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Enterprise IT shops that want to modernize legacy applications or embark on a database containerization project are the target users for Kubernetes tools released this month. Robin Systems, which previously offered its own container orchestration utility, embraced Kubernetes with hyper-converged infrastructure software it claimed can optimize quality of service for database containerization, AI and machine learning applications, as well as big data applications, such as Spark and Hadoop. Turbonomic also furthered its Kubernetes optimization features with support for multi-cloud container management. Turbonomic’s Self-Managing Kubernetes tool could also help with database containerization, because it takes performance and cost optimization into account.

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The products join other third-party Kubernetes management tools that must add value over features offered natively in pure — a difficult task as the container orchestration engine matures. However, the focus on database containerization and its performance challenges aligns with the enterprise market’s momentum, analysts said. “For many vendors, performance is an afterthought, and the monitoring and management side is an afterthought,” said Milind Govekar, analyst with Gartner. “History keeps repeating itself along those lines, but now we can make mistakes faster because of automation and worse mistakes with containers, because they’re easier to spin up.” While early adopters such as T-Mobile already use DC/OS for database containerization, most enterprises aren’t yet ready for.

“Stateless apps are still the low-hanging fruit,” said Jay Lyman, analyst with 451 Research. “It will be a slow transition for organizations pushing containerization into data-rich applications.” Robin Systems claims superior database containerization approach Now, we can make mistakes faster because of automation and worse mistakes with containers, because they’re easier to spin up. Milind Govekaranalyst, Gartner Robin Systems faces more of an uphill battle against both pure Kubernetes and established third-party tools with its focus on big data apps and database containerization. Has already targeted this niche for years with DC/OS. And enterprises can also look to for database containerization, given the platform’s maturity and users’ familiarity with Red Hat’s products. Robin Systems’ founders claimed better guarantees for individual containers and workloads than OpenShift and DC/OS, because the company designed and controls all levels of its software-defined infrastructure package, which includes network and storage management, in addition to container orchestration. It guarantees minimum and maximum application performance throughout the infrastructure — including CPU, memory, and network and storage IOPS allocations — within one policy, whereas competitors integrate with tools such as the open source Container Network Interface plug-in, OpenShift Container Storage and Portworx persistent storage.

Control over the design of the storage layer enables Robin’s platform to take cluster-wide snapshots of Kubernetes deployments and their associated applications, which isn’t possible natively on OpenShift or DC/OS yet. Plenty of vendors claim a superior approach with their Kubernetes tools, and many major enterprise IT shops have already chosen a for production application development and deployment. However, companies such as John Hancock also must modernize a massive portfolio of legacy applications, including IBM DB2 and Microsoft SQL Server databases in versions so old they’re no longer supported by the original manufacturers. John Hancock, a Boston-based insurer and a division of financial services group Manulife Financial Corp., is conducting a proof of concept with Robin Systems, as it mulls database containerization for IBM DB2.

The company wants to move the mainframe-based system into the Microsoft Azure cloud for development and testing, which it sees as simpler and more affordable than its current approach to managing internally developed production apps with Pivotal’s PaaS offering by a separate department. “It’s not going to fly if a database containerization platform will take four people eight months to get working,” said Kurt Straube, systems director for the insurance company. Robin’s hyper-converged infrastructure approach, which bundles networking and storage with container and compute management, might be a shortcut to database containerization for legacy apps where ease of use and low cost are paramount.

Turbonomic’s Kubernetes tool manages MongoDB performance. Turbonomic targets container placement, not workloads While Robin Systems’ platform approach puts it squarely into competition with PaaS vendors such as Red Hat OpenShift, Pivotal Container Service (PKS) and Mesosphere’s DC/OS, Turbonomic’s product spans Kubernetes platforms such as Amazon Elastic Container Service for Kubernetes, Azure Kubernetes Service, Google Kubernetes Engine and PKS. Turbonomic’s Kubernetes tool optimizes container placement across different services, but doesn’t manage individual container workloads. It fills a potential need in the market, and it keeps Turbonomic out of direct competition with established Kubernetes tools. “There are many PaaS vendors that can manage Kubernetes clusters, but what they can’t do is tell a user how to optimize the number of containers on a cluster so that the right resources are available to each container,” Gartner’s Govekar said.

A number of tools manage VM placement between multiple cloud infrastructure services, such as the API. However, “many of these tools don’t do a great job from a performance optimization standpoint specifically,” Govekar said. It’s time for organizations to modernize their IT infrastructure and operations to not just support, but to drive digital business, according to Gregory Murray, research director at Gartner. But to complete that transformation, organizations need to first understand their desired future state, he added.

