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Testimonials
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.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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.
We were impressed with their commitment to the project.
They are very knowledgeable in their area of expertise.
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.
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.
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.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
Nguyen is a champ. He's fast and has great communication. Well done!
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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, secure, and query structured data for business applications, analytics, and transactional systems. It is commonly used by application teams, data engineers, and IT operations to support workloads such as ERP/CRM platforms, line-of-business services, and reporting environments where consistent performance and strong access controls matter. Typical deployments range from a single instance for an application to multi-instance estates supporting many teams and databases.
SQL Server is often run on Windows or Linux and integrated into enterprise workflows for backups, patching, monitoring, and change management, with designs that support high availability and disaster recovery. More details are available in Microsoft’s documentation at https://learn.microsoft.com/sql/.
- ACID-compliant transactions and high-performance querying
- Role-based security and auditing features for controlled access
- Backup, restore, and point-in-time recovery options
- High availability and disaster recovery patterns (e.g., clustering/replication)
- Operational tooling for configuration, monitoring, and maintenance
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 used to store and query structured data for transactional applications, reporting, and analytics. It is commonly selected for its mature operational tooling, security capabilities, and well-defined high availability and disaster recovery patterns.
- Strong transactional correctness with ACID guarantees, locking, and isolation options that support high-concurrency OLTP workloads.
- High availability and disaster recovery features such as Always On availability groups, failover clustering, log shipping, and point-in-time recovery.
- Security controls including Transparent Data Encryption, Always Encrypted, row-level security, dynamic data masking, and built-in auditing for regulated environments.
- Performance tooling like Query Store for plan regression tracking, plus indexing options including columnstore indexes for analytics-heavy workloads.
- In-memory capabilities such as In-Memory OLTP and memory-optimized tempdb improvements that can reduce contention in latency-sensitive systems.
- Operational manageability through SQL Server Management Studio, SQL Server Agent scheduling, and a large ecosystem of monitoring and maintenance practices.
- Flexible deployment across on-premises, virtual machines, containers, and managed cloud services, with consistent engine behavior across environments.
- Integration with Windows and Active Directory for centralized authentication, authorization, and policy-based administration in enterprise estates.
- Scales to large datasets using partitioning, compression, and workload isolation patterns, with options to separate read and write workloads via replicas.
- Broad connectivity and integration across application stacks and data tools, including common drivers and Microsoft data platform integrations.
SQL Server is often a good fit for Microsoft-centric environments and teams that need predictable operations, strong security defaults, and proven HA/DR designs. Trade-offs can include licensing cost and reliance on platform-specific features that may increase migration effort to other database engines.
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 (instances, versions, configurations, and workloads) and deliver a prioritized findings report with remediation actions.
- Build an adoption, upgrade, or modernization roadmap aligned to reliability, security, and operational goals.
- Implement standardized SQL Server builds using Infrastructure as Code, repeatable templates, and environment parity across dev/test/prod.
- Design and validate HA/DR strategies (backup/restore, restore testing, failover procedures) with clear RPO/RTO targets.
- Harden security with least-privilege access, encryption, auditing, and compliance guardrails for regulated data.
- Optimize performance through indexing and query tuning, statistics and maintenance plans, and right-sized resource configuration.
- Reduce cost and operational overhead via consolidation, capacity planning, and licensing-aware architecture decisions.
- Set up monitoring and observability for health, latency, and capacity with actionable alerting and runbooks.
- Troubleshoot incidents such as blocking, deadlocks, and slow queries, then implement playbooks to prevent regressions.
- Enable your team with hands-on training, operational runbooks, and delivery practices aligned with DevOps consulting for safer releases.
