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000-455 exam Dumps Source : High Volume Storage Fundamentals V3
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IBM high Volume Storage Fundamentals
Falk Pollok, Parijat Dube
With over 40,000 Github stars and adoption in cloud structures from IBM Cloud Kubernetes service, Amazon Elastic Container service for Kubernetes (EKS) over Azure Kubernetes service (AKS) to obviously Google Kubernetes Engine (GKE), Kubernetes has gyrate into probably the most prominent cloud technologies. besides these public cloud examples it has similarly superior in on-premise and hybrid cloud deployments from IBM Cloud inner most (ICP) to GKE on-prem and Redhat’s OpenShift. consequently, it comes at no shock that it's moreover closely used within IBM research where we've effectively tailored it for AI workloads. besides the fact that children, microservice architectures frequently require tactics and therefore containers to live stateless which is as an instance demanded in point 6 of the Twelve constituent App guidelines. Sending statistics over the community is without doubt one of the leading bottlenecks to retain away from in any information-centric workload from huge data jobs equivalent to Spark-based statistics science jobs to practising in abysmal learning and abysmal reinforcement studying up to neural community visualization. Storage options in Kubernetes believe viewed loads of alterations over coincident types resulting in the latest solution of Persistent extent Claims and Flex Drivers in addition to specialized storage drivers like Intel’s VCK. in preference to specializing in a historic perspective they can listed here succeed a more palms-on strategy and present diverse storage alternate options as well as a short future outlook on this evolving container.
we are able to first seem at the three typical storage alternate options cloud object storage (COS), file storage (NFS) and obstruct storage (ext4 by way of iSCSI) because the leading topic of this article after which briefly finger upon AI-certain concerns and evolving applied sciences.
primary volume Provisioning Mechanisms in Kubernetes
Provisioning Volumes with Persistent Volumes and protracted volume Claims
There are two Important objects for Kubernetes volumes, Persistent Volumes (PV) and protracted quantity Claims (PVC), which helps a separation of considerations: administrators can provision PVs and builders can request storage by the spend of PVCs. Volumes can both live provisioned statically via manually developing these objects or they may moreover live provisioned dynamically through a storage category, through which case the developer handiest creates a PVC that refers to a selected storage category and Kubernetes will ply the provisioning dynamically through storage drivers.
firstly, volume plugins had to live in-tree, i.e. they needed to live compiled with Kubernetes which turned into alleviated by way of so known as Flex volumes which are the existing state-of-the-paintings in productive used and should live used in this blog post. Flex volumes enable exterior volume plugins, but nevertheless frequently require root node entry since they require dependencies to live apportion in on the staff.
The Cloud object Storage driver they focus on under, as an instance, depends on s3fs binaries and should installation them via launching a daemonset that runs one pod on each and every worker node so that you can then open a tunnel into the worker itself (which requires privileged entry) to copy its binaries.
a higher approach within the close future can live using CSI drivers as a way to evade fully containerized and hence now not depend on advanced privileges. furthermore, it's an independent common that moreover applies to other cloud orchestrators (COs) like Docker and Mesos and it'll live used in the course of the equal Kubernetes primitives mentioned above (PVs, PVCs and storage courses), so most of this weblog publish collection may quiet live applicable even after the transition.
File storage is the least difficult to install, on account that it's supported via default — we achieve not deserve to installation drivers and may without delay provision a Persistent quantity declare with it. if you list your storage courses (and grep for file storage in specific) you'll find that there are distinctive QoS classes:
$ kubectl accept sc | grep ibmc-filedefault ibm.io/ibmc-file 24dibmc-file-bronze ibm.io/ibmc-file 24dibmc-file-customized ibm.io/ibmc-file 24dibmc-file-gold ibm.io/ibmc-file 24dibmc-file-retain-bronze ibm.io/ibmc-file 24dibmc-file-maintain-customized ibm.io/ibmc-file 24dibmc-file-continue-gold ibm.io/ibmc-file 24dibmc-file-continue-silver ibm.io/ibmc-file 24dibmc-file-silver ibm.io/ibmc-file 24d
The bronze, silver and gold courses are so called SoftLayer forbearance storage (roughly significance it determines IOPS by way of size and provides assist for snapshots and replication) — which you can locate their exact specs in the storage category reference. customized storage permits one to specify with first-rate granularity what number of IOPS are required. The underlying challenging disk category is then decided by the IOPS/GB ratio (<= 0.3 SATA, >0.3 SSD). preserve determines no matter if your information are stored if you delete the corresponding PVC.
after getting determined your storage classification you can create a PVC as follows:
kubectl apply -f - <<EOFapiVersion: v1kind: PersistentVolumeClaimmetadata:name: nfspvcspec:accessModes:- ReadWriteOnceresources:requests:storage: 41GistorageClassName: ibmc-file-goldEOF
we will first conclude displaying a way to create PVCs for each and every storage category after which exhibit a way to mount them internal a pod.
Block storage is a cramped bit greater concerned, but additionally very convenient to installation, when you account that its helm charts are already offered in the IBM Cloud registry. consequently, they are able to just add the repository and evade here instructions to obtain a brand newfangled set of storage classes:
helm inithelm repo add ibm https://registry.bluemix.net/helm/ibmhelm repo updatehelm install ibm/ibmcloud-block-storage-plugin
in case you wish to search total available helm charts, evade helm search. they are able to then provision a PVC identical to before:
kubectl apply -f - <<EOFapiVersion: v1kind: PersistentVolumeClaimmetadata:identify: regpvcspec:accessModes:- ReadWriteOnceresources:requests:storage: 1GistorageClassName: ibmc-block-goldEOF
Cloud Object Storage
S3, the primary Storage carrier, originated as Amazon’s fifth cloud product over a decade ago. in response to SimilarTech it is used through over 200k sites, it's moreover the germane storage component for Netflix (which developed S3mper to deliver a consistent secondary index on suitable of an eventually consistent storage) in addition to Reddit, Pinterest, Tumblr and others. Arguably, greater crucial than the success of someone product is its adoption as an API. With cloud object storage options from a variety of cloud companies adapting it, it has been one of the first vendor-impartial cloud requisites. IBM’s Cloud object Storage is S3 appropriate and may for this intuition live used with any S3-appropriate tooling. In here, they will setup a COS example, latest vital outfit and focus on a way to quite simply sheperd it inside a Kubernetes cluster via FLEX drivers.
