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on the cell World Congress, corporations relish began to highlight how the combination of 5G, cloud computing, and AI are altering the way individuals are alive and the way they’re remodeling corporations. especially, IBM, Vodafone, VW’s SEAT, KONE, and Mitsufuji honed in on how the cloud and high-pace connectivity can capitalize 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 work in a unified gadget. today, an ordinary company uses up to fifteen clouds and separate 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 support remove the hurdles from digital transitioning.
"IBM's partnerships with global telco agencies dote Vodafone will capitalize pace up the deployment of 5G and provide simpler access to original applied sciences equivalent to AI, blockchain, zone computing, and IoT," says Michael Valocchi, IBM usual manager of the original challenge with Vodafone. "here is since the pledge 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 complicated IT methods that organizations are constructing in a bid to radically change."
Co-leader of the brand original challenge, Greg Hyttenrauch, says by means of giving organizations the capacity to exploit their applied sciences throughout their IT techniques, Vodafone and IBM can moreover support favor innovation and influence 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 promote up with options to accomplish urban mobility more straightforward and more effective," says Jordi Caus, SEAT's Head of original city Mobility concepts. "IBM is assisting us invent original strategies to mobility with cloud and AI which will transform their company method while enhancing the lives of people residing in urban areas."
one more commerce the Use of the IBM Watson IoT options is KONE, a manufacturer of elevators and escalators. using this original built-in know-how, KONE has been in a position to lumber to greater predictive functions.
"Our IoT know-how can consistently video parade up to 200 crucial parameters of a single piece of KONE equipment, bringing a totally original 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 moving within the path of wearables. recently, IBM partnered with Mitsufuji, a Japan-based commerce that designs linked garments to alert people of high-risk instances.
"the Use of IBM's advanced analytics and cloud capabilities, they can create an almost complete realistic of a worker's security," pointed out Ayumu Mitera, CEO of Mitsufuji. "Wearables, smart devices, and environmental sensors everything yield sizeable amounts of information which might subsist analyzed in actual-time, assisting their consumers to create safer working environments and us to pick up their innovations to market thrice faster than previously."
definitely, 5G and AI will proceed to proliferate any and everything markets able to integrate these booming technologies.
As enterprises relish the benefits of enlargement in hybrid environments, they moreover visage original hurdles in safety and scale. original 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 original announcements around IBM’s cloud features and the way the enterprise is leveraging legacy expertise for a stronger hybrid offering. (* Disclosure beneath.)
[Editor’s note: The following answers relish been condensed for clarity.]
Miniman: clarify 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 shape 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 scholarship 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 full visibility. relish you ever been capable of heave that flat of transparency into the cloud?
Jordan: one of the vital key areas this is a great center of attention for protection in the cloud is encryption, [it] is going to subsist an well-known allotment of being able to rush statistics to the cloud. Being in a position to deliver your personal stealthy 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 moreover subsist virtualized. every server i can relish 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 handle 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 pick up encrypted in flight and at leisure. And there’s no configuration, no set up for that; it occurs automatically. They digitally signal and validate everything 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 sustain 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 existent cost and the capabilities that you simply want in the cloud to protect both the utility and the records.
Vellant: talk a itsy-bitsy 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 celebrated hyper protecting the general public cloud, but we’re moreover 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 subsist sure to try more of SiliconANGLE’s and theCUBE’s insurance of the IBM consider event. (* Disclosure: IBM backed this side of theCUBE. Neither IBM nor other sponsors relish editorial manage over content on theCUBE or SiliconANGLE.)photograph: SiliconANGLE due to the fact you’re prerogative here …
… We’d want to let you know about their mission and how which you can support 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 relish a paywall or dash 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 hard work, time and money. maintaining the exceptional lofty requires the assist of sponsors who are aligned with their vision of advert-free journalism content.
if you just dote the reporting, video interviews and different advert-free content material here, please recall a second to try a pattern of the video content material supported via their sponsors, tweet your aid, and retain coming returned to SiliconANGLE.
