𝗜𝘀 𝘆𝗼𝘂𝗿 𝗗𝘆𝗻𝗮𝗺𝗼𝗗𝗕 𝘀𝗹𝗼𝘄 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗡𝗼𝗱𝗲.𝗷𝘀 𝗘𝘅𝗽𝗿𝗲𝘀𝘀 𝗔𝗣𝗜? 𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝘁𝗼 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗶𝘁! 🚀 If you're experiencing sluggish DynamoDB performance, especially when calling it from an Express Node API, you don’t need to switch to another database right away. 𝗕𝗲𝗳𝗼𝗿𝗲 𝗺𝗮𝗸𝗶𝗻𝗴 𝗱𝗿𝗮𝘀𝘁𝗶𝗰 𝗰𝗵𝗮𝗻𝗴𝗲𝘀, 𝘁𝗿𝘆 𝘁𝗵𝗲𝘀𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘁𝗶𝗽𝘀: 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗤𝘂𝗲𝗿𝗶𝗲𝘀: Use Query instead of Scan and leverage secondary indexes to reduce unnecessary data reads. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗖𝗮𝗽𝗮𝗰𝗶𝘁𝘆: Ensure sufficient read/write throughput or switch to On-Demand Capacity for dynamic scaling. 𝗥𝗲𝗱𝘂𝗰𝗲 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗟𝗮𝗺𝗯𝗱𝗮: Avoid cold starts by allocating more memory or using Provisioned Concurrency. Ensure VPC endpoints are in place. 𝗖𝗮𝗰𝗵𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿: Use DAX or external caches like Redis to reduce load and speed up responses. 𝗕𝗮𝘁𝗰𝗵 𝗮𝗻𝗱 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹𝗶𝘇𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Use BatchGetItem and async operations in Node.js to fetch multiple records simultaneously. 𝗞𝗲𝗲𝗽-𝗔𝗹𝗶𝘃𝗲 𝗶𝗻 𝗔𝗪𝗦 𝗦𝗗𝗞: Enable HTTP keep-alive to reuse connections and reduce API call overhead. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗼𝗻 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀: Only fetch the attributes you need to avoid large payloads. With these optimizations, you’ll improve your DynamoDB performance without the need for drastic changes! Have you encountered DynamoDB performance issues? Share your thoughts in the comments! #DynamoDB #NodeJS #AWS #APIs #PerformanceOptimization
Centizen, Inc.’s Post
More Relevant Posts
-
Software Engineer | Full-Stack Developer | .NET Core | .NET | C# | Cloud | Azure | Azure DevOps | Microservices | Angular | 8x Microsoft Certified
Azure Cosmos DB is a globally distributed database service that offers high availability, global distribution, automatic scalability and support for multi-data models. Entity Framework Core is an ORM (object-relation mapping) that allows you to work with databases in a .NET application. In this article, I present how to use Entity Framework Core with a NoSQL database in Azure Cosmos DB, using a .NET Web API. https://lnkd.in/ePSJ-Hwf #cosmosDb #azure #azureCosmosDb #database #noSql #efCore #dotNet #webApi #microsoft #cloud
Azure Cosmos DB — Using EF Core with a NoSQL Database in a .NET Web API
henriquesd.medium.com
To view or add a comment, sign in
-
Kick off with the #AzureCosmosDB for #NoSQL Node.js library! Query data, handle items, and deploy quickly with the Azure Developer CLI. Just follow these easy steps. 🚀 https://lnkd.in/edthwZSC
Quickstart - Node.js client library - Azure Cosmos DB for NoSQL
learn.microsoft.com
To view or add a comment, sign in
-
This blog will show you how to easily set up #CDC from your AWS #DynamoDB database to SingleStore using DynamoDB streams and a #Lambda function. https://lnkd.in/e6EyNTN5
CDC Data From DynamoDB to SingleStore Using DynamoDB Streams | Real-Time Analytics Database
singlestore.com
To view or add a comment, sign in
-
Is now a good time to think about a switch to NoSql? It's definitely the time to think about your deployment strategy if you're going to migrate from v1 to v2.