Setup of COS
look for “Cloud object Storage” in IBM Cloud, click on on the “Object Storage” infrastructure carrier.
click on on “Create”. that you may spend default parameters.
Afterwards, you deserve to create newfangled credentials. tickle construct certain to set "HMAC":proper as inline configuration parameter. this can live certain that an entry key id and furtive access key pair are created that they will spend for a Watson computing device discovering chance in addition to managing their COS buckets with the AWS CLI.
Afterwards, you can swap to the Buckets tab and create a brand newfangled bucket. tickle construct inevitable that this identify must live globally unique.
once a bucket exists, they are able to manually add info to it. The realistic depicts how to accomplish that by the spend of the GUI.
for instance, they could add the MNIST dataset.
Cloud object Storage Tooling
once you believe a COS example, you could access it during the S3 a allotment of the AWS CLI. anyway the standard file commands cp (reproduction), ls (record), mv (circulation) and rm (eradicate) accepted from unixoid working systems it allows for us to sync info, construct buckets (mb) and remove them (rb) [interested readers find the less used commands presign and website in the documentation]. In follow, this can seem as follows:
aws s3 rm --recursive --endpoint-url https://s3-api.us-geo.objectstorage.softlayer.net s3://<bucket_name>
aws s3 ls --endpoint-url https://s3-api.us-geo.objectstorage.softlayer.web s3://<bucket_name>
reproduction file to COS (also works to download COS data if parameters are flipped)
aws s3 cp --endpoint-url https://s3-api.dal-us-geo.objectstorage.provider.networklayer.com <local_file> s3://<target_bucket>
upload total data from present listing to COS
aws s3 cp --endpoint-url https://s3-api.dal-us-geo.objectstorage.carrier.networklayer.com --recursive . s3://<target_bucket>
To specify the credentials to spend you could define the atmosphere variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY either globally or simply in front of the command, e.g.
AWS_ACCESS_KEY_ID=<AWS_ACCESS_KEY> AWS_SECRET_ACCESS_KEY= <AWS_SECRET_ACCESS_KEY> aws s3 ls --endpoint-url https://s3-api.us-geo.objectstorage.softlayer.internet s3://<BUCKET_NAME>
then again, which you can modify ~/.aws/credentials to encompass diverse keys following the sample
[<PROFILE_NAME>]aws_access_key_id = <AWS_ACCESS_KEY>aws_secret_access_key = <AWS_SECRET_ACCESS_KEY>
The entry the situation <PROFILE_NAME> is default is used in case you achieve not specify a profile within the CLI command. other entries can moreover live used as follows:
aws s3 ls --endpoint-url https://s3-api.us-geo.objectstorage.softlayer.web --profile <PROFILE_NAME> s3://<BUCKET_NAME>
Mounting COS to file device by means of s3fs and goofys
as an alternative of total the time specifying total parameters and the accurate bucket identify and performing total operations in the course of the AWS CLI, it is greater handy to mount the bucket as a folder onto the present file system. This can live done by means of s3fs or goofys. To mount a bucket by the spend of goofys just create a file ~/.aws/credentials that contains the credentials like this:
[default]aws_access_key_id = <ACCESS_KEY>aws_secret_access_key = <SECRET_ACCESS_KEY>
download goofys with wget http://bit.ly/goofys-newest and then mount the volume by means of
./goofys-latest --endpoint=https://s3-api.us-geo.objectstorage.softlayer.internet <BUCKET_NAME> ~/testmount
(assuming you believe got created the mount target by the spend of mkdir ~/testmount and made goofys executable by way of chmod +x goofys-newest)
which you could unmount the extent by means of sudo umount ~/testmount/
however, which you could spend s3fs. Create a credentials file ~/.cos_creds with:
be inevitable neither your neighborhood nor others believe access rights to this file, e.g. via chmod o-rwx ~/.cos_creds you can then mount the bucket by way of
s3fs dlaas-ci-tf-practicing-statistics-us-average ~/testmount -o passwd_file= ~/.cos_creds -o url=https://s3-api.us-geo.objectstorage.softlayer.web -o use_path_request_style
be sensible that s3fs can optionally provide wide logging assistance:
s3fs dlaas-ci-tf-practising-information-us-usual ~/testmount -o passwd_file= ~/.cos_creds -o dbglevel=information -f -o curldbg -o url=https://s3-api.us-geo.objectstorage.softlayer.web -o use_path_request_style &
extra assistance about s3fs can e.g. live discovered here.
In essential test environments it can live adequate to mount the folder as a host quantity, e.g. into Minikube by means of minikube mount ~/testmount:/cosdata [Note: This will spawn a daemon that will retain running so either apportion it in background or continue in newfangled terminal] To examine you could then ssh into Minikube (minikube ssh) and checklist the data with ls /cosdata Then in gyrate that you could mount the listing from in the Minikube VM into a pod by the spend of hostPath binding:
kubectl create -f proxymounttest.yml
apiVersion: v1kind: Podmetadata:identify: ubuntuspec:containers:- name: ubuntuimage: ubuntu:14.04imagePullPolicy: IfNotPresentstdin: truestdinOnce: truetty: trueworkingDir: /cosdatavolumeMounts:- mountPath: /cosdataname: host-mountvolumes:- name: host-mounthostPath:path: /cosdata
Of course, you could obtain the identical through a PVC. each processes result in the result for you to exec into the pod (kubectl exec -it ubuntu -- /bin/bash) and evade ls /cosdata to list the folder similar to they did within the Minikube VM.
despite the fact, for Kubernetes clusters in creation it is extra pleasing to accurately mount volumes by way of drivers and hence they can debate in here how to spend a Flex driver.
