Systems | Development | Analytics | API | Testing

June 2024

Enhance User Scalability and Response Time | Cigniti's Cloud Performance Testing Services

A prominent utility provider faced challenges with client-facing applications, requiring assessing system capabilities under significant loads. Accommodating 50,000 concurrent users within an infrastructure reliant on SQL and IIS, the need for a robust yet cost-effective load-generation setup became paramount.

Amazon OpenSearch Ingestion Adds Support for Confluent Cloud as Source

Until recently, customers didn't have an easy way to send data from Confluent’s data streaming platform to Amazon OpenSearch. They had to either write custom code using AWS Lambda as an intermediary, refactor the HTTP Sink connector, or self-manage an old Elasticsearch connector version. Earlier this year, we announced the fully managed OpenSearch Sink connector, providing a seamless way to sink data from Confluent to Amazon OpenSearch.

Confluent Is Named Microsoft's 2024 OSS on Azure Global Partner of the Year

Confluent is thrilled to be named Microsoft’s 2024 OSS on Azure Global Partner of the Year. As a three-time Partner of the Year award winner, this recognition reflects our commitment to delivering outstanding open source-based applications and infrastructure solutions on Microsoft Azure.

AWS Regions: Build, Run, Scale on AWS with Koyeb

Today, we are announcing AWS regions on Koyeb for businesses. The fastest way to build, run, and scale your apps on AWS infrastructure. Over the last months, we've gotten more and more requests from businesses established on AWS to have a way to deploy Koyeb services on AWS infrastructure to: Our platform's core technology is cloud-agnostic and can be operated on top of anything, from high-performance bare metal servers to IaaS providers.

Volumes Technical Preview: Blazing-fast NVMe SSD for Your Data

Ready? Day three of Koyeb launch week is on! When you deploy your apps on Koyeb, your data is on ephemeral disks. While this works great for stateless applications, this is challenging for stateful workloads like databases. Just in time to save the day, we are launching the technical preview of Volumes! You can now use Volumes to persist data between deployments, restarts, and even when services are paused. We're gradually onboarding users to ensure the best experience for everyone.

GPUs Public Preview: Run AI workloads on H100, A100, L40S, and more

Welcome to day two of Koyeb launch week. Today we're announcing not one, but two major pieces of news: Our lineup ranges from 20GB to 80GB of vRAM with A100 and H100 cards. You can now run high-precision calculations with FP64 instructions support and a gigantic 2TB/s of bandwidth on the H100. With prices ranging from $0.50/hr to $3.30/hr and always billed by the second, you'll be able to run training, fine-tuning, and inference workloads with a card adapted to your needs.

Autoscaling GA: Scale Fast, Sleep Well, Don't Break the Bank

We are thrilled to kickstart this first launch week with autoscaling - now generally available! Our goal is to offer a global and serverless experience for your deployments. Autoscaling makes this vision a reality. Say goodbye to overpaying for unused resources and late-night alerts for unhealthy instances or underprovisioned resources! During the autoscaling public preview, we received key feedback around scaling factors.

Where Does Data Governance Fit Into Hybrid Cloud?

At a time when artificial intelligence (AI) and tools like generative AI (GenAI) and large language models (LLMs) have exploded in popularity, getting the most out of organizational data is critical to driving business value and carving out a competitive market advantage. To reach that goal, more businesses are turning toward hybrid cloud infrastructure – with data on-premises, in the cloud, or both – as a means to tap into valuable data.

Using Moesif, AWS, and Stripe to Monetize Your AI APIs - Part 1: Integrating The Platforms

As the wave of AI sweeps through the technology landscape, many have hopped on board. Interestingly enough, and often overlooked, is that many AI capabilities are served through APIs. Fancy user interfaces integrate with the actual mechanisms where the magic happens: the APIs. So, when generating revenue through AI platforms, the APIs drive the revenue.

AWS and Confluent: Meeting the Requirements of Real-Time Operations

As government agencies work to improve both customer experience and operational efficiency, two tools have become critical: cloud services and data. Confluent and Amazon Web Services (AWS) have collaborated to make the move to and management of cloud easier while also enabling data streaming for real-time insights and action. We’ll be at the AWS Public Sector Summit in Washington, DC on June 26-27 to talk about and demo how our solutions work together.

What to Look for in an Enterprise Infrastructure Service Provider

In the current constantly evolving hybrid cloud enterprise business environment, reliable and efficient infrastructure services for consulting, implementation and operations are critical for organizations to thrive. Whether you're a small startup or a large enterprise, choosing the right infrastructure services provider can significantly impact your operations, scalability, and overall success. Here’s what to look for in an enterprise infrastructure services provider.

What CXOs Should Learn from the Gartner Hype Cycle: AI, Clouds, Security and More

Making informed decisions on technology adoptions and ensuring the sustained growth and relevance of the organization in the market has never been more exciting than in the current times we live in. The Gartner hype cycle is a valuable tool in this pursuit with all its insights into the timing, adoption, and potential benefits of various technologies.

Develop a Serverless TypeScript API on AWS ECS with Fargate

AWS Fargate is a serverless compute engine that allows you to run containers without managing servers. With Fargate, you no longer have to provision clusters of virtual machines to run ECS containers: this is all done for you. Fargate has an Amazon ECS construct that can host an API. In this take, we will build a Fargate service using the AWS CDK, put the API in a docker image, and then host it inside Amazon ECS. The API will be a pizza API and we'll store the data in a DynamoDB table.