We value our customers’ trust and offer
what we do best –
PostgreSQL DBMS administration
Experience in solving
non-trivial tasks
We work with different versions of PostgreSQL and solve non-standard problems daily. This allows us to anticipate and prevent problems that could occur tomorrow
Sharing knowledge
with your team
We love what we do and are always willing to share our years of experience to help you better understand and control your database
Cut costs without replacing hardware
As experts, we understand where you can tweak PostgreSQL to increase database performance without upgrading hardware or changing the size of your cloud solution
Reducing
query response time
A comprehensive approach to query optimization allows you to adjust the settings of the database itself, the application, and the hardware environment
Our Services
We’ll help you with any PostgreSQL-related tasks
DBMS performance analysis
Analyzing database metrics, query execution plans, and resource utilization helps identify performance bottlenecks and areas for improvement to maintain optimal system performance
Database performance optimization
This involves fine-tuning various aspects of the database, such as indexing, query optimization, and hardware resource management to ensure efficient and fast data processing.
Data sharding
Sharding is the process of partitioning data across multiple servers to distribute the workload and improve performance, especially in systems with massive datasets
Data backup and recovery
Regular backups ensure that data can be restored in case of corruption, hardware failures, or accidental deletion. A solid recovery plan guarantees minimal downtime and data loss
Comprehensive database tuning to prevent failures
A thorough configuration of database parameters, memory allocation, and I/O settings helps avoid bottlenecks, crashes, and downtime, ensuring the database remains stable under load
Performing upgrades
Upgrading the database system to newer versions provides access to the latest features, performance enhancements, and security fixes, ensuring long-term stability and functionality
Problem diagnosis and troubleshooting
Diagnosing issues like slow queries, deadlocks, or hardware failures involves understanding the root cause and applying the necessary fixes to restore normal database operations
Handling complex workloads
Managing databases with high transaction rates or large-scale analytics requires specific strategies, such as connection pooling, caching, and load balancing to maintain smooth performance
Replication and clustering
Replication ensures data is copied across multiple servers for high availability, while clustering allows for fault tolerance and load balancing, ensuring the database can handle failures and distribute traffic
Monitoring configuration
Setting up effective monitoring tools allows real-time tracking of database health, performance, and resource usage, helping detect and resolve issues before they become critical.
Resolving architectural issues
Addressing design flaws or inefficiencies in the database structure, such as schema design, normalization, or partitioning, ensures scalability, performance, and maintainability of the system
Frequently Asked Questions
What steps can I take to improve my database’s performance?
You can optimize query execution, create proper indexes, adjust memory settings, and ensure that your hardware resources are properly allocated. Regular monitoring and fine-tuning based on workload patterns can also help boost performance.
How often should I perform backups, and what is the best recovery strategy?
Backup frequency depends on your data change rate and business needs. Full daily backups with incremental backups throughout the day are a common approach. A solid recovery strategy involves testing backups regularly to ensure quick and complete data restoration.
What is data sharding, and when should I consider it?
Data sharding involves splitting large datasets across multiple servers to improve performance and scalability. It’s ideal when your database grows beyond the capacity of a single server or requires distributing workload geographically.
How can I diagnose and resolve slow queries in my database?
Use query analyzers to review execution plans and identify inefficiencies like missing indexes or unnecessary full table scans. Proper indexing, query restructuring, and caching are common ways to resolve slow queries.
What are the benefits of replication and clustering in a database?
Replication provides high availability by copying data to multiple servers, while clustering allows load balancing and fault tolerance. Together, they enhance performance, scalability, and system reliability, minimizing the risk of downtime.
When should I upgrade my database system?
Regular upgrades are recommended when new versions offer significant performance improvements, security patches, or critical bug fixes. Upgrading also ensures compatibility with the latest features and third-party tools.
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