Cloud object Storage: Driver Setup
Now that the Helm charts are available in IBM Cloud it suffices to construct spend of them to gain storage classes for COS, i.e.
helm repo add stage https://registry.stage1.ng.bluemix.internet/helm/ibmhelm repo updatehelm fetch --untar stage/ibmcloud-object-storage-pluginhelm plugin deploy ibmcloud-object-storage-plugin/helm-ibmchelm initkubectl accept pod -n kube-gadget | grep tiller# Wait & verify unless condition is Runninghelm ibmc installation stage/ibmcloud-object-storage-plugin –fibmcloud-object-storage-plugin/ibm/values.yaml
that you can then list the brand newfangled storage classes: kubectl accept sc
Cloud object Storage: sheperd Driver Setup
IBM has released an open supply COS plugin for Kubernetes. it's currently essentially the most intricate to setup of total courses, nevertheless it isn't unreasonable to hope that helm charts for COS are quickly introduced to the IBM repository after which the setup might live as effortless as obstruct storage. nevertheless, it is a mighty demonstration, considering that it suggests the way to load custom drivers into IBM Cloud. The manual setup wants custom images, so you want credentials for both an IBM Cloud container registry or for a personal Docker registry. The steps under assume that you've got set the environment variables DOCKER_REPO, DOCKER_REPO_USER, DOCKER_REPO_PASS and DOCKER_NAMESPACE to your registry credentials as well as docker namespace.
let us afterwards clone and assemble the driving force:
git clone https://github.com/IBM/ibmcloud-object-storage-plugin.gitcd ibmcloud-object-storage-plugin/set up/binary-construct-and-install-scripts/./construct-all.sh
We then deserve to login to their registry and thrust the images they simply developed.
docker login --username=$DOCKER_REPO_USER --password=$DOCKER_REPO_PASS https://$DOCKER_REPO
docker tag ibmcloud-object-storage-deployer:v001 $DOCKER_REPO/$DOCKER_NAMESPACE/ibmcloud-object-storage-deployer:v001docker tag ibmcloud-object-storage-plugin:v001 $DOCKER_REPO/$DOCKER_NAMESPACE/ibmcloud-object-storage-plugin:v001
docker thrust $DOCKER_REPO/$DOCKER_NAMESPACE/ibmcloud-object-storage-deployer:v001docker thrust $DOCKER_REPO/$DOCKER_NAMESPACE/ibmcloud-object-storage-plugin:v001
Now they deserve to installation the plugin and driver. As a primary step, they should adapt the YAML descriptors to consult with their docker registry and namespace. considering that they try this via sed and macOS doesn't spend GNU sed through default, they spend a variable CMD_SED to factor to the right command. On macOS this assumes you installed GNU sed as gsed, e.g. by means of brew. They additionally necessity to create a docker-registry furtive on the Kubernetes cluster so it might probably authenticate in opposition t the container registry and tug the photos. eventually, they can installation the plugin, provisioner and storage classification.
operating_system=$(uname)if [[ "$operating_system" == 'Linux' ]]; thenCMD_SED=sedelif [[ "$operating_system" == 'Darwin' ]]; thenCMD_SED=gsedfi# exchange photograph tag in yaml descriptors to aspect to registry and namespace$CMD_SED -i "s/image: \"ibmcloud-object-storage-deployer:v001\"/photo: \"$DOCKER_REPO\/$DOCKER_NAMESPACE\/ibmcloud-object-storage-deployer:v001\"/g" set up-plugin.yaml$CMD_SED -i "s/picture: \"ibmcloud-object-storage-plugin:v001\"/photo: \"$DOCKER_REPO\/$DOCKER_NAMESPACE\/ibmcloud-object-storage-plugin:v001\"/g" install-provisioner.yaml# Create secret, then set up daemonset and pluginkubectl create furtive docker-registry regcred --docker-server=$DOCKER_REPO --docker-username=$DOCKER_REPO_USER --docker-password=$DOCKER_REPO_PASS --docker-e email@example.com -n kube-systemkubectl create -f set up-plugin.yamlkubectl create -f installation-provisioner.yamlcd ..kubectl create -f ibmc-s3fs-standard-StorageClass.yaml
kubectl create -f ibmc-s3fs-usual-StorageClass.yaml
Provision Cloud object Storage PVC and test Pod
With the driver it's now handy to create a PVC, however unlike the previous tactics they necessity a furtive to hang their COS credentials. hence, they create the key first:
kubectl succeed -f - <<EOFapiVersion: v1kind: Secrettype: ibm/ibmc-s3fsmetadata:name: inspect at various-secretnamespace: defaultdata:entry-key: <AWS_ACCESS_KEY>secret-key: <AWS_SECRET_ACCESS_KEY>EOF
Please keep that the credentials should live Base64 encoded, so tickle encode them by the spend of reflect -n "<SECRET>" | base64
we are able to then create the PVC itself:
kubectl succeed -f - <<EOFkind: PersistentVolumeClaimapiVersion: v1metadata:identify: s3fs-test-ds-pvcnamespace: defaultannotations:extent.beta.kubernetes.io/storage-type: "ibmc-s3fs-common"ibm.io/auto-create-bucket: "genuine"ibm.io/auto-delete-bucket: "authentic"ibm.io/bucket: "<pleasing bucket_name>"ibm.io/endpoint: "https://s3-api.us-geo.objectstorage.softlayer.internet"ibm.io/location: "us-common"ibm.io/secret-identify: "look at various-secret"spec:accessModes:- ReadOnlyManyresources:requests:storage: 40GiEOF
Now that every one PVCs believe been created they are able to create a pod that mounts total of them:
