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“The healthcare business is exploding with unusual information, and as they proceed to movement towards superior scientific analytics, they comprehend this style is not slowing down,” states Bryan Fiekers, Senior Director of analysis at HIMSS Analytics, in a examine that focus on modernizing healthcare technology.
This commentary just about sums up probably the most largest challenges dealing with healthcare agencies today. And it moreover highlights some of the strongest alternatives for people that want to exist on the forefront of reworking biomedical research and advancing precision medication.
within the literally exabytes of records flooding into clinical analysis and repair start companies, at the instant equivocate insights that can withhold lives, lead to unusual discoveries, and radically change affected person keeping – for the businesses inclined to optimize the style they leverage, analyze, and do the most of their most advantageous useful resource: data.
here's the message that IBM systems will deliver to the 2019 HIMSS Annual conference and Exhibition (HIMSS19) in Orlando, Florida, on February 11-15. at the back of this message exists a proven reply that helps one of the crucial largest main precision drugs initiatives worldwide – the IBM high-performance records and AI (HPDA) reference structure for healthcare– a basis that may assist corporations leverage the alternatives inherent in their colossal unusual statistics units.
even if you are a health insurer that deserve to provide mighty capabilities to uphold people do more advantageous decisions to withhold their health; a college researcher publishing journal articles seeking to win your next circular of award funding; a data scientist in industrial R&D difficult progressing capabilities drugs through clinical trials; or a doctor in a health headquarters offering remedies with a purpose to provide patients the most advantageous scientific effects – with HPDA you'll event unusual records for pace and scale. within the 21st century, healthcare stakeholders want a professional, bendy, and relaxed computing platform that meets their different software necessities.
through their toil with many overseas groups and healthcare industry business companions, IBM has seen that companies that adopted their HPDA reference structure for genomics, imaging, EHR, deep studying and different huge information initiatives in biomedical analysis fill performed effective effects and captious merits.
At HIMSS19, IBM will characteristic a few true-world examples of HPDA architectures and add-ons assisting businesses transform their capabilities to benefit insight from big datasets.
as an instance, Aetna improves personalised keeping by using presenting true-time entry to information and trait functions that uphold tens of hundreds of thousands of individuals do greater decisions to withhold their health and manage prices. The session at the IBM sales space #6459 at HIMSS19 will pomp how the inclusion of excessive-efficiency IBM storage and software-defined infrastructure superior the ordinary efficiency and precipitate to birth of the commercial enterprise statistics warehouse, allowing Aetna to analyze tall amounts of facts sooner, while addressing compliance and privateness-linked concerns – and chopping prices.
booth visitors will moreover find out how Thomas Jefferson institution is coupling significant collections of distinctive biological datasets with excessive-efficiency computing to drive unusual advances in precision drugs. The Jefferson team has generated facts from processing massive quantities of information to exhibit that an individual’s intercourse, race/ethnicity, and geographic starting plot fill an sequel on predisposition for disorder, how a disorder may growth, and the therapeutic options that can exist most vital to pursue.
The IBM HPDA architecture is built on IBM’s historical past of supplying finest practices in high-performance computing (HPC). truly, the primary HPDA framework was used to construct summit and Sierra – presently two of the area’s strongest supercomputers designed for records and AI. The structure is designed to aid healthcare and life science corporations comfortably scale compute and storage materials as exact grows, and to aid the wide compass of construction frameworks and functions required for industry innovation – every with out unnecessary re-investments in technology.
Our reference architecture for healthcare carries key infrastructure components from IBM’s excessive-performance compute and storage portfolio, and it supports an increasing ecosystem of main trade partners. The IBM HPDA architecture is in accordance with IBM Storage and IBM software-defined Storage solutions, utility-defined infrastructure, IBM POWER9 servers, and the IBM POWERAI complete AI platform. It defines a enormously bendy, scalable, and inexpensive platform for gaining access to, managing, storing, sharing, integrating, and inspecting tall data inside the constraints of restricted IT budgets. IT businesses can employ the reference architecture as a high-stage engage for overcoming records management challenges and processing bottlenecks often encountered in personalised healthcare initiatives and other compute- and statistics-intensive biomedical workloads.
