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000-623 exam Dumps Source : System z Cloud and Linux Solution Selling
Test Code : 000-623
Test cognomen : System z Cloud and Linux Solution Selling
Vendor cognomen : IBM
: 51 existent Questions
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IBM System z Cloud and
on the cell World Congress, corporations beget began to highlight how the combination of 5G, cloud computing, and AI are altering the pass individuals are living and the pass they’re remodeling corporations. especially, IBM, Vodafone, VW’s SEAT, KONE, and Mitsufuji honed in on how the cloud and high-pace connectivity can champion organizations faucet into an array of IT features, comparable to AI, augmented truth, and blockchain, to deliver personalized experiences for consumers and personnel.
one of the crucial largest hurdles when implementing these applied sciences is getting every thing to travail in a unified gadget. today, an ordinary company uses up to fifteen clouds and several styles of AI.
with a purpose to tackle this difficulty, IBM and Vodafone signed a landmark $550M partnership to assemble connectivity, cloud, and AI technologies to champion remove the hurdles from digital transitioning.
"IBM's partnerships with global telco agencies dote Vodafone will champion pace up the deployment of 5G and provide simpler access to unique applied sciences equivalent to AI, blockchain, district computing, and IoT," says Michael Valocchi, IBM customary manager of the unique challenge with Vodafone. "here is since the vow of 5G does not simply depend on fiber, spectrum and contraptions, however on superior degrees of integration, automation, optimization, and protection throughout the ever extra involved IT methods that organizations are constructing in a bid to radically change."
Co-leader of the brand unique challenge, Greg Hyttenrauch, says by means of giving organizations the capacity to maneuver their applied sciences throughout their IT techniques, Vodafone and IBM can too champion compel innovation and move the consumer event across different industries reminiscent of retail and agriculture.
presently, SEAT, a member of the Volkswagen neighborhood, is the usage of IBM Cloud and Watson AI know-how together with 5G connectivity to reposition itself as a mobility services company.
"At SEAT, we're working with ingenious cities and technology companies to Come up with options to beget urban mobility more straightforward and more effective," says Jordi Caus, SEAT's Head of unique city Mobility concepts. "IBM is assisting us invent unique strategies to mobility with cloud and AI which will transform their company system while enhancing the lives of people residing in urban areas."
one more traffic the exhaust of the IBM Watson IoT options is KONE, a manufacturer of elevators and escalators. using this unique built-in know-how, KONE has been in a position to toddle to greater predictive functions.
"Our IoT know-how can consistently video array up to 200 crucial parameters of a separate piece of KONE equipment, bringing a totally unique journey to preservation capabilities," says Jean-Paul Bourgeat, KONE's carrier Director for South Europe, core East and Africa. "Working with IBM, KONE can now carry plenty greater cost to their clients, with capabilities that may, for example, result in a 25 percent improvement in first time fix."
These applied sciences are additionally touching within the path of wearables. recently, IBM partnered with Mitsufuji, a Japan-based traffic that designs linked garments to alert people of high-risk instances.
"the exhaust of IBM's advanced analytics and cloud capabilities, they can create an almost complete graphic of a worker's security," pointed out Ayumu Mitera, CEO of Mitsufuji. "Wearables, smart devices, and environmental sensors total bear sizeable amounts of information which might exist analyzed in actual-time, assisting their consumers to create safer working environments and us to net their innovations to market thrice faster than previously."
definitely, 5G and AI will proceed to proliferate any and total markets able to integrate these booming technologies.
As enterprises exist pleased the benefits of enlargement in hybrid environments, they too face unique hurdles in safety and scale. unique additions to the IBM Cloud Hyper give protection to services were built with these multicloud challenges in intellect, in response to Michael Jordan (pictured, right), exotic engineer at IBM, and Rohit Badlaney (pictured, left), director of IBM Z as a carrier and blockchain at IBM.
Jordan and Badlaney spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the IBM suppose event in San Francisco. They mentioned the unique announcements around IBM’s cloud features and the pass the enterprise is leveraging legacy expertise for a stronger hybrid offering. (* Disclosure beneath.)
[Editor’s note: The following answers beget been condensed for clarity.]
Miniman: interpret what the word is.
Badlaney: Hyper give protection to is a household of functions in-built their IBM Cloud on their cloud-equipped programs, which are the ZR1 systems in a multi-zone profile ingredient that offers the high-availability catastrophe recuperation. services we’re asserting at this conference [are] around crypto and key administration, [which] provides the maximum levels of security for their cloud; facts as a provider, which does well within the platform as a information serving platform; [and] digital servers tied into their Kubernetes provider. We’re bringing the breadth of their Z to their cloud.
