#postgres in aws

[hackernewsrobot]

Neon: A serverless open-source alternative to AWS Aurora Postgres

https://github.com/neondatabase/neon

[bishhnubanerji]

Databricks to buy open-source database startup Neon for $1B

Data analytics platform Databricks said on Wednesday that it has agreed to acquire Neon, a startup building an open source alternative to AWS Aurora Postgres, for about $1 billion. Databricks said acquiring Neon’s tech would let it combine the startup’s serverless relational database management system with its own data intelligence services to let its customers deploy AI agents more…

[kamalkafir-blog]

Databricks to buy open-source database startup Neon for $1B

[TECH AND FINANCIAL] Data analytics platform Databricks said on Wednesday that it has agreed to acquire Neon, a startup building an open source alternative to AWS Aurora Postgres, for about $1 billion. Databricks said acquiring Neon’s tech would let it combine the startup’s serverless relational database management system with its own data intelligence services to let its customers deploy AI…

[isfeed]

Databricks to buy open-source database startup Neon for $1B

Data analytics platform Databricks said on Wednesday that it has agreed to acquire Neon, a startup building an open source alternative to AWS Aurora Postgres, for about $1 billion. Databricks said acquiring Neon’s tech would let it combine the startup’s serverless relational database management system with its own data intelligence services to let its customers […] Source: TechCrunch Databricks…

[techexperttutorials]

AWS RDS Aurora Postgres Database Setup: Create/Drop using Python Script

[learning-code-ficusoft]

Hosting Options for Full Stack Applications: AWS, Azure, and Heroku

Introduction

When deploying a full-stack application, choosing the right hosting provider is crucial. AWS, Azure, and Heroku offer different hosting solutions tailored to various needs. This guide compares these platforms to help you decide which one is best for your project.

1. Key Considerations for Hosting

Before selecting a hosting provider, consider: ✅ Scalability — Can the platform handle growth? ✅ Ease of Deployment — How simple is it to deploy and manage apps? ✅ Cost — What is the pricing structure? ✅ Integration — Does it support your technology stack? ✅ Performance & Security — Does it offer global availability and robust security?

2. AWS (Amazon Web Services)

Overview

AWS is a cloud computing giant that offers extensive services for hosting and managing applications.

Key Hosting Services

🚀 EC2 (Elastic Compute Cloud) — Virtual servers for hosting web apps 🚀 Elastic Beanstalk — PaaS for easy deployment 🚀 AWS Lambda — Serverless computing 🚀 RDS (Relational Database Service) — Managed databases (MySQL, PostgreSQL, etc.) 🚀 S3 (Simple Storage Service) — File storage for web apps

Pros & Cons

✔️ Highly scalable and flexible ✔️ Pay-as-you-go pricing ✔️ Integration with DevOps tools ❌ Can be complex for beginners ❌ Requires manual configuration

Best For: Large-scale applications, enterprises, and DevOps teams.

3. Azure (Microsoft Azure)

Overview

Azure provides cloud services with seamless integration for Microsoft-based applications.

Key Hosting Services

🚀 Azure Virtual Machines — Virtual servers for custom setups 🚀 Azure App Service — PaaS for easy app deployment 🚀 Azure Functions — Serverless computing 🚀 Azure SQL Database — Managed database solutions 🚀 Azure Blob Storage — Cloud storage for apps

Pros & Cons

✔️ Strong integration with Microsoft tools (e.g., VS Code, .NET) ✔️ High availability with global data centers ✔️ Enterprise-grade security ❌ Can be expensive for small projects ❌ Learning curve for advanced features

Best For: Enterprise applications, .NET-based applications, and Microsoft-centric teams.

4. Heroku

Overview

Heroku is a developer-friendly PaaS that simplifies app deployment and management.

Key Hosting Features

🚀 Heroku Dynos — Containers that run applications 🚀 Heroku Postgres — Managed PostgreSQL databases 🚀 Heroku Redis — In-memory caching 🚀 Add-ons Marketplace — Extensions for monitoring, security, and more

Pros & Cons

✔️ Easy to use and deploy applications ✔️ Managed infrastructure (scaling, security, monitoring) ✔️ Free tier available for small projects ❌ Limited customization compared to AWS & Azure ❌ Can get expensive for large-scale apps

Best For: Startups, small-to-medium applications, and developers looking for quick deployment.

