DBASearch & Logs
Apache Pinot
Search, Analytical & Vector
User-Facing OLAPSupport
pgvector
Search, Analytical & Vector
Vector SearchAI Embeddings
Amazon Aurora
Cloud, HA & Pooling Tools
AWS Cloud DBI/O Optimization
Amazon RDS
Cloud, HA & Pooling Tools
AWS Cloud DBMulti-AZ & Upgrades
ProxySQL
Cloud, HA & Pooling Tools
MySQL RoutingRead/Write Split
PgBouncer
Cloud, HA & Pooling Tools
Postgres PoolingHigh Concurrency
Patroni
Cloud, HA & Pooling Tools
Postgres HAConsensus Failover
Industry solutions
Built for how your industry runs.
JusDB brings database reliability patterns to every major vertical and adapts each engagement to that industry's workload shape, audit expectations, and change controls.
Payment processors, digital lending, wealth platforms, and core ledgers
Financial services & Fintech
Payments, lending, and ledger systems where a lost commit, split-brain promotion, or unindexed lock wait is a direct financial or audit event, and every change goes through strict change control.
Typical database use cases
- Synchronous and semi-synchronous replication for zero lost acknowledged ledger writes
- High-throughput payment and wallet state on PostgreSQL, MySQL, Redis, and Kafka
- Online schema changes and partition maintenance without blocking settlement windows
- Timed point-in-time recovery (PITR) drills and audit-ready change histories
What the work has to meet
Low-latency transactionsQuorum HA failoverAudit loggingPCI-aligned & SOC 2-aligned controlsStrict change control
Representative Scenario
Transactional latency & replica-promotion hardening for a lending platform
Regulated digital lending & payments operator
Eliminated checkout lock-wait timeouts and established rehearsed semi-sync failover across AWS multi-AZ clusters.
PostgreSQLMySQLRedisAWS RDS
Use case library
Real production scenarios, across the data stack.
Browse representative JusDB engineering engagements by database technology and problem class: what broke, what our engineers changed, and the runbooks left behind.
Showing 9 of 9 production scenarios
MySQL · RemediationE-Commerce Marketplace
MySQL Replication Lag Remediation During Batch Windows
Resolving replica lag that grew to hours during nightly settlement batches because single-threaded apply could not keep pace with wide multi-row transactions.
MySQLProxySQLPrometheusLinux
Read production use caseMySQL · SupportTravel Booking Platform
MySQL InnoDB Lock Contention & History-List Stabilization
Ongoing support for deadlocks and lock-wait timeouts under booking concurrency, isolating long-running reporting transactions that drove undo history list growth.
MySQLProxySQLKubernetesPercona Toolkit
Read production use caseMySQL · Managed ServicesSubscription Software Company
Managed MySQL 8.0 to 8.4 LTS Upgrade in the Customer's AWS Account
Taking over operations of self-managed MySQL 8.0 servers in the customer's AWS account, auditing authentication plugins, and executing a rehearsed replica promotion to 8.4 LTS.
MySQL 8.4 LTSAmazon EC2GTID Replication
Read production use casePostgreSQL · ConsultingTelecommunications Operator
PostgreSQL High Availability, Patroni Quorum & Failover Design
Designing an automated failover architecture with etcd quorum leader election, synchronous replication policy, PgBouncer transaction pooling, and timed recovery runbooks.
PostgreSQLPatroniPgBouncerKubernetes
Read production use casePostgreSQL · TuningMulti-Tenant B2B SaaS
PostgreSQL Autovacuum & XID Wraparound Prevention at Scale
Eliminating periodic p95 latency spikes and transaction-ID wraparound alerts by tuning per-table autovacuum cost limits, partitioning hot audit tables, and adding partial indexes.
PostgreSQL 16PgBouncerAWS RDSpg_stat_statements
Read production use caseMongoDB · RemediationGlobal Payments Processor
MongoDB WiredTiger Cache Eviction & Working-Set Remediation
Resolving application stalls caused by an unindexed working set that outgrew the WiredTiger cache and pushed primary nodes into continuous dirty-page eviction pressure.
