Implement AI-driven security analytics faster on Elastic Cloud Serverless, the easiest way to harness the innovations of Elastic Security Elastic Security on Elastic Cloud Serverless is now generally available. You can launch a deployment in minutes — no prior experience required. Serverless projects are fully managed, minimizing total cost of ownership (TCO) and providing immediate access to the powerful features of the Elastic Search AI Platform and Elastic Security.

Organizations whose IT infrastructure relies heavily on Microsoft will often adopt Azure Functions as part of their cloud modernization strategy. Azure Functions is an on-demand serverless solution that enables you to build and deploy event-driven code without worrying about provisioning and managing infrastructure. Azure Functions offers simplified development and deployment, automatic scaling, and seamless integration with other Azure services all within a cost-efficient pay-for-what-you-use model.

When working with Amazon Web Services (AWS), we often find that various AWS services need to store and manage secrets. AWS Secrets Manager is the go-to solution for this. It's a centralized service designed to help manage sensitive information securely, significantly reduce the risk of credential compromise, and facilitate your credential management process. However, there's more to it than just storing secrets.

Serverless functions such as AWS Lambda, Google Cloud Functions and Azure Functions are increasingly popular among DevOps teams, as these cloud-based systems allow developers to build and run applications without managing the underlying infrastructure. But for all their benefits, serverless functions can also raise cybersecurity risk.

Severless is excellent, right? Faster development and less infrastructure hassle – but those AWS Lambda costs can sneak up on you. Over 70% of AWS customers are using serverless now. Seems like everyone’s jumping on the serverless bandwagon – and for good reason. It speeds up development and cuts down on the nitty-gritty infrastructure stuff. All this is a developer’s dream in a lot of ways.

Serverless containers mark a notable evolution from traditional containerization. Traditional containers, being continuously active, can lead to resource wastage. Serverless containers, however, are ephemeral and operate on-demand. For developers, this means less time spent on server management and more on coding. Kubernetes, or K8s, stands out in automating, scaling, and managing these containerized applications.

Serverless architecture has increased in recent years, and is anticipated to grow by nearly 25% over the next decade, According to one source, the serverless architecture market was worth over $9 billion in 2022, with its compound annual growth rate projected to increase. The market could be worth over $90 billion by 2032. This indicates the immense amount of potential that this industry carries, influenced by the increasing adoption of DevOps by organizations.

Time, cost, and quality – hitting this trifecta is the ultimate goal of any software organization. Its pursuit over decades has resulted in multiple application development methodologies like serverless computing, an emerging and popular cloud computing model touted as the future. Nearly 70% of organizations will increase their usage of serverless computing by 2025.