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C9560-658 Fundamentals of Applying IBM SmartCloud Application Performance Management

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IBM Fundamentals of Applying IBM

evaluation: IBM CEO declares Chapter 2 of Cloud and AI at IBM think 2019 | killexams.com Real Questions and Pass4sure dumps

In 2013, IBM had a wakeup call.

It misplaced an important cloud deal at the CIA to AWS. IBM protested the contract exposing in the past personal details. In a excessive profile choice, judge Thomas Wheeler ruled in opposition t IBM regardless of the obvious bigger fee bid submitted through AWS. The final analysis is AWS’ cloud offering changed into seen as sophisticated to IBM’s.

less than twenty-four months into her tenure as IBM’s CEO, Ginni Rometty understood the critical. IBM needed to make a stream to get into the public cloud game or it would be neglected in the bloodless, lots like HP, Cisco, EMC, VMware, and different colossal tech enterprises on the time. IBM paid $2B to acquire Softlayer and has since converted the platform right into a conceivable offering from which it intends to re-write the cloud narrative.

here’s a paraphrase of the premise put forth through IBM’s Chairman and CEO at this week’s IBM think conference in San Francisco:  

Chapter one of the cloud represented about 20% of the workload possibility. It become mostly about relocating loads of new and customer-dealing with applications to the cloud. Chapter two is about the tough stuff. It’s about scaling AI and growing hybrid clouds. It’s about bringing the cloud working mannequin to all those mission-crucial apps and enabling shoppers to manipulate statistics, workloads, and apps and stream them between assorted clouds. here's one trillion greenback chance and IBM intends to be #1.

IBM isn't alone in its aspiration. massive agencies like Cisco, VMware, and even HPE have somewhat similar aspirations. As does ServiceNow and a bunch of smaller expert establishments. and of course, the public cloud giants including AWS and Microsoft have their own ideas about Chapter 2 of the cloud era.

To claim a leadership place in Chapter 2, IBM is spending $34B to purchase red Hat. here is an immense circulate on the chess board and underscores that the IBM Cloud and a decade of attempting to commercialize Watson aren’t enough to win the day. reasonably it sees open source, Kubernetes, containers, microservices, and builders as a lynchpin to success in the subsequent chapter of the cloud.

a short evaluate of Chapter One

There’s much debate about who first created the time period cloud computing. There’s little doubt although that Jeff Barr’s blog publish in the summertime of 2006, saying AWS’ Elastic Compute Cloud, ushered in the up to date era of cloud - so-referred to as Chapter 1. In his put up, Barr wrote:

With Amazon EC2, you don’t need to acquire hardware in improve of your wants. as an alternative, you effortlessly flip up the dial, spawning greater digital CPUs, as your processing needs develop.  

His fact underscored probably the most fundamental cost proposition of cloud - pay for under what you employ mannequin. This, of path, turned into the primary of a large number of innovations and capabilities - all purchasable with the swipe of a bank card, to be dialed up on demand. Startups flocked and tapped world-type data center features in the past only available to giant businesses.

The economic downturn of 2007-2009 led CFOs to mandate a shift from Capex to Opex and when the economic climate grew to become up, companies realized that their cloud adventure enabled an awful lot superior agility. Shadow IT-powered the subsequent part of boom and as “cloud creep” permeated the market - IT hopped on board and hasn’t appeared back.

certainly, Microsoft modified itself to the cloud the usage of the formula of: 1) An open supply approach - alignment and guide (open compute, linux on .internet, and many others.); 2) Cloudify all things Microsoft and making Azure, no longer windows, the center of its universe; and 3) bundling workplace 365 to exhibit income from no longer only IaaS however SaaS.

