PostgreSQL 13 End of Life: Your Complete Guide to Upgrading Before November 2025

Critical Deadline Alert: PostgreSQL 13 will officially reach end of life on November 13, 2025. After this date, the PostgreSQL Global Development Group will stop releasing security patches and bug fixes for this version. If you're running PostgreSQL 13 in production, the clock is ticking—and the time to act is now.

Understanding the PostgreSQL 13 EOL Timeline

PostgreSQL follows a predictable and transparent support policy that provides five years of full support for each major version. PostgreSQL 13 was released in September 2020, bringing significant performance improvements and new features that made it an attractive choice for many organizations. However, after five years of excellent service, this version is approaching its scheduled retirement.

The final release in the PostgreSQL 13.x series was version 13.22, released on August 14, 2025. This represents the last minor update before the version enters its end-of-life phase. The official EOL date of November 13, 2025, is not negotiable—on this date, the PostgreSQL community will cease all development, bug fixes, and security patching for version 13.

What About Cloud-Hosted PostgreSQL?

If you're running PostgreSQL 13 on Amazon RDS, you have a slightly extended timeline. Amazon RDS PostgreSQL 13.x will reach the end of standard support on February 28, 2026, giving RDS users an additional three-and-a-half months beyond the community EOL date.

However, this extension comes with important caveats. After February 28, 2026, RDS PostgreSQL 13 will be available only under Amazon RDS Extended Support, which comes with significantly increased monthly charges. While Extended Support provides up to three additional years of critical security patches and bug fixes, the costs can be substantial. Organizations should carefully evaluate whether paying premium prices for Extended Support makes financial sense compared to upgrading to a supported version.

Why PostgreSQL 13 Was Great—And Why It's Time to Move On

Before discussing migration strategies, it's worth acknowledging why PostgreSQL 13 became so popular in the first place. This version introduced several significant improvements that made it an excellent choice for demanding production workloads.

Performance Enhancements That Made a Difference

PostgreSQL 13 brought notable performance improvements that organizations still benefit from today. B-tree index deduplication reduced index size and improved performance for workloads with many duplicate values—a common scenario in real-world applications. Enhanced parallel query execution delivered better performance for aggregates and partitioned tables, making analytical queries significantly faster. Incremental sorting improved query performance for operations that could use partially sorted data, while parallelized VACUUM operations made index cleanup and maintenance faster and less disruptive.

Management and Operational Improvements

Beyond raw performance, PostgreSQL 13 improved the database administrator experience with better monitoring capabilities, more comprehensive statistics, and enhanced query planning through extended statistics. Replication also became more robust, with improvements to streaming replication that increased reliability for high-availability configurations.

These were genuinely valuable improvements that served organizations well for the past five years. However, PostgreSQL development hasn't stood still. Versions 14 through 17 have introduced even more significant enhancements in performance, security, and functionality. By staying on version 13 past its EOL date, organizations miss out on years of innovation while exposing themselves to increasing security risks.

The Real Risks of Running PostgreSQL 13 After EOL

Once PostgreSQL 13 reaches its end-of-life date, continuing to run this version transitions from a reasonable choice to a significant organizational risk. Understanding these risks is crucial for making informed decisions about upgrade timing and resource allocation.

Security Vulnerabilities Without Patches

The most immediate and severe risk is security. After November 13, 2025, any newly discovered security vulnerabilities in PostgreSQL 13 will remain unpatched. The PostgreSQL community has an excellent track record of rapidly addressing security issues, but this protection ends abruptly at EOL.

Consider the recent security bulletin from December 2024, which addressed a buffer over-read vulnerability in PostgreSQL GB18030 encoding validation. This vulnerability, affecting PostgreSQL versions 13 through 17, could allow a database input provider to achieve temporary denial of service on certain platforms. The issue was promptly fixed in versions 17.5, 16.9, 15.13, 14.18, and 13.21.