AWS to Shut Down Aurora Serverless v1, Their Sole Relational Database with Scaling Capacity to Zero
infoq.com
To view or add a comment, sign in
-
https://zurl.co/Ruc7 Optimizing MongoDB Checkpointing for Performance #MongoDB #DBA #DBATips #MongoDBTricks #MongoDBPerformance
Optimizing MongoDB Checkpointing for Performance - MongoDB
https://minervadb.xyz
To view or add a comment, sign in
-
Do you know Stripe processed $1T in payments with 99.999% uptime in 2023 using DocDB, built on MongoDB Community? 💡 Handling 5M+ queries/sec, MongoDB ensures real-time data management at scale. Discover more from Stripe’s Engineering blog! ⬇️ https://lnkd.in/ggJD599r #mongodb #stripe
How Stripe’s document databases supported 99.999% uptime with zero-downtime data migrations
stripe.com
To view or add a comment, sign in
-
Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock Foundational models (FMs) use Retrieval Augmented Generation (RAG) to augment capabilities for specific domains without retraining. Knowledge Bases for Amazon Bedrock now integrates MongoDB Atlas as a vector store, enabling secure connections from private data sources to FMs. The setup process includes configuring MongoDB Atlas, creating indexes, and synchronizing data sources. RAG applications, integration with applications, and considerations for deployment are also outlined. The integration is available in the US East (N. Virginia) and US West (Oregon) Regions.
Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock Foundational models (FMs) use Retrieval Augmented Generation (RAG) to augment capabilities for specific domains without retraining. Knowledge Bases for Amazon Bedrock now integrates MongoDB Atlas as a vector store, enabling secure connections from private data sources to FMs. The setup process incl...
aws.amazon.com
To view or add a comment, sign in
-
Founder CEO of #MinervaDB #ChistaDATA #MySQL #PostgreSQL #RocksDB #InnoDB #MariaDB #ClickHouse #NoSQL #MongoDB #Linux #Entreprenuer #Investor #Startup #OpenSource #Analytics #SRE #AI #ML #DevOps #OLTP #OLAP #SQL
https://zurl.co/Ruc7 Optimizing MongoDB Checkpointing for Performance #MongoDB #DBA #DBATips #MongoDBTricks #MongoDBPerformance
Optimizing MongoDB Checkpointing for Performance - MongoDB
https://minervadb.xyz
To view or add a comment, sign in
-
💡 Query performance is a crucial factor in deciding which database and ORM to use! 📊 To help you make an informed decision for your next project, we created open-source benchmarks that compare query latency across Prisma ORM, Drizzle ORM, and TypeORM using PostgreSQL databases hosted on Amazon Web Services (AWS), Neon, and Supabase. 🚀 Check out the results and read our blog post, where we describe our benchmarking methodology, summarise the results, and give you a checklist of recommendations for making sure your database queries are at optimal speed! https://lnkd.in/eBKBCCSq
Performance Benchmarks: Comparing Query Latency across TypeScript ORMs & Databases
prisma.io
To view or add a comment, sign in
-
Refreshing to see a set of benchmarks published by a vendor which actually take objectivity seriously, even when their product doesn't come out on top. All the ORMs under test have roughly comparable performance, with TypeORM having perhaps the slight overall edge. But I think Prisma is competing on the overall DX offered by their schema & codegen.
💡 Query performance is a crucial factor in deciding which database and ORM to use! 📊 To help you make an informed decision for your next project, we created open-source benchmarks that compare query latency across Prisma ORM, Drizzle ORM, and TypeORM using PostgreSQL databases hosted on Amazon Web Services (AWS), Neon, and Supabase. 🚀 Check out the results and read our blog post, where we describe our benchmarking methodology, summarise the results, and give you a checklist of recommendations for making sure your database queries are at optimal speed! https://lnkd.in/eBKBCCSq
Performance Benchmarks: Comparing Query Latency across TypeScript ORMs & Databases
prisma.io
To view or add a comment, sign in
30,101 followers