Aptible’s Post

#QuestDB 7.4.2 is available on GitHub! In focus this week is the refinement of our updated ingestion clients. Built atop the InfluxDB Line Protocol (ILP) and leveraging HTTP instead of TCP, our clients and core database now offer a primary ingestion path that is robust, responsive and fast. New Features - Added bind variable support for long256 and IPv4 operators, milliseconds and microseconds support to datediff and dateadd. - Enabled FILL(LINEAR) to support ALIGN TO CALENDAR. Performance - Ingestion: Optimized data ingestion for tables with a large number of columns. - SQL: Faster SQL COPY and REST API CSV import, optimized binary search corner cases, and fixed the stuck parallel GROUP BY queries via better query timeout handling. #database #release #opensource #timeseries #data

"Empowering containerized environments with seamless log management using Telegraf, InfluxDB (Time-series Database), and Grafana. Transforming raw data into actionable insights for optimized system performance and unparalleled operational visibility. #Telegraf #InfluxDB #Grafana #kubernetes #DevOps "

Wondering how to migrate data from InfluxDB v2 to InfluxDB v3? Here's how to do it using the Quix template. https://bit.ly/3UfC1PK #InfluxDB #database

On December 7, I will present at DDD SEOUL on the topic of "Can't DB deployment be automated?" I will introduce how to manage and automate the configuration and deployment of database management codes such as changed DDL syntax and stored procedures like general programs, understand the build system structure of SQL Server and Microsoft, and build an automated deployment linked with GitHub Actions. https://lnkd.in/gnTPu84d #DDD2024 #DDD_SEOUL #DBOPS #DBRE #automation

TICK Stack with Docker Compose Example Find out how to set up a monitoring stack using the Tick stack with Docker Compose. Learn about the open-source tools and their role in processing time-series data. https://lnkd.in/ddtdfhwS

Introducing EfCoreCosmosMigrator, our open-source solution to enhance Entity Framework Core Cosmos DB integration. Currently, EFCore CosmosDB doesn't support migrations due to its schemaless nature. However, we needed a way to seed data into Cosmos, and update default data during development and production in a persistent manner as code. To address this, we created a simple migration engine that processes migrations from the project assembly, applies them in order, and logs them in a Cosmos migration table to prevent reapplication. Check out the repository: https://lnkd.in/eUFKW73a #EfCoreCosmosMigrator #OpenSource #EntityFrameworkCore #CosmosDB #DatabaseMigrations #Schemaless #DataSeeding #PersistentData #MigrationEngine #SoftwareDevelopment #TechInnovation #DevelopmentTools

🚀 Top 5 common ways to improve API performance: 🔍 Result Pagination: This method optimizes large result sets by streaming them back to the client, enhancing service responsiveness and user experience. 📝 Asynchronous Logging: By sending logs to a lock-free buffer and returning immediately, this approach avoids dealing with the disk on every call. Periodically flushing logs to the disk significantly reduces I/O overhead. 📦 Data Caching: Frequently accessed data can be stored in a cache to speed up retrieval. Clients check the cache before querying the database, with solutions like Redis offering faster access due to in-memory storage. 💡 Payload Compression: Requests and responses can be compressed (e.g., using gzip) to reduce data transmission time, making the upload and download processes quicker. 🔗 Connection Pooling: This technique manages database interaction by using a pool of open connections, reducing the overhead associated with opening and closing connections each time data needs to be loaded. The pool efficiently manages the lifecycle of connections for resource use. Over to you: What other methods do you use to enhance API performance? Follow Jignesh P. Join https://lnkd.in/euKkrbM #APIPerformance #ResultPagination #AsynchronousLogging #DataCaching #PayloadCompression #ConnectionPooling #TechOptimization #EfficiencyImprovement #jigneshthedeveloper #APIEfficiency #PaginationTechnique #AsyncLogging #CachedData #DataCompression #PoolingConnections #TechStreamlining #OptimizedPerformance

Let's talk about why #GraphQLFederation is transforming how we build APIs Federation enables true domain-driven design in #GraphQL. Teams can build subgraphs in different languages, contributing to a unified Supergraph while staying focused on their domain. Each subgraph is independent: • Deploy on their own schedule • Scale based on specific needs • Make schema changes autonomously No more waiting for other teams! For clients, it's simple - they just talk to one GraphQL Gateway. All the complexity of distributed systems is handled behind the scenes. Hive makes Federation even better: • Schema Registry • Real-time monitoring • Works with Apollo Router • Zero vendor lock-in Try it yourself: https://lnkd.in/dh9iKHjp

The v3 Go client library provides a useful and programmatic way to write and query data in InfluxDB. Developer Advocate Anais Dotis demonstrates how to get started using the newest Go client so you can do more with your data. https://bit.ly/3GmRYf9 #InfluxDB #database

Excited to share my latest article on Medium: "𝙈𝙤𝙣𝙜𝙤𝘿𝘽: 𝘼 𝘿𝙚𝙚𝙥 𝘿𝙞𝙫𝙚 𝙞𝙣𝙩𝙤 𝙩𝙝𝙚 𝙉𝙤𝙎𝙌𝙇 𝙍𝙚𝙫𝙤𝙡𝙪𝙩𝙞𝙤𝙣"! 🚀 In this article, I explore the transformative impact of MongoDB in the NoSQL landscape, highlighting its key features, advantages, and real-world applications. Whether you're a seasoned developer or just starting your journey, there's something valuable for everyone. 🌐💻 Check it out and let me know your thoughts! 🎨 #MongoDB #NoSQL #Database #TechInnovation #SoftwareDevelopment #BigData #Programming