We understand sub-optimal database management processes add cost, complexity, and risk to your business. That’s why we offer a comprehensive database assessment at the onset of each client engagement.
Our database assessment identifies current state and defines future state for all core database elements, including security checks, performance checks, configuration checks, data consistency, backup and disaster recovery protocols, and more.
Unsure of your database health? Take this self-assessment to find out:
At My IT Team, we provide a comprehensive approach to database migration to ensure successful execution of each client project. Our database team adheres to strict industry standards to guarantee data safety and quality, while also meeting each client’s specific set of needs.
Our migration process includes an in-depth analysis of existing systems, a complete back up all data before making changes, custom process scoping to match your firm’s specific needs, thorough post-migration testing, and complete documentation for reference and support.
We employ a 16-point daily health check process that scrutinizes all aspects of database management to optimize performance, lower cost, and reduce cyber risk exposure.
Our team continuously monitors storage, memory, and CPU usage, while tracking database logs for suspicious activities. We also monitor native HA/DR events to ensure prompt remedial action should an issue arise.
Our meticulous monitoring process leaves no aspect of your database management program unchecked, ensuring you maintain your operational excellence and competitive advantage.
Issues can pop up in your database environment at any time—let’s face it, none of us work in a static environment. With 24/7 Azure monitoring, MY IT Team's database monitor is built to identify spikes in wait time behavior in a multi-dimensional way, making it easier to zero in on what’s causing the bottleneck and more easily understand where it’s coming from.
Powered by machine learning, DPA for Azure SQL is built to watch for anomalies in behavior patterns, allowing you to see a problem’s magnitude and receive an alert based on sensitivities you can define.