Joined via Google, which used its dominant international search infrastructure to stake its declare within the cloud, the large three cleared the path for a new economic model based on scale, innovation and automation, making use of utility economics to the concept of infrastructure deployment and administration features (See Figures 1 & 2 under).

commercial enterprise IT Economics 1990-2010SiliconAngle.com

commercial enterprise IT Economics 2010-2030SiliconAngle.com

Key elements in the Charts:

  • historically, the marginal can charge of utility strategies zero whereas services have terrible economies of scale;
  • With cloud - infrastructure capabilities song greater carefully to software economics - enabling large scale (and profitability) for these with extent (i.e. AWS, Microsoft, and Google);
  • ordinary infrastructure agencies struggle to hold on to legacy put in bases;
  • Cloud companies with a SaaS portfolio (Oracle, IBM, Microsoft) have “up-the-stack” value merits they can use as a bulwark in opposition t the commoditization of their organizations.
  • IBM’s possibilities for Chapter 2 management depend on information

    before diving into the pink Hat piece of the puzzle, they must aspect returned to information. In their view, IBM is working intently with valued clientele to build a digital business material the place statistics is still the underpinning of its strategy to force a brand new period of analytics based on AI. IBM sees statistics as a fundamental ingredient in bringing contextual relevance to company applications. What we’re seeing is because of IBM’s big services enterprise and deep trade talents it’s earned the correct to aid purchasers construct digital networks and transform business fashions. IBM’s big purchasers are becoming this. They’re now not looking to IBM to with ease bring features or relaxed their infrastructure or sell them SaaS - fairly they’re trying to find IBM to assist them transform and deliver new enterprise fashions. We’re seeing this in healthcare, economic services, agriculture, energy, coverage and very nearly all industries wherein IBM has a presence globally.

    IBM’s probability as they see it's to help corporations take into account the way to make cash the usage of records. no longer necessarily by means of at once promoting their records but deciding how to monetize statistics. What they see IBM doing is taking what has been generally piecemeal, statistics-oriented AI initiatives and growing what Rometty calls “outdoor / In” - i.e. customer adventure oriented applications and “interior / Out” - i.e. workflow and new the right way to work applications - each which make contributions to base line results. greater importantly, IBM wants to assist the client fully transform their business operations.

    to accomplish this, IBM is supplying a business platform - fueled through records, and a machine intelligence platform - i.e. tooling and capabilities to extract price from records and operationalize AI.

    Enter pink Hat  

    IBM didn’t release any new particulars about red Hat at believe, possibly because of regulatory considerations. however with pink Hat, IBM can enable a brand new breed of utility builders - for businesses - the use of cloud-native tooling. records is the key ingredient to rising business functions and with pink Hat in its portfolio, IBM can “cloudify” and “information-fy” organizations and position itself as contemporary and significant. more importantly, it will probably dramatically scale pink Hat’s company globally.

    pink Hat for IBM emerges as a vehicle for generating spinoff leverage out of IBM ecosystem utility and industry capabilities. With RHEL, OpenShift and eight million crimson Hat builders, IBM can aid its customers modernize their utility portfolios and transform company operations...growing a brand new breed of digital enterprise developers.

    believe statements made with the aid of Ginni Rometty and Jim Whitehurst right through their mini roadshow after saying the crimson Hat acquisition. Ginni stored saying “this isn’t a backend loaded deal.” What did she mean? In their view, she became nearly explaining the company case for IBM paying a 60%+ premium over pink Hat’s stock price prior to the deal being introduced. specifically, IBM has an enormous installed base of capabilities customers (a $20+B captive opportunity in their estimate) at which it can aspect crimson Hat PaaS tooling to modernize application portfolios and construct the longer term digital enterprise platform for/with valued clientele.

    So out of the chute, IBM can instantly begin scaling crimson Hat’s company, marrying deep business advantage, the sprawling IBM SaaS portfolio, the IBM Cloud (the place relevant), AI infused everywhere and pink Hat PaaS to join consumer statistics, workloads, and functions to any cloud or on-prem installation.

    longer term, IBM can, along with its shoppers, fully undertake modern software construction practices to codify its deep trade advantage and build out transformative company and AI structures to assist incumbent businesses compete within the digital era.

    The competitive landscape

    in case you don’t own a public cloud, you go challenging after multi-cloud. To wit: VMware exited public cloud after years of attempting to commercialize VCloud Air. It ultimately settled on a deal with AWS and sold off its public cloud. VMware is Dell’s ace in the gap for multi-cloud. Cisco currently announced its multi-cloud approach at Cisco are living Barcelona which comes at the problem from a robust position in networking. As networks flatten - Cisco may also be the glue between clouds with software administration and orchestration framework for networked statistics-- not a foul approach. HP tried and failed in the public cloud game and HPE is trying to be a issuer of multi-cloud features however is essentially relying on packaging its hardware, services and a few minimal utility content material.

    of these gamers, only Cisco has any meaningful presence with builders. IBM with purple Hat gets entry to eight million devs.

