Systems | Development | Analytics | API | Testing

smartbear

Delivering scalable, serverless APIs with SmartBear and AWS

Jul 23, 2025 By Matthew Bonner In SmartBear
Amazon API Gateway and AWS Lambda are widely used for deploying and running scalable APIs or applications in the cloud. While they offer powerful capabilities for deploying and scaling APIs, designing the API or maintaining visibility into performance and reliability can be challenging without the right tools in place.
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perforce

We Stayed Up When AWS Went Down

Jul 21, 2025 By Perforce In Perforce
Amazon Web Services (AWS) had a well-documented failure of the S3 service in its US East region this week. The knock-on effects of the S3 outage took out many of Amazon’s other services and caused serious and long-lasting outages for many high-profile services including Quora, Trello, GitLab, and many others. Overall Amazon provides an outstanding set of services, and as anyone knows these things happen, the key is to architect your solution so that it can tolerate these kinds of failures.
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Confluent Cloud is now available in the new AWS Marketplace AI Agents and Tools category

Confluent Cloud is now available in the new AWS Marketplace AI Agents and Tools category

Jul 17, 2025 By Confluent In Confluent
Confluent announces the availability of Confluent Cloud in the new AI Agents and Tools category of AWS Marketplace. This enables AWS customers to easily discover, buy, and deploy AI agent solutions, including Confluent's fully managed data streaming platform Confluent Cloud, using their AWS accounts, for accelerating AI agent and agentic workflow development.
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confluent

Unlocking Real-Time Analytics on AWS With Tableflow, Apache Iceberg, and the AWS Glue Data Catalog

Jul 11, 2025 By Yashwanth Dasari In Confluent
In today's competitive landscape, data warehouses and data lakes are the essential platforms for business intelligence, analytics, and AI. While immensely powerful, these systems were traditionally designed for batch data processing, often leading to insights based on data that is hours or even days old. The primary challenge has always been the complexity of bridging the gap between real-time data streams, typically flowing through Kafka, and these analytical systems.
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confluent

Confluent and Amazon EventBridge for Broad Event Distribution

Jul 1, 2025 By Braeden Quirante In Confluent
Confluent has established itself as a leader in event streaming, providing not only a robust platform but also a rich portfolio of pre-built connectors. These connectors act as bridges, effortlessly channeling data between a multitude of systems, from databases and applications to cloud services. This extensive portfolio empowers users to weave together their data landscapes with remarkable ease and flexibility.
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integrate

AWS ETL Tools: Navigating the Modern Cloud Data Stack

Jun 27, 2025 By Donal Tobin In Integrate
In the last decade, AWS has redefined how businesses build data pipelines. Its ETL toolset isn’t just about moving datasets, it’s about orchestrating security, compliance, scale, and efficiency. Whether you're migrating legacy data systems or building modern ELT workflows, AWS offers a robust, versatile stack of services to meet virtually any requirement.
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kong

Kong's Dedicated Cloud Gateways: A Deep Dive

Jun 18, 2025 By Michael Field In Kong
In case you missed it, we recently made a big announcement around beta GCP support for Kong’s Dedicated Cloud Gateways (DCGWs). There’s a lot of good stuff in there, but TL;DR DCGWs now support all three of the major cloud service providers (CSPs): AWS, Azure, and GCP at a 99.95% SLA with support for over 25 regions around the globe. Being the first API management vendor to support managed gateway deployments with all three CSPs has a lot of folks excited, for obvious reasons.
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speedscale

What Are Cloud Development Environments?

Jun 11, 2025 By Josh Thornton In Speedscale
Especially, if you have a globally distributed team, CDEs give you a smoother developer experience just by its online nature. Instead of wrestling with conflicting dependencies, trudging with inconsistent local setups, or waiting for your code to compile, you have a powerful, instantly accessible development environment in the cloud. CDEs remove typical limitations like hardware and scalability. You can quickly get started with minimal setup and configuration, but confidently move forward due to the flexibility and customization features CDEs provide.
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