Introducing the unusual capabilities of the IBM HPDA structure and offering customer success reports aren’t the handiest highlights IBM systems will characteristic at HIMSS19. they can additionally host a breakfast briefing panel dialogue masking the captious function that an HPDA structure can play in assisting healthcare groups remedy some of the largest research and analytics challenges they face. during this panel, Aetna, representatives from Louisiana status university, and Froedtert health will participate how they are accelerating discoveries and improving personalised keeping through the employ of bendy, scalable, at ease, and inexpensive excessive-efficiency systems that may leverage the cloud to exist sure the optimum degrees of information availability, reliability, and compliance.
Come meet their IBM systems HPDA industry specialists for a demo on the IBM booth #6459. And before you go, collect a glimpse of their full periods time table in this blog – Making precision drugs a reality.
February 4, 2019 Alex Woodie
there's a tall records analytics revolution taking region that threatens to divorce the AI haves from the have-nots. agencies that flee the IBM i server wish to collect in on the analytics motion similar to each person else, but AI discussions commonly stray faraway from IBM i. Now Fresche solutions is working to nearby that disconnect with a collection of tutorial lessons founded squarely on the intersection of IBM i and Watson.
closing yr, Fresche options worked with IBM terminal year to Put together a collection of onsite working towards seminars aimed toward giving IBM i professionals the educational tools they need to invoke Watson in their companies. The onsite classes were so a success that Fresche determined to parlay that content material perquisite into a succession of online lessons that IBM i experts can entry at their entertainment through their net browser.
Fresche produced a total of six courses that are divided into two courses, which can exist purchased one at a time or as fragment of a bundle. every classes mingle a combination of lectures and demos, and are accessed remotely via Fresche’s working towards site at practicing.freschesolutions.com.
The instructor for the lessons is Mike Pavlak, the Fresche IT strategist and IBM Champion. in keeping with Pavlak, the primary course, which is titled “Connecting IBM i purposes to Watson,” is geared towards utility developers, whereas the 2nd path, titled “Connecting IBM i information to Watson,” is geared towards statistics engineers and statistics scientists.
the first direction begins with a basic introduction to Watson, before stepping into greater advanced themes within the second phase, similar to using soap and leisure APIs to connect IBM i purposes to Watson. within the third segment, attendees collect in-depth guideline on how to employ open supply analytics packages, equivalent to Python, with Watson and their IBM i applications.
The 2d route begins with the basics of growing database connections between IBM i and Watson, as well as getting access to audit journals and using Watson to research gregarious media. The 2d phase gives developers more superior guidelines on one of the crucial underlying HTTP and JSON options. The third phase guides attendees during the manner of edifice a true-world software that contains information marts, ETL, and Watson’s laptop discovering tech.
The denomination “IBM Watson” may conjure up every kinds of ideas in americans’s minds, however’s in fact now not every that advanced, in response to Pavlak. “Watson is almost a web service,” he says. “It’s software as a carrier. That’s it. That’s every it's.”
The carrier can Do a number of issues, from elementary sample attention and facial cognizance to “full on facts analytics,” Pavlak continues. “nevertheless it’s in simple terms a service-oriented providing — which means, if you need to employ Watson, you’re going to need to push your records and interrogate it questions after which collect a response lower back and parse that as you remark healthy.”
The courses are first rate for anybody who needs greater tips on how Watson applied sciences can combine with IBM i purposes. but Pavlak wants to do sure that the abilities is pertinent to different applied sciences, and is effective in other contexts, too.
“We’re going to through now not simply RPG basics within the category, but additionally tips on how to leverage Watson from open supply tech, and some of those more recent technologies dote Python, php, etc,” he says. “There’s loads of Python that makes up the computer getting to know and deep learning house. Watson itself has Python components.”
“What I’m extra interested is how i can leverage Python from my IBM i to leverage Watson. Or how am i able to employ RPG or Hypertext Preprocessor. What I are looking to do sure customers fill the understanding that they’re not tied into a selected technology, they’re not locked into ‘Oh my gosh, i can simplest employ RPG for this or Python for that.’ you've got flexibility and alternate options available.”
