2021 is set to be the year of hybrid cloud. In fact, Forbes has even listed it as one of the top 10 digital transformation trends of the year, declaring it the “winning enterprise architecture.” A multiple cloud approach does provide greater choice and greater flexibility – two major benefits at a time when agility and adaptability have never been more important. But this approach comes with greater operational complexity.
Each day, more and more companies consider opting for cloud-based solutions, and they almost always end up adopting them to some extent. While the increasing popularity of cloud services may be a significant factor in accelerating the adoption rate of cloud-based solutions, some individuals remain skeptical of migrating their applications to the cloud due to unfamiliar territory.
Amazon Redshift is great for real-time querying, but it's not so great for handling your ETL pipeline. Fortunately, Xplenty has a highly workable solution. Xplenty can be used to offload ETL from Redshift, saving resources and allowing each platform to do what it does best: Xplenty for batch processing and Redshift for real-time querying. Redshift is Amazon’s data warehouse-as-a-service, a scalable columnar DB based on PostgreSQL.
Whether you're building a new application or adding new features to an existing application, it is worthwhile to reflect on the structure and design of what you're building. Not only does app architecture make the difference between a good app and an excellent app, but it can also either contribute to technical debt or mitigate it.
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.
