MOUNTAIN VIEW, Calif., July 12, 2016 /PRNewswire/ -- Foghorn Consulting, a premier cloud consulting firm and enterprise service provider based in San Francisco and the Silicon Valley, announced that it has released FOG-OPSSM, its newest paradigm-shifting set of cloud service offerings.
"For decades, companies have had to endure site operations cost models that scale linearly with size," said Alex Roosakos, Foghorn's co-founder and CEO. "Now, by leveraging FOG-OPS, our customers can focus on their differentiator while watching their operational costs and uptime benefit from scale as they grow."
FOG-OPS satisfies the needs of companies that were born in the cloud, as well as the more established enterprise.
"Startups and companies that are born in the cloud are very aware of the advantages of leveraging IaaS providers such as AWS, Google and Microsoft," Roosakos said. "With FOG-OPS, a similar transformation in operational model is now available through proactive DevOps, Site Reliability Engineering (SRE) and automation technologies rather than exclusively reactive support models."
Enterprise companies must compete with fast-moving companies leveraging the cloud and automation. FOG-OPS allows enterprise customers to gain the full value of the cloud on day one. "There's typically a learning curve for enterprises to realize the potential benefits of infrastructure as a service," Roosakos said. "With FOG-OPS, CIOs can now leapfrog the competition and avoid the learning curve to benefit from scalable operational models immediately after transforming their applications to the cloud."
Foghorn Consulting is a premier cloud service provider. Foghorn Consulting provides strategy, planning and execution to ensure that its customers' cloud computing initiatives deliver maximum value.
Founded in 2008 and based in Silicon Valley, Foghorn's proprietary technology and consulting team of SREs, DevOps engineers and certified cloud architects bring over 20 years of domain expertise to ensure customer success.
SOURCE Foghorn Consulting