    As such, IBM has an improved place than these gamers-- albeit extra advanced. It owns a public cloud presence and while now not basically as massive as AWS in IaaS, IBM has a big SaaS portfolio. Like Oracle, it doesn’t have to compete for commodity business in opposition t AWS, fairly it could possibly sell cost “up the stack” the use of SaaS as a excessive-value play. As smartly, it’s AI runs on the cloud and it just introduced at feel that it’s opening up Watson to run on any on-prem, public or hybrid cloud (an extended past due circulate in their opinion). prior to now, in case you wanted Watson you might handiest get it on IBM’s cloud.

    Microsoft evidently could have its say in Chapter 2 of the cloud. With its acquisition of GitHub and massive utility estate, mixed with a leading cloud at scale, Microsoft holds loads of playing cards. it is investing in AI and has a robust facts attitude.

    Google Cloud is resetting with new management and is taking part in the lengthy online game. It naturally has AI chops and a powerful statistics perspective.

    Then there’s AWS. Amazon’s announcement of Outposts indicates that it can and may evolve and alter its spots. nowadays, AWS makes a powerful case for a single versus a multi-cloud method - arguing that dissimilar clouds are much less comfortable, greater complex and greater expensive. while credible in its place, the reality is multi-cloud is like multi-seller. There’s now not a procurement czar internal of each company so as to dictate a single cloud. As such if AWS sees a chance to manage numerous clouds it's going to enter the space in their view.

    final recommendations

    the new “innovation cocktail” combines facts + AI + Cloud. a common facts model brings a aggressive abilities within the digital world. machine intelligence (AI) utilized to information drives insights and cloud enables scale and attracts innovation through ecosystems. IBM is combining these three elements to compete in the subsequent chapter of expertise industry growth.

    IBM, like Microsoft, is cloudifying its offerings to assist its customers’ digital transformations. through bringing the cloud to its items, constructing facts networks with valued clientele, applying AI in all places and leveraging purple Hat, it may well catalyze a brand new class of enterprise builders and go hard after the multi-cloud possibility that exists.

    We consider, youngsters, that the multi-cloud world might be messy. today, multi-cloud is as a good deal a multi- (cloud) dealer incidence versus a deliberate approach. nevertheless, patrons will continue to choose horses for lessons - that means the appropriate cloud for the correct workload - and so one can inevitably lead to diverse clouds and opportunities for simplified management, protection, governance, and information leverage.

    today, about half of IBM’s profits comes from so-called Strategic Imperatives. That piece must grow quicker than the different half declines. furthermore, about sixty p.c of IBM’s salary comes from consulting and professional features. The good information there is it offers IBM deep visibility and relationships into essentially all international industries. The draw back is that company doesn’t scale as neatly. As such IBM’s finest energy is its greatest challenge. The wonderful opportunity dealing with IBM is to codify that deep trade competencies in software, the usage of facts because the key ingredient for brand spanking new business applications constructed on cloud-native PaaS tooling - and scaling to the cloud, any cloud.  

    this is a differentiable story and one that protects IBM from getting Amazon’d while on the identical time allowing the business to power margin improvements over time. IBM’s Rometty has spent the closing 5-6 years getting ready the business for this next chapter.

    Now huge Blue should exhibit that Elephants can dance, dash and run marathons.

    comply with the entire IBM feel 2019 reside video insurance right here: https://www.thecube.web/ibmthink2019

    ship us comments on Twitter @furrier @dvellante


    IBM Allegedly Made Job applicants choose ‘Yellow’, ‘Mulatto’ and ‘colored’ as Ethnic neighborhood | killexams.com Real Questions and Pass4sure dumps

    computing device hardware business IBM is stirring controversy after the use of the terms: “Yellow”, “Mulato”[sic] and “colored” for the ethnic group alternate options in a job utility.