Vellante: earlier than disbursed programs, you knew you had replete visibility. beget you ever been capable of hoist that level of transparency into the cloud?
Jordan: one of the vital key areas this is a great seat of attention for protection in the cloud is encryption, [it] is going to exist an significant share of being able to tide statistics to the cloud. Being in a position to deliver your personal surreptitious is completely primary. probably the most capabilities that we’ve had on the Z platform for a very long time really lend themselves smartly to a cloud environment. Their cryptographic hardware will too exist virtualized. every server i can beget sixteen cryptographic playing cards with eighty five virtual domains per card. Multiply that out; it serves a cloud scale very well. additionally, the cryptographic hardware is designed to meet the highest degree of protection certification specifications.
Vellante: What’s the company case for Hyper offer protection to and Z as a carrier?
Badlaney: It’s around information coverage. It’s around scale. It’s no longer a chummy reality, but definitely their blockchain platform and the entire success IBM’s had on blockchain has been working in their cloud on their Z programs over the ultimate two years with 500-plus lines. those are the sort of workloads that advantage.
Miniman: evaluate and contrast how protection matches in Z versus public clouds.
Jordan: With Z they wield a great portion of the stack, so we’re capable of combine safety into distinctive layers of the stack. relaxed provider containers are encrypted. You installation an utility, and these containers net encrypted in flight and at leisure. And there’s no configuration, no set up for that; it occurs automatically. They digitally signal and validate total of the firmware the working system, the application, the complete package that gets loaded into one of those environments.
Now we’re into that environment, and they [have] restricted administrative entry to hold away from directors from having uncontrolled access to the file equipment. considering they own that stack, they will definitely combine those security capabilities vertically via that stack to provide the true cost and the capabilities that you simply want in the cloud to protect both the utility and the records.
Vellant: talk a tiny bit about the roadmap.
Badlaney: The legacy of Z has always being scaled performance, hyper protection for probably the most regulated industries, for the most compliant industries and their largest agencies. That’s going to proceed in the subsequent generation. They illustrious hyper protecting the common public cloud, but we’re too increasing Kubernetes orchestration on-premise with their IBM Cloud inner most product being supported thoroughly on LinuxONE and expanding it to Linux workloads and Z collection workloads. Cloudification of the platform is the next huge step for us.
Watch the comprehensive video interview under, and exist certain to try more of SiliconANGLE’s and theCUBE’s insurance of the IBM deem event. (* Disclosure: IBM backed this aspect of theCUBE. Neither IBM nor other sponsors beget editorial manage over content on theCUBE or SiliconANGLE.)
due to the fact you’re birthright here …
… We’d want to let you know about their mission and how which you can champion us fulfill it. SiliconANGLE Media Inc.’s company mannequin is in keeping with the intrinsic charge of the content material, no longer advertising. not dote many on-line publications, they don’t beget a paywall or hasten banner advertising, as a result of they want to hold their journalism open, with out repercussion or the should chase traffic.The journalism, reporting and commentary on SiliconANGLE — together with are living, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — recall loads of difficult work, time and money. maintaining the exceptional tall requires the assist of sponsors who are aligned with their vision of advert-free journalism content.
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See the complete checklist of superior server virtualization application.
IBM PowerVM can virtualize AIX, IBM Linux, and IBM i consumers running on its vigour server platform. certainly, it is likely one of the most replete featured virtulization courses available on the market – no surprise, given IBM's abysmal legacy in the statistics core.
nevertheless it may too no longer exist the simplest platform to reserve in force. it is going to require consultants to install it. in consequence, mid-sized and great agencies should result high-quality, however SMBs can exist premiere to evade it unless they can Come up with the money for backyard aid. IBM PowerVM is geared chiefly for modern superior statistics facilities with worrying software workloads.
IBM PowerVM can consolidate several workloads onto fewer techniques, expanding server utilization and cutting back cost. PowerVM offers a secure and scalable server virtualization atmosphere for AIX, IBM i and Linux functions constructed upon the RAS features of the vigor programs platform. in brief, its hypervisor is reasonably bendy. it could assist supply capabilities within the cloud faster by means of automating deployment of VMs and storage. it may well too assist dispose of downtime by pass of live mobility between servers.
PowerVM 2.2.6 grants enterprise-grade virtualization, proposing the basis for cloud computing on IBM vigour systems. it could actually efficaciously share components among applications, consolidate multiple workloads, and supply the software mobility in a multi-cloud infrastructure. It is asserted to enhance useful resource utilization, gash back working costs, and provide a greater agile atmosphere for IBM AIX, IBM i, and IBM Linux purposes working on vigor programs.
in the most contemporaneous unencumber, IBM has greater tightly integrated PowerVM with the power platform. every POWER9 server comes with POWERVM traffic edition. there is additionally a benchmark edition in addition to an IBM PowerVM, Linux version. PowerVM average edition contains birthright here accessories:
N-Port identification Virtualization (NPIV)
Partition droop and resume is supported on POWER8 processor-based servers when the firmware is at level eight.4.0, or later.
