February 2024 Summaries

Koyeb has announced the general availability of its new core location in Singapore, expanding its serverless cloud platform to serve the Asia-Pacific region alongside existing locations in Washington, D.C., and Frankfurt, Germany. This expansion allows users to deploy full stack applications, AI workloads, APIs, and databases with low latency, leveraging features such as continuous deployment, a built-in edge network for seamless service-to-service communication, and real-time logs and metrics. The platform supports deployments via GitHub integration or Docker images, and offers a range of instance options, including cost-effective Eco Instances starting at $1.61 per month. Koyeb's infrastructure is built on high-performance bare metal servers and a custom serverless engine, ensuring optimized performance and efficient resource utilization. The introduction of Singapore as a deployment location addresses the demand for faster connectivity and reduced latency in the APAC region, providing businesses and developers with improved response times and an enhanced user experience.

Autoscaling is now in public preview, allowing users to dynamically adjust infrastructure based on demand by setting policies around requests per second, CPU usage, and memory consumption. This feature offers flexibility and control, enabling users to tailor autoscaling triggers to meet specific needs while managing costs through a simple slider for the maximum number of instances. It supports global deployments by allowing region-specific scaling policies, ensuring optimal performance and cost-efficiency. Autoscaling decisions are made every 15 seconds based on service metrics, with a one-minute cooldown window to stabilize changes. Users can initiate autoscaling via a command line interface (CLI) or control panel, and they can define policies based on multiple metrics. Improvements in the works include autoscaling visualization, scaling down to zero for cost savings, and policy assistance recommendations. The feature is intended to enhance the serverless experience by eliminating the need for manual infrastructure adjustments, and users can explore further details in the autoscaling documentation or join the community for updates.

E-commerce's rise in popularity has propelled platforms like Shopify to the forefront, providing businesses with tools to manage their online presence, and FoxSell enhances Shopify's ecosystem by offering apps that increase Average Order Value (AOV) through strategic product bundling. To optimize its operational capabilities, FoxSell migrated its entire infrastructure to Koyeb's serverless platform, which offers outstanding price performance, streamlined global deployments, and seamless migration with zero downtime. Utilizing a tech stack that includes Django, Celery, PostgreSQL, and MongoDB, FoxSell benefits from Koyeb's high-end bare metal servers and Firecracker microVMs, resulting in improved response times and cost efficiency. Koyeb's platform offers FoxSell a range of features, including multi-region deployments, managed PostgreSQL services, and eco-friendly instances, while also providing exceptional support through a private Slack channel, ensuring smooth and efficient operations. The migration to Koyeb allowed FoxSell to focus on innovation and growth rather than infrastructure management, leading to enhanced reliability and a seamless user experience for its global clientele.

The University of British Columbia's Housing Assessment Resource Tools (HART) initiative aims to tackle Canada's housing crisis by providing accessible government census data through intuitive tools and resources, aiding informed decision-making for governments, developers, and the public. Utilizing Koyeb, a managed infrastructure platform, HART efficiently deploys its web applications and services, including a WordPress site and a Python-based graph tool, to deliver high-performance access to their data-driven insights. The platform's GitHub integration facilitates seamless continuous delivery, allowing HART to manage code deployments with ease while maintaining both staging and production environments. By leveraging Dockerfiles and Koyeb's native buildpacks, HART ensures consistent Python versioning across deployments and benefits from a metrics dashboard to monitor service performance. The platform's infrastructure in Washington, D.C., optimizes request routing and allows HART to deliver its services with reliability and speed.