    The use of these old-fashioned racial phrases had been discovered on IBM’s website for their UX/interplay Design Intern/Coop job application.

    When an applicant observed these ethnic neighborhood labels he took to Twitter to criticize the business for his or her lack of know-how, writing, “aren’t these ethnic community labels a little antiquated? To make concerns worse, I couldn’t post my application w/o choosing an choice. i finished up opting for ‘Yellow’ and ‘colored.'”

    whereas some Twitter users tried to make experience of the condition by using suggesting this may well be the influence of cultural variations if the utility was made for a position backyard of the U.S., the software for this certain position on IBM’s web page certainly states that the internship is located in a few cities throughout the us.

    These labels, which can be found below the “additional info” tab and “Please state your Ethnic group” section, lists “Indigenous”, “Caucasian”, “Black”, “Yellow”, “Mulato” [sic], and “not a Brazil country wide” as its alternate options.

    right under this question, there's a 2d “Please state your Ethnic neighborhood” category which is also compulsory and lists “African”, “Indian”, “colored”, “White”, “None of these”, and “no longer a South African country wide” because the alternate options.

    it'll be referred to that the use of the time period “yellow” when relating to individuals of East Asian origin has been traditionally linked to violence, discrimination and exclusion. This formula of racial color-coding became developed with the aid of westerners who used the time period “yellow race” to their potential, making it synonymous with abnormality. in the U.S., the arrival of Asian immigrants became also known as the “yellow peril”  — a enormously poor term that become designed to conjure up images of overpopulation, social regression and heathenism.

    Likewise, the term “mulatto” dates returned to slavery times, as a means of regarding blended-race americans. although, many linguists have defined that this term is derived from the Spanish and Portuguese notice for “mule” and has long been used as a derogatory term against bi-racial people.

    we've reached out to IBM for a response and should update this story for that reason.

    Featured photograph via Flickr / Patrick H (CC by way of 2.0)


    IBM's Watson anywhere Highlights fact Of A Multi-Cloud World | killexams.com Real Questions and Pass4sure dumps

    abstract

    The bulletins IBM made eventually week's suppose 2019 convention around Watson AI services are smartly timed to fulfill evolving cloud computing calls for.

    IBM noted that via their Watson any place initiative they are making Watson AI capabilities attainable across AWS, Azure and GCP, in addition to their own IBM Cloud offerings.

    For cases the place companies may additionally are looking to improve and/or run AI-based functions in private clouds or their personal information facilities, the enterprise is licensing Watson to be in a position to run in the community.

    Ever considering the rise to prominence of cloud computing, they have now considered agencies grapple with a way to gold standard think about and leverage this new means of computing. Some companies, notably net-focused ones, dove in head first and still have their entire existence dependent on capabilities like Amazon's AWS (Amazon web functions) (NASDAQ:AMZN), Microsoft's Azure (NASDAQ:MSFT), and Google's Cloud Platform (GCP) (NASDAQ:GOOG) (NASDAQ:GOOGL). for many ordinary businesses, however, the system of relocating toward the cloud hasn't been just about as clear, nor as easy. on account of significant investments of their personal physical records facilities, lots of legacy applications, and a lot of different personalized software investments that weren't at the start designed with the cloud in intellect, the transition to cloud computing has been a great deal slower.

    one of the vital hindrances in moving to the cloud for these usual vendors is that the shift has often required a monolithic change to a completely new, different classification of computing. needless to say, it's now not effortless to do, chiefly if the alternative you are moving to is considered as a unique alternative, with few options. In selected, as a result of AWS was so dominant within the early days of cloud computing, many businesses had been terrified of getting locked into this new environment.

    As alternative cloud computing offerings from Microsoft, Google, IBM (NYSE:IBM), Oracle (NYSE:ORCL), SAP (NYSE:SAP) and others began to kick in, besides the fact that children, agencies begun to peer that numerous practicable options had been purchasable. What's been going on in the cloud computing world over the ultimate 12-18 months is greater than just a simple increase in aggressive options. it be a significant enlargement in brooding about the way to approach computing within the cloud. With multi-cloud, as an example, agencies at the moment are embracing, as opposed to rejecting, the concept of having different types of workloads hosted by way of distinctive carriers.