MongoDBKubernetesPrometheusWiredTiger
Read production use caseRedis & Kafka · SupportReal-Time Collaboration SaaS
Clearing a Redis Memory Ceiling via Staggered Replica Rotation
Diagnosing key-expiration and fragmentation growth across a production Redis cluster and executing staggered replica promotions without a maintenance outage.
RedisSentinelValkeyContainers
Read production use caseRedis & Kafka · SupportBanking Transaction Platform
Recovering Apache Kafka Transaction Throughput & Consumer Lag
Restoring producer throughput and clearing consumer-group rebalances by tuning partition counts, batch linger settings, and KRaft controller quorum parameters.
Apache KafkaKRaftPrometheusJVM
Read production use caseSearch & FinOps · AssessmentEnterprise Analytics Platform
OpenSearch Shard Architecture & Cloud Database Cost Right-Sizing
Remediating an oversharded OpenSearch cluster where cluster-state tasks caused master instability, paired with RDS/Aurora IOPS and replica right-sizing prior to commitment renewal.
OpenSearchElasticsearchAWS AuroraTerraform
Read production use caseClient feedback on migration, architecture, performance, and ongoing support
What teams say about working with JusDB. Every quote is published with the client’s written approval.
“As a result, we have seen a significant shift toward a more stable, predictable, and scalable environment aligned with our growth objectives.”
Read full quoteShow less from JK
Our engagement with the JusDB team has been highly impactful, marked by a clear, structured approach to addressing critical challenges in database performance, scalability, and data reliability. They demonstrated strong technical expertise and a deep understanding of underlying system complexities, focusing not just on immediate fixes but on long-term structural improvements.
As a result, we have seen a significant shift toward a more stable, predictable, and scalable environment aligned with our growth objectives. Their professionalism, proactive communication, and collaborative approach made the entire engagement seamless.
We value the partnership and would confidently recommend them to any organization looking to strengthen their data infrastructure and overall system performance.
JK
Head of Products, Recochain Private Limited
- Performance
- Scalability
- Data reliability
“They planned the cutover carefully, kept downtime to a minimum, and sized the Azure environment for both performance and cost.”
Read full quoteShow less from Rajgopal
Improvize IT has had a very good experience working with JusDB. Their team migrated our on-premises database estate to Microsoft Azure and has continued to support the environment since go-live.
They planned the cutover carefully, kept downtime to a minimum, and sized the Azure environment for both performance and cost. They understood our workloads quickly, and their responsiveness after go-live has been just as consistent.
We truly value JusDB’s contribution and are glad to recommend them for cloud migration, database engineering and managed support services.
Rajgopal
Director, Improvize IT
- Cloud migration
- Database engineering
- Managed support
“Their team built our database infrastructure from scratch and gave us a solid, well-architected foundation for our production workloads.”
Read full quoteShow less from Martin Harrison
Linuxoft has had a very good experience working with JusDB. Their team built our database infrastructure from scratch and gave us a solid, well-architected foundation for our production workloads.
They designed the architecture around our requirements, built in reliability and room to grow from the start, and handed over an environment our team can run with confidence. Their depth of expertise and responsiveness stood out throughout the engagement.
We truly value JusDB’s contribution and are glad to recommend them for database architecture and engineering.
Martin Harrison
Lead Architect, Linuxoft
- Database architecture
- Database engineering
“They took the time to understand our workloads, made the right architecture choices early, and set up the data layer so it can grow without re-engineering.”
Read full quoteShow less from Sunith Samuel
Nexora has had a very good experience working with JusDB. Their team designed and built our database platform from the ground up, with our scaling requirements in mind from day one.
They took the time to understand our workloads, made the right architecture choices early, and set up the data layer so it can grow without re-engineering. Their depth of expertise and responsiveness made them feel like an extension of our own team.
We truly value JusDB’s contribution and are glad to recommend them for database architecture and engineering at scale.
Sunith Samuel
Co-Founder, Nexora
- Database architecture
- Engineering at scale
“They understood our requirements clearly, supported us with the right solutions, and helped us optimize our database in a very short time.”