“The future state for the vast majority of organizations is going to be a blend of cloud, on prem and off prem,” Murray told the audience at the recent conference. “What’s driving this is the opposing forces of speed and control.” From 2016 to 2024, the percentage of new workloads that will be deployed through on-premises is going to plummet from about 80% to less than 20%, Gartner predicts. During the same period, cloud adoption will explode — going from less than 10% to as much as 45% — with off-premises, colocation and managed hosting facilities also picking up more workloads.

IT infrastructure needs to provide capabilities across these platforms, and operations must tackle the management challenges that come with it, Murray said. How to transform IT infrastructure and operations Once organizations have defined their future state — and Murray urged organizations to start with developing a public to determine which applications will be in the cloud — they should begin modernizing their infrastructure, he told the audience at the Gartner Catalyst conference. “Programmatic control is the key to enabling automation and automation is, of course, critical to addressing the disparity between the speed that we can deliver and execute in cloud, and improving our speed of execution on prem,” he said. Organizations will also need to take advantage of it, he said. Another piece of the automation equation when modernizing the infrastructure to gain speed is standardization, he said. The future state for the vast majority of organizations is going to be a blend of cloud, on prem and off prem.

Gregory Murrayresearch director, Gartner “We need to standardize around those programmatic building blocks, either by using individual components of, software-defined compute and software-defined storage, or by using a hyper-converged system.” simplifies the complexity associated with establishing programmatic control and helps create a unified API for infrastructure, he said. Organizations also need to consider how to uplevel their standardization, according to Murray. This is where come into play. The atomic unit of deployment is specific to an application and it abstracts much of the dependencies and complications that come with moving an application independent of its operating system, he explained. “And if we can do that, now I have a construct that I can standardize around and deploy into cloud, into on prem, into off prem and give it straight to my developers and give them the ability to move quickly and deploy their applications,” he said.

Hybrid is the new normal To embrace this hybrid environment, Murray said organizations should establish a fundamental substrate to unify these environments. “The two pieces that are so fundamental that they precede any sort of hybrid integration is the concept of networks — specifically your and WAN strategy across your providers — and identity,” Murray said. “If I don’t have fundamental identity constructs, governance will be impossible.” Organizations looking to modernize their network for hybrid capabilities should resort to, Murray said. This provides software-defined control that extends outside of the data center and allows a programmatic approach and automation around their WAN connectivity to help keep that hybrid environment working together, he explained. But to get that framework of governance in place across this hybrid environment requires a layered approach, Murray said. “It’s a combination of establishing principles, publishing the policies and using programmatic controls to bring as much cloud governance as we can.” Murray also hinted that embracing DevOps is the first step in “a series of cultural changes” that organizations are going to need to truly modernize IT infrastructure and operations.

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For those who aren’t operating at agile speed, operations still needs to get out of the business of managing tickets and delivering resources and get to a self-service environment where operations and IT are involved in brokering the services, he added. There is also need to have a monitoring framework in place to gain visibility across the environment. Embracing — which uses big data, data analytics and machine learning — can help organizations become more predictive and more proactive with their operations, he added.

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Virtually every business we speak with today is feeling increased pressure to modernize business processes and accelerate their ability to compete. Often, this pressure is felt most acutely by small and mid-sized organizations. As these businesses evolve, they need systems that grow with them, so they can stay agile, get a holistic view of their business data, and, ultimately, provide them with insights that can help them automate processes and operations. It’s with the needs of these companies in mind that we continue to deliver innovation in Microsoft Dynamics NAV. I am happy to announce that as of today, Microsoft Dynamics NAV 2018 is generally available for our customers and partners. Microsoft Dynamics NAV 2018 offers significant new capabilities, as well as deeper interoperability across the Microsoft ecosystem, including Office 365.

Dynamics NAV 2018 is the latest version of Microsoft’s end-to-end business management solution designed to help organizations create greater efficiencies, streamline business processes, and empower employees to react quickly to changing business needs with intelligent insights – anywhere and on any device. Most importantly, Dynamics NAV is deeply integrated with Office 365 and includes built-in intelligence, so it’s easy to use, adaptable to specific industry requirements, and helps companies make better business decisions. Dynamics NAV 2018 includes significant new capabilities and enhanced integrations to simplify adoption and deployment, including:. Lower costs of implementation and adoption with new automated setup guides that simplify initial setup of Dynamics NAV and help to seamlessly integrate with Dynamics 365 for Sales. In addition, we’ve introduced a new user tasks function that improves user productivity. Streamline business processes with new out-of-the-box Microsoft Excel report templates (for example, Trial Balance, Cash Flow statements and more), as well as deeper utilization of Microsoft Cognitive Services for image recognition of inventory Items and contacts.

We’ve also added improvements to the Optical Character Recognition (OCR) capabilities with the Kofax Invoice Capture Service, for process improvement with digitized purchase invoices. Empower employees with new embedded and contextually relevant Power BI reports, improving visualization and visibility within the most highly-used lists in Dynamics NAV.

