disaster recovery Archives

Tech Optimizer

September 11, 2026

12-Year-Old PostgreSQL Flaw Lets Attackers Execute Code on Database Servers

A PostgreSQL vulnerability identified as CVE-2026-6471, known as PostGREShell, allows attackers with minimal replication access to execute arbitrary code on database servers. This flaw has existed for approximately 12 years and affects non-superuser PostgreSQL accounts with the REPLICATION attribute, commonly used for backup and replication tasks. The vulnerability arises from inadequate restrictions on the library path specified as an output plugin name, enabling an attacker to exploit the logical decoding feature to load a malicious library. Exploitation requires only a PostgreSQL account with REPLICATION privileges, wal_level set to logical, and access to SMB port 445. The flaw was discovered by Cyera Research and dates back to PostgreSQL 9.4's release in 2014. Patches have been released for versions 18.6, 17.11, 16.15, 15.19, and 14.24, and organizations are advised to upgrade to these versions. Database administrators should audit accounts with the REPLICATION attribute and restrict replication connections. Limiting outbound network access and monitoring logical replication activity is also recommended to mitigate risks.

Tech Optimizer

August 25, 2026

EDB Brings Postgres-Proven Disaster Recovery to Petabyte-Scale WarehousePG Where Downtime Is Not Possible

On August 20, 2026, EnterpriseDB (EDB) announced the general availability of its Disaster Recovery feature for WarehousePG, enhancing EDB Postgres AI's analytical capabilities by enabling recovery of petabyte-scale data in minutes rather than days. This feature allows organizations to maintain a current recovery environment across on-premises, cloud, or hybrid setups, and provides flexibility in activating recovery. The implementation of Disaster Recovery for WarehousePG resulted in approximately 180 times faster recovery, with restore-point replay averaging 16 minutes, full backups decreasing from 44 hours to about 11 hours, and nearly 99% less query lock time. The recovery model was achieved without any modifications to the application architecture. WarehousePG leverages the Postgres framework for disaster recovery processes and includes built-in high availability to safeguard against component failures. The upcoming September version update will integrate Disaster Recovery configuration into WarehousePG Enterprise Manager, allowing operational teams to manage cluster health and resource utilization effectively.

Tech Optimizer

August 25, 2026

Migrate Vaultwarden to PostgreSQL: Scale for Teams [2026]

Self-hosting Vaultwarden with SQLite can lead to performance issues as the user base grows, particularly due to SQLite's limitations with concurrent writes. Transitioning to PostgreSQL allows for better performance, multi-user support, and enhanced data durability. PostgreSQL supports concurrent connections and row-level locking, making it more suitable for team environments. To migrate from SQLite to PostgreSQL, certain prerequisites must be met, including having an existing Vaultwarden deployment, Docker Engine, a PostgreSQL server, and pgloader installed. The migration process involves backing up existing data, deploying a PostgreSQL container, updating configuration files, and using pgloader to transfer data. A VPS with 2 vCPU and 4GB RAM can support up to 50 users, with larger teams requiring more resources. PostgreSQL also allows for the creation of organizations for shared vault access and the configuration of group policies for security. Regular backups and performance tuning are necessary to maintain optimal operation. Common pitfalls during migration include not stopping the Vaultwarden container before migration, failing to encode special characters in the database password, and neglecting to back up data. Troubleshooting may involve checking connection strings and ensuring the PostgreSQL container is healthy. Advanced configurations can enhance performance and functionality, and understanding the differences between Vaultwarden and Bitwarden's official self-hosted server can aid in decision-making.

Winsage

July 25, 2026

BackupChain Expands Hyper-V Backup for Windows Server 2025 as a Veeam Alternative

BackupChain has released an update to its backup and disaster recovery platform for Windows Server and Windows 11 users, introducing features such as faster compression, improved Hyper-V protection, expedited restores, and comprehensive backup validation. The update includes a redesigned deduplication engine that accelerates backup speeds and reduces storage usage. It also features advanced Hyper-V change tracking for efficient incremental backups and is compatible with Windows Server 2016 and later, as well as Windows 10 and 11. Restoration processes have been simplified with single-pass restores, minimizing downtime. Additionally, Deep Verification for VM backups allows for ongoing verification of the backup chain without needing to restore the virtual machine. BackupChain aims to provide robust backup technology tailored for SMBs and IT professionals, positioning itself as an alternative to larger enterprise platforms like Veeam. The latest version is now available.

