![\"6](\"https:\/\/solutionsreview.com\/cloud-platforms\/files\/2019\/12\/cloud-optimization-monitoring-2020-predictions.jpg\")
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As part of our Cloud Insight Jam<\/a>, we got in touch with several experts and asked for their predictions on cloud optimization and monitoring in 2020. These experts represent the top cloud vendors, cloud solutions providers, and IT software companies, and have decades of combined experience with optimizing and monitoring the cloud. We’ve compiled seven quotes from six experts on where they see cloud optimization and monitoring in 2020 and beyond.<\/p>\n Thanks to all of these experts for submitting their quotes and advice \u2014 and be sure to follow us on Twitter<\/a> all day for insights, advice, and best practices on cloud computing during our #CloudInsightJam<\/strong>!<\/p>\n “In the past year, we have seen a real shift in how digital consumers and digital professionals use web-based technologies to the point where it is hard to tell the difference between the two groups. They both behave the same online and at work, creating a greater need for network insights and monitoring to understand the differences. In 2020, we will see a greater investment in monitoring internet-based services and network delivery to ensure user-based services like apps in the cloud and SaaS solutions are available and meet end-user expectations.”<\/em><\/p>\n “Enterprises will continue investing in digital tracking of customers and employees to deliver high-class experiences. The challenge is data privacy, protection and regulation will complicate the effective delivery of digital services. This will cause vendors to jump through hoops to deal with an increasingly more complex set of privacy and protection rules. We expect to see monitoring evolve to meet the user experience needs while meeting regulatory and privacy needs.”<\/em><\/p>\n “Escalating public cloud costs have forced enterprises to re-prioritize the evaluation criteria for their cloud services, with higher efficiency and lower costs now front and center. The highly elastic nature of the public cloud means that cloud services can (but don\u2019t always) release resources when not in use. And services which deliver the same unit of work with higher performance are in effect more efficient and cost less. In the on-premises world of over-provisioned assets such gains are hard to reclaim. But in the public cloud time really is money. This has created a new battleground where cloud services are competing on the dimension of service efficiency to achieve the lowest cost per compute, and 2020 will see that battle heat up.”<\/em><\/p>\n “Monitoring is one of the pillars of Observability, alongside Logging and Tracing. And the rapid adoption of modern cloud-native architectures, where everything, from infrastructure to production loads to issues, is ephemeral, renders many of the existing, centralized monitoring solutions largely inadequate both from a performance standpoint, and a cost perspective. At the same time, the advent of 5G promises an explosion in the number of always-connected devices, and with them the system and application monitoring needs. Vendor-neutral, real-time and distributed Observability, coupled with open collaboration platforms are our best bet in addressing the challenges of performance, scale and economics in the industry.”<\/em><\/p>\n “Enterprises are looking for application and cloud service providers to help them operate more efficiently through the use of machine learning (ML) and artificial intelligence (AI) to deliver more effective resource management. Achieving this will require the environment or application to understand when it needs more resources and then automatically scaling up those resources to meet the increased demand. Conversely, the technology will need to understand when specific resources are no longer needed and safely turn them off to minimize costs. Today such dynamic resource allocation can be unreliable or must employ an inefficient manual process, forcing cloud customers to either spend more than necessary or fall short of meeting service levels during periods of peak demand.”<\/em><\/p>\n “As the amount of Internet traffic grows by the minute with every TikTok video, business traffic is competing against cat videos on a network that it wasn\u2019t designed for. Just as the ThousandEyes Cloud Performance Benchmark report found Google Cloud and Microsoft Azure preferring to use their own private backbone networks (with AWS and IBM also offering this option), we\u2019ll see more SaaS companies and cloud-based service providers creating private backbone networks to optimize their own network traffic instead of relying on the unpredictable public Internet.”<\/em><\/p>\n Public cloud optimization has experienced a significant evolution over the last few years. The first generation of cloud optimization services focused on bill analysis, with the second generation focusing on cross-analyzing cost with capacity. The third and current generation encompasses the previous two generations, in addition to hybrid infrastructure monitoring and capacity planning. This generation yields recommendations on whether workloads would perform best on premise or in the cloud, depending on what\u2019s more cost effective. In 2020 and beyond, we\u2019ll see a fourth generation of public cloud optimization emerge: dynamic resource allocation, enabled by workload automation technology comprised of performance capacity and cost management capabilities. In order for Gen-4 to proliferate, security and governance issues will need to be addressed for third-party vendors to gain the access they need to analyze workloads and change control processes for mission critical applications.<\/em><\/p>\n Looking for more info on managed service providers for your cloud solutions? Our\u00a0MSP Buyer\u2019s Guide<\/a>\u00a0contains profiles on the top cloud managed service providers for AWS, Azure, and Google Cloud, as well as questions you should ask vendors and yourself before buying. We also offer an\u00a0MSP Vendor Map<\/a>\u00a0that outlines those vendors in a Venn diagram to make it easy for you to select potential providers.<\/em><\/p>\n Check us out on\u00a0Twitter<\/a>\u00a0for the latest in Enterprise Cloud news and developments!<\/strong><\/em><\/p>\n\t\t\t![\"Download](\"https:\/\/solutionsreview.com\/cloud-platforms\/files\/2019\/04\/Cloud-MSP-Speedbump-VendorMap.jpg\")
<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/p>\nNik Koutsoukos, CMO and Evangelist, Catchpoint<\/span><\/a><\/strong><\/h2>\n
Digital Consumers and Digital Professionals Behave the Same<\/h3>\n
Customer and Employee Experience Monitoring Matures<\/h3>\n
\nTomer Shiran, Cofounder and CEO, Dremio<\/span><\/a><\/strong><\/h2>\n
Enterprises Say Hello to Efficiency Benchmarks<\/h3>\n
\nDimosthenis Kaponis, CTO, Netdata<\/span><\/a><\/strong><\/h2>\n
Enterprises Need Better Solutions for Observability<\/h3>\n
Our MSP Buyer’s Guide<\/a><\/span> contains profiles on the top cloud managed service providers for AWS, Azure, and Google Cloud, as well as questions you should ask vendors and yourself before buying. We also offer an MSP Vendor Map<\/a><\/span> that outlines those vendors in a Venn diagram to make it easy for you to select potential providers.<\/em><\/div><\/p>\nFrank Jablonski, VP of Global Marketing, SIOS Technology<\/span><\/a><\/strong><\/h2>\n
Machine Learning and AI Will Deliver Cost Savings Through Greater Cloud Efficiencies<\/h3>\n
\nAngelique Medina, Product Marketing Director, ThousandEyes<\/span><\/a><\/strong><\/h2>\n
Backbone Networks Increase Dramatically<\/h3>\n
\nBob Farzami, VP of Cloud Product Management, Virtana<\/span><\/a><\/strong><\/h2>\n
Dynamic Resource Allocation Will Gain Traction as an Optimization Method<\/h3>\n
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