After November 13, 2025, similar vulnerabilities discovered in PostgreSQL 13 will not receive fixes. Your organization will be on its own—either accepting the risk, implementing custom patches without community support, or scrambling to execute an emergency upgrade under pressure. None of these options are acceptable for production systems handling sensitive or business-critical data.

The security threat is not theoretical. Attackers actively monitor software EOL dates and vulnerability disclosures. When security researchers publish details about vulnerabilities in supported versions, sophisticated attackers reverse-engineer these fixes to create exploits specifically targeting older, unpatched versions. Running an EOL database essentially places a target on your infrastructure.

Missing Bug Fixes and Performance Improvements

Beyond security patches, EOL databases miss out on ongoing bug fixes and performance improvements. The December 2024 PostgreSQL update (versions 17.5, 16.9, 15.13, 14.18, and 13.21) fixed over 60 bugs affecting query planning, parallel execution, index operations, replication, and other critical database functions.

After PostgreSQL 13 reaches EOL, similar bugs will remain unfixed indefinitely. This means your database may experience:

• Query planning inefficiencies that waste computing resources
• Subtle data consistency issues under specific conditions
• Performance degradation in certain workload patterns
• Operational challenges that newer versions have already resolved
• Compatibility problems with modern extensions and tools

The cumulative impact of missing dozens or hundreds of bug fixes over time can significantly affect database reliability and performance.

Ecosystem Compatibility Challenges

The PostgreSQL ecosystem—extensions, tools, drivers, and frameworks—moves forward with the database. As PostgreSQL 13 becomes increasingly outdated, expect compatibility challenges with:

Extensions: Popular extensions like PostGIS, TimescaleDB, pg_cron, and others will eventually drop support for PostgreSQL 13. Some may already have reduced testing and support for this version.

Database Tools: Backup tools, monitoring solutions, connection poolers, and management utilities focus development efforts on current PostgreSQL versions. As PostgreSQL 13 ages, these tools may exhibit bugs or limitations when used with version 13.

Application Frameworks: Modern versions of popular frameworks (Django, Rails, Spring, Laravel) and database drivers optimize for current PostgreSQL versions and may deprecate support for older releases.

Cloud Services: Even if AWS RDS offers Extended Support, other cloud providers and database-as-a-service platforms may deprecate PostgreSQL 13 on their own schedules.

Compliance and Regulatory Concerns

Many regulatory frameworks and security standards now explicitly require organizations to use supported software versions. Running EOL databases can create compliance issues with:

• PCI DSS: The Payment Card Industry Data Security Standard requires documented plans to retire EOL systems, with version 4.0 making this mandatory from March 2025.
• GDPR: The General Data Protection Regulation requires "state-of-the-art" security measures. Running EOL software with known unpatched vulnerabilities fails to meet this standard.
• HIPAA: Healthcare organizations must implement reasonable safeguards for protected health information. Failing to patch known vulnerabilities represents a direct HIPAA Security Rule violation.
• SOC 2: Organizations pursuing SOC 2 certification will find that auditors flag EOL databases as significant control deficiencies.
• Industry-Specific Requirements: Financial services, government contracting, and other sectors often have additional requirements around software currency and support.

Beyond formal compliance requirements, cyber insurance policies increasingly exclude coverage for breaches involving EOL software, leaving organizations fully exposed to financial consequences.

Your PostgreSQL 13 Upgrade Path: Options and Strategies

The good news is that upgrading from PostgreSQL 13 is well-understood, thoroughly documented, and supported by excellent tooling. Multiple upgrade paths exist, each with different tradeoffs in terms of complexity, downtime, and risk.

Choosing Your Target Version

PostgreSQL offers several supported target versions for your upgrade:

PostgreSQL 14: Supported until November 2027. This represents the smallest version jump with minimal breaking changes. Choose PostgreSQL 14 if you need the safest, most conservative upgrade path and can tolerate another upgrade in about two years.

PostgreSQL 15: Supported until November 2028. This version introduces logical replication improvements and performance enhancements while remaining relatively close to PostgreSQL 13 in terms of features and behavior.