    In a means, we're seeing cloud computing evolve in the same direction to average computing developments, but at a tons quicker pace. The initial AWS offerings, for example, weren't that conceptually different from mainframe-based mostly efforts, focused round a platform controlled by using a single dealer. The combination of new offerings from other providers as well as different types of supported workloads can be viewed as a theoretical similar to extra heterogenous computing fashions. The move to containers and microservices across multiple cloud computing providers in many ways mirrors the customer-server evolution stage of computing. eventually, the contemporary building of "serverless" fashions for cloud computing can be considered roughly analogous to the advancements in edge computing.

    during this context, announcements that IBM made eventually week's consider 2019 convention around their Watson AI capabilities are neatly timed to satisfy evolving cloud computing demands. mainly, the business stated that through their Watson any place initiative they were going to be making Watson AI services available throughout AWS, Azure, and GCP, besides their personal IBM Cloud choices. additionally, for instances where corporations might also wish to strengthen and-or run AI-based mostly applications in inner most clouds or their personal statistics facilities, the enterprise is licensing Watson to be able to run in the neighborhood.

    building on the enterprise's Cloud private for records as a base platform, IBM is offering a decision of Watson APIs or direct entry to the Watson Assistant throughout all the previously outlined cloud systems, in addition to methods operating pink Hat OpenShift or Open Stack throughout quite a lot of diverse environments.

    This gives groups the flexibleness they at the moment are anticipating to access these capabilities throughout a range of cloud computing choices. actually, organizations can get the AI computing supplies they want, even with the classification of cloud computing efforts they've chosen to make. even if or not it's adding cognitive features capabilities to an present legacy application that is been lifted and shifted to the cloud, or architecting a wholly new microservices-primarily based provider leveraging cloud-native structures and protocols, the range of flexibility being offered to organizations trying to flow greater of their efforts to the cloud are transforming into dramatically.

    vendors who need to address these wants will have to adopt this greater bendy classification of thinking and adapt or boost capabilities that healthy not best the reality of the multi-cloud world, however the range of choices that these new alternatives are beginning to enable. The implications of multi-cloud are greatly higher, youngsters, than just having a choice of companies or choosing to host certain workloads with one vendor and other workloads with another. Multi-cloud is in reality enabling organizations to think about cloud computing in a greater bendy, approachable means. it's exactly the sort of construction the trade must take cloud computing into the mainstream.

    Disclaimer: one of the writer's clients are providers in the tech industry.

    Disclosure: None.

    SeekingAlpha

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    The Ultimate List of Free Online Classes for Product Managers in 2019 | killexams.com real questions and Pass4sure dumps

    The 3 Best Courses for Product Management Fundamentals:

    Digital Product Management: Modern Fundamentals. — Coursera — Audit for free, verified certificate for $79

    This course is designed for anyone interested in becoming a product manager, including current project or product managers who want to learn modern fundamentals.

    Digital Product Management — EdX + Boston University — Audit for free, verified certificate $200

    This 5-course “MicroMasters” includes courses on agile, Design Thinking, platform strategy and business analytics.

    Software Product Management Specialization — Coursera — Audit for free, $49 a month

    I completed this entire specialization last year, and found it to be a great foundation for new product managers, and an excellent, over-all refresher for seasoned PMs.

    Learn about data science.

    Coursera has a whole new academy dedicated to data science. I plan on taking a couple of courses here myself in 2019. Explore the whole academy and its offerings here.

    IBM Data Science Professional Certificate — Coursera— $39/month

    This course is for ‘beginners.’ With learning programs ranging from courses to degrees that teach R, Python, SQL, and other top data science skills, this is a great overall course in data science.

    Programming for Data Science — Udacity — $45/month

    This course is technical in nature but covers everything from SQL to Python.

    Data Analyst Nanodegree — Udacity — $899 or $75/month

    OK, so this one isn’t exactly free or really ‘low-cost,’ but if you’re looking for a business-focused data science course, this ‘nanodegree’ is on my list of things to accomplish in the next couple of years.

    Learn about software development process.