5. Comparison Table

FeatureAWSAzureHerokuScalabilityHighHighMediumEase of UseComplexModerateEasyPricingPay-as-you-goPay-as-you-goFixed plansBest ForLarge-scale apps, enterprisesEnterprise apps, Microsoft usersStartups, small appsDeploymentManual setup, automated pipelinesIntegrated DevOpsOne-click deploy

6. Choosing the Right Hosting Provider

✅ Choose AWS for large-scale, high-performance applications.

✅ Choose Azure for Microsoft-centric projects.

✅ Choose Heroku for quick, hassle-free deployments.

WEBSITE: https://www.ficusoft.in/full-stack-developer-course-in-chennai/

[australiajobstoday]

Principal Data Engineer (DWH Data Warehouse, AWS Cloud Services, Data Ingestion, PySpark, EMR, Python and Cloud DB Redshift / Postgres)

Title: Principal Data Engineer About GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries make possible the technologies and systems that transform…

[aitoolswhitehattoolbox]

Principal Data Engineer (DWH Data Warehouse, AWS Cloud Services, Data Ingestion, PySpark, EMR, Python and Cloud DB Redshift / Postgres)

Title: Principal Data Engineer About GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries make possible the technologies and systems that transform…

[codeonedigest]

https://codeonedigest.blogspot.com/2023/07/create-aws-ec2-instance-install.html

[parasitic-inductance]

TERM GOALS

PERSONAL PROJECTS

websites projects : MERN stack also subbing Mongo DB for MySQL, Postgres, Oracle

android : 1 to 2 android projects

ios : wouldn't mind doing 1 (BUT I DON'T HAVE PERSONAL MAC OS at disposal)

DAILY LEETCODE

be a leetcode master by the end

basically Grind75/neetcode.io for 16 weeks during the internship...

ML/AI Learning?

AWS AI DeepRacer thing

Kaggle ML projects

Cybersecurity Basics...

i have a book :/

CTF (would be fun!)

[saifosys]

Sonarqube Setup with Postgresql

sonarqube installation along with java 17 Postgresql Database Prerequisites Need an AWS EC2 instance (min t2.small)  Install Java 17 (openjdk-17) apt-get update apt list | grep openjdk-17 apt-get install openjdk-17-jdk -y Install & Setup Postgres Database for SonarQube Source: https://www.postgresql.org/download/linux/ubuntu/ Install Postgresql database Import the repository signing…

[rahul-tech]

Neon Database: A Postgres Revolution in the Cloud

In a clear sign that big tech giants are placing significant value on innovative database technologies, Neon, a startup pioneering an open-source alternative to the ubiquitous AWS Aurora Postgres, has secured a substantial $25 million strategic investment from Microsoft’s venture capital arm, M12. This investment is a testament to the growing prominence of Neon and its potential to reshape the…

[newtglobal]

The Ultimate Guide to Migrating from Oracle to PostgreSQL: Challenges and Solutions

Challenges in Migrating from Oracle to PostgreSQL

Migrating from Oracle to PostgreSQL is a significant endeavor that can yield substantial benefits in terms of cost savings, flexibility, and advanced features. Understanding these challenges is crucial for ensuring a smooth and successful transition. Here are some of the essential impediments organizations may face during the migration:

1. Schema Differences

Challenge: Oracle and PostgreSQL have different schema structures, which can complicate the migration process. Oracle's extensive use of features such as PL/SQL, packages, and sequences needs careful mapping to PostgreSQL equivalents.

Solution:

Schema Conversion Tools: Utilize tools like Ora2Pg, AWS Schema Conversion Tool (SCT), and EDB Postgres Migration Toolkit to automate and simplify the conversion of schemas.

Manual Adjustments: In some cases, manual adjustments may be necessary to address specific incompatibilities or custom Oracle features not directly supported by PostgreSQL.