kubectl apply -f - <<EOFapiVersion: v1kind: Podmetadata:identify: s3fs-look at various-podnamespace: defaultspec:containers:- identify: s3fs-examine-containerimage: anaudiyal/endless-loopvolumeMounts:- mountPath: "/cos"identify: s3fs-test-volume- mountPath: "/block"name: block-examine-quantity- mountPath: "/nfs"identify: nfs-test-volumevolumes:- identify: s3fs-verify-volumepersistentVolumeClaim:claimName: s3fs-verify-pvc- name: block-look at various-volumepersistentVolumeClaim:claimName: regpvc- identify: nfs-test-volumepersistentVolumeClaim:claimName: nfspvcEOF
AI-particular Storage solutions: Intel vck
Intel vck (previously KVC — Kubernetes volume Controller) is being developed via Intel AI and customized-tailor-made for AI workloads. It offers entry to a various set of information sources via a customized resource Definition the inner workings of which believe been outlined in a blog publish through them. as an alternative of IBM Cloud they tried this in a endemic DIND Kubernetes cluster. in order to set it up execute here:
kubectl create namespace vcknskubectl config set-context $(kubectl config current-context) --namespace=vcknsgit clone https://github.com/IntelAI/vck.git && cd vckhelm init# Wait unless kubectl accept pod -n kube-system | grep tiller suggests working state# alter helm-charts/kube-volume-contoller/values.yaml to spend legitimate tag from https://hub.docker.com/r/volumecontroller/kube-extent-controller/tags/helm deploy helm-charts/kube-extent-controller/ -n vck --wait --set namespace=vcknskubectl accept crdexport AWS_ACCESS_KEY_ID=<aws_access_key>export AWS_SECRET_ACCESS_KEY=<aws_secret_access_key>kubectl create furtive conventional aws-creds --from-literal=awsAccessKeyID=$AWS_ACCESS_KEY_ID --from-literal=awsSecretAccessKey=$AWS_SECRET_ACCESS_KEYkubectl create -f elements/customresources/s3/one-vc.yaml# content material of elements/customresources/s3/one-vc.yaml:apiVersion: vck.intelai.org/v1alpha1kind: VolumeManagermetadata:identify: vck-example1namespace: vcknsspec:volumeConfigs:- identity: "vol1"replicas: 1sourceType: "S3"accessMode: "ReadWriteOnce"nodeAffinity:requiredDuringSchedulingIgnoredDuringExecution:nodeSelectorTerms:- matchExpressions:- key: kubernetes.io/hostnameoperator: Invalues:- <SOME_K8S_WORKER_NODE_NAME>potential: 5Gilabels:key1: val1key2: val2options:endpointURL: https://s3-api.us-geo.objectstorage.softlayer.netawsCredentialsSecretName: aws-credssourceURL: "s3://<BUCKET_NAME>/"
kubectl create -f supplies/pods/vck-pod.yaml# content of substances/pods/vck-pod.yaml:apiVersion: v1kind: Podmetadata:identify: vck-claim-podspec:affinity:# nodeAffinity and hostPath beneath believe been copied from output of# kubectl accept volumemanager vck-example1 -o yamlnodeAffinity:requiredDuringSchedulingIgnoredDuringExecution:nodeSelectorTerms:- matchExpressions:- key: vck.intelai.org/vckns-vck-example1-vol1operator: Existsvolumes:- name: dataset-claimhostPath:path: /var/datasets/vck-useful resource-<LONG_ID>containers:- image: busyboxcommand: ["/bin/sh"]args: ["-c", "sleep 1d"]name: vck-sleepvolumeMounts:- mountPath: /var/dataname: dataset-claim
that you may afterwards exec into the pod with kubectl exec -it vck-declare-pod sh and listing the bucket content with ls /var/statistics.
IBM dropped its quarterly wave of storage items this week, focusing in particular on latency-reducing NVMe applied sciences and managing turning out to live volumes of unstructured records.
IBM followed via on its roadmap to broaden sheperd for conclusion-to-end NVMe from application servers to storage arrays with the launch of a newfangled Storwize V7000 system. The Storwize V7000 is the primary IBM midtier system to add assist for NVMe-oF, offering a Fibre Channel (FC) alternative.
other IBM storage products launched or upgraded embrace Spectrum Virtualize, Spectrum discover, Storage Insights, IBM Cloud object Storage, a FlashSystem A9000R array and a TS1160 commercial enterprise tape drive.
"here is just one more instance that we're in the 12 months of NVMe," said Scott Sinclair, an analyst at commercial enterprise fashion neighborhood. "Storage companies are embracing the benefits of NVMe technology to supply higher storage performance and extra efficient records entry."
Eric Burgener, an IDC analyst, stated or not it's crucial for IBM to prolong NVMe sheperd throughout its portfolio. IDC analysis predicts that, with the aid of 2021, programs that spend NVMe as opposed to SCSI as a groundwork expertise will generate as a minimum half of exterior simple storage earnings.
"we believe had total this infrastructure modernization going on and the newfangled workloads that necessity to live managed consist of loads of true-time huge data analytics that you simply just in reality can not evade on SCSI," Burgener pointed out. "There are workloads that fully should believe NVMe in the mix."
IBM's FlashSystem 900 enabled NVMe over InfiniBand early this 12 months, and the FlashSystem 9100 shipped in August with conclusion-to-end NVMe support.
IBM Storwize V7000 is a midrange all-flash array that helps end-to-end NVMe.