Shared processor pools
Shared storage pools
Single Root I/O Virtualization (SR-IOV)
digital I/O Server (VIOS)
virtual network Interface Controller adapters
“It has been very respectable with tiny to no downtime. they beget been in a position to stretch their IT dollars because the refresh fee on IBM energy can hasten for years. also, we've been in a position to add many more VMs to physical machines than different structures can run,” observed a information middle supervisor in manufacturing.
AIX, Linux and IBM i shoppers
“Our traffic utilizes VMware and PowerVM. VMware is person pleasant and makes helping windows OS more straightforward. PowerVM is touching in that course. PowerVM is better in so you might prioritize workloads across distinctive VMs and exist granular in your reservation of cores and virtual CPUs. PowerVM permits you to modify VM features while the VM is up and running,” illustrious a gadget Admin in oil & gas.
PowerVM is a application down load.
up to one thousand VMs on a separate server.
10% to fifteen%
administration materiel equivalent to Hardware management Console (HMC), built-in Virtualization supervisor (IVM), and PowerVC champion to amalgam and control materials through the exhaust of a consolidated ratiocinative view. you could designate processors to partitions in increments of 0.01, which allows multiple partitions to share the processing vigour of the system. When the firmware is at stage 7.6, or later, micropartitions may too exist defined as minute as 0.05 of a processor and may exist changed in increments as minute as 0.01 of a processor. A maximum of 20 micropartitions may too exist created per core.
A running AIX, Linux, or IBM i ratiocinative partition may too exist suspended along with its operating gadget and functions. which you can share memory amongst partitions in a shared memory pool, through the exhaust of PowerVM lively memory Sharing. energy Virtualization performance (PowerVP) is a performance monitoring solution that gives specified and real-time counsel about virtualized workloads which are operating on vigor programs. that you can exhaust PowerVP to bethink how digital workloads exhaust elements, to investigate efficiency bottlenecks, and to beget counseled decisions about aid allocation and virtualized computing device placement.
supplied by using different IBM vigor equipment.
that you could migrate an lively or supine AIX, Linux, or IBM i ratiocinative partition from one system to an extra through the exhaust of live Partition Mobility.
energy methods give a secured server platform. POWER9 hardware and firmware beget it even more cozy for cloud deployment with key features for PowerVM servers. Implementation comprises:
A cozy IPL system or cozy Boot which handiest permits platform manufacturer signed Hostboot and vigor Hypervisor (PHYP) related firmware up through and together with Partition Firmware (PFW) to hasten on the gadget.
A framework to aid remote Attestation of the gadget firmware stack through a hardware trusted Platform Module (TPM).
Virtualization for AIX, Linux and IBM i valued clientele working IBM vigour systems.
“It can exist over engineered for smaller functions. despite the fact, if the infrastructure is in vicinity you can reserve it to exhaust to hasten Linux VMs as neatly,” illustrious a gadget Admin in Oil & gas
starting at $590 per core, free with every other IBM products.
AIX, Linux and IBM i valued clientele
1000 VMs on a separate server
10 to fifteen
Virtualization for AIX, Linux and IBM i consumers running IBM vigour platforms
$590 per core
move lively or supine VMs
correct for IBM environments
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The amount of rejiggering among the IT vendors serving enterprise customers (as several from hyperscalers, cloud builders, and HPC centers) in the past decade and a half has been astounding. And it is not yet clear what fuse of products and services will bow long-term profitability for those who are playing the long game, and playing it big.
Hewlett Packard Enterprise and Dell Technologies, as they are now called, tried to build up IT conglomerates that, dote IBM, had the four pillars of the IT budget – hardware, software, services, and financing. And then, when that didn’t travail out, both companies decided to change strategies. HPE sold off its PC and printer traffic and backed away from hyperscaler and cloud system sakes, while Dell held onto its PC business, went private, and bought EMC and VMware to bolster its core IT business, and did a transpose merger with VMware to Go public as 2018 came to a close. IBM started this total off by selling off its PC, tall conclude printer, disk drive, and chip businesses and then sold off its System x X86 server traffic to concentrate on its Power Systems and System z platforms. IBM’s systems traffic is quite profitable, as they beget revealed, but the company silent struggles to build its public cloud and to beget services beget money even as they generate a huge amount of revenue.