Read full quoteShow less from Piyush Beli
WeCredit had a great experience working with JusDB. Their team helped us a lot in improving our database performance and making our systems faster and more stable.
They understood our requirements clearly, supported us with the right solutions, and helped us optimize our database in a very short time. Their expertise and quick support made a strong positive impact on our operations.
We truly appreciate JusDB’s contribution and highly recommend them for database optimization and performance improvement services.
Piyush Beli
CTO, WeCredit
- Database optimization
- Performance improvement
Why one partner
Know who owns the database work
Your proposal defines the databases, included work, engineering hours, coverage, and exclusions. The service agreement records who is responsible for what.
Why one partner · One call instead of five
Five vendor queues vs. one team across your entire data stack.
A typical production application runs a relational primary, an in-memory cache, an event stream, and a search or analytical store. Comparing fragmented single-engine support with one unified DBA reliability team:
A vendor per component
Five contracts, five queues.
- Separate support contracts, renewals, and procurement cycles per database engine
- Cross-component incidents bounce between cloud support, cache vendors, and DBAs
- End-of-life versions hit sudden cloud extended-support surcharges without an upgrade plan
- Tier-1 ticket queues and script readers before you reach a database specialist
- Cloud provider support stops at the instance hypervisor; query and lock bugs stay with you
JusDB Unified Reliability Pod
One team for the whole data stack.
- One service agreement across Managed DBA, consulting, migrations, and 24x7 on-call
- Engineers who see how your relational primaries, Redis caches, Kafka queues, and search clusters interact
- Rehearsed replica-promotion upgrades planned around your release calendar
- Direct escalation to a database reliability engineer within 15 minutes for P1 under your 24x7 agreement
- Full ownership of slow queries, indexing, lock contention, online DDL, and backup restore drills
Your team keeps control
- Set business priorities, application requirements, and release plans
- Approve production changes, except routine actions you have pre-approved
- Own your cloud accounts, access policies, and vendor relationships
- Decide when maintenance can happen and how quickly service must recover
- Move the work in-house or to another provider after your agreement's notice period, with your data returned or deleted and the transition help your agreement sets out (Terms, section 8)
JusDB handles the agreed database work
- Monitor database health, investigate alerts, and involve the right people
- Review query performance, replication, capacity, and backup health
- Carry out approved changes and update the operating instructions they affect
- Report completed work, open risks, and recommended next steps
Database support that fits your existing team
Platform teams
Your engineers run the application and infrastructure. Database maintenance and incidents need a dedicated owner.
In-house DBAs
Your DBA keeps the context. Add capacity for planned work, specialist reviews, and agreed on-call coverage.
Growing products
New workloads bring performance, recovery, and capacity questions. Build database operations into your growth plans.
Coverage & engineering pod
Named database specialists on every account, wherever you run.
Delivered from our Bengaluru, India engineering center supporting production estates across North America, Europe, the Middle East, India, and Asia-Pacific, with 24x7 on-call coverage available under your service agreement.
Engineering Center
Bengaluru, India
Direct Slack, Microsoft Teams, and PagerDuty integration with your engineering pod.
Covered Business Hours
Mon–Fri 09:00–18:00
IST (03:30–12:30 UTC) · 2 to 4 hours initial-response target.
On-Call Rota (24x7 under agreement)
15 minutes (P1)
Where your service agreement includes 24x7 on-call, including weekends and holidays.
Regions Supported
Americas · EMEA · APAC
Maintenance windows and upgrade cutovers scheduled to your local off-peak hours.
Specialists on every ticket · Zero cold-start
The engineering roles assigned to your database estate
Every account is documented in shared runbooks so the engineer answering your page already knows your schema, replication layout, and change constraints.
Principal Database Architect
Topology design, cross-engine migration strategy, capacity modeling, and quarterly architecture reviews.
MySQL & Percona Reliability Lead
InnoDB tuning, GTID & semi-sync replication, ProxySQL routing, gh-ost online DDL, and 8.4 LTS upgrades.