Also, new integrations with Microsoft Flow enable users to automate tasks directly in the context of their Dynamics NAV experience. Our commitment to Cloud innovation As we continue to execute on our Dynamics 365 product strategy, we realize smaller businesses sometimes prefer an end-to-end business management solution, instead of an application for each individual line of business within their organization. In an earlier post, Alysa Taylor outlined our plan to deliver a business management cloud solution to address this specific need via our partners. We’re executing on that commitment by expanding Dynamics 365 for Finance and Operations, Business Edition to include the full breadth of Dynamics NAV.

This next generation solution will be available to the market in the first half of 2018. We will provide two distinct offerings for our partner ecosystem, enabling them to provide the right solution for their customers:. A Microsoft Dynamics 365 cloud application, which enables partners participating in the Cloud Solution Provider (CSP) Program to deliver an end-to-end cloud business management solution to their small and mid-sized customers – across key business functions, including sales, financial management, project management, and operations. A business application platform for ISVs, which enables Microsoft ISV Cloud Embed program partners to build and offer vertical cloud solutions directly to customers. We believe that building on the strength of Dynamics NAV with this new cloud offering will offer Microsoft’s partner ecosystem great opportunity to continue providing innovative solutions to companies that require a comprehensive end-to-end business management solution. More information Microsoft partners can read the FAQ on Dynamics 365 offerings and the roadmap page on PartnerSource. Customers should talk to their Microsoft partner for a demonstration of what is new in Dynamics NAV 2018 and the benefits of upgrading.

For additional product information, we invite you to visit: http://www.microsoft.com/nav. You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy. The software vendor debuted the MTA program, which bundles services and Docker Enterprise Edition with hybrid cloud infrastructure from technology partners, this past April at the DockerCon 2017 conference.

The aim of the Docker MTA program, the vendor said, is to support enterprise customers in modernizing their legacy applications, letting organizations start by transitioning one or more apps to containers, so they can see the benefits of containerization firsthand. The Docker MTA program developed after the company learned the clearest high-value use case is the “ability to very quickly Dockerize applications, including traditional ones,” according to David Messina, senior vice president of marketing at Docker, based in San Francisco. Dockerized applications can result in “amazing operational efficiencies,” he said, such as savings from maintenance dollars that customers can then use to fund new innovations. Alan Geary, senior director of channel alliances and sales at Docker, noted that, besides operational efficiencies, Dockerizing applications can offer customers improved agility, security enhancements and portability — all of which partners can demonstrate rapidly through the Docker MTA program. “You get these terrific value propositions and statements proved to the customer in a quick 30-day engagement.” Review the components of Docker technology.

Partners benefit from Docker MTA strategy Glen Tindal, practice director at Capstone Consulting, a Premier Docker partner based in Omaha, Neb., said “the whole idea” of the MTA program is a “crawl, walk and run” approach for customers. embedded content Docker’s Brandon Royal discusses the containerization of legacy applications at DockerCon 2017. A customer, for example, starts by porting one to three applications to a container, Tindal said. Through this narrow engagement, customers can evaluate the fiscal and technical benefits and then decide to do further containerization projects, tapping Capstone for its expertise. The Docker MTA program resonates with enterprise customers, “without a doubt,” Tindal said.

He noted that Capstone’s partnership with Docker has been exceptionally positive and collaborative since Capstone became an active partner about a year ago. “They truly understand it is a ‘better together’ story,” he said, adding that Docker has been open with sharing its roadmap and insight into the industry, as well as receptive to partner feedback. Showing enterprises the benefits of containers Nebulaworks, a technology consulting and advisory firm located in Irvine, Calif., has partnered with Docker since 2014. At the time, Nebulaworks was “just a fledgling company,” but developed a symbiotic relationship with the vendor over time, said Chris Ciborowksi, Nebulaworks’ co-founder and CEO. Ciborowski said Docker thinks of Nebulaworks as a group of technical experts that can solve “the edge cases for their customers” and support customer success. You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy.

Most enterprises have at least one application that’s so old, no one on the current IT team recalls how it was written, nor understands the finer intricacies of its management. Now, these companies must weigh the risks and costs to refactor these apps for a cloud-first, continuously developed world. “It’s always an investment to replace something which does exactly what you need, but it’s just old software,” said Thomas Maurer, cloud architect for Switzerland-based itnetX, a consulting firm that works with large enterprise clients in Europe. “Traditional, classic enterprise apps cannot just be migrated into the DevOps world in a nice way — they may have dependencies on legacy code, or they’re not designed to scale out.” Windows DevOps tools have improved, and IT shops are finding ways to link them together. But many client-server apps in the Windows world, particularly rich-client apps, don’t lend themselves well to continuous development or rapid provisioning, said Chris Riley, DevOps analyst at Fixate IO, a content strategy consulting firm based in Livermore, Calif., and a TechTarget contributor. Riley has developed Windows applications, such as SharePoint. Some standard client-server applications must be compiled before they are tested.