HPE is smaller and not particularly profitable, as they showed in analyzing that company’s financials ultimate week. Dell has become a lot larger than the remaining HPE, and has reached the identical rough revenue level as majestic Blue, although the companies beget very different product and customer profiles. IBM has very much focused on great enterprises and HPC centers with some dabbling in hyperscale here and there with the Power platform. Dell silent has a sizeable amount of revenue coming from PCs (both commercial and consumer buyers) and various IT gear that is sold to minute and medium businesses. IBM has some SMB business, but that is mostly focused on its IBM i (formerly AS/400) midrange server business, which is share of the Power Systems division, which is now called the Cognitive Systems division to emphasize the fact that these machines are doing database, analytics, transaction processing, and other heavy work, not running basic infrastructure.
Dell completed its transpose merger with VMware, which it owned a majority stake in, back in December, which cost it $21 billion, of which $11 billion was paid in cash to outstanding VMware shareholders, and $10 billion was paid in Dell stock. This maneuver allowed Dell’s stock to materialize on the unique York Stock Exchange, where VMware was traded, for the first time since Dell went private in a $24 billion buyout six years ago. At the time, Michael Dell wanted the company that bears his cognomen to Go private so it could maneuver the traffic without the judgements of public shareholders and analysts on Wall Street. In the interim, with the buying of EMC and therefore its minion VMware, and then the transpose merger, Dell has spent a fortune reconfiguring itself and it has silent not institute its pass to profitability. But the company is eating market share dote crazy in servers and storage, and is holding its own in PCs, and is touching towards profitability ever so slowly.
Dell has so many touching parts over the past pair of years, with units and divisions coming and going, that it would exist nearly impossible to net a consistent set of numbers to note how these aggregate businesses beget done since the worthy Recession, which is when a major inflection point was tipped in so many different parts of the economy and which is therefore a noble starting point for analyzing any company in the current era. With the current data that Dell Technologies, the parent company, has made available since going private and buying EMC and VMware and divesting its services business, they can Go back four years. (Note: Dell’s fiscal year ends in late January or early February, so the data is not presented on a calendar basis.)
Going private was clearly about buying time to create a much larger infrastructure behemoth while preserving volume discount leverage with Intel and other core component suppliers (think memory, disk, and flash) through keeping its PC traffic rather than selling it off or spinning it out. What is clear from the chart above is that Dell has become considerably larger over the past four years. In fiscal 2018 ended on February 2, Dell had grown revenues by 15 percent to $90.62 billion, with product sales up 18 percent to $71.29 billion and services sales (mostly break/fix stuff on the vast installed ground of materiel it has sold, but too including subscriptions to software) rising only 3 percent to $19.33 billion. That is silent an vast services business, by the way. But IBM’s services business, as a whole, is about 2.5X larger. For that replete fiscal 2018 year, Dell lost $2.31 billion, which was not as putrid as the $3.35 billion in losses it had in fiscal 2018 but it was silent larger than the $1.1 billion loss it had back in fiscal 2016 when it posted $51.17 billion in sales and the $1.67 billion loss it had in fiscal 2017 against $61.91 billion in sales. The point is, growth has Come at the cost of profitability overall as a company.
But don’t net the wrong impression. The company’s core server, networking, and virtualization software businesses are profitable, at an operating level. It is servicing its vast debt that is costing Dell so much money, and it is not a amaze to anyone that this is the case at this point.
It may exist surprising that Dell has Come back to the stock market before it was solidly profitable, but it wasn’t to ride its stock up as it squeezes more profits out of the traffic and continues to grow, and had it waited until it was done to emerge back on Wall Street, there would exist no hero’s tale to counsel as the fight was progressing. If Dell can achieve the synergies in its enterprise business, hold selling gear to some hyperscalers and cloud builders, and watch to its vast SMB fields, then there is every desultory that Dell – the company and the man – could pay down its debts through profits and exist free of total encumbrances.
Dell has been growing its PowerEdge server traffic for the past nine quarters and has four quarters of growth under its belt for its aggregate storage business, too. VMware, despite total of the challenges that it faces with the Microsoft Windows Server stack with Hyper-V and the Red Hat Enterprise Linux Stack with KVM, and not to mention total of the myriad ways to bring Docker containers and Kubernetes orchestration in to result away with virtual machines, is silent very profitable indeed and is silent growing.
Let’s Go through some numbers, first for the fourth quarter and then for the replete fiscal year to note you.
In the fourth quarter, Dell server and networking sales were up 14.8 percent to $5.25 billion. Server revenues were growing at a faster clip in the first three quarters of fiscal 2019, so it looks dote Dell was passion some pressure, but less than a lot of other players for sure. Storage sales rose by 9.4 percent to $4.64 billion. Add it up, and the Infrastructure Solutions Group at Dell nearly broke through the $10 billion barrier for the quarter, with sales up 12.2 percent to $9.89 billion. Operating income for Infrastructure Services Group rose by 69.1 percent to $1.27 billion, so this is total touching in the birthright direction.