NVMe over Fibre Channel aid
IBM now helps the NVMe over FC transport alternative in storage items that spend its Spectrum Virtualize software, including the brand newfangled Storwize V7000. purchasers that bought IBM's SAN extent Controller, FlashSystem 9100 and V9000 or Storwize V7000F after September 2016 can permit NVMe over FC through a nondisruptive replace of the IBM Spectrum Virtualize code. IBM plans to add back for NVMe over Ethernet through Spectrum Virtualize in 2019, in keeping with Eric Herzog, chief advertising and marketing officer and vp of worldwide storage channels at IBM.
Like many IBM storage items, the newfangled Storwize V7000 ships with Spectrum Virtualize application to convey business facts services to IBM and third-birthday party storage programs. These capabilities encompass snapshots, replication, at-leisure encryption and synthetic intelligence-primarily based information tiering.
The Storwize V7000 now comprises hardware-primarily based compression and encryption to prick the performance impact of those features. Herzog mentioned IBM makes spend of additional processor chips in its newfangled FlashCore Modules to permit the hardware-based mostly at-relaxation records encryption and compression.
a newfangled NVMe-based 19.2 TB FlashCore Module additionally serves to raise the density of the Storwize device. The all-flash Storwize V7000 presents a maximum raw potential of 461 TB per ply enclosure and as much as 32 PB in a four-method cluster. scintillate power capacity alternatives are four.8 TB, 9.6 TB and 19.2 TB, and IBM claims it will possibly convey 5-to-1 records compression.
Enabling off-the-shelf NVMe SSDs
Storwize ships with IBM's newfangled 2.5-inch FlashCore Modules with the aid of default, but consumers can elect industry mediocre NVMe-primarily based SSDs or add HDDs from third-party providers. Herzog stated IBM's FlashCore Modules present larger efficiency, reduce latency and a longer seven-12 months assurance than open-market SSDs that are customarily guaranteed for 3 to five years.
Burgener spoke of IBM's shift to permit using off-the-shelf NVMe SSDs "really shows that they don't believe there may live that plenty of a performance unlikeness linked to customized hardware anymore."
"if you want to evade inline facts functions, like compression and encryption, you can achieve this with decrease latencies on these FlashCore Modules. but when you're no longer interested in that, then the NVMe SSDs are in fact a much less costly option. That, to me, is their future course," Burgener referred to.
also among newfangled IBM storage products is a newfangled 18 TB customized scintillate module that may double the maximum skill of its FlashSystem 900. a brand newfangled 15.36 TB scintillate module boosts storage density in IBM's excessive-conclusion DS8880F arrays concentrated on the Unix, Linux and mainframe markets. a newfangled DS8880 zHyperLink card improves latency.
IBM additionally delivered an entry-stage configuration of the FlashSystem A9000R outfit designed for cloud storage.
Spectrum find product aimed toward 'records oceans'
IBM's newfangled Spectrum find product is designed to automate the cataloging of unstructured facts via mediocre metadata and newly created customized metadata to facilitate facts analytics, governance and storage optimization. The utility deploys as a VMware digital appliance and contains an API to permit statistics analytics, compliance and different applications to access the metadata.
"overlook data lakes. you might believe now obtained oceans of facts. how are you going to leverage that ocean of facts to accept value out of it?" Herzog spoke of.
using custom metadata tags, Spectrum ascertain can assist to velocity the facts scanning technique, in particular with compliance functions that necessity to search via doubtlessly billions of info, Herzog spoke of. With analytics workloads, statistics scientists regularly must labor with storage directors to apportion together the data, and Spectrum find may automate and streamline the procedure, he brought.
"The fastest array on this planet won't back in case you believe no concept what your information is," wrote Steve McDowell, an analyst at Moor Insights & method, in an email. "IBM's Spectrum ascertain will resolve real-world problems in records management. I believe they are going to descry others emulating IBM on this entrance."
Spectrum find is in accordance with expertise from IBM analysis and supports unstructured records in IBM Cloud object Storage outfit and IBM Spectrum Scale. IBM plans to add assist for Dell EMC Isilon subsequent 12 months.
more updates to IBM storage products
An update to IBM's free cloud-based mostly Storage Insights useful resource management utensil provides capabilities to create and schedule custom-made studies and diagnose SAN bottlenecks. AI technology can realize storage community gridlock, triggering an alert for an IBM sheperd technician to contact the consumer. the first version of Storage Insights became frequently attainable final February.
IBM's pay-for-what-you-use Storage Utility offering can now enable twin-system high-availability configurations at a starting month-to-month rate that is handiest 20% more than the pervade to hire a separate gadget. The IBM Storage Utility offering additionally added assist for an information insurance device product, the TS7760 digital tape library.
Updates to IBM storage products are not restrained to flash. the brand newfangled entry-degree TS1160 business tape constrain improves performance; helps write once, able many (WORM) for clients in regulated industries; and boosts capacity to 20 TB, a doubling of the prior TS1150 model. IBM's TS3500 and TS4500 libraries back the newfangled tape drive.
IBM Cloud object Storage moreover adds newfangled WORM capacity for cost-effective mirrored and focused dispersal mode configurations. The product moreover supports more concurrent spend circumstances with a 50% enhance in the maximum number of assist vaults per device.
next 12 months, IBM plans to aid NVMe in its Cloud object Storage, because the supported servers that evade the software add NVMe-based mostly scintillate drives. NVMe over Ethernet aid is on IBM's 2019 roadmap for Spectrum accelerate, with the FlashSystem A9000/R, and Spectrum Virtualize.
FlashSystem A9000/R is additionally expected to spend AI expertise to automate statistics deduplication and ease capacity administration subsequent yr.
additionally in 2019, IBM plans to extend its AI reference architectures with an Nvidia choice, structure on the power AI reference structure the company unveiled in June.
