PITR in postgresql

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Point-in-Time Recovery (PITR) in PostgreSQL lets you restore a database to a precise moment in the past. It combines a physical base backup (snapshot) with continuous Write-Ahead Log (WAL) archiving. During recovery, PostgreSQL replays the WAL transactions up to your chosen target time. [1, 2, 3, 4, 5]

Core Components

Base Backup: A full physical snapshot of your data cluster directory taken via tools like pg_basebackup, pgBackRest, or Barman.
WAL Archiving: Continuous copying of transaction log files (pg_wal) to a secure, separate storage location as changes occur.
Recovery Target: Setting a specific timestamp, transaction ID, or LSN in your recovery configuration to stop the replay right before an error or data loss event. [1, 2, 3, 4, 5]

Basic Recovery Steps

Stop the PostgreSQL server process.
Clear or backup the existing corrupted/current data directory.
Restore your latest base backup files into the cluster data directory.
Configure recovery parameters (like restore_command and recovery_target_time).
Create a recovery.signal file inside the data directory (PostgreSQL 12+).
Start the server to initiate automatic WAL replay up to the target point. [1, 2, 3, 4]

For managed cloud databases, such as Cloud SQL for PostgreSQL, PITR is typically managed via automated console options to clone or roll back instances directly. [1]

Watch this tutorial to see how physical backups and WAL replay work during a PostgreSQL recovery procedure:

52s

PostgreSQL 18 PITR Tutorial | Point in Time Recovery and ...

1.1ஆ பார்வைகள் · 10 மாதங்களுக்கு முன்

YouTube · Chirag Mahto

If you'd like to proceed, tell me:

• Are you using native tools (pg_basebackup) or a manager like pgBackRest / Barman?
• Do you need help writing the restore_command or setting a recovery_target_time?

BOAT based BPM acronyms

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In Business Process Management (BPM), BOAT stands for Business Orchestration and Automation Technologies. Introduced by Gartner, BOAT is an enterprise framework that describes the convergence of multiple, previously isolated automation and workflow tools into a single, unified orchestration layer. [1, 2, 3, 4]

The primary acronyms and technology layers that build out a BOAT-based BPM platform are grouped below by their function.

The 4 Core Pillars of BOAT

A true BOAT platform merges these four foundational technology sectors into one ecosystem: [1]

BPA / BPM – Business Process Automation / Business Process Management: The overarching discipline and software layer used to design, model, execute, and optimize end-to-end organizational workflows. [1, 2]
RPA – Robotic Process Automation: Technology used to build software "bots" that emulate human actions to automate repetitive, structured, and rule-based tasks. [1]
LCAP / LCAD – Low-Code Application Platform / Low-Code Application Development: Visual development environments that allow business analysts and developers to build process-supporting apps rapidly with minimal coding. [1, 2]
iPaaS – Integration Platform as a Service: Cloud-based integration tools used to seamlessly connect disparate systems, data streams, and APIs across the enterprise. [1, 2]

Advanced & Complementary BOAT Acronyms

As BOAT evolved out of the concept of hyperautomation, it incorporates several other advanced process intelligence and decision-making technologies: [1, 2]

AI / GenAI – Artificial Intelligence / Generative AI: Embedded intelligence used for decisioning, predictive analytics, and conversational workflow interactions. [1, 2]
IDP – Intelligent Document Processing: The use of AI and machine learning to read, extract, and structure data from unformatted text or documents (like invoices or emails). [1, 2]
BAM – Business Activity Monitoring: Real-time tracking of operational KPIs and process performance to quickly flag errors or bottlenecks. [1, 2]
BPMN – Business Process Model and Notation: The standard graphical shorthand used to map out and visually chart complex workflows. [1]
API – Application Programming Interface: The underlying tech protocols that allow different software applications to communicate and pass data within the orchestration layer. [1]

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Are you looking to evaluate a specific vendor platform (like Appian, Pega, or UiPath) using the BOAT standard, or do you need help mapping out an automation strategy for your organization?