Dependencies and prerequisites also bog down legacy Windows apps; installing older versions of SQL Server or SharePoint takes days. Some legacy Windows environments also function best when apps are installed locally on the developer’s machine, whereas web and mobile applications typically integrate with REST APIs and avoid binary codes on a local machine, Riley said. Without the ability to spin up development and test environments easily, organizations tend to reuse one test bed. “This severely limits when you can do your testing, because you don’t want to pollute that environment, or make a mistake and rebuild it,” Riley said. “Whereas in DevOps, it should be easy to make a mistake — you actually want to do that and move forward.” Windows DevOps tools give legacy apps a makeover If organizations decide to refactor legacy apps to run in a more cloud-native fashion, they can first use tools and services from Microsoft partners to help make those apps more efficient to test and deploy. “Skytap and CloudShare provide on-demand environments for these tools,” Riley said.

“So, you can spin up a new database environment in 15 minutes instead of days, and then delete it, then spin it up again.” The two companies take different approaches to hosting legacy apps on flexible cloud infrastructure. For example, Skytap Cloud supports more, older versions of Windows than Microsoft does, so customers can modernize apps at their own pace. CloudShare’s on-demand versions of Windows apps, meanwhile, are “somewhere between hard and impossible to run on the commodity clouds like Amazon Web Services,” said Muly Gottlieb, the company’s vice president of R&D. CloudShare, a 10-year-old privately funded Israeli SaaS company, lets users set policies and spin up and down dev and test environments with complex traditional apps, such as SharePoint and SQL Server. The service can accommodate customers that aren’t a good fit for Azure Cloud services, such as VMware shops that support legacy Microsoft apps.

Legacy apps set up in CloudShare’s environment can circumvent problems around fast and ephemeral provisioning and provide workable dev and test services in Windows DevOps shops. “In the past, developers would all share five or 10 master labs, which is bad for velocity, and lab scarcity is a productivity-killer,” Gottlieb said. With this approach, code is not always reproducible, and environments spun up from snapshots aren’t always consistent. Electric Cloud has a similar offering in the Windows DevOps tools arena, called ElectricAccelerator, which automatically parses legacy apps into distributed form and speeds up dev and test. Startups such as IncrediBuild and Thriftly also look to optimize dev and test for legacy Windows apps. Third-party services, such as Zapier, attach REST APIs to legacy applications and bring them a step closer to the Windows DevOps world.

Good ol’ trusty VMs can give Windows apps a leg up For on-premises IT organizations, advanced automation features within virtual machines also provide a steppingstone to modernize with containers and microservices. “There are ways to build this agility, and it’s going back to taking another look at how we use virtual machines,” Riley said. “Companies can treat VMs exactly how they were supposed to be treated, which is more like containers.” Companies can treat VMs exactly how they were supposed to be treated, which is more like containers. Chris RileyDevOps analyst, Fixate IO Enterprises can use a VM template with heavy applications to spin up and delete environments for virtualized legacy apps. It’s not as fast as containers, but there’s much more agility than what users may have had previously, Riley said. VM templates can call for Microsoft Visual Studio to be automatically installed at startup and linked to a source repository, so developers could pull down a branch, write code, test it, commit and destroy the environment — and then do it all over again in a new VM.

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VM-based automation works well with rich-client apps, where heavy dependencies and prerequisites make it tricky to test functions with Windows DevOps tools, said Anthony Terra III, manager of software architecture and development at a law firm in the Philadelphia area. “The only difference is that you need to run that rich-client application in a shell or a separate VM,” Terra said. “Normally, we have that VM already built, deploy the code to the VM and run it that way.” Terra’s company also uses a Microsoft database tool called a Data-tier Application Component Package (DACPAC) to smooth the delivery of updates to SQL Server VMs.

“You have the ability to create, change and delete tables, but it never actually interacts with the database,” Terra said of DACPAC. “It creates a change set file, which can be run against any database that has the same structure.” When code is deployed to dev, test or quality-assurance infrastructures, the Windows Microsoft DevOps tool Team Foundation Server calls on DACPAC’s change set file and applies the changes to the database environment. Terra’s firm has added some safety guards: If a change could cause data loss, for example, the build fails. The firm plans a move to containers in the coming year, but for now, VMs can slot in with Windows DevOps pipeline tools for a more consistent process.

“You’re not having people build VMs anymore because a tool is building them,” Terra said. “There is some fear in adopting something like that, but I think it’s misplaced, because it’s not like there’s less work because of it — the work you’re doing is just more focused on what’s around it.” Beth Pariseau is senior news writer for TechTarget’s Data Center and Virtualization Media Group. Write to her at bpariseau@techtarget.com or follow @PariseauTT on Twitter.