Software vendors need to decide for a suitable target platform, if they want to offer their product as Software-as-a-Service (SaaS) in the Cloud as well as for self-hosting on-premises. Today it is likely that a large portion of on-premises customers are already running Kubernetes clusters. In this article, we’ll take a look at how SaaS providers can benefit from an open source Kubernetes distribution maintained by AWS.
As the industry moves towards DevOps, full-stack, and Serverless, there is a responsibility for the application team to do everything. Every data service will now start to claim serverless. Let’s explore the seven tenets of serverless data and hopefully provide some guidance about data in a serverless architecture.
Established software vendors increasingly want to offer their product portfolio as a software-as-a-service (SaaS) solution. However, parallel development for on-premises and cloud deployments poses challenges. This article shows how vendors can standardize environments using container platforms in order to reduce costs for delivery and operations of SaaS in hybrid scenarios.
What is Azure Spring Cloud and what can it do? Let's take a closer look at Spring Cloud. The framework allows developers to add cloud patterns and connections to cloud infrastructures in their Spring application.
Serverless Architecture Conference 2022 in The Hague has been a blast with a lot of amazing speakers! One of them was Eric Newcomer (WSO2), who has more than 35 years of industry experience. We've recorded his keynote talk to offer you a few glimpses of the Conference.
For anyone dealing with the topic of the cloud, Kubernetes is a household name. But if you ask about other cloud platforms, it gets more difficult. In this article, we’ll take a look at using Cloud Foundry as an alternative, and find out if it holds a candle to Kubernetes.
Managing hundreds, or sometimes thousands of microservices with constantly changing configurations for CI/CD chains is a nearly impossible task for many platform teams. The following article takes a closer look at AWS Proton, a fully managed service for rolling out container and serverless applications. The first part of this article series was on application management with AWS Proton, and provided an initial overview of the service and the different views of infrastructure and application in the context of Proton. In the second part, we will focus more on technical aspects, especially templates.
Managing hundreds - or sometimes even thousands - of microservices with constantly changing configurations for CI/CD chains is for many platform teams nearly impossible. This article takes a closer look at AWS Proton, a fully managed service for deploying container and serverless applications. The first part of this series provides an overview of the service; the second part will take a look at the technical details.
Cloud applications have been the talk of the town for several years now. Especially when it comes to cost reduction and more efficient use of available resources, the cloud is hard to beat. Its true potential only becomes apparent when cloud-optimized architectures and design patterns are used. This enables stable software to be developed and complex requirements to be broken down into small, manageable solutions. But this advantage comes at a price. Questions start to arise like: "How can services communicate with each other when systems fail?" and "How do I deal with peak loads?"
It’s been a few weeks since we wrapped up another great edition of the Serverless Architecture Conference but we still remember the amazing talks! One of them was Gareth McCumskey's keynote, “Why local development for serverless is an anti-pattern”, where he argues that in the serverless community, there is no need to waste a lot of time and effort building an environment that is a replica of the cloud.