In constructing the curriculum, Fresche worked significantly with the IBM Cognitive team, as well as with IBM leaders from the Rochester lab, together with DB2 for i business architect Scott Forstie and Jesse Gorzinski, IBM i open source enterprise architect. “They had been instrumental in assisting us,” says Fresche options senior director of advertising Christine McDowell.
The on-line courses had been available for the intuition that early October, and Fresche is now ramping up the consciousness crusade to generate demand. “We’re basically enthusiastic about this,” McDowell says. “here's everything you wish to know about Watson.”
Alison Butterill, product offering manager for IBM i, says she’s extraordinarily pleased to peer the path travel online. “We’re working intently with Fresche and together we’re leveraging their global attain and extensive ally community to exist sure that every person is conscious of how effortless it is to do employ of Watson on IBM i,” Butterill says.
Fresche, which bought BCD utility, looksoftware, Databorough, and other sought after IBM i providers, is basically concentrated on selling software used for application modernization. When Fresche engages clients in a modernization initiative, they frequently nascence with a discovery section, which naturally leads to strategy and product roadmap phases down the road.
“loads of times the conversation will flip to statistics analytics,” McDowell says. “Our hobby is completely is making bound that we’re well-versed in what customers can Do with AI, and making bound that flows through so they could do decisions for the longer term.”
providing practicing for IBM Watson is a herbal evolution for Fresche, says Andy Kulakowski, the president and chief government officer of the Montreal, Quebec-based enterprise.
“We give strategic IT tips for digital transformation enablement and application modernization solutions to aid IBM i clients leverage their IT assets,” Kulakowski says. “Our valued clientele rob talents of contemporaneous technologies together with AI, cloud, net and mobile as rig for success. We’re excited to carry working towards with a purpose to aid IBM i valued clientele boost productiveness and supply sustainable growth for the future.”
each analytics appointment is wonderful to a particular business’s mannequin and its method. but early big statistics analytics and AI patterns fill emerged, and practitioners are seeing commonplace issues, comparable to examining gregarious media content material, growing improved customer personalization, and optimizing give chain selections. These are every areas that are ripe for disruption via AI.
“As groups materialize to modernize, they’re taking a search for at operational efficiencies, they’re delivering on more enterprise price, they’re competitive threats,” McDowell says. “They’re taking a search for at the plot they need to exist in five years. technology is a huge fragment of that. It’s a major driver. And examining what analytics can Do for them is a big a fragment of what we’re dealing with.”
Fresche’s two courses can exist institute for $450 each and every, or a bundle with each can moreover exist bought for $799. For extra suggestions, remark practising.freschesolutions.com.related experiences
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Fresche Makes bold movement In IBM i Modernization enviornment
IBM nowadays introduced it is collaborating with Deutsches Elektronen-Synchrotron (DESY), a number one countrywide research middle in Germany, to precipitate up management and storage of big volumes of x-ray statistics. The deliberate huge facts and Analytics structure based on IBM utility defined technology can wield greater than 20 gigabyte per 2d of facts at peak performance and wait on scientists international benefit sooner insights into the atomic constitution of novel semiconductors, catalysts, biological cells and different samples.
DESY's 1.7 mile-lengthy PETRA III accelerator is a super microscope that hurries up electrically charged particles nearly to the velocity of easy – about 186,000 miles per 2d – and sends them through a taut magnetic slalom path to generate probably the most extraordinary x-ray radiation of its kind. This synchrotron radiation is used by using greater than 2,000 scientists each and every year to investigate the interior constitution of a all lot of substances with atomic decision. A key challenge during this technique is storing and coping with tall volumes of X-ray facts. .
"a typical detector generates a erudition stream of about 5 Gigabit per 2d, which is about the statistics volume of 1 finished CD-ROM per 2nd," observed Dr. Volker Gülzow, head of DESY IT. "And at PETRA III they Do not fill only 1 detector, but 14 beamlines fitted with many detectors, and they're currently being extended to 24. every this huge facts must exist stored and dealt with reliably."IBM utility described Storage expertise code identify Elastic Storage permits DESY to do employ of to shop and address the massive records flowing from PETRA III each 2d. credit score: DESY
DESY is addressing this massive statistics challenge with the aid of IBM research and IBM utility described Storage expertise code identify Elastic Storage that may scale simply to withhold and wield more than 20 Gigabyte of data flowing each 2d from PETRA III. Elastic Storage can deliver scientists with high-speed entry to increasing volumes of research information. This structure will allow DESY to strengthen an open ecosystem for research and present analysis-as-a-carrier and cloud options to its users global.
