As we discussed in Firecracker MicroVMs: Lightweight Virtualization for Containers and Serverless Workloads, Firecracker is a lightweight virtual machine monitor (VMM) that uses Linux kernel-based virtual machines (KVM) to provision and manage lightweight virtual machines (VMs), also known as microVMs. Without further ado, here is a list of the top ten reasons why we love Firecracker.
AWS provides many solutions for managing business data. There’s Amazon Relational Database, or Amazon RDS, which is ideal for scaling your databases on the cloud. There’s Amazon Redshift for warehousing your data. For collecting big data, we’ve looked at a number of modern data integration platforms, but Amazon CloudFront is more of a content delivery platform. So, why are we talking about CloudFront in terms of big data right now?
The past 10 months have accelerated the race to cloud. That’s all the more reason to pause and check that you’re moving in the right direction. Cloud migration these days is something of a no-brainer. For most businesses, it’s no longer a question of whether to migrate to cloud. The real issues are around the how, when, what, where and even the why of cloud.
The world of automation testing is rapidly evolving and we need to keep up with the pace. It’s no rocket science that the demand for automation testing is massive — according to Markets & Markets, the automation testing market size is projected to grow from $12.6B to $28.8B by 2024, globally. For businesses to be more agile and work with an unmatchable speed, cloud testing is crucial.
Snowflake met with Jan Doumen, Head of Expertise for Allianz Benelux, and Naveed Memon, Program Director, Data and Analytics for Emirates, at Data Cloud Summit 2020. Read excerpts from the conversation to learn how capturing data insights in the Data Cloud brings value to their businesses. Data’s value in the 21st century is often compared to oil’s value in the 18th century. It can transform organizations, opening doors to unprecedented opportunities.
Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.
When creating new cloud-native applications, developers need to choose the development and deployment methods that best serves their application's needs and purpose. At the same time, organizations are always looking to optimize their cloud budgets and efficiency. Two popular deployment strategies are Function as a Service (FaaS) and Container as a Service (CaaS). Perhaps you've heard about them!
