We discuss upcoming enterprise cloud trends for 2017. We look at how collaboration is advancing with platforms like Slack and determine whether this trend is here to stay. Deep learning is another important 2017 focus, especially because the economics have become favorable and analytics no longer cost as much. This means we can now create things like neural networks and advanced predictive algorithms at a much lower cost. We also look at the return of SQL, and discuss whether it ever left at all. It seems SQL will be important in 2016, from MongoDB and beyond. We see how containers are here to stay and to manage clusters, Kubernetes will be the top player in 2017. We see how serverless computing makes development easier, especially looking at AWS Lambda. Instead of deploying apps and microservices, we now deploy functions that do only one thing with serverless computing. This is a lot more to manage for large enterprises because of how granular functional programming can become. We also look at custom cloud processors as an alternative to using major chip manufacturers and processors. IoT will continue to forge ahead in 2017 and the keyword will be interoperability. With so many new devices, standards on security and governance will be crucial next year. IT spending as we know it may change in 2017 as more and more enterprises look into PC-as-a-service models instead of purchasing expensive equipment. Last, we discuss the rise of Python programming language and where it will go in 2017 from data science to teaching it to kids.
Our guest on the podcast this week is Mat Keep, Director of Product & Market Analysis at MongoDB. We discuss the differences between open-source database systems like MongoDB and relational databases that use SQL. In the early days of open-source, it used to be built to replicate what proprietary software did well. Today, open-source is the innovator because that is what developers expect and need to be successful. In many ways MongoDB builds on the success of relational databases and replicates their best features while allowing for more rapid innovation and time to market. Modern applications deal with data that is both structured and unstructured, which means the database needs to be able to evolve rapidly. At its core, MongoDB is built for developers to improve productivity. It allows them to develop applications much faster and to build what had previously not been possible on relational databases.
Our guest on the podcast this week is Michael Crandell, CEO and Founder at RightScale. We discuss the early years of cloud computing before it had a name and when it was often referred to as “elastic compute cloud” or “utility computing”. In this time there was a need for a universal cloud management platform, which resulted in Michael creating RightScale. RightScale started as an Infrastructure-as-a-Service model for AWS that provided compile, storage, and networking services. Today, they have expanded to work with all providers including containers. With multiple tools for clients to customize, cloud instances are becoming more and more complex. We look at the State of the Cloud for 2017 and see that for many years people found cloud security to be the single biggest challenge of the cloud, but in 2016 people changed their minds. Today, the biggest cloud challenge is the skills and expertise gap for enterprises implementing a cloud strategy.
Our guest on the podcast this week is John Treadway, SVP at Cloud Technology Partners. We discuss best practices to leverage the cloud for innovative digital solutions. We look at Blockchain as a powerful new reality that helps reduce transaction costs for the financial industry on everything from mortgages, record-keeping, stock allocation, and even car records. Blockchain is disrupting the 15th century double-ledger accounting system still in use today, and it relies on the cloud for its future. The cloud acts as the backbone for many other innovative solutions of the future from AI to Machine Learning and Big Data insights. These include algorithms to improve the reliability of autonomous driving, and even to accurately build financial portfolios more effectively than a stock broker. The Cloud Technology Partners Digital Innovation initiative was launched on October 25 and will lead many of these innovative cloud-based solutions and more.
Our guest on the podcast this week is Robert Christiansen, Vice President, Cloud Adoption Practice Lead at Cloud Technology Partners. We discuss a basic framework for cloud adoption in large enterprises based on learnings from over 400 client engagements at Cloud Technology Partners. Through these experiences, patterns have emerged that can be used to make strategies for engaging large enterprises in cloud adoption despite early fear and uncertainty. A key step is to put together an internal cloud team or Cloud Business Office (CBO) with buy-in from all departments including legal so that adoption can move forward with full support. The beginning of enterprise cloud migration can sometimes be more about changing psychology over changing technology.
In 2013, we saw many CTP clients using OpenStack based tools for their private cloud initiatives. Fast forward to 2016 and public cloud is 3.5x the size of private cloud adoption, according to a Wikibon report. As more features and functions are released by the public cloud providers, enterprises are rightfully asking where the private cloud business case exists anymore.
Despite the increasing popularity of public cloud’s on-demand, pay-per-use model, private cloud still has a place in the enterprise, and its adoption continues to grow across platforms. There remains legitimate reasons to own and manage your own technology infrastructure, and private clouds bring some of the benefits of cloud principles to such data center deployments.
For Episode 100 of The Doppler podcast, David Linthicum sat down with private cloud proponent John Engates, and private cloud skeptic Bernard Golden to moderate a discussion around the future of private cloud and its business value in IT’s dynamic landscape.