See the complete checklist of superior server virtualization application.bottom line:
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 full featured virtulization courses available on the market – no surprise, given IBM's profound legacy in the statistics core.
nevertheless it may moreover no longer subsist the simplest platform to set in force. it is going to require consultants to install it. in consequence, mid-sized and great agencies should attain high-quality, however SMBs can subsist premiere to evade it unless they can promote up with the money for backyard aid. IBM PowerVM is geared chiefly for modern superior statistics facilities with worrying software workloads.Product Description:
IBM PowerVM can consolidate separate 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 moreover assist dispose of downtime by way 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, chop 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 concomitant unencumber, IBM has greater tightly integrated PowerVM with the power platform. every POWER9 server comes with POWERVM commerce edition. there is additionally a standard edition in addition to an IBM PowerVM, Linux version. PowerVM mediocre edition contains prerogative here accessories:
“It has been very respectable with itsy-bitsy to no downtime. they relish been in a position to stretch their IT dollars because the refresh fee on IBM energy can dash for years. also, we've been in a position to add many more VMs to physical machines than different structures can run,” observed a scholarship middle supervisor in manufacturing.Servers/working systems:
AIX, Linux and IBM i shoppers
“Our commerce utilizes VMware and PowerVM. VMware is person pleasant and makes helping windows OS more straightforward. PowerVM is moving in that course. PowerVM is better in so you might prioritize workloads across distinctive VMs and subsist granular in your reservation of cores and virtual CPUs. PowerVM permits you to modify VM features while the VM is up and running,” celebrated a gadget Admin in oil & gas.Implementation:
PowerVM is a application down load.Scalability:
up to one thousand VMs on a single server.Overhead:
10% to fifteen%management:
administration outfit equivalent to Hardware management Console (HMC), built-in Virtualization supervisor (IVM), and PowerVC capitalize to admixture and control materials through the Use 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 moreover subsist defined as small as 0.05 of a processor and may subsist changed in increments as small as 0.01 of a processor. A maximum of 20 micropartitions may moreover subsist created per core.
A running AIX, Linux, or IBM i ratiocinative partition may moreover subsist suspended along with its operating gadget and functions. which you can share reminiscence amongst partitions in a shared reminiscence pool, through the Use of PowerVM active reminiscence 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 Use PowerVP to recollect how digital workloads Use elements, to investigate efficiency bottlenecks, and to accomplish counseled decisions about aid allocation and virtualized computing device placement.Patching/Backup:
supplied by using different IBM vigor equipment.Migration:
that you could migrate an active or supine AIX, Linux, or IBM i ratiocinative partition from one system to an extra through the Use of live Partition Mobility.safety:
energy methods give a secured server platform. POWER9 hardware and firmware accomplish it even more restful for cloud deployment with key features for PowerVM servers. Implementation comprises:
Virtualization for AIX, Linux and IBM i valued clientele working IBM vigour systems.
“It can subsist over engineered for smaller functions. despite the fact, if the infrastructure is in vicinity you can set it to Use to dash Linux VMs as neatly,” celebrated 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 single server
10 to fifteen
Virtualization for AIX, Linux and IBM i consumers running IBM vigour platforms
$590 per core
Migrationmove active or supine VMs
Key Differentiatorcorrect for IBM environments
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The amount of rejiggering among the IT vendors serving enterprise customers (as separate from hyperscalers, cloud builders, and HPC centers) in the past decade and a half has been astounding. And it is not yet transparent what fuse of products and services will yield 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 work out, both companies decided to change strategies. HPE sold off its PC and printer commerce 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 invert merger with VMware to Go public as 2018 came to a close. IBM started this everything off by selling off its PC, lofty cessation printer, disk drive, and chip businesses and then sold off its System x X86 server commerce to concentrate on its Power Systems and System z platforms. IBM’s systems commerce is quite profitable, as they relish revealed, but the company still struggles to build its public cloud and to accomplish services accomplish 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 final week. Dell has become a lot larger than the remaining HPE, and has reached the same harsh revenue flat as huge Blue, although the companies relish 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 still has a sizeable amount of revenue coming from PCs (both commercial and consumer buyers) and various IT gear that is sold to small 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 allotment 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 ponderous work, not running basic infrastructure.
