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Testimonials
Nguyen is a champ. He's fast and has great communication. Well done!
They have been great at adjusting and improving as we have worked together.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
Working with MeteorOps was exactly the solution we looked for. We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
They are very knowledgeable in their area of expertise.
We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.
We were impressed with their commitment to the project.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
SQL Server is a relational database management system used to store and query structured data for transactional applications, reporting, and analytics. It is commonly used by application teams, data engineers, and IT operations to support workloads such as ERP/CRM systems, line-of-business services, and data marts where consistent performance and controlled access are required.
SQL Server typically runs on Windows or Linux and is integrated into enterprise operations for backups, patching, monitoring, and change management, with designs that support high availability and disaster recovery. Reference documentation is available at https://learn.microsoft.com/sql/.
- ACID-compliant transactions and optimized query execution
- Role-based security, encryption options, and auditing
- Backup/restore workflows and point-in-time recovery
- High availability and disaster recovery patterns (e.g., Always On)
- Operational tooling for maintenance, monitoring, and configuration
A computer database is an organized collection of data that can be manipulated and accessed through specialized software
The use of databases integration into any software development project out there is crucial, consisting of many useful benefits:
- Databases provide efficient means for searching, sorting and retrieving specific information.
- They help maintaining data integrity and consistency through the use of constraints and data validation.
- Centralized storage allows multiple users to access and update the data simultaneously.
- Data availability is ensured through backup and recovery options.
- Access controls and permission settings can be used to secure the data.
- They facilitate sharing of data among multiple applications and systems, improving interoperability.
- Data integration with other systems is made easier, enhancing data analysis and reporting.
- Automated updating and maintenance improves data accuracy and reduces errors.
- They can handle large amount of data and increasing number of users by scaling.
SQL Server is a relational database management system commonly used for transactional (OLTP) and analytics workloads where strong security controls, predictable operations, and mature high availability patterns are required.
- ACID-compliant transactions with configurable isolation levels to maintain correctness under high concurrency.
- High availability and disaster recovery options including Always On availability groups, failover clustering, log shipping, backups, and point-in-time restore.
- Security capabilities such as Transparent Data Encryption, Always Encrypted, row-level security, dynamic data masking, and detailed auditing for regulated environments.
- Performance troubleshooting tooling including Query Store for plan history and regression detection, plus DMVs for deep diagnostics.
- Indexing and storage features such as columnstore indexes, partitioning, and compression to improve query performance and manage large tables efficiently.
- In-memory options including In-Memory OLTP and optimized tempdb behavior to reduce contention in latency-sensitive systems.
- Operational manageability via SQL Server Management Studio, SQL Server Agent scheduling, and established maintenance patterns for backups and index/statistics care.
- Flexible deployment across on-premises, VMs, containers, and managed cloud services while keeping consistent engine behavior and tooling.
- Enterprise identity integration with Windows and Active Directory, supporting Kerberos and group-based access control.
- Broad ecosystem support with mature drivers and integrations across the Microsoft data platform and common BI and ETL tools.
SQL Server is often a strong fit for Microsoft-centric environments and teams that need well-understood operational playbooks for HA/DR and security. Common trade-offs include licensing cost, careful capacity planning for tempdb and I/O-intensive workloads, and additional migration effort when applications rely on SQL Server-specific features.
Common alternatives include PostgreSQL, MySQL, and Oracle Database.
Our experience with SQL Server helped us build repeatable delivery patterns, automation, and troubleshooting playbooks that we use to help clients run reliable, secure, and high-performing database platforms across on-prem and cloud environments.
Some of the things we did include:
- Assessed SQL Server estates (instances, versions, configurations, and workload profiles) and delivered prioritized remediation plans for reliability, security, and performance.
- Designed and implemented SQL Server deployments on Windows and Linux, aligning storage layout, tempdb configuration, and maintenance jobs to workload and SLA requirements.
- Planned and executed upgrades and migrations between SQL Server versions, including compatibility testing, cutover runbooks, rollback strategies, and post-migration validation.
- Built HA/DR architectures using Always On Availability Groups, automated backups, and regularly tested restore procedures to meet RPO/RTO targets.
- Implemented database change delivery with Azure DevOps, including versioned migrations, gated approvals, and safe environment promotion practices.
- Integrated SQL Server workloads with Kubernetes-based application platforms, focusing on connectivity patterns, secrets handling, and operational guardrails for stateful dependencies.
- Hardened security with least-privilege access models, encryption in transit/at rest, auditing, and credential rotation aligned to compliance requirements.
- Improved performance through indexing strategy reviews, query tuning, plan analysis, and capacity right-sizing based on baseline metrics and regression checks.
- Set up monitoring and alerting with Prometheus and Grafana, capturing key health signals (availability, latency, waits, IO pressure) and actionable SLO-based alerts.
- Automated provisioning and configuration using infrastructure-as-code and standardized templates to reduce drift and speed up environment creation across dev/test/prod.
- Delivered operational handover with documentation, runbooks, and team training for day-2 operations, incident response, patching, and capacity planning.
This experience helped us accumulate significant knowledge across multiple SQL Server use-cases—migrations, upgrades, reliability engineering, security, observability, and performance—so we can deliver high-quality SQL Server setups that are maintainable, observable, and ready for production.
Some of the things we can help you do with SQL Server include:
- Assess your SQL Server estate (versions, configurations, workloads, and dependencies) and deliver a prioritized findings report with clear remediation actions.
- Create an adoption, upgrade, or modernization roadmap aligned to reliability, security, and operational targets (RPO/RTO, patching cadence, supportability).
- Implement standardized SQL Server builds using Infrastructure as Code, repeatable templates, and environment parity across dev/test/prod.
- Design and validate HA/DR with backups, restore testing, failover runbooks, and regular recovery drills to meet defined RPO/RTO objectives.
- Harden security with least-privilege access, encryption, auditing, and compliance guardrails for regulated or sensitive data.
- Improve performance through indexing and query tuning, statistics and maintenance strategy, and right-sized CPU/memory/storage configuration.
- Reduce cost and operational overhead via consolidation, capacity planning, and licensing-aware architecture decisions.
- Set up monitoring and observability for availability, latency, and capacity with actionable alerting and on-call runbooks.
- Troubleshoot incidents (blocking, deadlocks, timeouts, replication issues) and implement prevention playbooks to avoid regressions.
- Enable your team with hands-on training, operational documentation, and delivery practices aligned with DevOps consulting for safer releases.