The latest updates to IBM storage items additionally protected SAP HANA certification for its FlashSystem 9100 and newfangled Storwize V7000, Spectrum present protection to, Spectrum reproduction information administration and Spectrum Virtualize. IBM licensed FlashSystem 9100 with Epic digital healthcare statistics management software this year and plans so as to add assist for Meditech next yr. IBM additionally expects to lengthen solutions aid to blockchain next yr.
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First impressions and design
Great looking aluminium corpse with chrome trim
Reversible USB-C and headphone jack
The elegant chrome trim is the design feature you first notice and it gives the Nokia 8.1 a sophisticated look.
Sandwiched between the curved edges of the front and back glass, the aluminium frame gives the phone a pleasingly solid feel, as well as a very cozy grip.
The Nokia 8.1 retails the solidity they believe Come to hope from the Nokia brand but adds a premium feel with its selection of materials.
With a great screen exceeding 6 inches, this is undoubtedly a larger than mediocre phone. But it handles well and the weight is well distributed, a testament to the supervision Nokia has taken with its design.
The power button and volume rocker are located on the right, consistent with the ease of the Nokia models. And they feel very sturdy too.
The fingerprint locking sensor, located at the back, is filled with the selfsame glass as the ease of the corpse but it is highlighted by a thin chromed set that makes it smooth to locate it when picking up the phone.
Nokia seems to believe settled with the fingerprint on the back. It may seize a few days to accept used to it if your current phone has it at the front. But it’s well positioned and smooth to find.
The corpse is well designed. Even without a case, the grip is kindly and the shiny chrome trim looks fantastic.
A reversible USB-C that supports posthaste charging. The headphone jack is on the top left of the device.
Front/back glass, aluminum frame
154.8 x 75.8 x 8 mm
Screen and sound
Very sparkling IPS LCD screen
Single speaker doesn’t deliver abysmal sound but it’s quiet reasonably loud
While the LCD screen doesn’t quite match the flat of saturation seen on the AMOLED screens of some more expensive competitors, the high contrast and vibrant colours construct this one of the best we’ve seen from Nokia.
Plenty of brightness available when needed.
PureDisplay, accessible from the panoply settings allows you to set the screen to automatically adjust brightness to the environment and usage as well as a Vivid and Cinema mode.
We’ve institute that the default Dynamic setting delivers the best sustain in a variety of conditions and the Adaptive Brightness, that adjusts to the environment light levels is posthaste and effective.
Both the resolution and pixel density are comparable to the ones institute in its closest competitors namely the OnePlus 6T and honor View 20.
But the Nokia 8.1 is slightly different when it comes to screen ratio. It has a less narrow 19:9 that makes it perfectly proportioned for web browsing and gaming.
The sound from the separate speaker, located the bottom of the device, is faultless for YouTube videos. But if you want to really bring the house down, spend a kindly trait Bluetooth speaker.
The Nokia 8.1 has a mighty trait screen with kindly viewing angle, excellent contrast and plenty of brightness when the situation demands it.
6.8 inches (95.3cm2)
1080 x 2280 pixels, 19:9 ratio (~408 ppi density)
Good all-rounder, especially for the price
The only phone we’ve institute at this charge point with Optical Image Stabilisation
Does a mighty job in low light
The camera is a double-lensed 12-megapixel main paired with a 13-megapixel depth sensor. It has Optical Image Stabilisation and their test showed some of the best results at this charge point. And it’s by far the best camera they believe seen on any HMD Global made Nokia phones.
The camera can live activated with a double-tap on the power button. The interface is responsive and smooth to navigate.
Results believe a kindly equipoise of detail and colour saturation, particularly in kindly light conditions.
Compared to competitors in a similar charge point, the Nokia 8.1 performs well in low light.
Clouds are beautifully detailed and the sky has a abysmal blue.
*Another tricky shot. But the result is good. *
An evenly lit with realistic colours.
The keen detail in the brickwork in this low-light shot is impressive.
This pleasant evening scene needed only a cramped tweak in exposure levels to bring up the dusky corners.
In kindly lighting, the shallow depth of territory sequel works brilliantly with any subject.
Low-light performance is worth mentioning as one of the strongest points of the Nokia 8.1 camera.
We are used to seeing mid-range cameras showing swear when tested in kindly light only to fail miserably with too much image hubbub in a dimly lit room. This is not the case for the main camera of the Nokia 8.1 which delivers plenty of details in conditions where we’d hope grainy or blurred results.
Nokia branded phones believe punched above their weight when it comes to Portrait mode and the Nokia 8.1 is no exception. The subject’s edges are well defined and rarely inspect artificial.
The selfie camera has a 20-megapixel sensor with pixel binning technology. Rather than live thrown away as the name suggests, four pixels are combined into one. The point of this process is to discard the hubbub while keeping the detail.
The result is images that believe lower resolution, i.e. they lose detail when enlarged, but are brighter than even your eyes can detect. Selfies are the faultless application for this technology as they are often shot in dim conditions and overall brightness is more Important than detail.
The camera is moreover capable of recording video of 4K resolution at 30 frames-per-second. This is where the Optical Image stabilisation really comes into its own by getting rid of the camera shake high-resolution videos often suffer from.
Main camera: 12MP +13MP. Selfie camera: 20MP
Optical image stabilisation
Pixel binning for brighter pictures in low light
Performance and battery life
Screen brightness greatly influence battery life
Highest specced Nokia is more than capable to evade games
Good amount of storage can moreover live upgraded
All the latest releases from Nokia believe prioritised energy efficiency and value for money over processing power. But not so for Nokia 8.1, which is fitted with the very capable Snapdragon 710. This gives even the very powerful honor View 20 a evade for its money, especially when you account the Nokia’s lower charge point.
We tried one of the heaviest games out there, Asphalt 9: Legends and institute it could live played at the default trait setting with no noticeable lag.