Our guest on the podcast this week is Chris Wolf, VP & CTO, Americas at VMware. We discuss how the VMware-AWS deal came from listening directly who customers who wanted to leverage the public cloud while continuing to leverage the best private cloud they were already using. The partnership will allow customers more flexibility and agility in their cloud strategies. So, what’s in it for AWS? A level of intimacy with enterprise IT they have not previously had access to. The world will continue to rely on hybrid cloud infrastructure for years to come because large enterprises cannot move as quickly, and may not have the finances or skills to jump into public cloud. With Microsoft Azure Stack being released soon, this partnership is strategically timed to allow customers to try out this new flexibility first.
Our guest on the podcast this week is Alex Williams, Founder at The New Stack. We discuss the transformation from container-based environments to orchestration-based environments. Docker’s entry into the cloud provided a lot of free options for companies, but many companies don’t know how to leverage these open-source ecosystems. Docker and other container-management systems allow us an alternative to virtualization, and it seems safer for enterprises to leapfrog VMware or VMware on AWS and move directly to containers. This provides advanced security and governance immediately though most enterprises feel Docker is out of reach because they already have VMware currently running at their data centers. Serverless Architecture systems like AWS Lambda and IBM OpenWhisk provide a comparatively low-cost solution but an added level of complexity of implementation that excludes many enterprises. Last, we discuss how Microsoft may not need Windows anymore. The battle of the Operating Systems may be over soon because most people now run services online instead of on their operating system.
Our guest on the podcast this week is Dana Gardner, President and Principal Analyst at Interarbor Solutions. We discuss the VMware-AWS deal that has the potential to bring many more companies with private servers into the cloud. We look at how the strategy for AWS is not to lock-in customers to their platform alone, but to work with vendors like VMware to support customers implementing hybrid cloud strategies to further grow the Amazon customer base. With many more vendor partnerships in the cloud industry, there is now a shift to enterprises aligning themselves around a cloud ecosystem, not just a platform anymore. We look at AWS and Microsoft Azure as the leaders in public cloud who may soon enter a price war that will commoditize public cloud. With the commoditization of public cloud, specialized high-margin services and applications that add value to the cloud will carry the industry forward from artificial intelligence to big data insights to predictive analytics and more.
Our guest on the podcast this week is Brian Gracely, Director of Product Strategy at Red Hat. We discuss transition from Red Hat being known for Linux to their current status as leaders in the cloud computing industry. We are emerging into a space now where efficiency is the objective. Reinventing technology is not as crucial as building highly elastic, highly scalable cloud environments to bring companies forward. We look at the future of Microsoft and whether or not Windows will continue to be a focus as they adapt to the changing technology scene. One of the places where Microsoft beats AWS is in their sales force and ability to form long-term relationships with customers who appreciate the in-person assistance they provide. This key element puts them in a great position to grow with Azure in the future.
Our guest on the podcast this week is Reuven Cohen, VP of Growth at Aporeto. We discuss the future of machine learning. Almost anyone can access the power of machine learning today to build their own applications without needing to worry about the underlying infrastructure. Taking the complexity out of cloud management makes it accessible to the mainstream and easier to focus on minute improvements. The ultimate value of machine learning comes from being able to put data into context to make key business decisions. We discuss new improvements to AWS for machine learning speed and what the best path forward is for Google to compete in the space.
Our guest on the podcast this week is Chirag Mehta, Silicon Valley Product Executive and Adjunct Faculty at Santa Clara University. We discuss careers in cloud computing, emphasizing the importance of quality Data Scientists and Product Managers. There is currently a lack in Data Science talent, and the road to more is through training both at the university level and by current employers. It is hard to cultivate a data mindset, because it requires a level of creativity and willingness to experiment. Each data set tells a story, and talented Data Scientists either know the right questions to ask or can find the right questions by observing trends in the data.
Our guest on the podcast this week is Bernard Lin, VP, Principal Architect at Cloud Technology Partners. We discuss Blockchain, the underlying technology that makes Bitcoin possible by allowing all transactions to be shared on a single ledger for increased transparency. Use of Blockchain means that transactions no longer need to include any trust-based organizations and leads to a more efficient transaction that can be processed immediately, a lower cost transaction because no external parties are involved, and a more secure transaction. We also look at whether or not there is still a need for private clouds with the current focus on hybrid and public clouds.
Our guest on the podcast this week is Stephen Foskett, Organizer in Chief at Tech Field Day. We discuss the balance between defining industry-wide cloud standards and having the freedom to move quickly for a company like Docker. As they grow, they must navigate the democratic open-source process at their foundation. We also look at Intel’s new Cloud Integrated Advanced Orchestrator (CIAO) project that may be too late to the game to compete with OpenStack.