"IBM's application described storage technologies can deliver DESY the scalability, precipitate and agility it requires to morph into a true-time analytics service company." spoke of Jamie Thomas, ordinary supervisor Storage and application described systems, IBM. "IBM can rob the adventure received at DESY and transfer it to other fields of information intensive science comparable to astronomy, local weather analysis and geophysics and design storage architectures for the evaluation of data generated by means of allotted detectors and sensors."
The scalability of the gadget can aid DESY and a number of alien partners which are at the instant edifice the X-ray laser European XFEL, a research easy supply in order to generate even more information. "We prognosticate about one hundred Petabyte per 12 months from the ecu XFEL," spoke of Dr. Gülzow. this is corresponding to the each year statistics quantity produced at the world's greatest particle accelerator, the tremendous Hadron Collider (LHC) at the analysis core CERN in Geneva.
DESY is among the world's main accelerator facilities and a member of the Helmholtz association. It develops, builds and operates giant particle accelerators used to examine the constitution of rely. DESY is housed in Hamburg and Zeuthen in Germany and is home to 3000 scientists from over 40 international locations a year.
discover extra: photo voltaic cell degradation observed at once for the first time
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NEW YORK -- Hortonworks forged a deal with IBM and Red Hat to bear the Open Hybrid Architecture Initiative. The goal of the Hortonworks alliance is to build a common architecture for tall data workloads running both on the cloud and in on-premises data centers.
Central to the unusual Hortonworks alliance initiative is the employ of Kubernetes-managed containers. Such container-based data schemes for the cloud increasingly materialize to set the tone for tall data architecture in future data centers within organizations.
Hortonworks' deal was discussed as fragment of the Strata Data Conference here, where computing heavyweight Dell EMC moreover disclosed an agreement with data container specialist BlueData Software to present users with a reference architecture that brings cloud-style containers on premises.Big data infrastructure shifts
Both deals indicate changes are afoot in infrastructure for tall data. Container-based data schemes for cloud environments are starting to exhibit the route that data will exist handled in the future within organizations.
The Hortonworks alliance hybrid initiative -- as well as Dell's and other reference architecture -- reflects changes spurred by the multitude of analytics engines now available to wield data workloads and the growing promenade of tall data applications to the cloud, Gartner analyst Arun Chandrasekaran said in an interview.
"Historically, tall data was about coupling compute and storage together. That worked pretty well when MapReduce was the sole engine. Now, there are multiple processing engines working on the very data lake," Chandrasekaran said. "That means, in many cases, customers are thinking about decoupling compute and storage."De-linking computing and storage
Essentially, modern cloud deployments divorce those two elements, Chandrasekaran said. This approach is seeing greater interest in containerizing tall data workloads for portability, he noted.
We are decoupling storage and compute again. Arun Murthychief product officer and co-founder, Hortonworks
The shifts in architecture toward container orchestration exhibit people want to employ their infrastructure more efficiently, Chandrasekaran said.
The Hortonworks alliance with Red Hat and IBM shows a basic change is underway for the Hadoop-style open source distributed data processing framework. Cloud and on-premises architectural schemes are blending.
"We are decoupling storage and compute again," said Arun Murthy, chief product officer and co-founder of Hortonworks, based in Santa Clara, Calif. "As a result, the architecture will exist consistent whether processing is on premises or on cloud or on different clouds."The elastic cloud
This style of architecture pays heed to elastic cloud methods that let users spin up tall data clusters when needed for processing jobs and rob them offline when they aren't.This week's Strata Data Conference in unusual York included a focus on Hortonworks' deal with IBM and Red Hat, an agreement between Dell EMC and BlueData, and more.
"In public cloud, you don't withhold the architecture up and running if you don't fill to," Murthy said in an interview.
That's compared with how Hadoop systems typically get deployed in the data center, where clusters are often configured and left in plot to sit ready for high-peak workloads.