    Software Development Process — Udacity — Free

    Offered in partnership with Georgia Tech, this class will teach you how to select and implement the ideal software process for your development project.

    Software Development Processes and Methodologies — Coursera — Audit for free, $49 a month

    This course looks at traditional processes (waterfall) as well as more ‘modern’ methodologies (Agile and Lean) — a good overall course for all types of methodologies.

    Learn the fundamentals of product design.

    Product Design — Udacity — Free

    This course “is designed to help you materialize your game-changing idea and transform it into a product that you can build a business around.” Learn about product validation, UI/UX practices, and most importantly Google’s Design Sprint and the process for setting and tracking actionable metrics.

    Design Patterns — Coursera + University of Alberta — Audit for free

    Learn how to incorporate consistent, intuitive design patterns into your product. The ultimate goal/ final project is to redesign an existing Java-based Android application using the design patterns learned in class. A great class for PMs new to apps/ design patterns.

    Learn about machine learning.

    Machine Learning — Coursera + Stanford — Audit for free, verified certificate for $99

    This course does get technical. But if you’re just looking to understand concepts, I’d focus on the Introduction (Week 1), Neural Networks (Weeks 4 & 5), Advice for Applying Machine Learning (Week 6), and Recommender Systems (Week 9).

    Episode 16 of the Product Popcorn Podcast — I talk over the basics of supervised and unsupervised learning, reinforcement learning, and neural networks with machine learning engineer Kate Silverstein. Learn the basics in under an hour.

    Learn about deep learning… from a business perspective.

    Deep Learning for Business — Coursera — Audit for free, verified certificate for $49

    It’s not often I see a great course focused on a technical subject, but from a business perspective. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products.

    Learn to build personas for your enterprise B2B product.

    Product Management and Marketing: Personas — Udemy — $95

    Learn how to build, critique, and apply the B2B “buyer persona” to your enterprise or start-up business.

    Learn about customer analytics.

    Customer Analytics — Coursera + U of Pennsylvania — Audit for free, verified certificate for $49

    Learn about the three main types of customer analytics — descriptive analytics, predictive analytics, prescriptive analytics — and their application to real-world business practices including Amazon, Google, and Starbucks, among others.

    Learn to make better data-driven decisions.

    Business Analytics for Data-Driven Decision Making — EdX + Boston University — Audit for free, verified certificate for $200

    I feel like ‘data-driven decisions’ is the catch phrase of the century. But how many product managers really know how to do this? This course teaches the fundamentals of making data-driven decisions.

    Learn about product marketing, messaging and media landscape.

    Content, Advertising, and Social IMC — Coursera + Northwestern — Audit for free, $49 a month

    Learn to take a thoughtful, integrated approach to content that stands out. You will learn “why developing engaging content for your audience is an essential component in effective social marketing.” This class also explains paid/owned/earned media, and walks you through an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share.

    Learn about social listening and insights.

    The Importance of Listening — Coursera + Northwestern — Audit for free, verified certificate for $49

    Looking for in-depth knowledge of social listening and customer insights? This course explores the Big Data of social, and helps gain a complete picture of what can be learned from interactions on social sites. This course is also part of a 6-course Specialization in Social Media Marketing, but I find the social listening course is most relevant to software product managers.

    Learn to use Big Data.

    Knowledge Management and Big Data in Business — EdX — Audit for free, verified certificate for $50

    This course is geared towards business peeps, and explores what big data is, and how can they use data analytics. It explores case studies for perspective and context.

    Learn how to do Agile testing.

    Testing with Agile — Coursera — Audit for free, verified certificate for $49

    This course shows you how to integrate the practice of experimentation across concept/feature testing, usability testing, and testing the software itself. Basically, you’ll learn how to answer these four big questions with experiments: 1. Should they build it? 2. Did it matter? 3. Is it usable? 4. Did it break?

    Learn to develop data products.

    Developing Data Products — Coursera + John’s Hopkins — Free for 7 days, then $49/month

    This is the last course in a 9-course Data Science Specialization, so it does require some statistical knowledge to get through it. However, if you’re not interested in the technical parts, I’d recommend just auditing the course materials to get the gist of it.