In talking over the numbers with Wall Street, Jeff Clarke, vice chairman and the person in imbue of products and operations at Dell, said that there was leeway for the company to grow its share of $85 billion datacenter infrastructure market, with about two thirds of that coming from mainstream servers and Dell only having about a third of the market. (We contemplate that it is very tough to net even a third of a market with so many players in it, and am impressed that Dell has been able to recall so much market share at total to become the paramount supplier of enterprise servers and storage in the world and silent remain a player in the custom server racket.)
“We contemplate there is leeway to grow there,” Clarke explained. “I contemplate that is bolstered by the fact that they silent espy on-prem private cloud in an early build out. They talked on the previous convoke and throughout their train of roadshows, about repatriation of workloads, coming back to on-prem; they continue to espy that. There has been some recent research by IDC that imply there will exist $120 billion spent on hardware for on-prem private clouds over the next four years and another $100 billion on software and services on top of that. They contemplate that bodes well for the environment on a go-forward basis. And as is clear, they are in a multi cloud and hybrid cloud world.”
For the year, the Servers and Networking unit had $19.95 billion in sales, up 29.1 percent. Storage sales, across a wide variety of products that are being rationalized, organized, paired down, and focuses, rose by 9.6 percent in fiscal 2019, to $16.68 billion. For the replete year, Infrastructure Solutions Group had an operating income of $4.15 billion, up 61 percent, so this is a huge improvement in profitability.
It wasn’t that long ago when Dell itself was only a $20 billion company aspiring to exist a $60 billion company within a decade, and only three years ago, minus EMC, Dell’s infrastructure traffic was less than half its current size and its storage traffic was one-eighth its current size.
The VMware unit has been kept sever from servers for now as Dell is reporting its numbers, and its virtual server traffic (which runs on lot of iron from its competitors in the X86 server business) is only half the size of its physical server business. In the fourth quarter, VMware’s sales were up 13.2 percent to $2.64 billion, and its operating profit rose by 4.6 percent to $872 million, or about a third of revenues and by far the most profitable thing Dell has ever had its hands on. For the replete fiscal year, VMware brought in $9.1 billion in sales, up 12.4 percent, and operating income rose by 6.3 percent to just a tad under $3 billion. VMware’s virtual server traffic might exist half the size of the physical server business, but assuming that servers are as profitable as storage (maybe not a noble assumption), the virtual servers are three times as profitable. In the quarter, bookings for NSX virtual networking were up by more than 50 percent, and bookings for vSAN virtual storage rose by over 60 percent.
Interestingly, the VMware Cloud on AWS inked its largest deal to date, for $20 million of services, to hasten the ESXi hypervisor, vSphere management tools, and a entire lot of cloud management tools on AWS iron for, they presume, a multi-year term. VxRail hyperconverged appliances beget a $2 billion annual hasten rate, and so does the NSX virtual networking portfolio, which had $1.3 billion in bookings in fiscal 2019; it is not clear where vSAN is at in terms of bookings for the year or its annualized hasten rate as Dell exited the fourth quarter.
If you add up servers, storage, networking, and VMware, then Dell had sales of $45.81 billion, up 17.9 percent, and operating income of $7.14 billion, up 32.4 percent. In this case, the underlying profit is growing at twice the rate as the revenues, which is something IT vendors admire to attain. The belief now is to grow the revenues and thrust Dell into an actual profit even though it has to pay down a lot of debts for the next pair to several to many years. (It is difficult to say, especially if you espy at its debt statements, which are a twisty turny narrative indeed.)
In the Others category, which includes sales of Pivotal, SecureWorks, RSA, Virtustream, and Boomi products, sales were up 5 percent to $593 million, which Dell does not contemplate individually are great enough to convoke out separately. This Others category runs a qualify profit or loss in any given quarter and does not really move the overall Dell company at this point.
If anything, Dell is a tiny more storage heavy than the industry at large, but it has total of the components of modern systems in its revenue streams, and on the volume platforms deployed in the market, unlike total of its peers.
Given this, Dell is perhaps the best reflection of core spending in the enterprise datacenter that they have. Its minute and medium traffic customers, as Clarke pointed out, are the canaries in the coal mine. If they discontinue spending total of a sudden, that means great enterprise are likely going to follow. Even though growth in servers has slowed significantly, Dell and others are expecting for server purchasing to continue to exist aggressive if growing more slowly than in the past five quarters. IBM used to exist the bellwether, then it was HPE for a while when it was just called Hewlett Packard, and now it seems to exist Dell Technologies.
