managed services Archives

Tech Optimizer

July 12, 2026

What Is Serverless PostgreSQL?

Serverless PostgreSQL is a fully managed cloud database model that separates compute and storage, allowing them to scale independently and automatically based on demand. It eliminates the need for manual infrastructure provisioning and capacity planning, charging only for active usage. Unlike traditional PostgreSQL setups, which require continuous resource allocation and manual scaling, serverless PostgreSQL provisions resources on demand and can scale down to zero during idle periods. Serverless PostgreSQL integrates with serverless compute platforms, enabling analytical queries to access the same data within a unified architecture. Key differences between traditional and serverless PostgreSQL include manual versus automatic provisioning and scaling, fixed versus usage-based billing, and high versus reduced operational overhead. Lakebase architecture is an emerging model that combines transactional databases with lakehouse foundations, allowing operational and analytical workloads to coexist on a single platform. This architecture minimizes data duplication and simplifies access, enhancing data management and analysis. Serverless PostgreSQL operates on a cloud-native architecture that enhances efficiency by allowing compute and storage to scale autonomously. It features scale-to-zero behavior, where compute resources are suspended when inactive and reactivated upon new queries. Major providers include Databricks Lakebase, Amazon Aurora Serverless v2, and Neon, each offering varying capabilities and integrations. Pricing for serverless PostgreSQL typically includes charges for compute resources, storage, and data transfer, with costs fluctuating based on workload activity. Cold start latency is a performance consideration, as reactivating compute resources can introduce delays. Strategies to mitigate this include keeping resources partially active or selecting providers with minimal cold start impacts. Serverless PostgreSQL is well-suited for OLTP workloads, while lakebase architecture is better for AI development, variable workloads, and environments requiring rapid iteration. Setting up serverless PostgreSQL involves choosing a provider, creating a database instance, and configuring access settings. It can also be used alongside serverless compute platforms for analytics, further extending its capabilities.

Tech Optimizer

July 10, 2026

Google Cloud: PostgreSQL community contribution updates

Google Cloud actively participates in the PostgreSQL ecosystem by supporting community-driven events and contributing to open-source initiatives. Recent key events include: - **PGConf.dev 2026**: Featured strategic discussions on logical replication and global index architecture, with a consensus to adopt a deparsing-based approach for DDL replication. Dilip Kumar presented on global indexes. - **PGConf India 2026**: Attracted over 580 participants, featuring various sessions including keynotes and technical talks by Google Cloud contributors. - **PGDay Paris & PGDay France 2026**: Matt Cornillon was involved in organizing PGDay France, with sessions led by him and Yves Colin. - **PGDay FOSDEM 2026**: Focused on AI-assisted workflows in PostgreSQL development, with a technical talk by Matt Cornillon. - **PGConf Belgium 2026**: The session was selected as supplementary material for a database exam, indicating student engagement. - **Nordic PG Day 2026**: Google participated as a Partner-level sponsor and hosted a dedicated booth. - **Swiss PGDay 2026**: Featured a demonstration on processing vectors in PostgreSQL. - **Postgres Conference 2026 San Jose**: Google sponsored the event, with Vikas Arora discussing PostgreSQL adaptations for AI workloads. Community leadership roles included: - Dilip Kumar on the Program Committee for PGConf.dev 2026 and the Paper Selection Committee for PGConf India 2026. - Matt Cornillon on the organization committee for PGDay France, and Yves Colin on the Program Committee. Acknowledgment was given to various contributors for their dedication to PostgreSQL conferences.

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 6, 2026

PostgreSQL vs SQL Server 2026: $0 vs $15K License

PostgreSQL has become the most utilized database for developers for two consecutive years as of 2026, while SQL Server has introduced native AI capabilities and vector search functionalities in its latest release. PostgreSQL is favored for new projects due to its permissive licensing, cross-platform operation, and extensive ecosystem of extensions, whereas SQL Server is preferred by organizations already using Microsoft products for its robust tooling and enterprise support. As of June 2026, SQL Server ranks third in the DB-Engines popularity ranking with a score of 698, while PostgreSQL ranks fourth with a score of 688. Developer adoption trends show that 49% of respondents in the Stack Overflow 2024 Developer Survey use PostgreSQL, compared to 27% for SQL Server. The latest stable version of PostgreSQL is 18.4, released on May 14, 2026, while SQL Server 2025 (version 17.x) became generally available on November 18, 2025. PostgreSQL is free under a permissive license, while SQL Server's Enterprise Edition can cost upwards of ,123 per two-core pack, with an eight-core minimum. PostgreSQL supports various operating systems, including Linux, Windows, macOS, and BSD, while SQL Server operates on Windows and Linux. PostgreSQL uses PL/pgSQL as its primary procedural language, allowing for multiple procedural languages, whereas SQL Server uses T-SQL. PostgreSQL's JSONB type offers rich indexing, while SQL Server added native JSON support in its 2025 release. Both databases are capable of handling high transaction volumes, but PostgreSQL excels in read-heavy scenarios due to its multi-version concurrency control, while SQL Server's columnstore indexes provide advantages for analytical workloads. PostgreSQL supports tables up to 32 TB, while SQL Server can handle a maximum database size of 524 PB. SQL Server's high availability technology includes Always On Availability Groups, while PostgreSQL offers built-in streaming and logical replication. The security features of both databases meet enterprise standards, with PostgreSQL providing a transparent patching process and SQL Server integrating with Microsoft tools. Real-world usage examples include Stack Overflow using SQL Server, while Instagram and Reddit utilize PostgreSQL. Developer sentiment increasingly favors PostgreSQL for new projects, emphasizing flexibility and open-source solutions. For new startups or greenfield projects, PostgreSQL is recommended due to its zero license cost and compatibility. Existing Microsoft enterprises are advised to stick with SQL Server for its integration benefits. Migration from SQL Server to PostgreSQL is becoming common, with a structured approach required for successful transitions.

