The world of DevOps is constantly evolving and adapting to the needs of the software development industry. With the increasing demand for faster and more efficient software delivery, organizations are turning to modern technologies and practices to help them meet these challenges. In a series of articles on the Kublr blog, we will take a look at some of today’s top DevOps trends.   


This week: Serverless Computing 


Serverless computing is a cloud computing model in which the cloud provider is responsible for managing and scaling the infrastructure, rather than the organization. Serverless is becoming an increasingly popular option for organizations looking to reduce costs and improve scalability.   

Key benefits of serverless computing:  

  • Cost efficiency: Serverless computing eliminates the need for reserved or dedicated infrastructure, which reduces the upfront costs of server infrastructure and maintenance. Instead, resources are only provisioned and charged on an as-needed basis, which can result in significant cost savings.  
  • Scalability: Serverless computing automatically scales resources based on demand, making it easy to accommodate spikes in traffic without the need for manual intervention. This also reduces the risk of resource overprovisioning, as resources are only provisioned as needed.  
  • Increased agility: Serverless computing enables faster and more efficient development and deployment, as it eliminates the need for managing and maintaining server infrastructure. This enables organizations to focus on delivering business value, rather than managing infrastructure.  
  • Improved security: Serverless computing is built on highly secure infrastructure provided by cloud providers, which reduces the risk of security vulnerabilities associated with managing and maintaining your own infrastructure. Additionally, serverless computing offers built-in security features, such as access control and data encryption, to further enhance security.  
  • Enhanced reliability: Serverless computing offers automatic failover and redundancy, as well as built-in monitoring and logging capabilities, which help to ensure high availability and reliability. This can help organizations to minimize downtime and improve the overall performance and reliability of their applications.  

However, there are some challenges to serverless computing that organizations need to keep in mind. One challenge is that serverless computing can result in slower response times for functions that are not frequently used because they need to be initialized each time they are executed. This can cause poor user experience and slow response times, especially for applications that require low latency. Another challenge is that serverless computing can make it difficult to debug and troubleshoot problems, as it operates on a stateless model and does not retain information from previous executions. This can make it hard to trace issues across functions and isolate problems.  


Kublr’s industry-leading platform enables you to deploy, run and manage reliable, secure. Kublr also offers DevOps Consulting and Managed K8s services.