Dell completed its invert 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 loom on the original 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 designation to Go private so it could maneuver the commerce 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 invert merger, Dell has spent a fortune reconfiguring itself and it has still not establish its way to profitability. But the company is eating market share dote crazy in servers and storage, and is holding its own in PCs, and is moving towards profitability ever so slowly.
Dell has so many moving parts over the past pair of years, with units and divisions coming and going, that it would subsist nearly impossible to pick up a consistent set of numbers to parade how these aggregate businesses relish done since the considerable Recession, which is when a major inflection point was tipped in so many different parts of the economy and which is therefore a top-notch 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 commerce rather than selling it off or spinning it out. What is transparent 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 foundation of outfit it has sold, but moreover including subscriptions to software) rising only 3 percent to $19.33 billion. That is still an gigantic services business, by the way. But IBM’s services business, as a whole, is about 2.5X larger. For that full fiscal 2018 year, Dell lost $2.31 billion, which was not as unfavorable as the $3.35 billion in losses it had in fiscal 2018 but it was still 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 promote at the cost of profitability overall as a company.
But don’t pick up the wrong impression. The company’s core server, networking, and virtualization software businesses are profitable, at an operating level. It is servicing its gigantic debt that is costing Dell so much money, and it is not a surprise to anyone that this is the case at this point.
It may subsist surprising that Dell has promote 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 commerce and continues to grow, and had it waited until it was done to emerge back on Wall Street, there would subsist no hero’s tale to recommend as the fight was progressing. If Dell can achieve the synergies in its enterprise business, sustain selling gear to some hyperscalers and cloud builders, and tend 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 subsist free of everything encumbrances.
Dell has been growing its PowerEdge server commerce for the past nine quarters and has four quarters of growth under its belt for its aggregate storage business, too. VMware, despite everything 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 everything of the myriad ways to bring Docker containers and Kubernetes orchestration in to attain away with virtual machines, is still very profitable indeed and is still growing.
Let’s Go through some numbers, first for the fourth quarter and then for the full fiscal year to parade 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 emotion 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 everything moving in the prerogative direction.
In talking over the numbers with Wall Street, Jeff Clarke, vice chairman and the person in suffuse of products and operations at Dell, said that there was play 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 mediate that it is very tough to pick up 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 everything to become the preponderant supplier of enterprise servers and storage in the world and still remain a player in the custom server racket.)
“We mediate there is play to grow there,” Clarke explained. “I mediate that is bolstered by the fact that they still notice on-prem private cloud in an early build out. They talked on the previous call and throughout their series of roadshows, about repatriation of workloads, coming back to on-prem; they continue to notice that. There has been some recent research by IDC that suggest there will subsist $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 mediate 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 full 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 subsist a $60 billion company within a decade, and only three years ago, minus EMC, Dell’s infrastructure commerce was less than half its current size and its storage commerce was one-eighth its current size.
The VMware unit has been kept separate from servers for now as Dell is reporting its numbers, and its virtual server commerce (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 full 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 commerce might subsist half the size of the physical server business, but assuming that servers are as profitable as storage (maybe not a top-notch 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 dash the ESXi hypervisor, vSphere management tools, and a whole lot of cloud management tools on AWS iron for, they presume, a multi-year term. VxRail hyperconverged appliances relish a $2 billion annual dash rate, and so does the NSX virtual networking portfolio, which had $1.3 billion in bookings in fiscal 2019; it is not transparent where vSAN is at in terms of bookings for the year or its annualized dash 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 dote to attain. The plan 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 hard to say, especially if you peruse at its debt statements, which are a twisty turny epic 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 mediate individually are great enough to call out separately. This Others category runs a temper profit or loss in any given quarter and does not really influence the overall Dell company at this point.
