Browse All Posts (1929)

Paula Santamaría and Julia Schröder Langhaeuser present a production Retrieval-Augmented Generation (RAG) architecture built on Azure Database for PostgreSQL, explaining why Postgres can be a solid foundation for RAG at scale and what it takes to move from prototype to production with performance tuning and monitoring.

Dingding Lu explains why Microsoft built Azure HorizonDB for PostgreSQL and how its shared-storage design targets predictable performance, fast failover, and scalable reads for modern Postgres workloads running on Azure.

Diaa Radwan explains how to build event-driven architectures directly on PostgreSQL using logical replication and change data capture, and compares three CDC approaches (wal2json, Debezium+Kafka, and Drasi) using live benchmarks for overhead, latency, and implementation complexity.

Natalie Guevara explains how GitHub Copilot is improving token efficiency in longer sessions by caching repeated prompt context, loading tool definitions on demand, and routing requests to the best-fit model via Auto model selection. The post also shares practical habits for reducing credit burn in day-to-day Copilot workflows.

Amar Digamber Patil explains what viewers will learn from the Budget Bytes series, focusing on building AI-powered applications on Azure SQL and how to evolve from simple setups to more scalable architectures while keeping costs within a $25 budget.

Allison summarizes June 2026 improvements to GitHub secret scanning, including new detectors, expanded push protection defaults, added validity checks for more secret types, and richer metadata on detections to help teams prioritize remediation.

Amar Digamber Patil introduces the Budget Bytes series and explains what viewers will learn about building AI-powered apps with Azure SQL, covering approaches that start simple and scale up while staying within a $25 budget.

Rob Lefferts summarizes Microsoft’s positioning as a Leader in Forrester’s 2026 XDR Wave and explains the security platform themes Microsoft is emphasizing: cross-domain signal correlation, attack disruption, built-in threat intelligence, and SOC workflows powered by Microsoft Defender, Microsoft Sentinel, and Security Copilot.

GitHub announces the general availability of the GitHub Copilot app, a native desktop experience focused on agent-driven development. GitHub highlights starting sessions from issues and pull requests, running work in parallel, and using a unified workspace with full GitHub context to take tasks from issue to merge.

malaikanazim announces that Azure StandardV2 NAT Gateway now supports outbound ping using ICMP Echo Request/Reply, enabling basic reachability checks and faster troubleshooting for workloads that egress through NAT Gateway without needing per-VM public IPs or extra configuration.

Allison announces a new GitHub Copilot enterprise governance control that lets admins disable bypassing permission prompts (“yolo mode” / auto-approve) in Copilot clients. The update explains where to place the enterprise-managed settings file, how it’s applied to licensed users, and which VS Code versions respect the policy.

amitch announces a preview ServiceNow connector that can query Microsoft OneLake data in place (zero-copy), aiming to reduce ETL and keep a single governed data foundation across Microsoft Fabric analytics and downstream operational workflows.

Sandeep Deo explains how AI is speeding up identity-based attacks and what Microsoft is changing across Entra and Defender to help teams prevent, detect, and respond faster. The post highlights unified identity risk scoring, improved Entra ID Protection views, least-privilege response roles, and agent-driven recommendations for Conditional Access.

Jan Krivanek introduces the Microsoft Binlog MCP Server, an MCP server that lets AI assistants (including GitHub Copilot) query MSBuild .binlog files using 15 purpose-built tools for failure diagnosis, property tracing, performance bottleneck analysis, and build-to-build comparisons across Visual Studio, VS Code, and CLI workflows.

yairgil explains how the Azure Copilot Observability Agent in Azure Monitor helps teams investigate AKS incidents by correlating metrics, logs, traces, Kubernetes events, and change history into an evidence-backed root-cause narrative with recommended next steps.

Allison announces general availability of auto model selection in GitHub Copilot Chat on github.com and the GitHub mobile app, explaining how auto routes requests to different AI models based on task complexity and real-time availability, and how it affects transparency, policy controls, and token billing.

Allison announces a GitHub repository setting that lets maintainers cap how many open pull requests a user without write access can have at once, helping reduce review queue noise and CI overhead in busy open source projects.

Allison announces GitHub Copilot’s new agent finder, which discovers and ranks agent capabilities from a registry you choose, with enterprise controls over what resources can be surfaced and used.

GitHub shares how ASOS adopted GitHub Copilot after migrating to GitHub, focusing on reducing developer toil and speeding up delivery. It highlights using Copilot to streamline pull requests and building custom AI agents so engineers can spend less time on routine work and more time shipping features.

jiang_jenny1 introduces the Fabric Spark Operations Skill (preview), an AI-assisted, read-only troubleshooting tool for Spark workloads in Microsoft Fabric. It turns common investigations—failed notebooks, pipeline failures, session triage, and performance issues—into natural-language commands that produce a severity-ranked diagnostic report with fix recommendations and links back to Fabric.