PostgreSQL 16: Supported until November 2029. This Long-Term Support release provides over four years of remaining support life and includes significant query performance improvements, better parallel execution, and enhanced monitoring capabilities.

PostgreSQL 17: The latest stable release with support extending into 2030. This version offers the most advanced features and longest support runway but represents the largest jump from PostgreSQL 13.

At JusDB, we typically recommend upgrading to PostgreSQL 16 or 17 for most organizations. While these represent larger version jumps, they provide the longest support window before your next upgrade and deliver the most significant performance and feature improvements. The incremental effort of upgrading to version 16 or 17 compared to version 14 is usually modest, while the benefits are substantial.

Upgrade Method 1: pg_dump and pg_restore (Most Reliable)

The pg_dump and pg_restore method represents the most reliable and straightforward approach to upgrading PostgreSQL. This "logical backup and restore" method exports your database to SQL format, then imports it into the new version.

Advantages:

• Works for any version jump (PostgreSQL 13 to 17, for example)
• Creates a clean database without accumulated bloat
• Most thoroughly tested and understood upgrade path
• Easiest to troubleshoot if issues arise
• Provides an opportunity to reorganize or optimize schemas

Disadvantages:

• Requires downtime proportional to database size
• Can be time-consuming for very large databases
• Requires storage space for both old and new databases

Basic Process:

# Dump from PostgreSQL 13
pg_dump -h source_host -U username -d database_name -Fc -f backup.dump

# Restore to new version (PostgreSQL 16 or 17)
pg_restore -h new_host -U username -d database_name -v backup.dump

For large databases, consider using parallel dump and restore operations to significantly reduce migration time. The -j flag enables parallel processing for both pg_dump and pg_restore.

Upgrade Method 2: pg_upgrade (Faster, In-Place)

The pg_upgrade utility performs in-place upgrades with minimal downtime by linking or copying data files rather than dumping and restoring all data. This method is significantly faster for large databases.

Advantages:

• Much faster than dump and restore for large databases
• Can use hard links to avoid copying all data (with --link option)
• Officially supported upgrade method
• Preserves all database objects and configurations

Disadvantages:

• More complex than dump and restore
• Requires databases to be shut down during upgrade
• Rollback is more complicated if issues occur
• Extension compatibility must be verified carefully
• Cannot use the --link option if old and new versions are on different filesystems

Basic Process:

# Install new PostgreSQL version alongside version 13
# Stop both PostgreSQL clusters

# Run pg_upgrade
pg_upgrade \
  --old-bindir /usr/pgsql-13/bin \
  --new-bindir /usr/pgsql-16/bin \
  --old-datadir /var/lib/pgsql/13/data \
  --new-datadir /var/lib/pgsql/16/data \
  --link \
  --check

# After successful check, run without --check flag
# Start new PostgreSQL cluster

The pg_upgrade method works well for planned maintenance windows when you can afford several hours of downtime. Always run pg_upgrade with the --check flag first to identify potential issues before executing the actual upgrade.

Upgrade Method 3: Logical Replication (Minimal Downtime)

For systems requiring near-zero downtime, logical replication allows you to set up a PostgreSQL 16 or 17 instance that continuously synchronizes with your PostgreSQL 13 source. Once replication catches up, you can switch applications to the new version with minimal disruption.

Advantages:

• Near-zero downtime cutover (often seconds, not hours)
• Extensive testing possible while replication runs
• Easy rollback if issues discovered after cutover
• Both versions run simultaneously during migration

Disadvantages:

• Most complex upgrade method to configure
• Requires additional infrastructure for second database
• Not all database features replicate (DDL must be applied separately)
• Requires careful management of replication lag

Logical replication is the gold standard for mission-critical databases where downtime directly translates to lost revenue or severe business impact. JusDB's Zero-Downtime Migration Service specializes in implementing logical replication strategies that minimize business disruption.

