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Today’s organizations face major challenges in effectively deploying and managing their online services, applications, and websites. In recent years, with interest in infrastructure technologies such as Kubernetes and Docker surging, container orchestration solutions have emerged as a core technology to help overcome challenges and move to a more modern approach.

Adopting a public cloud platform like AWS has many benefits, but the process of moving your existing automation capabilities between on-prem and the cloud can present challenges and make it difficult to take full advantage of cloud. In fact, in a recent survey conducted by Puppet, we learned that many Puppet users are significantly influencing their organizations’ cloud migration planning, indicating that Puppet can play a key role in cloud migration.

All Cloud providers such as AWS, Azure, Google Cloud Platform, and Oracle Cloud offer Object Storage solutions to economically store large volumes of data and retrieve it on demand. It’s far cheaper to store one petabyte of data in object storage than in block storage. As AWS S3 has become the standard, many on-premise storage appliance vendors have incorporated S3 APIs to store and retrieve data. Oracle wisely continued that trend to OCI (Oracle Cloud Infrastructure).

The best budgets aren't roadblocks. They're guardrails: boundaries for quick, collaborative work. Historically, when finance and engineering teams have discussed cloud cost, they’ve run into an obstacle: They don’t speak the same language. At the end of each month, finance gets an ever-changing cloud bill, and engineering explains that, whatever the total, it represents what they need to do their work. Stalemate.

Serverless has become an increasingly popular paradigm among organizations looking to modernize their applications as it allows them to increase agility while reducing their operational overhead and costs. But the highly distributed nature of serverless architectures requires developers to rethink their approach to application design and development. AWS-based serverless applications hinge on AWS Lambda functions, which are stateless and ephemeral by design.

In a previous article, we talked about how you could use BAM to do advanced management of dead lettered messages on the Azure Service Bus using a scenario like below. This article will show how you can set up this kind of example. Let’s assume your Order Processing functions are already in place, and your starting point is that sometimes you will get dead-lettered messages, and we need to implement the Send message to the BAM logic app and configure Serverless360.