Our guest on the podcast this week is Tarun Thakur, Co-Founder & CEO at Datos IO. We discuss the importance of making recovery scenarios a priority with any enterprise cloud strategy. In the recent Delta outage, we saw the negative outcomes that occurred when several critical systems failed to switch to backups automatically. Though every enterprise is now on the cloud in some way, it seems we are only at the tip of the iceberg of moving systems to the cloud, with financial services and healthcare just joining the migration. The time is now to create better contingency plans to anticipate issues.
Our guest on the podcast this week is Jim Ford, Chief Strategic Architect at ADP. We discuss Docker adoption, DevOps, and security for a company as big as ADP with over 630,000 customers, 35 million users in 100 countries, and 55 million stored social security numbers. We see how DevOps processes and security is never a completed initiative and can always be improved. We also see how DevOps at ADP varies significantly across projects and seems to mold to the team using it.
Our guest on the podcast this week is Marten Mickos, CEO at HackerOne. We discuss how going all in on one vendor can create potential issues for the future as the industry changes rapidly. There are ways to mitigate this risk through architecture and to allow the most critical aspects of your infrastructure to remain portable through abstraction layers and other tricks. We also look at the top cloud skills required for job seekers today in the industry starting with being a self-learner.
Our guest on the podcast this week is Rob Hirschfeld, Founder and CEO at RackN. We discuss the differences between Docker Swarm and Kubernetes as well as the debate about how many companies use containers the right way. We also look at hybrid and how it can be easy to lift a container from Amazon and move it to Google, but there will still be key differences in networking and storage between the two that make the shift more complex. Last, we talk about the pros and cons of going all in on one vendor.
Our guest on the podcast this week is James Urquhart, Senior Vice President of Performance Analytics at SOASTA, Inc. We discuss the effective use of data for the improvement of user-performance. There are a lot of companies who rely on online behavior that receive mass amounts of data they do not understand, and tools are now being released to automatically correlate this data and present it back in meaningful ways. Enterprises who choose not to innovate in the cloud early on are at risk of being overtaken by new entrants with better digital approaches to their industry.
Our guest on the podcast this week is JP Morgenthal, Global Solutions Executive and Distinguished Engineer at CSC. We discuss an unfortunate shift in the meaning of DevOps. The industry has brought its definition to mean the technical specialization and ability to build software modules instead of the underlying business services and organizational strategy DevOps set out to change. We also look at the impact of Brexit on data protection rules across EU borders.
Our guests on the podcast this week are Luke Kanies, CEO, andAlanna Brown, Senior Product Marketing Manager at Puppet. We discuss key findings from Puppet's 2016 State of DevOps Report. The report separates high performers by key metrics: deploy frequency, lead time for changes, mean to to recover, and change failure rate. Puppet found that high performers had 200x more frequent deployments than low performers, and 2,555x faster lead times. We look at how IT can take notes from the lean manufacturing model, especially in moving security and quality forward so that they can be closely involved in the initial design of features to avoid future issues.
Our guest on the podcast this week is Kevin Jackson, Founder at GovCloud Network. We discuss the interaction between the US Federal Government and the cloud computing industry. The FedRAMP program helped to define the cloud and became a starting point for organizations transitioning to cloud. In Kevin Jackson’s new book, “Practical Cloud Security: A Cross-Industry View” he shows how each industry has a unique business model, and must implement the cloud accordingly. We also look at cloud washing and how the Oracle lawsuit is just the beginning.
Our guest on the podcast this week is Lori MacVittie, Principal Technical Evangelist at F5 Networks. We discuss the important relationship between cloud strategy and business success and how many enterprises struggle to make this connection. We look at how the large public clouds continue to find ways to add value to their offerings to avoid becoming a commodity and how that may eventually affect the startups who build technologies for the cloud ecosystem.
Our guest on the podcast this week is Mark Russinovich, CTO at Microsoft Azure. We discuss the hidden forces fighting against agile in an organization, mostly caused by not having the right alerting and monitoring systems set up from the start to ease into continuous development. The rate of change Azure has is only possible because of the DevOps model they use to move quickly. Enterprises are attracted to the cloud for the cost savings, but they soon love the agility the cloud provides so that they can get more done quickly as an organization. When customers do become interested in the cloud, they want more guidance, and Microsoft is now offering help creating road maps and as well as technology support to implement cloud initiatives. One of the most important steps Azure has taken is to democratize the cloud, and make it approachable for consumers.