If anything, Dell is a itsy-bitsy more storage ponderous than the industry at large, but it has everything of the components of modern systems in its revenue streams, and on the volume platforms deployed in the market, unlike everything of its peers.
Given this, Dell is perhaps the best reflection of core spending in the enterprise datacenter that they have. Its small and medium commerce customers, as Clarke pointed out, are the canaries in the coal mine. If they stop spending everything 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 subsist aggressive if growing more slowly than in the past five quarters. IBM used to subsist the bellwether, then it was HPE for a while when it was just called Hewlett Packard, and now it seems to subsist 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 capitalize lead the industry and promote security tools and resources that capitalize ameliorate 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 capitalize create more secure environments without having to trust the integrity of everything the layers of the system. The technology isolates specific application code and data to dash 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 capitalize protect customer data at runtime. Today, Intel announced original products and ecosystem solutions that enable Intel SGX to subsist used even more broadly in the data center.
Scaling Intel SGX for the cloud: Intel introduced the Intel SGX Card, a original way to capitalize extend application reminiscence protections using Intel SGX in existing data center infrastructure. Though Intel SGX technology will subsist 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 reminiscence spaces, and some additional side-channel protections when compartmentalizing sensitive data to a separate 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 moreover introducing original tools and capabilities that enhance operational control, simplify development and support emerging workloads.
Operational control: Intel is delivering a original capability called resilient launch control that enables a company’s data center 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 capitalize ameliorate protection from development vulnerabilities and outsider attacks. The Fortanix EDP is fully integrated with the Rust compiler allowing developers to immediately build, sell or dole the secure applications they create.
Scale for emerging workloads: Baidu announced a preview of its Intel SGX-enabled MesaTEE that delivers artificial 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 original capabilities to Intel Threat Detection Technology (Intel TDT), a set of silicon-level capabilities that helps detect classes of threats. First introduced final year and deployed across 50 million enterprise clients, Intel TDT is experiencing broad adoption and expanding platform support to Linux and virtual machines.
Intel threat detection technology evolves: Intel is expanding Intel TDT capabilities in 2019 to comprehend support for Linux on servers in virtualized data center 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 groundless 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 relish adapted Intel TDT’s accelerated reminiscence scanning (AMS) technology for detection of cryptomining. With Intel TDT, S1’s customers running Windows will relish 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 capitalize reduce the attack surface in platforms and products before they are deployed at scale.
Device design: Intel is announcing Host-based Firmware Analyzer, a original tool 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 dash open-source advanced tools, such as fuzz testing, symbolic execution and address sanitizers in an OS environment. This tool 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 full integration of Mocana TrustCenter with the Intel Secure Device Onboard service. This solution reduces the affliction 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 ameliorate 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 moving parts becomes increasingly challenging.
Today's data center has evolved from a single supplier producing and selling all-in-one offerings, such as the days when EMC, NetApp, HP or even Sun owned your data center and you chose a vendor and stuck with it. Those same vendors provided you with the required tools to monitor, resolve and troubleshoot their entire stack.
Shifting focus to the present, the landscape now appears to subsist quite different. Instead, you will find environments of mixed offerings provided by an assortment of vendors, both great and small. Proprietary machines work side by side with off-the-shelf commodity devices hosting software-defined software. Half of your applications may subsist 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 everything one and the same. In some cases, those same tools will need to subsist coupled with others to yield something useful (for example, ELK: Elasticsearch + Logstash + Kibana). Unfortunately, this arrangement just adds to the complication and frustration when attempting to diagnose or ascertain problems in your computing environment.
Putting an cessation to this flat 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 joy of chatting with Scalyr CEO Steve Newman.
His is not a household name, dote Steve Jobs or Bill Gates, but you will subsist chummy with his work and contributions to cloud-enabled technologies. Although this is likely to change with Scalyr, Steve is best known for his work 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 dispute Scalyr, its solution and the problem it solves.
Steve Newman, Scalyr CEO
Petros Koutoupis: recommend me a bit about yourself. Who is Steve Newman?