Waldek Mastykarz explains why AI coding agent extensions that perform well alone can degrade results when installed alongside other extensions, and how to measure and reduce these composition effects in real developer workspaces.

Microsoft Developer previews Livestream 3 of POSETTE 2026 with short introductions to 11 PostgreSQL talks, including WAL, logical replication, testing and coverage, consistency in clusters, performance tuning, and a session on production RAG at scale using Azure Database for PostgreSQL.

Visual Studio Code shares a quick set of “top tips” from the engineering team, highlighting practical editor features like subagents, favorite shortcuts, and a few hidden easter eggs, plus a mention of event agent markdown files and GitHub Copilot-related workflows.

Allison announces that GitHub Copilot individual plan sign-ups are reopening (Student, Pro, Pro+, and Max) and outlines immediate changes to how upgrades and continued usage work when you approach included usage and spending limits.

Allison announces the general availability of the GitHub Copilot app for macOS, Windows, and Linux, positioning it as a desktop workflow for agent-driven development. The post highlights starting sessions from issues or pull requests, running parallel sessions per repo, reviewing diffs, and using canvases, cloud automations, and MCP-connected tools.

John Savill walks through recent identity and authentication changes for Azure Files, focusing on Microsoft Entra ID–integrated authentication scenarios including managed identity access, cloud-only identity access, and macOS Platform SSO (PSSO) access.

Adithya Kumaranchath shares field-tested strategies for migrating multi-terabyte Oracle databases to Azure Database for PostgreSQL Flexible Server with minimal downtime, covering planning, tuning, and common pitfalls that show up at very large scale.

Murat Tuncer walks through how PostgreSQL authentication evolved from early trust-based local setups to modern certificate and token-based approaches, explaining why each method exists, what trade-offs it made, and the common mistakes teams still run into when choosing auth for production deployments.

Mohsin Ejaz explains how to build safety tooling and guardrails for automated, AI-driven PostgreSQL tuning, focusing on monitoring, validation, and risk controls so performance improvements don’t come at the cost of outages or regressions.

Karl-WE breaks down June 2026 changes to Azure Local licensing and the Azure Local Solutions hardware ecosystem, including new host fee tiers (S2D, external storage/SAN, and disconnected operations) and the shift from a 3-tier to 2-tier hardware catalog model. The post also clarifies key acronyms and support implications for existing deployments.

Ryan Caldwell and Bhavya U explain how the VS Code team is reducing GitHub Copilot’s token usage (and improving latency) in agentic sessions, with concrete changes to prompt caching, tool-definition loading, and transport choices across OpenAI and Anthropic models.

Microsoft Developer shares a short trailer previewing Livestream 2 of POSETTE 2026, highlighting 11 PostgreSQL talks including a session on migrating very large databases from Oracle to Azure Database for PostgreSQL, plus upcoming Postgres features, performance internals, authentication changes, and operational patterns like queueing and connection pooling.

jiang_jenny1 announces a preview update to the Spark History Server in Microsoft Fabric that speeds up loading for large Spark applications by switching to snapshot-based, incremental rendering. The post also covers expanded support for Spark Streaming configurations like event log compression and rolling logs.

Natalie Guevara explains Git worktrees as a practical way to work on multiple branches at once without stashing or constantly switching contexts, and shows the core commands plus the trade-offs to watch for. The article also connects worktrees to parallel workflows used by tools like the GitHub Copilot app.

Affan Dar and Charles Feddersen share how Microsoft is investing in PostgreSQL upstream and how that work feeds into Azure Database for PostgreSQL, including scaling features, HorizonDB, developer tooling, and a look at building AI pipelines inside Postgres.

Adam Wolk explains how fuzzing can uncover edge-case bugs in PostgreSQL, focusing on the libpq client library and the networking protocol surface. He covers why fuzzing works, what makes a good target in Postgres, and practical steps for building harnesses and mutating protocol inputs.

Pamela Fox presents a practical design discussion on building Model Context Protocol (MCP) servers for PostgreSQL, focusing on how tool interfaces affect LLM query accuracy and safety. She compares free-form SQL vs typed tools, and walks through common failure modes like SQL injection, risky mutations, and expensive queries.

Matt McFarland explains how PostgreSQL developer tooling is being extended from the VS Code PostgreSQL extension into AI-driven environments like Cursor and the GitHub Copilot CLI, using an MCP server as a shared interface for connections, queries, schema inspection, and performance analysis.

Andrew Ruffin explains how to choose Azure infrastructure for PostgreSQL workloads, focusing on VM family selection, benchmarking results, and cost/performance trade-offs. The talk compares IaaS vs PaaS deployment choices and highlights hardware features and security options that can improve Postgres performance while controlling cloud spend.

Taiob Ali compares PostgreSQL and SQL Server security models, focusing on how each platform handles authentication vs. authorization, roles, and permissions, and what those differences mean for building secure, maintainable database access patterns.