Operations | Monitoring | ITSM | DevOps | Cloud

I was speaking with a VP of Engineering friend at last year’s KubeCon about how to pitch Kubernetes to the C-Suite. The benefits for innovation were clear - containerized microservices empowered her small teams to deliver more value, more rapidly. As is often the case with Boardroom discussions, though, the question of cost was always next. Sure, they want you to innovate - as long as it’s within the constraints of a budget! But cost discussions around Kubernetes can be difficult.

To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and the function execution elapse time which is rounded up to 100ms.

Minimizing costs, reducing risk, and maximizing business value—all at the same time—requires a delicate balancing act. It’s not a new challenge, nor is it unique to IT infrastructures. But when it comes to the cloud, especially in hybrid cloud scenarios, it requires you to understand the performance, risk/compliance, and cost impacts of your current resource allocations and then adjust to maintain the optimal decisions to meet your SLA and budget targets.

There has been increasing buzz in the past decade about the benefits of using a microservice architecture. Let’s explore what microservices are and are not, as well as contrast them with traditional monolithic applications. We’ll discuss the benefits of using a microservices-based architecture and the effort and planning that are required to transition from a monolithic architecture to a microservices architecture.

At Grafana Labs, we’re big fans of putting ourselves in the shoes of our customers. So when it comes to building a product, dogfooding is a term we throw around constantly. In short, what it means is that we actually use the products we create throughout their entire life cycle. And I really mean the whole life cycle.

We discuss quite a bit about going serverless for SMEs and startups, however it’s often those with an already huge infrastructure, such as enterprises, that can find the move and change daunting. We see many companies from the likes of Coca-Cola to Netflix managing it but what does it look like in action? In this article, we share some best practices and insights on the serverless designs that can scale massively and represent enterprise models.

If you’re the chief IT executive of a Fortune 500 company right now, all eyes are on you. You need to be the hero, the light in the gloom, the one to deliver your company from the brink of economic disaster in a year like no other. If you’re Rob Carter, Executive VP of Information Services at FedEx, you’ve been working toward this moment for years. Carter was the keynote speaker at the Enterprise IT Virtual Event on July 23, hosted by Data Center Knowledge.

At Taloflow, we’re proud to introduce to you our newest partner, Xosphere. The Xosphere™ Instance Orchestrator™ intelligently manages AWS Spot instances to give your applications 100% reliability at a fraction of the EC2 cost. Customers of Taloflow can use Xosphere in conjunction with Taloflow’s services to seamlessly identify candidates for Spot Management and monitor improvements in EC2 efficiency.

Cloud computing is a foundational platform for modern businesses, enabling digital transformation and supporting organizational agility. The benefits of putting applications in the cloud are well documented: flexibility, scalability, and reliability with a lower capex investment.