For Lars Herrmann, generic manager of the integrated solutions business unit at Red Hat, based in Raleigh, N.C., the Hortonworks alliance project is a step toward bringing in a big class of data applications to flee natively on the OpenShift container platform. It's moreover about deploying applications more quickly.
"The conception of containerization of applications allows organizations to exist more agile. It is fragment of the trend they remark of people adopting DevOps methods," Herrmann said.Supercharging on-premises applications
For its part, Dell EMC sees spinning up data applications more quickly on premises as an Important fragment of the reference architecture it has created with wait on from BlueData.
"With the container approach, you can deploy different software on exact to different infrastructure," Kevin Gray, director of product marketing at Dell EMC, said in an interview at the Strata conference.
The notion of multi-cloud uphold for containers is popular, and Hadoop management and deployment software providers are moving to uphold various clouds. At Strata, BlueData made its EPIC software available on Google Cloud Platform and Microsoft Azure. EPIC cloud uphold was already available on the AWS cloud.Big data evolves to singular architecture
Tangible benefits will accrue as tall data architecture evolves IT shops to a more singular environment for data processing on the cloud and in the data center, said Mike Matchett, principal consultant and founder of IT industry advisory difficult miniature World tall Data.
"Platforms need to exist built such that they can wield distributed toil and deal with distributed data. They will exist the very on premises as on the cloud. And, in most cases, they will exist hybridized, so the data and the processing can stream back and forth," Matchett said in an interview at the conference.
Some special optimizations will soundless exist required for performance reasons, Matchett added. And IT managers will fill to do decisions based on different workloads as to where particular analytics processing will exist done, he said.
Red Hat RHT recently announced a collaboration with Hortonworks HDP and International business Machines IBM for Open Hybrid Architecture Initiative, which is aimed at bringing tall data to hybrid cloud environments.
The initiative is aimed at managing tall data workloads across multi-cloud, edge architectures and hybrid on-premises to wait on customers rob keeping of their data and access analytical and decision-making applications.
With data increasing at a massive pace, enterprises require applications and security to wait on them arrive at business decisions faster than ever. The collaboration will cater to this need and moreover provide customized tools that can exist deployed on-premise with hybrid cloud environments.
Red Hat’s collaboration with Hortonworks and IBM will wait on deploy tall data analytical tools, machine learning, cloud management solutions and security on Red Hat OpenShift enterprise container and Kubernetes application platform.
Reportedly, Hortonworks will toil to certify its tall data products Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as “Red Hat Certified Containers on Red Hat OpenShift.”
Moreover, IBM is moreover working toward Red Hat OpenShift certification process for its private cloud platform.
Notably, IBM and Hortonworks will continue their collaboration made terminal June to provide enterprises with determination making power based on informative data output sets.
We believe this collaboration will wait on Red Hat’s customers rob handicap of the hybrid data architecture, which enables quick determination making.
Moreover, Red Hat’s partners fill played an Important role in helping the company deliver value and success to its customers.
Red Hat, Inc. Revenue (TTM)
Red Hat, Inc. Revenue (TTM) | Red Hat, Inc. Quote
Partnerships to Boost the Top Line
Red Hat’s expanding ally groundwork with established IT players dote Hewlett Packard Enterprise, IBM, Microsoft MSFT, Oracle, SAP SE, Cisco, Dell, Fujitsu Limited and many others is a positive.
Additionally, the company’s collaborations with cloud providers dote Amazon, Google and Alibaba position it for deal wins on a continuous basis. This is expected drive deferred revenues. Notably, in the terminal reported quarter, total deferred revenues increased 19% year over year to $2.4 billion.However, Pivotal Container Service (PKS) formed through the partnership of Google, Pivotal and VMware is a significant threat in this regard. Moreover, Red Hat’s increasing investments on emerging technologies is expected to Put pressure on margins.
Nevertheless, this Zacks Rank #3 (Hold) company is expected to benefit from its growing partnerships with tall names and robust exact for OpenShift.