Intel along with customers and industry partners announced several solutions designed to scale and accelerate the adoption of hardware-enabled security across data center, cloud, network and edge.
From OEMs to cloud service providers (CSPs) and independent software vendors (ISVs), Intel continues to champion lead the industry and further security tools and resources that champion help the security and privacy of application processing in the cloud, provide platform-level threat detection and shrink the attack surface.
“Hardware-based security technologies are a top priority for cloud providers aiming to address enterprise scaling challenges. Trusted execution technologies such as Intel SGX are now readily available in a wide sweep of platforms helping to fuel innovation in the digital security ecosystem and further assist in implementation roll-out.”– Dimitrios Pavlakis, industry analyst, ABI Research.
Intel SGX for the data center
Helping protect customer data in the cloud is a top priority for cloud service providers. Intel Software Guard Extensions (Intel SGX) was designed to champion create more secure environments without having to dependence the integrity of total the layers of the system. The technology isolates specific application code and data to hasten in private regions of memory, or enclaves.
Intel SGX is currently used by top cloud providers, including Alibaba Cloud, Baidu, IBM Cloud Data Guard and Microsoft Azure for various projects to champion protect customer data at runtime. Today, Intel announced unique products and ecosystem solutions that enable Intel SGX to exist used even more broadly in the data center.
Scaling Intel SGX for the cloud: Intel introduced the Intel SGX Card, a unique pass to champion extend application memory protections using Intel SGX in existing data seat infrastructure. Though Intel SGX technology will exist available on future multi-socket Intel Xeon Scalable processors, there is pressing exact for its security benefits in this space today. Intel is accelerating deployment of Intel SGX technology for the vast majority of cloud servers deployed today with the Intel SGX Card. Additional benefits offer access to larger, non-enclave memory spaces, and some additional side-channel protections when compartmentalizing sensitive data to a sever processor and associated cache. Availability is targeted for later this year.
To enable cloud adoption of Intel SGX at scale, Intel and industry partners are too introducing unique tools and capabilities that enhance operational control, simplify development and champion emerging workloads.
Operational control: Intel is delivering a unique capability called supple launch control that enables a company’s data seat operations to set and manage their own unique security policies for launching enclaves as well as providing controlled access to sensitive platform identification information. This capability is currently available on Intel SGX-enabled Intel Xeon E Processors and some Intel NUC’s.
New developer tools: Fortanix launched its Enclave development Platform (EDP), the open-source software development kit (SDK) that uses the state-of-the-art security properties of the Rust programming language and Intel SGX to deliver a more secure application development platform. Developers can build enclaves with Rust to champion help protection from development vulnerabilities and outsider attacks. The Fortanix EDP is fully integrated with the Rust compiler allowing developers to immediately build, sell or ration the secure applications they create.
Scale for emerging workloads: Baidu announced a preview of its Intel SGX-enabled MesaTEE that delivers simulated intelligence algorithm protection for cloud and edge computing devices.
Advancing threat detection
Intel is helping lead the industry with hardware-enhanced security technology by delivering unique capabilities to Intel Threat Detection Technology (Intel TDT), a set of silicon-level capabilities that helps detect classes of threats. First introduced ultimate year and deployed across 50 million enterprise clients, Intel TDT is experiencing broad adoption and expanding platform champion to Linux and virtual machines.
Intel threat detection technology evolves: Intel is expanding Intel TDT capabilities in 2019 to involve champion for Linux on servers in virtualized data seat and cloud environments. Intel TDT combines platform-level telemetry infrastructure and machine learning models to detect targeted attacks. Detection alerts based on the heuristics are sent to the security service provider (ISV) for remediation. Integration of the Intel TDT stack into the existing ISV solutions results in improved performance and lower incidences of inaccurate positives. At RSA Conference, Intel will demonstrate Intel TDT on Linux using Intel-developed heuristics to detect unauthorized execution of specific cryptomining workloads.
SentinelOne: SentinelOne (S1) is the first licensee to beget adapted Intel TDT’s accelerated memory scanning (AMS) technology for detection of cryptomining. With Intel TDT, S1’s customers running Windows will exist pleased up to 10-times faster pre-execution scanning and 4-times faster detection with immediate roll back of uncovered threats.
Shrinking the attack surface
Intel’s security open-source initiatives and community partners are equipping the ecosystem with tools to champion reduce the attack surface in platforms and products before they are deployed at scale.
Device design: Intel is announcing Host-based Firmware Analyzer, a unique instrument for the TianoCore open-source firmware community. Intel is applying best practices used by software developers and helping lead the industry in delivering a framework that automates the testing of firmware components prior to system integration. The Host-based Firmware Analyzer allows developers to hasten open-source advanced tools, such as fuzz testing, symbolic execution and address sanitizers in an OS environment. This instrument is targeted for availability in the first half of this year.