Steve Newman: I am an engineer by both training and background and relish spent most of my career in the startup environment. This is because I relish building 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. gladden recommend us, what is Scalyr?
SN: Scalyr is a log management platform for engineers responsible for software development. They collect logs from applications, services, containers and systems, and accomplish that data available to capitalize 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 complicated and often very leisurely at scale. This leads to a "gatekeeper" approach to log management, where only a select few acquire the expertise (and relish the patience!) to access this captious data. Logs become a tool of final resort, hindering the team's talent 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 moving parts, and the engineering team spent proximate to half of its time simply tracking down problems. They started Scalyr in 2011 to create the tool they wished we'd had at Google—one that would allow us to accomplish sense of the flood of telemetry data and quickly understand why a complicated 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 Use 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 moving aspects of their approach are:
1) Unlike other log management solutions, they don't Use 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 Use cases are very different, with small units of text (individual log messages), constantly updated, full 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 stop after ten high-ranking results. Keyword indexes don't capitalize much there, and they are complex, expensive to maintain and often impose multi-minute ingestion delays.
We've taken a much simpler approach, building a streamlined, columnar data store that's optimized for log data. The basic plan is that they just store logs and scan them, dote top-notch old-fashioned grep. They then Use a lot of tricks to minimize the amount of data that needs to subsist scanned; for instance, when querying specific fields of a log, the columnar data layout means that they need to scan only those fields.
2) They process queries one at a time, globally. This allows each customer to Use their entire search cluster, with aggregate search performance of 1.5 terabytes per second. It's speedy 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 foundation grows, performance increases.
3) We've built a separate back cessation for repetitive queries, such as those used in dashboards or alerting rules. This allotment of the system is based on a time series database, with a custom time series for each query. The ingestion engine automatically updates these time series as log messages arrive. This means they don't need to execute queries to parade a dashboard or evaluate an alerting rule—the relevant 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 dash a query, engineers avoid using them. They fill most queries in a fraction of a second. They moreover ingest data in existent time: original 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 respond on his or her screen. The fastest back cessation in the world is of itsy-bitsy Use if you spent five minutes wrestling with the query language. They depend on their performance, as well as their talent to parse logs and extract structured data on ingestion, to provide a set of visual exploration tools that allows engineers to pick up answers without becoming query language experts. There's a query language, but you can dive in without knowing anything about it.
Finally, customers often choose us for their scalability. They continue to work well not only as server matter 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 lumber 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 relish a log management platform that does not suffuse ruthless licensing fees for original users, involve long ramp-up times or require learning arcane query languages. It's meant for teams who need to lumber 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 odds increasingly is the technology stack and the speed at which that stack can evolve. Scalyr is captious to enabling that. Some of their customers comprehend NBCUniversal, OkCupid, Zalando and ReturnPath.
Within those organizations, the primary Scalyr user usually comes from engineering or DevOps. But Scalyr is simple enough to Use that they often notice usage spread to other roles dote support, which can search logs to track down specific client problems. Some of their customers relish upwards of 1000 individuals with Scalyr logins. Typically, half the users are active on a weekly basis, which is huge engagement 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 support many different models. Some dash their own servers or virtual servers. Some are on Kubernetes, while others are serverless. Regardless, setup first involves retrieving logs. The most common way of doing this is with a lightweight agent that customers can install as a container, sidecar or whatever they need. They moreover relish API integrations to retrieve logs directly from the wide array of cloud services in Use today.
Once the logs are flowing in, you're off and running, but an well-known further step is to set up parsing rules. This allows us to extract structured data, unlocking the full power of the analysis and visualization tools. To accomplish this as light as possible, we've built three generations of parsing engines. The current engine is so light to use, we've literally set a button in the product that tells their support team to set up the rules for you. Of course, being engineers, many of their customers prefer to attain it themselves.Conclusion
With today's internet, the "app" increasingly is the commerce (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 Use of containers, serverless and other technologies. That is where Scalyr comes in with its log analysis platform. It is crazy speedy and light to use. To learn more about this wonderful product, visit https://www.scalyr.com.
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