The latest News and Information on Cloud monitoring, security and related technologies.
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 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.
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.
This is part of a series of articles discussing strategies to implement serverless architectural design patterns. We continue to follow this literature review. Although we use AWS serverless services to illustrate concepts, they can be applied in different cloud providers. In the previous article (Part 1) we covered the Aggregator and Data Lake patterns. In today’s article, we’ll continue in the Orchestration & Aggregation category covering the Fan-in/Fan-out and Queue-based load leveling.