Secure device onboarding: For secure device provisioning and management of internet of things (IoT) devices before they are activated on corporate networks, Mocana announced replete integration of Mocana TrustCenter with the Intel Secure Device Onboard service. This solution reduces the tribulation on OEMs to pre-load customer specific credentials in the supply chain and delivers a model where cloud selection and configuration occur dynamically when first powered on.
Defending firmware: Intel and Eclypsium announced a collaboration that helps organizations manage the entire hardware and firmware attack surface for threats. The Eclypsium Platform, now generally available, extends Intel’s secure foundation by analyzing the system configuration and ensuring the latest firmware is deployed.
Scaling enterprise endpoint protection: Qnext announced integration of Intel SGX in remote access of its sharing and collaboration platform FileFlex. Intel SGX helps help FileFlex Enterprise security for Microsoft Office 365 users when accessing files and folders from source locations at the edge of the network.
As computing ecosystems become more complex, monitoring and analyzing those often disconnected touching parts becomes increasingly challenging.
Today's data seat has evolved from a separate supplier producing and selling all-in-one offerings, such as the days when EMC, NetApp, HP or even Sun owned your data seat and you chose a vendor and stuck with it. Those identical vendors provided you with the required tools to monitor, dissect and troubleshoot their entire stack.
Shifting focus to the present, the landscape now appears to exist quite different. Instead, you will find environments of mixed offerings provided by an assortment of vendors, both great and small. Proprietary machines travail side by side with off-the-shelf commodity devices hosting software-defined software. Half of your applications may exist hosted in virtual machines over a hypervisor or just spun up in a container. How does a modern data-center administrator or DevOps professional manage such an environment?
An assortment of platforms and frameworks exist that provide such capabilities, but they're not total one and the same. In some cases, those identical tools will exigency to exist coupled with others to bear something useful (for example, ELK: Elasticsearch + Logstash + Kibana). Unfortunately, this arrangement just adds to the complication and frustration when attempting to diagnose or discover problems in your computing environment.
Putting an conclude to this level of complexity, one company stands out among the rest: Scalyr. Scalyr develops and offers a complete suite of server monitoring, log management, visualization and analysis tools, which integrate with cloud services. I recently had the delectation of chatting with Scalyr CEO Steve Newman.
His is not a household name, dote Steve Jobs or Bill Gates, but you will exist chummy with his travail and contributions to cloud-enabled technologies. Although this is likely to change with Scalyr, Steve is best known for his travail with Writely, a technology that later was acquired by Google and relabeled as Google Docs. In their conversation, Steve and I took the chance to debate Scalyr, its solution and the problem it solves.
Steve Newman, Scalyr CEO
Petros Koutoupis: counsel me a bit about yourself. Who is Steve Newman?
Steve Newman: I am an engineer by both training and background and beget spent most of my career in the startup environment. This is because I exist pleased pile things. I was at Google for a number of years following an acquisition, and while the experience itself was great, the startup bug in me drove me to Scalyr.
PK: So, now you founded a company called Scalyr. please counsel us, what is Scalyr?
SN: Scalyr is a log management platform for engineers accountable for software development. They collect logs from applications, services, containers and systems, and beget that data available to champion engineering teams track down problems and generally manage the complexity of modern development and operations.
PK: And why? What problem(s) does your product solve?
SN: Traditional log management tools are involved and often very late at scale. This leads to a "gatekeeper" approach to log management, where only a select few acquire the expertise (and beget the patience!) to access this captious data. Logs become a instrument of ultimate resort, hindering the team's ability to rapidly or proactively address issues.
My co-founder Steven Czerwinski and I first experienced this problem ourselves at Google. They were leading an infrastructure project supporting Google Docs, Drive, Photos and other related applications. There were a lot of touching parts, and the engineering team spent close to half of its time simply tracking down problems. They started Scalyr in 2011 to create the instrument they wished we'd had at Google—one that would allow us to beget sense of the flood of telemetry data and quickly understand why a involved system is misbehaving.
PK: How does Scalyr work?
SN: We're a fully managed SaaS solution. Logs are sent to their centrally hosted search cluster, using their agent or an array of API integrations. Engineers then exhaust their web app (or APIs) to analyze, visualize and explore the logs.