Tech Optimizer

June 22, 2026

The database that refused to die: How Postgres survived its own creators

Postgres, originally developed by Michael Stonebraker in the early 1980s, is an open-source database system that evolved from Ingres. It was designed to handle complex data types and introduced user-defined data types, operators, and functions, leading to the support for abstract data types (ADTs). The initial commercialization of Postgres occurred through a startup named Illustra, later acquired by Informix. In 1995, graduate students Andrew Yu and Jolly Chen revived Postgres, transitioning it from QUEL to SQL, resulting in Postgre95, which evolved into PostgreSQL. Today, Postgres is one of the most popular database systems globally, known for its extensibility and high code quality. However, it currently lacks features like file-level encryption (TDE), which are standard in commercial systems, relying instead on the operating system for encryption. Efforts to implement TDE have faced challenges due to the complexity of required code changes.

Tech Optimizer

June 18, 2026

Why Oracle’s OCI Database with PostgreSQL matters for serious workloads

Oracle has launched the OCI Database with PostgreSQL, a managed PostgreSQL service designed for seamless deployment within the Oracle Cloud. This service includes lifecycle management, automated backups, and monitoring, allowing users to customize their database configurations easily. A key feature is the cross-region warm standby, which enhances disaster recovery by enabling users to create replica databases in secondary regions that replicate data from the primary database. The service enforces a strict 5-minute recovery point objective (RPO) and simplifies the setup process for operations teams. The OCI Database with PostgreSQL is positioned against offerings from AWS and Azure, targeting organizations that prefer a managed PostgreSQL experience. However, compliance challenges, such as the lack of FedRAMP certification, may hinder adoption for certain sectors. The product is available on OCI with usage-based pricing and is aimed at cloud teams needing managed operations and disaster recovery for PostgreSQL databases.

Tech Optimizer

June 2, 2026

Accelerating developer productivity in the agentic AI era with Amazon Aurora PostgreSQL

Pravin, who leads engineering for Amazon Aurora, shared an anecdote about his son and friends using AI-assisted coding tools to develop an app without needing to worry about database setup. Elizabeth from AWS Databases noted that teams can now deliver projects in days instead of months, with a broader demographic of builders, including analysts and designers. Engineers in Pravin's organization are creating agents that significantly reduce on-call work, and product managers are drafting documents more efficiently. Aurora aims to address the challenges posed by rapid development changes by adhering to three core principles: meeting developers where they work, absorbing workload variability, and growing with applications. Aurora PostgreSQL is integrated into AI coding tools, allowing developers to set up databases quickly. It features a serverless model that automatically scales to meet fluctuating demands, accommodating workloads from small projects to large-scale applications. The database supports existing tools and frameworks, ensuring compatibility and easing migration challenges. Examples of successful transitions to Aurora PostgreSQL include SurveySparrow, which achieved cost savings and improved query latency, and Netflix, which reported significant performance improvements. Aurora's flexibility allows developers to use both serverless and provisioned instances within the same cluster, optimizing operations without data migration. It also provides options for tuning performance and maintaining an up-to-date database with minimal disruption. Aurora Global Database enables applications to expand across regions without overhauling the data layer, supporting cross-region disaster recovery and low-latency reads. Companies like S&P Dow Jones Indices and DraftKings have successfully leveraged Aurora to support their growth and operational needs. Aurora PostgreSQL is designed to empower developers, facilitating innovation across various project scales.