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Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to collect this free report International business Machines Corporation (IBM) : Free Stock Analysis Report Hortonworks, Inc. (HDP) : Free Stock Analysis Report Microsoft Corporation (MSFT) : Free Stock Analysis Report Red Hat, Inc. (RHT) : Free Stock Analysis Report To read this article on Zacks.com click here. Zacks Investment Research
Hortonworks, IBM and Red Hat announced on Monday an Open Hybrid Architecture Initiative, a unusual collaborative application the companies can employ to build a common enterprise deployment model that is designed to enable tall data workloads to flee in a hybrid manner across on-premises, multi-cloud and edge architectures.
As the initial phase of the initiative, the companies map to toil together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for employ on RedHat OpenShift, an enterprise container and Kubernetes application platform. This allows users to develop and deploy containerized tall data workloads, making it easier for customers to manage data applications across hybrid cloud deployments. In addition, IBM and Hortonworks will extend their joint toil to integrate key services offered through Hortonworks DataPlane with IBM Cloud Private for Data.
The initiative includes Hortonworks plans to certify Hortonworks Data Platform, Hortonworks DataFlow and Hortonworks DataPlane as Red Hat Certified Containers on Red Hat OpenShift and looks forward to achieving “Primed” designation.
In addition, Hortonworks will enhance HDP to adopt a cloud-native architecture for on-premises deployments by separating compute and storage and containerizing every Hortonworks Data Platform and Hortonworks DataFlow workloads. This allows customers to more easily adopt a hybrid architecture for tall data applications and analytics, every with the common and trusted security features, data governance and operations that enterprises require.
IBM, which announced plans earlier this year to extend IBM Cloud Private platform and middleware to the OpenShift platform, has begun the Red Hat OpenShift certification process for IBM Cloud Private for Data, and has achieved “Primed” designation as the first phase.
The promenade will wait on provide the vast OpenShift community of developers and users – which embrace IBM and Hortonworks clients – dote a glitter access to robust analytics, data science, machine learning, data management and governance capabilities, fully supported across hybrid clouds.
Enterprises are undergoing massive business model transformations, powered by the capacity to process and analyze unusual types and tremendous amounts of data. As a result, many are moving to hybrid cloud environments that leverage lightweight microservices in the most efficient manner possible.
Hortonworks and IBM previously announced a collaboration to wait on businesses accelerate data-driven decision-making. Today’s news builds upon that foundation with the intent to bring tall data workloads to a modern and container-based foundation, enabling customers to deploy Hortonworks and IBM platforms into a hybrid cloud environment powered by Red Hat OpenShift.
“Kubernetes is the de facto container orchestration system and they fill been working in this ecosystem since the project’s infancy to wait on do it ready for all, and especially the enterprise in Red Hat OpenShift. Today they are thrilled that Hortonworks and IBM Cloud Private’s data portfolio fill selected Red Hat OpenShift as the trusted Kubernetes platform for tall data workloads,” said Ashesh Badani, vice president and generic manager, Cloud Platforms, Red Hat. “By edifice and managing their applications via containers and Kubernetes with OpenShift, customers and the tall data ecosystem fill opportunities to bring this next generation of tall data workloads to the hybrid cloud and deliver the benefits of an agile, efficient, reliable, multi-cloud infrastructure.”
“The toil that Red Hat, IBM and Hortonworks are doing to modernize enterprise tall data workloads via containerization is aimed at helping customers to rob handicap of the agility, economics and scale of a hybrid data architecture,” said Rob Bearden, chief executive officer of Hortonworks. “The innovations resulting from this collaboration can enable the seamless and trusted hybrid deployment model needed today by enterprises that are undergoing significant business model transformation.”
In addition to competitive and data challenges, organizations are moreover scrambling to bring applications once designed for public cloud behind the firewall for greater control, lower costs, greater security and easier management. In fact, in a recent IDC Cloud and AI Adoption Survey, more than 80 percent of respondents said they map to promenade or repatriate data and workloads from public cloud environments behind the firewall to hosted private clouds or on-premises locations over the next year, because the initial expectations of a separate public cloud provider were not realized.
“As these dynamics continue, they’ll toil to gradual innovation and impede companies’ progression to enterprise AI,” said Rob Thomas, generic manager, IBM Analytics. “Scaling the ladder to AI demands robust data prep, analytics, data science and governance, every of which are easily scaled and streamlined in the benign of containerized, Kubernetes-orchestrated environments that we’re talking about today.”
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