    Learn about blockchain … from a business perspective.

    Blockchain for Business — An Introduction to Hyperledger Technologies — EdX — Audit for free, verified certificate for $99

    This is an intro level course for technical and non-technical peeps. It examines blockchains for business, and a number of specific use cases. If you’re curious about blockchain — or you work in FinTech (you must know about blockchain if you work in FinTech), this course is highly recommended!

    Learn product marketing for apps.

    App Marketing — Udacity — Free

    Are you a mobile product manager, looking to increase you knowledge on the marketing side? This free course from Udacity explores app marketing. Understand your users, develop a market segmentation plan, position your product, and create a value proposition.

    Learn negotiation skills.

    Successful Negotiation: Essential Skills — Coursera + University of Michigan — Audit for free, verified certificate for $49

    One student who binge-watched this course concluded that “It’s as good as Breaking Bad.” Another learner compared it to “House of Cards.” Either way, this video-based negotiation course is hosted by one of the top 10 business schools in the country, and you can audit it for free. Which is good news for PMs, because all product managers need stellar negotiation skills.

    Negotiation Skills Tutorial — Lynda.com — Free for 7-day trial, $20–30/month for Lynda subscription

    Looking for a (very) short course on negotiation? Try this 2-hour tutorial.

    Learn how to effectively price and promote your product.

    Price and Promotion Analytics — EdX — Free or verified certificate for $199

    The product I manage was recently involved in a pricing structure overhaul. I wish I’d taken this course beforehand, so I could have contributed more to the conversation. This course covers: How to price your offerings, how to allocate your scarce marketing budget among different promotion vehicles.

    Improve your strategy skills & thinking.

    Digital Strategy and Action — edX — Audit for free, verified certificate for $49

    This course explores how digital giants like Amazon, Facebook, Google, and Netflix solve problems, raise capital, win market share, and sustain growth. A great course for aspiring CEOs or side-hustlers!

    Learn management skills (to kick ass after being promoted!)

    New Manager’s 5-week Success System — Udemy — $15

    The New Manager’s Five-week Success System will give you all the information you need to start managing effectively, from day one. If you are already a new manager, then you will be able to apply this material straight away, and get immediate results.

    Coaching Skills for Managers Specialization — Coursera + UC Davis — Free for 7 days, then $49/ month

    An in-depth, 4-course specialization for managers that want to take their skills to the next level. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results.

    Build strong and cohesive teams.

    Culture-Driven Team Building — Coursera — Audit for free, $49/month for the specialization

    Building strong, cohesive teams is key to product success. In this 4-course specialization, students will analyze a real world case provided by N2Growth, a global firm that helps clients create a culture of leadership through practice areas like strategy, cultural transformation, and organizational design.

    Building Your Team — Lynda.com — 30-day free trial, then $20–30/month

    Looking for a short tutorial on team building? This short, one-hour course helps you identify your leadership style, and guides you through the different stages or team development.

    Learn to manage those product budgets.

    Financial Decision Making — EdX — Audit for Free, verified certificate for $249

    If you’re looking to become more financially literate, this brand-new course will teach you how to perform basic financial analyses to support decision-making.

    Finance Essentials for MBA Students — EdX — Audit for free, verified certificate for $49

    This is a little more extensive than needed for most product managers, but if you’re looking to move up in your company and ‘talk the talk’ with execs, you should know key financial basics and terms. Learn financial topics like present value, Internal Rate of Return (IRR), capital budgeting, diversification, portfolio choice and the Capital Asset Pricing Model (CAPM), all of which are often discussed and explored in great detail in MBA programs across the globe as well as everyday business operations.

    Learn to manage an IoT product.

    IoT PM Certificate Program — Tech Product Management — 7-course program, $899

    This one isn’t exactly ‘low-cost’, but it is specific, and nothing similar exists in the free course marketplace. PMs from Google, Amazon, and other tech giants have vouched for this program, although I haven’t taken it myself.

    2018 is the year I’m finally learning to code. But for real, though.

    Udacity’s Intro to Programming Nanodegree — I know there are a ton of great free resources out there to learn to code — Code Academy, Free Code Bootcamp, and Code Wars to name a few. But some of us need an extra kick in the ass (without spending $20k on a bootcamp), a step-by-step format and some hand-holding, to learn how to code.