2. Data Type Incompatibilities

Challenge: Oracle and PostgreSQL support diverse information sorts, and coordinate mapping between these sorts can be challenging. For illustration, Oracle's NUMBER information sort has no coordinate identical in PostgreSQL.

Solution:

Data Type Mapping: Use migration tools that can automatically map Oracle data types to PostgreSQL data types, such as PgLoader and Ora2Pg.

Custom Scripts: Write custom scripts to handle complex data type conversions that are not supported by automated tools.

3. Stored Procedures and Triggers

Challenge: Oracle's PL/SQL and PostgreSQL's PL/pgSQL are similar but have distinct differences that can complicate the migration of stored procedures, functions, and triggers.

Solution:

Code Conversion Tools: Use tools like Ora2Pg to convert PL/SQL code to PL/pgSQL. However, be prepared to review and test the converted code thoroughly.

Manual Rewriting: For complex procedures and triggers, manual rewriting and optimization may be necessary to ensure they work correctly in PostgreSQL.

4. Performance Optimization

Challenge: Performance tuning is essential to ensure that the PostgreSQL database performs as well or better than the original Oracle database. Differences in indexing, query optimization, and execution plans can affect performance.

Solution:

Indexing Strategies: Analyze and implement appropriate indexing strategies tailored to PostgreSQL.

Query Optimization: Optimize queries and consider using PostgreSQL-specific features, such as table partitioning and advanced indexing techniques.

Configuration Tuning: Adjust PostgreSQL configuration parameters to suit the workload and hardware environment.

5. Data Migration and Integrity

Challenge: Ensuring data judgment during the migration process is critical. Huge volumes of information and complex information connections can make data migration challenging.

Solution:

Data Migration Tools: Use tools like PgLoader and the data migration features of Ora2Pg to facilitate efficient and accurate data transfer.

Validation: Perform thorough data validation and integrity checks post-migration to guarantee that all information has been precisely exchanged and is steady.

6. Application Compatibility

Challenge: Applications built to interact with Oracle may require modifications to work seamlessly with PostgreSQL. This includes changes to database connection settings, SQL queries, and error handling.

Solution:

Code Review: Conduct a comprehensive review of application code to identify and modify Oracle-specific SQL queries and database interactions.

Testing: Implement extensive testing to ensure that applications function correctly with the new PostgreSQL database.

7. Training and Expertise

Challenge: The migration process requires a deep understanding of both Oracle and PostgreSQL. Lack of expertise in PostgreSQL can be a significant barrier.

Solution:

Training Programs: Invest in training programs for database administrators and developers to build expertise in PostgreSQL.

Consultants: Consider hiring experienced consultants or engaging with vendors who specialize in database migrations.

8. Downtime and Business Continuity

Challenge: Minimizing downtime during the migration is crucial for maintaining business continuity. Unexpected issues during migration can lead to extended downtime and disruptions.

Solution:

Detailed Planning: create a comprehensive migration plan with detailed timelines and possibility plans for potential issues.

Incremental Migration: Consider incremental or phased migration approaches to reduce downtime and ensure a smoother transition.

Elevating Data Operations: The Impact of PostgreSQL Migration on Innovation

PostgreSQL Migration not only enhances data management capabilities but also positions organizations to better adapt to future technological advancements. With careful management of the PostgreSQL migration process, businesses can unlock the full potential of PostgreSQL, driving innovation and efficiency in their data operations. From Oracle to PostgreSQL: Effective Strategies for a Smooth Migration Navigating the migration from Oracle to PostgreSQL involves overcoming several challenges, from schema conversion to data integrity and performance optimization. Addressing these issues requires a combination of effective tools, such as Ora2Pg and AWS SCT, and strategic planning. By leveraging these tools and investing in comprehensive training, organizations can ensure a smoother transition and maintain business continuity. The key to victory lies in meticulous planning and execution, including phased migrations and thorough testing. Despite the complexities, the rewards of adopting PostgreSQL- cost efficiency, scalability, and advanced features far outweigh the initial hurdles. Thanks For Reading

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