Upgrade Method 4: Blue-Green Deployment

The blue-green deployment strategy maintains two complete database environments. Your current PostgreSQL 13 "blue" environment serves production traffic while you build and test a complete PostgreSQL 16 or 17 "green" environment. Once validated, you switch traffic to the green environment.

Advantages:

• Safest rollback option—simply switch back to blue
• Complete testing in production-identical environment
• No risk to existing production system during testing
• Can run both environments in parallel for extended validation

Disadvantages:

• Requires double the infrastructure during migration
• Data synchronization between blue and green can be complex
• Most expensive approach in terms of resources

Blue-green deployments work particularly well for cloud-hosted databases where spinning up parallel infrastructure is straightforward and cost-effective.

Your PostgreSQL 13 Upgrade Roadmap: A Phase-by-Phase Guide

Successfully upgrading from PostgreSQL 13 requires careful planning and systematic execution. Follow this proven roadmap to ensure a smooth transition.

Phase 1: Discovery and Assessment (1-2 Weeks)

Begin by thoroughly understanding your current PostgreSQL 13 environment:

Inventory All PostgreSQL 13 Instances: Document every PostgreSQL 13 database in your environment including development, testing, staging, and production systems. Don't overlook forgotten instances that may be running legacy applications.

Identify Dependencies: Map which applications, services, and integrations depend on each database. Understanding dependencies is critical for coordinating upgrades and testing.

Check Extension Compatibility: List all installed extensions and verify their compatibility with your target PostgreSQL version:

-- List installed extensions
SELECT extname, extversion 
FROM pg_extension 
WHERE extname NOT IN ('plpgsql');

-- Check for version-specific extensions
SELECT * FROM pg_available_extensions 
WHERE installed_version IS NOT NULL;

Common extensions like PostGIS, TimescaleDB, pg_cron, and pgvector must be verified for compatibility with your target version. Some extensions may require updates or configuration changes.

Review Custom Code and Features: Examine your application code, stored procedures, and SQL queries for use of deprecated features or PostgreSQL 13-specific syntax that may behave differently in newer versions.

Document Current Performance: Establish baseline performance metrics for query execution times, throughput, and resource utilization. These baselines are essential for validating that your upgrade maintains or improves performance.

JusDB's PostgreSQL Assessment Service automates much of this discovery process, providing comprehensive reports on compatibility issues, performance baselines, and recommended upgrade paths.

Phase 2: Planning and Preparation (1-2 Weeks)

With a clear understanding of your environment, develop a detailed upgrade plan:

Choose Your Target Version: Based on your requirements for feature availability, support duration, and compatibility, select whether to upgrade to PostgreSQL 14, 15, 16, or 17.

Select Upgrade Method: Choose between pg_dump/restore, pg_upgrade, logical replication, or blue-green deployment based on your downtime tolerance, database size, and operational requirements.

Define Success Criteria: Establish clear, measurable criteria for a successful upgrade including performance benchmarks, functionality validation, and data integrity checks.

Schedule Maintenance Windows: Reserve appropriate time windows for the upgrade, accounting for the size of your database and chosen upgrade method. Always include buffer time for unexpected issues.

Prepare Rollback Procedures: Document step-by-step rollback procedures in case critical issues arise. Test these procedures in non-production environments.

Coordinate with Stakeholders: Communicate upgrade plans to application teams, business stakeholders, and end users well in advance. Set expectations for any downtime or performance impact.

Phase 3: Testing and Validation (2-4 Weeks)

Never upgrade a production database without thorough testing in a realistic environment:

Build Test Environment: Create a test environment that mirrors production as closely as possible. Using a small subset of production data rarely reveals the issues you'll encounter at scale.

Execute Test Upgrade: Perform the complete upgrade procedure in your test environment, documenting time required for each step and any issues encountered.