The captious component is the back end. We've built the back-end software stack from scratch, optimizing for the data access patterns that arise in log management. Some provocative aspects of their approach are:
1) Unlike other log management solutions, they don't exhaust indexes. Keyword indexes are optimized for finding the "best ten matches", in a corpus comprised of slowly evolving, human language text such as web pages or product descriptions. Log management exhaust cases are very different, with minute units of text (individual log messages), constantly updated, replete of record IDs and other non-words that balloon the vocabulary size. Most important, log management queries generally visualize a complete data set, rather than discontinue after ten high-ranking results. Keyword indexes don't champion much there, and they are complex, expensive to maintain and often impose multi-minute ingestion delays.
We've taken a much simpler approach, pile a streamlined, columnar data store that's optimized for log data. The basic belief is that they just store logs and scan them, dote noble old-fashioned grep. They then exhaust a lot of tricks to minimize the amount of data that needs to exist scanned; for instance, when querying specific fields of a log, the columnar data layout means that they exigency to scan only those fields.
2) They process queries one at a time, globally. This allows each customer to exhaust their entire search cluster, with aggregate search performance of 1.5 terabytes per second. It's rapidly enough (96% of queries complete in less than one second) that queries almost never wait in line—we finish each query before the next one arrives. The nice thing about this approach is that there's an economy of scale: as their customer ground grows, performance increases.
3) We've built a sever back conclude for repetitive queries, such as those used in dashboards or alerting rules. This share of the system is based on a time train database, with a custom time train for each query. The ingestion engine automatically updates these time train as log messages arrive. This means they don't exigency to execute queries to array a dashboard or evaluate an alerting rule—the apropos data has been precomputed in the time series. In database terms, we're automatically creating materialized views where needed.
PK: What makes Scalyr stand out or competitive with existing solutions?
SN: Speed, simplicity and scalability.
Speed was central to their mission from day one. Logs are a massively useful, detailed data source, but when it takes minutes (or longer) to hasten a query, engineers avoid using them. They answer most queries in a fraction of a second. They too ingest data in existent time: unique logs are available for querying within a few seconds.
Simplicity goes hand in hand with speed, which is best measured as the time from a question in an engineer's head to an retort on his or her screen. The fastest back conclude in the world is of tiny exhaust if you spent five minutes wrestling with the query language. They reckon on their performance, as well as their ability to parse logs and extract structured data on ingestion, to provide a set of visual exploration tools that allows engineers to net answers without becoming query language experts. There's a query language, but you can dive in without knowing anything about it.
Finally, customers often select us for their scalability. They continue to travail well not only as server weigh and data volume increase, but as a team grows. Scalyr works just as quickly whether it's three or 1,000 people looking at logs. This helps teams toddle away from the gatekeeper model of traditional log management to the concurrent, collaborative engineering model that modern organizations are increasingly adopting.
With Scalyr, companies for the first time beget a log management platform that does not imbue ruthless licensing fees for unique users, involve long ramp-up times or require learning arcane query languages. It's meant for teams who exigency to toddle fast.
PK: Who would capitalize from using Scalyr?
SN: Their sweet spot is organizations where the application is captious to the business. From B2B software to online retailers, dating platforms and media companies, every business' competitive advantage increasingly is the technology stack and the hasten at which that stack can evolve. Scalyr is captious to enabling that. Some of their customers involve NBCUniversal, OkCupid, Zalando and ReturnPath.
Within those organizations, the primary Scalyr user usually comes from engineering or DevOps. But Scalyr is simple enough to exhaust that they often espy usage spread to other roles dote support, which can search logs to track down specific client problems. Some of their customers beget upwards of 1000 individuals with Scalyr logins. Typically, half the users are lively on a weekly basis, which is huge date compared to traditional log management platforms.
PK: How easily does Scalyr integrate into current production environments?
SN: It's their mission to meet customers where they are, so they champion many different models. Some hasten their own servers or virtual servers. Some are on Kubernetes, while others are serverless. Regardless, setup first involves retrieving logs. The most common pass of doing this is with a lightweight agent that customers can install as a container, sidecar or whatever they need. They too beget API integrations to retrieve logs directly from the wide array of cloud services in exhaust today.
Once the logs are flowing in, you're off and running, but an significant further step is to set up parsing rules. This allows us to extract structured data, unlocking the replete power of the analysis and visualization tools. To beget this as effortless as possible, we've built three generations of parsing engines. The current engine is so effortless to use, we've literally reserve a button in the product that tells their champion team to set up the rules for you. Of course, being engineers, many of their customers prefer to result it themselves.
With today's internet, the "app" increasingly is the traffic (think of Uber, Airbnb, Amazon and so on), and getting to the bottom of downtime is crucial. This process is made more difficult than ever as the system or code is increasingly distributed with the exhaust of containers, serverless and other technologies. That is where Scalyr comes in with its log analysis platform. It is crazy rapidly and effortless to use. To learn more about this wonderful product, visit https://www.scalyr.com.