Of course, a mighty deal of credit for its kindly performance goes to the fantastic Android One operating system.
As seen with other Nokia models, the device runs on a Google-made platform that offers total the essential functionality in a lightweight package.
There are no spare apps pre-installed so, no fancy weather widget or proprietary word feed reader that you don’t want. Instead, you can download the apps you want without being stuck with any you don’t.
In return, you accept a refreshingly clean, smooth to navigate interface and more space for the things you like.
All the essential Google apps are pre-installed. And Google Photos is a life-saver, as it gives you free high-res storage for your pictures, so you don’t necessity to worry about deleting passe snaps and videos. Even better, it integrates seamlessly with the Nokia 8.1 camera app, so you can flip between the two apps with ease.
Google Assistant, an AI-powered personal aide is moreover installed and it activates when you first set up your Nokia. It recognises voice controls and can give you quick and surprisingly accurate answers to questions like “Is it going to snow tomorrow?” or “What’s Keanu Reeves’ latest film?”
The advantages of the barebones software approach are not just limited in the efficient spend of resources. Most importantly, Android One guarantees prompt security updates and OS upgrades as they become available.
We institute the Nokia 8.1 an excellent device for gamers.
Memory is another district where the Nokia 8.1 didn’t skimp on. 4GB of RAM is more than adequate to evade anything you throw at it. And the 64GB is just about right for a modern phone, luckily. And it can live expanded with an additional 400GB. Still, the pre-installed Google Photos should assist saving storage space by keeping your photos and videos in the cloud.
Fingerprint unlocking is posthaste and we’ve institute no lag or failed attempts to unlock.
Smart Lock is an Android One feature that is worth exploring when first setting up your Nokia 8.1. It keeps the device unlocked when it’s safe to achieve so like when it’s in your pocket or at home. It’s a mighty feature that works well and removes the inconvenience of unlocking the phone when you’re in a safe setting.
It moreover includes facial recognition technology. It’s called “Trusted Face” so you can unlock the device by looking at it.
Fast processor and keen screen construct this the best Nokia for gaming so far.
It comes with a 3500mAh battery. I know that doesn’t sound huge. But it manages to deliver over a day of usage thanks to the excellent energy efficiency of the processor and Android One operating system.
Adaptive Battery, institute in the “Battery” section of the system settings, is a remarkably efficient way of making the most of your charge. It’s a ingenious utensil that learns your usage patterns and limits the background battery drain for apps that you spend less often.
The screen is by far the highest battery drain. But you can construct your battery eventual longer if you leave the panoply brightness to Auto and avoid increasing it unless you necessity to.
OS and version
Android 9 (Pie)
Value and verdict
HMD Global has been consistent in its approach with the Nokia brand of devices.
They avoid gimmicks and headline-grabbing features and instead focus on getting the Important things right with kindly build trait and a cleanly Android experience.
The 8.1, which retails at around £400 SIM-Free, is Nokia’s best device so far. And while it may miss out some premium features like water-resistance and wireless charging, it absolutely nails the fundamentals and is the best illustration of a mid-range phone we’ve tried.
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There’s no doubt the markets believe been in tumult since August, if you actually inspect back. It started with the tech sector, as high-growth stocks like chipmakers started getting hit with concerns over Q3 and Q4 numbers. Much of that had to achieve with the markets anticipating the implications of a U.S.-China trade war.
And while that yarn made the pecuniary news, the broad market was total right, the economy was chugging along (even as interest rates rose), consumers were spending and there was hope that a political deal would live prick to tamp down a trade war.
But then the trade war and the tit-for-tat tariffs began, and this started to believe implications across the entire market. Companies were starting to caution of weaker Q4s. Trade talks vanished and interest rates continued to rise.
Whether this is sector rotation or a correction or just a respite that refreshes, these 10 high-growth stocks with strong fundamentals here are mighty buys and quiet some of the highest-rated stocks my Portfolio Grader reports.
Fortinet (NASDAQ:FTNT) is in one sector that will never live threaten by economic transition and trade issues. Sadly, its specialty is regularly making headlines.
FTNT is one of the leading cybersecurity companies in the world. believe about the announcement from Marriott (NASDAQ:MAR) that it had more than half a billion accounts hacked over a term of years. The attackers got sensitive consumer information including credit cards and passport numbers. Dedicated and diligent cybersecurity is not an option in today’s world, it’s a must.
While the massive size of that hack and the reputation of the company made this is huge story, hacks are happening with increasingly regularity and companies are constantly reminded that structure a security platform — and listening to it — is crucial.
FTNT stock came in with strong earnings in early November. The stock sold off on the news, but it’s up 67% year to date, which is a testament to its powerful position in the sector.
Amazon.com (NASDAQ:AMZN) is one of the legendary FAANG stocks — Facebook (NASDAQ:FB), Apple (NASDAQ:AAPL), Amazon, Netflix (NASDAQ:NFLX), Google/Alphabet (NASDAQ:GOOGL) — that believe been targets of selling in the past few months.
And it’s true, most believe suffered some selling. AMZN is down 15% in the past three months. It moreover no longer has the largest market cap.
What’s more, a lot of articles are being written about the conclude of the FAANG stock reign. They talk about how they’re overvalued — AMZN is trading at a trailing P/E of 93 — and their reckoning is nigh.
Take a breath. AMZN remains a juggernaut in e-commerce, cloud computing and entertainment. Its situation in consumers’ consciousness is steadfast. And AMZN stock, even after its selloff, is quiet up 42% year to date.
BP PLC (BP)
BP (NYSE:BP), formerly known as British Petroleum, a state-sponsored oil company that was influential in the early days securing oil from the Middle East, remains one of the largest oil firms in the world.
It has more recently become known as the company that owned the rig that caused the biggest oil spill in the history of Gulf of Mexico oil progress (and the No 2 oil spill of total time).