Application Testing: Run comprehensive functional tests covering all application features. Pay special attention to:

• CRUD operations (Create, Read, Update, Delete)
• Complex queries and reports
• Stored procedures and functions
• Triggers and constraints
• Backup and restore operations

Performance Testing: Execute performance tests using realistic workloads:

-- Performance comparison queries
EXPLAIN ANALYZE SELECT ...;  -- Compare query plans

-- Check for regression in common queries
SELECT query, calls, total_exec_time, mean_exec_time
FROM pg_stat_statements
ORDER BY total_exec_time DESC
LIMIT 20;

Load Testing: Simulate peak load conditions to verify the upgraded database can handle production traffic volumes.

Failure Scenario Testing: Test your rollback procedures and disaster recovery processes in the test environment.

JusDB's PostgreSQL Testing Framework provides automated testing tools that compare behavior between PostgreSQL versions, helping identify compatibility issues before they impact production.

Phase 4: Production Upgrade Execution (1 Day to 1 Week)

With thorough testing complete, execute your production upgrade:

Pre-Upgrade Checklist:

• Verify complete, tested backups of all databases
• Confirm all stakeholders aware of maintenance window
• Ensure rollback procedures documented and understood
• Validate monitoring systems functioning properly
• Verify sufficient storage space for upgrade process

Execute Upgrade Procedure: Follow your documented upgrade procedure step-by-step. Don't improvise or skip validation steps, even if everything appears to be working.

Post-Upgrade Validation: Immediately after upgrading, execute validation checks:

-- Verify PostgreSQL version
SELECT version();

-- Check all databases accessible
SELECT datname FROM pg_database WHERE datallowconn = true;

-- Verify extensions loaded
SELECT extname, extversion FROM pg_extension;

-- Check for bloat and maintenance needs
VACUUM ANALYZE;

-- Update statistics
ANALYZE;

-- Rebuild indexes if necessary (especially after major version jumps)
REINDEX DATABASE database_name;

Application Smoke Testing: Execute critical functionality tests to ensure applications work properly with the upgraded database.

Monitor Performance: Watch database performance metrics closely for the first hours and days after upgrade. Compare against your baseline metrics to identify any regressions.

Phase 5: Post-Upgrade Optimization (1-2 Weeks)

Upgrading is just the beginning—optimize your new PostgreSQL installation:

Configuration Tuning: Review and optimize PostgreSQL configuration parameters for your workload and the new version's capabilities. Many parameters have different optimal values in newer versions.

Leverage New Features: Investigate new features in your target version that could improve performance or functionality. For example, PostgreSQL 16 introduces significant improvements to parallel query execution and VACUUM operations.

Update Monitoring: Adjust monitoring thresholds and dashboards to account for behavioral differences in the new version.

Document Changes: Update operational documentation to reflect the new PostgreSQL version, any configuration changes, and lessons learned during the upgrade.

Plan for Continuous Improvement: Use insights from this upgrade to improve processes and procedures for future database maintenance.

Critical Pre-Upgrade Checklist

Before executing your PostgreSQL 13 upgrade, verify you've addressed these critical items:

Extension and Tool Compatibility

-- Check installed extensions and versions
SELECT 
    e.extname AS extension_name,
    e.extversion AS current_version,
    n.nspname AS schema
FROM pg_extension e
JOIN pg_namespace n ON e.extnamespace = n.oid
WHERE e.extname != 'plpgsql'
ORDER BY e.extname;

Research compatibility for each extension with your target PostgreSQL version. Some extensions may require updates before or after the PostgreSQL upgrade.

Deprecated Feature Usage

Review PostgreSQL release notes for deprecated or removed features between version 13 and your target version. Search your codebase for usage of any deprecated functionality.

Common areas to check include:

• Obsolete configuration parameters
• Changed function signatures or behavior
• Removed or renamed system catalogs
• Modified SQL syntax or semantics

Backup Verification

Don't just create backups—verify them:

-- Test backup by restoring to test environment
pg_restore --list backup.dump  -- Verify backup contents

Confirm you can actually restore from your backups in a test environment before upgrading production. A backup you can't restore is worthless.

