The evolution of Spot’s products has always been tightly aligned with our customers. Over the years, we’ve added integrations across the cloud stack, and developed new features that bring even more efficiency, automation and optimization to cloud infrastructure operations.

Being alerted to an issue with your application before your customers experience undue interruption is a goal of every development and operations team. While methods for identifying problems exist in many forms, including uptime checks and application tracing, alerts on logs is a prominent method for issue detection. Previously, Cloud Logging only supported alerts on error logs and log-based metrics, but that was not robust enough for most application teams.

More and more cloud providers are emerging and spreading their business across different regions in the current times. As a result, customers want to reduce their IT workload and migrate their product or application to a cloud-based environment. The primary reason behind this is that the cloud heavily reduces the overheads of investing in IT infrastructure, hardware upgrades, maintenance, etc.

AWS Step Functions is a powerful orchestration service that lets you model even the most complex business workflows. It packs a great visualization tool (which you can also use to design your workflows visually now!) and can integrate with many AWS services directly, including Lambda, DynamoDB, and API Gateway. It’s one of my favorite AWS services and I often use it to model complex or business-critical workflows.

Speaking with thousands of organizations adopting cloud computing, it’s clear that the preferred way to consume cloud, from infrastructure to platforms to applications, is “as a service”. Customers want fully managed services, with security and SLAs built in.