Our service acts as a seamless extension of your team. We collaborate directly with your developers and administrators via shared Slack channels and calls, acting as the specialized MariaDB experts they can rely on. This frees your team to focus on application features while we guarantee database performance and reliability.
We fix performance bottlenecks by focusing on their root cause. Our process for MariaDB includes:
Our support is governed by a formal Service Level Agreement (SLA). When a critical MariaDB issue occurs, an on-call expert is immediately alerted and begins active resolution, day or night. Our guaranteed response time for P1 (critical) incidents is 15 minutes.
Yes. We architect, implement, and manage robust High Availability (HA) solutions for MariaDB. Our expertise includes MariaDB Galera Cluster as well as traditional replication setups, often managed with advanced load balancers like ProxySQL or MaxScale to ensure seamless failover.
Our service takes full ownership of your MariaDB database's health, including:
ProxySQL is a high-performance, open-source database proxy that sits between your application and your database. It solves critical production challenges by enabling:
While all are proxies, ProxySQL is specifically database-aware. Unlike a standard load balancer like HAProxy, ProxySQL understands the MySQL protocol, allowing it to inspect and rewrite queries on-the-fly. Compared to MaxScale, it is a fully open-source solution renowned for its performance and flexibility in complex routing scenarios.
Our expertise covers the entire ProxySQL ecosystem. We deploy and manage it for:
ProxySQL ensures high availability by constantly monitoring the health of your database nodes. It can detect when a primary server fails and automatically reroute write traffic to a newly promoted primary. This failover process is seamless to the application, preventing downtime.
Our service goes beyond basic setup. We leverage ProxySQL's advanced features to solve complex issues, including:
No, and that is a primary benefit. ProxySQL is transparent to your application. You simply point your application's database connection to the ProxySQL server instead of directly to the database. No code changes are required to take advantage of its features.
Our implementation process is designed for zero business disruption. We build and test the new ProxySQL environment in parallel with your existing setup. The final cutover is a seamless and instantaneous process, planned during a low-traffic maintenance window to ensure your application is not impacted.
Our team consists of certified MySQL and MariaDB experts with deep, specific knowledge of ProxySQL's advanced features. We don't just install the software; we architect a complete solution that is secure, resilient, and perfectly tuned for your workload. We have a proven track record of deploying and managing ProxySQL for mission-critical, high-traffic applications.
We go beyond surface-level changes like instance types or reserved instances. By optimizing your queries and schema, we fundamentally reduce your database's resource utilization. This allows you to safely downsize your infrastructure, achieving deep, sustainable savings that infrastructure-focused tools simply cannot.
Getting started is a low-effort process for your team. It typically involves a kick-off call to understand your goals and providing our team with secure, read-only access to your cloud and database monitoring tools. We handle the heavy lifting of analysis to begin identifying cost-saving opportunities.
Our process is structured and transparent. It begins with a comprehensive audit to analyze your current usage and identify key areas for improvement. We then deliver a detailed roadmap with prioritized recommendations. The final step is the expert implementation of these changes to lower your database costs.
While results vary by environment, clients often achieve significant cost reductions with a minimum 30% on your overall database spendings. These savings are typically driven by a combination of rightsizing over-provisioned instances, optimizing storage, and tuning queries to reduce CPU and IOPS consumption.
Our service is fully multi-cloud and multi-database. We provide cost optimization strategies tailored for:
No. Our process is designed to implement cost-saving changes with zero downtime. We use non-invasive analysis and schedule any necessary changes during your planned maintenance windows. A right-sized, efficient database is often more stable and reliable, improving your availability.
We focus on efficiency. A high cloud bill is often a symptom of performance bottlenecks like inefficient queries or poor indexing, which cause your database to consume excess CPU and IOPS. Our approach reduces your cloud costs by fixing these root causes, which simultaneously improves application speed.
It's our 360-degree cost optimization service. Through our FinOps for Databases framework, we Visualize your spending, Analyze its root causes, Optimize your databases for efficiency, and Govern your environment to ensure your cloud costs stay low.
We are a business-outcome focused partner. Every technical action we take on your AWS environment is connected to a measurable business result. Whether it's reducing your monthly cloud bill, improving application performance to enhance user experience, or ensuring zero downtime during peak traffic, our goal is to deliver tangible business value.
Our expertise covers a wide range of databases on AWS. We provide deep, specialized support for RDS for MySQL, RDS for PostgreSQL, Aurora MySQL, Aurora PostgreSQL, and Amazon DocumentDB. We recommend the best-fit architecture for your specific workload, without bias.
We architect solutions to meet the most demanding uptime requirements, consistently achieving 99.999% high availability. We design and implement robust AWS-native strategies, including Multi-AZ and Multi-Region deployments, auto-scaling policies, and comprehensive Disaster Recovery (DR) plans.
We deliver significant performance improvements by focusing on the root cause of bottlenecks. Our process includes deep query optimization, advanced indexing strategies, and post-migration tuning specifically for AWS environments like Amazon RDS and Aurora, ensuring your application runs at peak efficiency.