Storage and Resource Planning

Ensure adequate resources for your upgrade method:

• pg_dump/restore: Space for complete database dump plus new database installation
• pg_upgrade with --link: Same filesystem for old and new data directories
• pg_upgrade with --copy: Space for complete copy of all data
• Logical replication: Infrastructure for second database instance

Real-World Migration Timeline and Effort Estimates

Understanding realistic timelines helps with planning and resource allocation. Here are typical timeframes based on database size and complexity:

Small Database (Under 100 GB)

• Assessment: 1-2 days
• Planning: 3-5 days
• Testing: 1 week
• Execution: 4-8 hours
• Total Project: 2-3 weeks

Medium Database (100 GB - 1 TB)

• Assessment: 3-5 days
• Planning: 1 week
• Testing: 2-3 weeks
• Execution: 1-2 days
• Total Project: 4-6 weeks

Large Database (Over 1 TB)

• Assessment: 1 week
• Planning: 2 weeks
• Testing: 3-4 weeks
• Execution: 3-7 days
• Total Project: 8-12 weeks

These timeframes assume dedicated resources and no major complications. Complex environments with many dependencies, custom extensions, or unique requirements may require additional time.

Special Considerations for AWS RDS PostgreSQL 13

If you're running PostgreSQL 13 on Amazon RDS, you have some unique considerations and options.

Extended Support Option

AWS offers Extended Support for RDS PostgreSQL 13 beyond the community EOL date, providing up to three additional years of critical security patches and bug fixes. However, Extended Support comes with significant additional costs that can make it more expensive than upgrading.

Extended Support may be appropriate if you:

• Have strict recertification requirements for applications
• Need time to complete complex application modernization
• Are coordinating database upgrades with other major changes
• Face regulatory or contractual constraints on system changes

For most organizations, upgrading to a supported PostgreSQL version represents better value than paying for Extended Support. Use the AWS Pricing Calculator to estimate Extended Support costs and compare against upgrade project costs.

RDS-Specific Upgrade Features

Amazon RDS provides some advantages for PostgreSQL upgrades:

• Automated Minor Version Updates: RDS can automatically apply minor version updates during maintenance windows
• Blue-Green Deployments: RDS supports blue-green deployments natively for major version upgrades
• Read Replica Promotion: Upgrade read replicas first, test thoroughly, then promote to primary
• Snapshot-Based Testing: Create snapshots, restore to test instances, and test upgrades without affecting production

JusDB's AWS RDS PostgreSQL Migration Service specializes in cloud-hosted PostgreSQL upgrades, leveraging AWS-specific features to minimize downtime and risk.

Common PostgreSQL Upgrade Pitfalls and How to Avoid Them

Learn from the mistakes of others by avoiding these common upgrade issues:

Insufficient Testing

The most common cause of upgrade failures is inadequate testing. Don't rush through the testing phase. Invest time in comprehensive testing with production-like data volumes and workloads. The bugs you don't find in testing become production incidents.

Ignoring Performance Validation

Some organizations upgrade successfully from a functionality perspective but discover significant performance regressions. Always benchmark performance before and after upgrades, and investigate any queries that become slower.

Overlooking Extension Dependencies

Extensions can cause upgrade failures if not properly managed. Some extensions must be updated before upgrading PostgreSQL, while others should be updated after. Research each extension's upgrade requirements carefully.

Inadequate Rollback Planning

Hope for the best but plan for the worst. Have tested, documented rollback procedures ready to execute if critical issues arise. Don't discover during a production incident that your rollback plan doesn't work.

Poor Communication

Upgrade failures often stem from coordination issues rather than technical problems. Ensure all stakeholders understand the upgrade timeline, their roles, and what to expect during the maintenance window.

Why Act Now Rather Than Waiting

With the November 13, 2025 deadline still several months away, you might be tempted to delay your PostgreSQL 13 upgrade. However, starting now provides several critical advantages:

Avoid the Rush

As the EOL deadline approaches, many organizations will simultaneously attempt to upgrade, creating resource contention for database consultants, support resources, and even infrastructure. Starting early means better access to expertise and support.