Tech Optimizer

May 22, 2026

AI Data Platform Modernization in Financial Services | Microsoft Azure PostgreSQL | The Microsoft Cloud Blog

Financial service institutions are increasingly exploring AI applications to alleviate operational burdens and gain a competitive edge, but face challenges with legacy data infrastructures that may not meet modern demands. The need for continuous availability and compliance is critical, as even brief downtime can have catastrophic consequences. Aging databases struggle with high-volume transactions and real-time analytics, prompting a focus on predictive maintenance and infrastructure automation. Microsoft Azure's PostgreSQL managed services, including Azure Database for PostgreSQL, address these challenges by providing flexible performance scaling and ensuring high availability. The service can trigger automatic failover within 60 to 120 seconds during outages, guaranteeing up to a 99.99% availability SLA. It supports read replicas for offloading analytics without impacting primary database performance and offers layered security controls, including encryption at rest and network isolation. Azure Database for PostgreSQL simplifies compliance with standards such as PCI DSS and SOC by enabling centralized identity and access management through Microsoft Entra ID authentication. It integrates seamlessly with the Microsoft ecosystem, allowing organizations to connect data to analytics and AI services without complex ETL processes. BNY Mellon successfully modernized its data platform by migrating to Azure Database for PostgreSQL in nine months, achieving improved resilience and allowing engineering teams to focus on innovation. The platform supports high availability, backup capabilities, and extensibility, empowering financial institutions to remain innovative in the era of AI.

Tech Optimizer

April 8, 2026

True enterprise sovereignty is more approachable than ever, thanks to K8s-powered cloud-neutral PostgreSQL

Discussions on digital sovereignty are shifting from infrastructure to databases, driven by geopolitical pressures in Europe. Hyperscalers like Amazon and Microsoft are investing heavily to comply with new regulations, prompting organizations to reconsider their reliance on managed cloud services. Many enterprises are now viewing PostgreSQL as a portable, cloud-neutral foundation to ensure consistent behavior across various environments, leading to interest in Sovereign DBaaS. Gabriele Bartolini, VP and Chief Architect of Kubernetes at EDB, emphasizes that true sovereignty starts with the database and that portability enhances negotiating leverage and compliance. Bartolini warns that while managed cloud services offer convenience, they often sacrifice control. He notes that transitioning away from these services can provide long-term leverage, as evidenced by Microsoft's encouragement for customers to run self-managed PostgreSQL. The Operator Pattern in Kubernetes enables better database management and lifecycle control, with CloudNativePG exemplifying this approach. Bartolini asserts that owning hardware allows organizations to better manage costs, especially for resource-intensive AI workloads, and that moving to bare metal can significantly enhance performance. A cultural shift is necessary for success, with DBAs needing to adapt to cloud-native environments. Bartolini encourages DBAs to develop a broader understanding of Kubernetes to enhance collaboration across teams. He warns that the database team cannot drive change alone and must align with the entire infrastructure direction to avoid dependency on proprietary tools that limit independence and innovation.

Tech Optimizer

April 8, 2026

PostgreSQL logical replication: How to replicate only the data that you need

Many organizations using PostgreSQL face challenges in replicating data across different logical databases while controlling shared information. PostgreSQL 15 introduces native logical replication with column-level and row-level filtering within publications, allowing precise control over data transfer between PostgreSQL databases. Logical replication operates on a publish-subscribe model, where the source database logs changes to the Write-Ahead Log (WAL) and applies publication filters to transmit only the relevant data to the target database. Two filtering modes are available: column-level filtering allows users to specify which columns to replicate, while row-level filtering uses WHERE clauses to determine which rows to include. Both filtering modes can be combined in a single publication. The SQL syntax for creating publications and subscriptions is consistent across various PostgreSQL environments, with specific configurations required for enabling logical replication. Use cases for logical replication include multi-tenant SaaS data isolation, regional data distribution for ecommerce, PCI DSS compliance in financial services, development and testing environments, and retail inventory management. Prerequisites for implementing logical replication include using PostgreSQL 15 or later, ensuring network connectivity, having a user with replication privileges, enabling logical replication on the source instance, and monitoring WAL retention. Logical replication has limitations, such as the need for a replica identity for UPDATE and DELETE operations, the non-replication of DDL changes and sequences, and potential performance overhead during initial synchronization and ongoing replication. After testing, it is advisable to clean up by removing replication resources to prevent unnecessary costs.