PostgreSQL & Patroni HA Specialist
MVCC & autovacuum tuning, PgBouncer pooling, Patroni consensus failover, and pg_upgrade cutovers.
MongoDB & Distributed NoSQL Engineer
WiredTiger cache tuning, shard-key design, Cassandra/ScyllaDB compaction, and multi-DC replication.
In-Memory & Streaming Specialist
Redis Sentinel/Cluster, Valkey migrations, Apache Kafka KRaft operations, and consumer-lag remediation.
Cloud Database FinOps & SRE Lead
AWS RDS/Aurora, Cloud SQL, and Azure right-sizing, Terraform automation, and timed PITR restore drills.
How an engagement starts
From the scoping call to shared recovery procedures
Step through it, or let it play.
Interactive demo · Sample data
See how JusDB Autopilot surfaces database risks and recommended changes.
This walkthrough uses sample telemetry to demonstrate detection, diagnosis, and recommendations. Production actions follow your agreed access, approval, and pre-authorized automation controls.
Interactive product demoSample data · Tabs are interactive; action controls are illustrative
demo@example.com
JusDB Autopilot
Interactive product demonstration using sample fleet data
DEMO · SAMPLE DATA
Sample workspace
Autopilot Intelligence
Workload analysis with reviewable, approval-controlled actions
88
Sample Optimization Score
4
Autopilot Enabled
47
Sample Actions
23%
Illustrative Gain
3
Sample Approvals Pending
TOTAL CLUSTERS
5
Sample fleet
ACTIVE NODES
4
AVG QUERY LATENCY
18.3ms
8.3% sample change
TOTAL THROUGHPUT
22,756
queries/sec
Cluster Status Overview
Sample-MySQL
Sample MySQL cluster v8.0.35
Operational
94%
Response Time
12.4ms
Throughput
2,847/s
Uptime
99.9%
Sample-PostgreSQL
Sample analytics PostgreSQL cluster v15.4
Operational
87%
Response Time
8.7ms
Throughput
1,923/s
Uptime
99.8%
Sample-Redis
Sample Redis cache cluster v7.0.12
Operational
96%
Response Time
0.8ms
Throughput
15,847/s
Uptime
99.9%
Sample-MongoDB
Sample MongoDB document cluster v6.0.8
Warning
73%
Response Time
24.3ms
Throughput
1,247/s
Uptime
99.2%
Sample-Elasticsearch
Sample Elasticsearch cluster v8.9.2
Operational
91%
Response Time
45.2ms
Throughput
892/s
Uptime
99.7%
Recent Autopilot Activity
Pre-approved query optimization applied
Sample-MySQL
minutes
Pre-approved connection-pool change applied
Sample-PostgreSQL
minutes
Index optimization scheduled
Sample-MongoDB
See how Autopilot fits your workflow
Review the product walkthrough, then discuss integrations, permissions, and approval gates for your environment. Recommendations and pre-approved automation support engineering decisions; they do not bypass production change control.
Sample telemetry
The dashboard below uses illustrative metrics, events, and recommendations; it is not connected to a production database.
Human-governed
Engineers review recommendations; any automated production action must be explicitly pre-approved within defined risk and rollback controls.
Approval-controlled
Execution follows the permissions, change process, and approval gates agreed for your environment.
Guides, optimizers & comparisons
Go deeper on your database architecture.
Interactive configuration calculators, side-by-side engine and DBA operating-model comparisons, and production runbooks written by JusDB engineers.
Interactive Calculator
Open resourceMySQL Configuration Calculator (my.cnf)
Size innodb_buffer_pool_size, redo log capacity, and replication durability for your RAM and workload.
Interactive Calculator
Open resourcePostgreSQL Config Optimizer (postgresql.conf)
Compute shared_buffers, work_mem, effective_cache_size, WAL, and autovacuum thresholds.
Routing & Pooling
Open resourceProxySQL, PgBouncer & Patroni Guides
Reference architectures for connection multiplexing, read/write split, and consensus HA failover.
Engineering Blog
Open resourceDatabase Reliability & Upgrade Runbooks
Deep dives on MySQL 8.4 LTS upgrades, Postgres MVCC bloat, and production incident post-mortems.