Time for Proper Testing

Rushing an upgrade increases the risk of overlooking critical issues. Starting now provides adequate time for thorough testing, including multiple test cycles if needed.

Flexibility for Unexpected Issues

Complex databases often reveal unexpected upgrade challenges. Starting early provides buffer time to address these issues without deadline pressure.

Take Advantage of New Features

The sooner you upgrade, the sooner you can leverage performance improvements and new features in PostgreSQL 14, 15, 16, or 17. These benefits compound over time.

Reduce Business Risk

Every day you run PostgreSQL 13 after November 13, 2025 increases your security risk, compliance exposure, and technical debt. Starting your upgrade project now means reaching a secure, supported state well before the deadline.

How JusDB Can Help Your PostgreSQL 13 Upgrade

At JusDB, we've helped hundreds of organizations successfully upgrade from end-of-life PostgreSQL versions to current, supported releases. Our expertise ensures your upgrade is smooth, secure, and optimized for your specific requirements.

Comprehensive Assessment

Our PostgreSQL Assessment Service provides detailed analysis of your PostgreSQL 13 environment including compatibility issues, performance baselines, dependency mapping, and recommended upgrade paths. We identify potential problems before they impact your project.

Customized Migration Planning

JusDB's Migration Planning Service develops detailed, customized upgrade strategies tailored to your environment, requirements, and constraints. We help you choose the right target version and upgrade method for your situation.

Automated Testing and Validation

Our PostgreSQL Testing Framework automates compatibility testing, performance validation, and functional verification, dramatically reducing the testing burden while increasing confidence in your upgrade.

Expert Migration Execution

Whether you prefer to execute migrations with our guidance or want our experienced PostgreSQL engineers to handle the entire process, JusDB's Managed Migration Service provides flexible engagement models that fit your needs.

Zero-Downtime Options

For mission-critical systems, JusDB's Zero-Downtime Migration Solutions implement advanced strategies using logical replication, blue-green deployments, and other techniques to upgrade with minimal business impact.

Post-Migration Optimization

Our relationship doesn't end when your upgrade completes. JusDB's Optimization Service helps you leverage new PostgreSQL features, tune performance, and ensure your upgraded database operates at peak efficiency.

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Take Action Today

The PostgreSQL 13 end-of-life deadline of November 13, 2025 is not negotiable. After this date, continuing to run PostgreSQL 13 exposes your organization to unpatched security vulnerabilities, missing bug fixes, compliance violations, and increasing technical debt.

The time to act is now—not in the weeks leading up to the deadline when you'll be rushed and under pressure. Starting your upgrade project today provides the time needed for proper planning, thorough testing, and confident execution.

Your Next Steps

1. Inventory Your Environment: Document all PostgreSQL 13 instances in your infrastructure
2. Assess Your Situation: Understand dependencies, compatibility issues, and upgrade requirements
3. Develop Your Plan: Choose target versions, upgrade methods, and timelines
4. Get Expert Help: Consider engaging PostgreSQL upgrade specialists to ensure success
5. Start Testing: Begin upgrade testing in non-production environments
6. Execute with Confidence: Upgrade production systems following your tested plan

Don't wait until it's too late. Contact JusDB today to schedule your free PostgreSQL 13 assessment and develop your upgrade strategy. Our team is ready to help you navigate this critical transition with confidence and minimal business disruption.

Get started with your PostgreSQL 13 upgrade today or email our team at postgresql@jusdb.com to discuss your specific situation.

Remember: The PostgreSQL community has provided five years of excellent support for version 13. Now it's your responsibility to ensure your databases continue receiving the protection, performance, and features they need by upgrading to a supported version before time runs out.

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About JusDB: JusDB is a leading provider of PostgreSQL and database modernization services. Our team of certified PostgreSQL experts has successfully executed thousands of database upgrades across organizations of all sizes, from startups to Fortune 500 enterprises. We specialize in making complex database migrations safe, fast, and predictable.

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