Cloud-native is currently one of the biggest trends in software development. As companies scramble to migrate services to their own cumulus-inspired creations, the tech sector is learning more about the pros and cons of their new precious.
According to Stackify, cloud native computing uses an open-source software stack to be: containerized, dynamically orchestrated, and microservices-oriented. The strengths of cloud computing cannot be denied. They are usually self-contained, smaller-purpose applications which speeds up development and saves costs in implementation. They are elegant in their simplicity and tend to scale beautifully with the ebb and flow of user demand.
However, not every cloud comes with a rainbow. While building mini-apps has the advantage of a streamlined service, the complexity comes when trying to manage and monitor the distributed system of potentially dependent components. Those companies using public cloud services such as Amazon Web Services, Microsoft Azure or Google Cloud Platform stay flexible but may face other challenges associated with shared server space.
“The adoption of public cloud is absolutely critical for companies to remain agile. However, without the right verification tools, cloud deployments can lead to significant network problems that can put businesses at serious risk,” said James Brear, president and CEO of Veriflow.
Challenge accepted, Veriflow says. One company’s problem is another company’s opportunity and they are taking the opportunity to offer CloudPredict SaaS. Of their product, Brear stated that “[it’s] the first solution that provides networking teams with complete visibility and predictive verification of public cloud networks,” Problem solved, they say – or at least significantly mitigated.
According to Gartner report published in January, cloud-computing infrastructure and applications will absorb much of the $214 billion in enterprise software spending predicted for this year. Large, multi-cloud implementations are expected to exacerbate existing network problems and create new ones. Lack of visibility and non-compliance means business delays as beleaguered IT employees charged with herding cloud-cats across shared infrastructures attempt to address unspecified network problems.
“Public cloud adoption has gone mainstream with businesses operating around the globe” said Shamus McGillicuddy, research director at Enterprise Management Associates. “However, many organizations struggle to properly secure these public cloud architectures. The cloud often creates new vulnerabilities within the network. This can result in more frequent network security vulnerabilities, unexpected downtime and loss of revenue.”
CloudPredict empowers network teams with a new set of tools for finding and fixing existing issues and predicting potential problem spots. Some of the key features enables teams to visualize and search for paths and objects in public cloud deployments and across multi-cloud environments; to verify segmentation of cloud applications and thus predict network infrastructure vulnerabilities without impacting the agility of the applications teams; to also assure compliance and track changes across snapshots of the network, including on-premises, standalone cloud and multi-cloud networks; and to ensure intended end-to-end reachability is met across multi-cloud and hybrid infrastructure.