Architecture & Vendor Comparisons
- PostgreSQL vs MySQL: Architecture & Workload Guide
- MySQL vs MariaDB: Replication, Thread Pools & Licensing
- Amazon Aurora vs RDS: Storage Layer, Failover & I/O Cost
- Redis vs Valkey: Open-Source Fork & Migration Path
- Elasticsearch vs OpenSearch: Fork Divergence & Operations
- Oracle to PostgreSQL vs MySQL Migration Trade-Offs
- JusDB vs Mydbops: Operating Model & SLA Comparison
- JusDB vs Percona: Managed DBA & Support Comparison
Book an intro call or request a review
Talk to an engineer before the next incident, not during it.
Bring your database engines, your versions, and the operational risk you are worried about. A database reliability engineer will walk through what coverage looks like across your stack.
- An engineer on the call, not a sales queue
- Your whole data stack, not a single-engine silo
- No production access needed for the first call
30-minute technical scoping call
Pick a slot on our engineering calendar. We review your current versions, replication topology, pain points, and whether ongoing Managed DBA or a scoped project fits best.
Frequently asked questions about JusDB operations
How our managed DBA and database reliability engineering services work with your engineering team.
What is JusDB and how does its managed database service work?
JusDB provides ongoing managed DBA and database reliability engineering services alongside your engineering team. The agreed scope can cover monitoring, query performance, backups, upgrades, capacity, and incident support. Your service agreement defines the work, human coverage, initial-response targets, and approvals; your team keeps business priorities and production control.
What initial-response targets and coverage hours does JusDB offer?
JusDB publishes two initial-response targets: 2 to 4 hours during covered business hours, and 15 minutes for critical (P1) incidents where your service agreement includes 24x7 on-call. Our engineering team is in India; business-hours coverage is Mon–Fri 09:00–18:00 IST (UTC+5:30), and 24x7 on-call is available under your service agreement. In UTC, covered business hours are 03:30–12:30 UTC. These are initial-response targets, not resolution guarantees. Covered severities, exclusions, and final commitments are set in the service agreement. Automated monitoring does not by itself include continuous human coverage.
How does JusDB bill for managed DBA work?
JusDB publishes no price list. Ongoing work is billed as a monthly retainer for a set number of engineering hours, or a monthly fee per database instance, HA cluster, or region; projects are scoped and quoted separately. Scope and fees are confirmed in a written proposal after a scoping call.
How does JusDB securely connect to our production databases?
JusDB agrees the access route, named identities, permissions, approvals, logging, and revocation process with your team before onboarding. Our engineers use named accounts with only the permissions the agreed work needs, and diagnostic data is limited to what that work requires. Available controls depend on your environment and policies, and production writes and emergency access follow approval rules you set. No production access is needed for the first scoping call.
Which databases and platforms does JusDB support?
JusDB supports 24 database technologies: 19 database engines (PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB, Redis, Valkey, Dragonfly, Cassandra, ScyllaDB, Aerospike, ClickHouse, StarRocks, Apache Pinot, TiDB, CockroachDB, YugabyteDB, Elasticsearch, and OpenSearch), 3 managed cloud services (Amazon Aurora, Amazon RDS, and DynamoDB), and 2 PostgreSQL extensions (TimescaleDB and pgvector). It works on AWS, Google Cloud, Microsoft Azure, on-premises infrastructure, and Kubernetes. Coverage is confirmed for your engine, version, hosting platform, topology, and required work on the scoping call, and migrations or architecture changes can be scoped as projects alongside ongoing operations.
What happens if we end the engagement?
Either party can end a JusDB engagement for convenience by giving the notice period set in your service agreement. When an engagement ends, JusDB returns or deletes your data, revokes its access, issues a final invoice for services and expenses up to the end date, and provides reasonable transition assistance as agreed in your service agreement. The full terms are in section 8 of the JusDB Terms.
Scope the database work your team needs covered
In 30 minutes, we review your databases, current ownership, recurring workload, and coverage gaps. You leave with a concrete next step for scoping ongoing database operations.