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

May 15, 2026

From commit to cloud: Powering what’s next for PostgreSQL

PostgreSQL is widely used across various industries, supported by Microsoft through significant investments, including 345 commits to the latest release and a dedicated team of contributors. It is recognized for its ability to handle complex production challenges, such as transactional integrity and concurrency management. Microsoft operates PostgreSQL globally, informing upstream contributions based on real-world deployment experiences. The database is increasingly integrated into AI applications, with Azure Database for PostgreSQL and Azure HorizonDB focusing on AI functionalities. Microsoft offers multiple deployment models to accommodate different workload needs, including Azure Database for PostgreSQL for open-source workloads and Azure HorizonDB for cloud-native systems. Recent contributions from Microsoft include enhancements in asynchronous I/O, vacuum behavior, and query planning. Azure HorizonDB is designed for high-throughput, low-latency systems requiring horizontal scaling. Microsoft also invests in developer tools, such as a Visual Studio Code extension for PostgreSQL, and sponsors PostgreSQL conferences and user groups globally.

Tech Optimizer

May 8, 2026

CrowdStrike Falcon: What US Businesses Need to Know Right Now About the Security Platform

CrowdStrike Falcon is a cloud-native endpoint protection platform (EPP) and extended detection and response (XDR) solution used by many U.S. organizations to combat modern cyber threats such as ransomware and supply chain attacks. It utilizes behavioral analysis, machine learning, and real-time telemetry instead of traditional signature-based detection methods. Falcon features a lightweight agent that operates on various endpoints, collecting telemetry data for analysis. Key modules include Falcon Prevent for blocking malware, Falcon Insight for monitoring endpoint activity, and Falcon OverWatch for managed detection and response services. The platform also offers identity protection and cloud workload security, integrating telemetry from various environments for a comprehensive threat view. Falcon is particularly beneficial for medium to large-sized organizations with dedicated security teams and complex IT infrastructures. However, it may not be suitable for smaller businesses due to its licensing model and operational complexity. Its strengths include rapid deployment, scalability, and advanced detection capabilities, while its limitations involve reliance on proper configuration and cloud connectivity. Competitors include Microsoft Defender for Endpoint and SentinelOne. Organizations considering Falcon should evaluate their security needs, existing infrastructure, and budget, as well as the total cost of ownership.

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

February 14, 2026

PostgreSQL on Azure supercharged for AI

Over 80% of developers now incorporate AI tools into their workflows. PostgreSQL is preferred by 78.6% of developers engaged in AI and real-time applications. Microsoft has enhanced its PostgreSQL managed services to meet contemporary developer needs, contributing over 500 commits to the open-source project. The Azure Database for PostgreSQL supports both lift-and-shift and new open-source workloads, while the newly introduced Azure HorizonDB is designed for AI-native workloads. Developers can provision PostgreSQL instances directly from Visual Studio Code, and GitHub Copilot assists in writing and optimizing SQL queries. Azure Database for PostgreSQL facilitates integration with Microsoft Foundry for AI applications and supports high-performance similarity search with DiskANN vector indexing. PostgreSQL 18 is now available on Azure, offering enhanced performance and scalability. Nasdaq has modernized its Boardvantage platform using Azure Database for PostgreSQL and Microsoft Foundry to integrate AI for governance tasks. Azure HorizonDB is a fully managed PostgreSQL-compatible service designed for AI-native workloads, currently in private preview.

Tech Optimizer

January 3, 2026

Why AI Workloads Are Fueling a Move Back to Postgres

The database landscape has seen transformative shifts with the rise and fall of various technologies, leading to a resurgence in the adoption of PostgreSQL (Postgres) as a favored database system for modern AI applications. AI workloads have disrupted traditional managed database models, which were designed for predictable workloads, by introducing demands for high parallelism and continuous ingestion of large datasets. Engineering teams face challenges when scaling managed Postgres instances due to IOPS limits, throttling, and latency spikes. Major database vendors are emphasizing PostgreSQL compatibility, recognizing the need for a stable SQL system with strong transactional support. Despite its advantages, traditional managed database models present limitations, including reliance on network storage that introduces latency and IOPS constraints. A new model called Bring Your Own Cloud (BYOC) Postgres is emerging, allowing organizations to control their cloud environments while leveraging managed services, improving performance by colocating data with compute resources. Utilizing local NVMe storage with Postgres can enhance performance by reducing latency and IOPS limitations. Modern Postgres platforms facilitate efficient cloning processes that support parallel experiments in AI development, leading to shorter feedback loops and faster iteration cycles. The robust ecosystem of Postgres allows it to handle diverse workloads, streamlining data management and minimizing operational complexity. Developer velocity is a critical factor in the shift back to Postgres, as it enables rapid feedback and safe testing environments, empowering teams to innovate more effectively.