    If this is the case for you, I highly recommend Udacity’s Intro to Programming Nanodegree. It takes 5 months to finish the program (assuming you’re studying about 10 hrs/ week), and at a bargain price of $399 for the entire program. You can also pay $99/ month for however many months it takes you to complete the course. Either way, I’d say it’s a sound investment.

    I’m looking for a big, personal transformation

    Leading from the Emerging Future — EdX — Free

    I dabbled in this course in 2015, and really enjoyed the content. If you’re looking for inspiration, personal transformation, or just a boost, this free course is a great start. It’s sold as “an introduction to leading profound social, environmental and personal transformation.” You’ll learn about leadership, self-knowledge, capacities of deep listening and observation, and practices for creating innovation that create wellbeing in society.

    I am looking to change jobs. (a.k.a I need resume help!)

    Udacity just added 3 new, free short-courses that I recommend to anyone looking to make a change, or just to keep their resume and LinkedIn up-to-date.

    Craft Your Cover Letter — Udacity — Free — 1 day

    Refresh Your Resume — Udacity — Free — 2 days

    Strengthen Your LinkedIn Network & Brand — Udacity — Free — 1 week

    Learn fun, inspirational product management tidbits on the reg!

    Subscribe to the Product Popcorn Podcast on iTunes, Google Play, Stitcher, or wherever you get your podcasts!

    Subscribe to the Product Popcorn Newsletter — I only send it out once a month.

    Follow me on Twitter or Instagram too, for daily inspiration and advice.


    The API economy: DevOps, cloud and infrastructure as code | killexams.com real questions and Pass4sure dumps

    We’re entering the next wave of cloud.

    Most chief information officers tell Wikibon: “I can’t simply reshape my business and stuff it into the cloud, rather I need to bring the cloud operating model to my business.”

    When they analyze the market for emerging cloud models they use Figure 3 from their True Private Cloud report to describe what they think is happening (below).

    The key relevant points in this data are:

  • Between 2015 and 2026, organizations will reduce spending on IT operational staff by about $150B. This resource is going elsewhere – toward higher value activities related to digital business initiatives (e.g. data science, artificial intelligence, predictive analytics, new application development).
  • Organizations want to bring the cloud model to their data… wherever it lives. True Private Cloud is on-premises infrastructure that substantially mimics the cloud operating model.
  • Organizations want to treat infrastructure as code and are working to eliminate undifferentiated infrastructure management. The organizational impacts are, among others, greater developer productivity and faster time to value.
  • apieconomy

    With these fundamentals as a backdrop, I asked Steve Kenniston of IBM Corp. to sit down with me and discuss the so-called API economy and its implications on developer productivity and organizational performance.

    Here’s the bumper sticker version: Traditionally, the relationship between dev and ops has had quite a bit of friction. Developers would write code and throw it over the fence to the operations team, which would be required to deploy the application. The problem was that developers weren’t tuned into the organizational edicts as they related to security, governance, compliance, patches and the like. So ops would hack the code to set it right and invariably something would go wrong. They’d send it back to the devs and say, “Your app doesn’t work properly.” The dev guys would say, “Well, it did when I gave it to you.”

    This back-and-forth would continue until they got it right. Meanwhile the business had to wait.

    Enter the cloud, which changed this dynamic. Programmers could now write to an application programming interface and configure infrastructure directly in their code without the back and forth tension they encountered previously. The DevOps meme exploded and organizations began to see that the cloud model was the future.

    Kenniston and I discussed this and other issues and began to touch on how the API economy — that is, the development of platforms that programmatically apply policies in an automated fashion, so they can support the development of a distributed cloud model with centralized control.

    Here’s the video playlist from their conversation:

    Image: JuralMin/Pixabay Since you’re here … … We’d like to tell you about their mission and how you can help us fulfill it. SiliconANGLE Media Inc.’s business model is based on the intrinsic value of the content, not advertising. Unlike many online publications, they don’t have a paywall or run banner advertising, because they want to keep their journalism open, without influence or the need to chase traffic.

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