Your CockroachDB cluster, run by people who know it
A distributed database survives node loss on its own. It does not tune its own indexes, evolve its own schema, catch a hot range before it becomes a latency incident, or answer the phone at 3am. Maxima operates CockroachDB estates 24/7 inside your own cloud account, against agreed latency baselines and a named escalation path.
Book a CockroachDB operations reviewCMMI Maturity Level 3 appraised
24/7/365 follow-the-sun SRE from Kraków and Pune
Akamai Cloud Compute Services Partner of the Year
Operating for complex industries since 1993
What Day 2 actually covers
Always-on oversight
24/7 monitoring, alerting, and incident response against your cluster, your ranges, and your slow-query profile. The pager moves to us. Your engineers stop carrying it.
Schema evolution without downtime
Your company aims to leverage AI tools such as agents, chatbots, and virtual assistants to improve customer experience but needs expert guidance to choose the right solutions
Performance work, continuously
Hot range detection and rebalancing, index and primary key review, statement-level tuning against agreed latency baselines, and contention analysis where transaction retries are climbing.
Resilience you can evidence
Backup and disaster recovery design, restore rehearsals rather than restore assumptions, replication and survival goal validation, and certificate and secret rotation before expiry rather than after an outage.
.svg){kind=icon}
Cost governance
A classified inventory of what each database class costs to run and how long it takes to manage, reviewed monthly. This is the line item that stops savings eroding in month six.
AI-augmented, human-controlled
AI agents handle L1 toil with a human in the loop at planning, QA, and production gates. All with the help of 35 specialized management agents.
Effortless operations in three steps
Cluster and workload review
We look at your topology, survival goals, schema, index design, slow-query profile, and current incident history. Output is a prioritized list of what to fix, in order.
Onboarding and automation
We take over monitoring, alerting, incident response, backup verification, and cost controls. Runbooks, escalation paths, and the RACI matrix are agreed before we hold the pager, not after.
Continuous operations
Proactive tuning, schema evolution, patch and version management, and a monthly report that states what changed, what it cost, and what we recommend next.
Case study: three applications off SQL Server, and the estate suite that came with them
Client
A North American insurance-services firm.
Challenge
Three applications running on SQL Server, with the operational logic sitting in procedural code and ETL packages rather than in the application layer. The database was not the only thing that had to move.
Solution
95 tables, 12 views, and 113 stored procedures converted. Roughly 11.6 GB of data, including a partitioned load of tables over 5.2 million rows. 13 to 15 SSIS packages rebuilt as Airflow pipelines. Every conversion decision written to an audit log, which is what made human review of the converted objects tractable rather than open-ended.
Result
The engagement did not end at cutover. It left behind a permanent estate-management suite their operations team runs against today.
Where we fit
A fit if:
Not a fit if:
Latency or contention issues are recurring and nobody owns them end to end
You want individual contractors embedded in your team
You need 24/7 coverage and cannot justify hiring three more database engineers to get it
You are running a single non-critical cluster where downtime has no number attached
The cluster has to stay inside your own account for security or compliance reasons
You want a control plane you do not own to hold your data