But in this market, integrated oil companies are in a strong position. Their upstream can profit from increasing energy require and their downstream is staying sedulous distributing, refining and selling products to the markets.
It’s off 6% in the past three months, which puts it slightly underwater year to date, but its 6%-plus dividend lifts it back up again. And rumors of an OPEC-Russia production prick could descry its fortunes transpose quickly.
Netflix is another one of the FAANG stocks — and like AMZN, is trading with a P/E near 100. In this market that may seem insane. Those are dotcom bubble valuations.
But the fact is, NFLX is generating significant growth and aside from one blip in subscriber numbers this year, it is quiet killing it, quarter after quarter. And the next newfangled market is India, the second most populous market in the world. One with a huge appetite for content, where a NFLX could really add value.
Perhaps more Important is the fact that NFLX moreover recently stated that it’s not going to construct prance into China just yet. That allows NFLX to focus on India and not overextend itself.
Salesforce.com (NYSE:CRM) used its ticker to remind everyone what it is total about — customer relationship management.
Basically, CRM stock was a pioneer in structure a cloud-based model for enterprise flat customers so that they could integrate and automate their marketing, customer service and sales forces. Salesforce allows complete visibility of a customer’s account so that each person can succeed the client journey and step in when there’s an break or an issue.
And CRM remains a significant player in this growing sector, as more companies descry the advantages of scaling their businesses. Just eventual week, in the midst of total this market madness, CRM had its best day in 3.5 years. That a gigantic vote of confidence.
Up 34% year to date, CRM is a high-growth stock that sells at a premium, but it’s well deserved.
ConocoPhillips (NYSE:COP) has been in the oil and natural gas business since 1875. It has seen a few things over that time. Ulysses S. accord was president. The first Kentucky Derby was run. Since then, the U.S. has been in and out of more than a half dozen panics, recessions and depressions — and COP is quiet kicking.
The point is, this is a company that has thrived in a volatile industry for 143 years.
COP stock is well diversified around the world and moreover has a kindly merge of oil and natural gas properties, so it’s not over-weighted in any one sector.
COP stock is up 21% year to date, even through this wild ride in the oil markets. And its tower has been even — even the volatility in the energy patch didn’t hit this high-growth stock.
CSX Corporation (NYSE:CSX) is one of the largest rail-based transportation companies in the U.S. Going total the way to its beginnings in 1827, CSX has merged and acquired other rail lines since the 1980s and now is a preponderant constrain in the industry.
The Dow Theory was developed from the writings of Charles Dow, founder of the Wall Street Journal and the Dow Jones Industrial Average. And one of its core tenants was that you could gauge the health of the economy by looking at the relationship between the Industrials and the Transports. If orders were coming into factories, then the transports would live sedulous taking orders from the factories to the stores. If transports were slowing, it meant industrial orders were slowing.
While the economy is a bit more complicated today, a consumer driven economy can quiet dependence on transport performance to give some indication of economic health.
CSX is up 25% year to date and is quiet trading at a trailing P/E of 9.
Enterprise Products Partners (EPD)
Enterprise Products Partners (NYSE:EPD) is a limited partnership that operates in the midstream energy market.
To unpack that a bit, a limited partnership structure means that investors are treated like owners, so the company’s net income is distributed to shareholders in the contour of a dividend. These are usually high-dividend-paying stocks because of this structure.
The midstream sector of the energy market is basically pipelines. EPD owns an extensive network of U.S. pipelines that prance oil and natural gas to and from fields, storage tanks, refineries, etc.
The midstream sector is more effected by require than energy prices since it charges by volume through its pipes rather than by commodity prices. That means when require is growing, its volume grows and its profits grow.
EPD stock is treading water right now, but the high-growth stock is delivering an attractive 6.5% dividend to pay for your forbearance until the energy patch settles down.
Ecopetrol (NYSE:EC) is Colombia’s leading integrated oil company and one of the country’s few local companies that trades on the U.S. markets. It’s moreover among the star high-gowth stocks in the market right now.
With an $800-plus-million market cap, this is a significant player in the South American energy patch. And it’s a focused play on strong long-term comeback of the Colombian economy.
Colombia’s economy is growing around 2.7% this year, but its economy is in much better shape than most of its neighbors, like Venezuela and Brazil. Plus, it has a very kindly relationship to the U.S., where it can export much of its oil for refining and sale.
Domestically, the middle class is growing at a kindly clip and its internal divisions and drug cartel corruption are winding down significantly. EC stock is up 36% year to date and delivers a 3.3% dividend. It will live more volatile than similar sized-U.S. firms, but believe much larger growth potential.
Progressive (NYSE:PGR) is one of the top three U.S. auto insurers. And this remains a very kindly market for property & casualty (P&C) insurers. Because insurers hold a mighty deal of their premium payment in cash or cash equivalents like U.S. Treasury Bonds and Notes, rising interest rate can live a actual assist to their bottom line.
What’s more, PGR has stronger operating margins than its competition, so it can live more competitive when it comes to rates, which is certainly a growth advantage.
Part of its margin handicap comes from the fact that it has always looked to allow technology to assist construct better decisions about premium pricing for its customers. Its real-time driving app is a classic illustration of how it learns more about its drivers and can spend that to adjust pricing.
Up 15% year to date, PGR is a mighty long-term, high-growth stock that can sail through any market.
Louis Navellier is a renowned growth investor. He is the editor of four investing newsletters: Growth Investor, Breakthrough Stocks, Accelerated Profits and Platinum Growth. His most favorite service, Growth Investor, has a track record of beating the market 3:1 over the eventual 14 years. He uses a combination of quantitative and fundamental analysis to identify market-beating stocks. Mr. Navellier has made his proven formula accessible to investors via his free, online stock rating tool, PortfolioGrader.com. Louis Navellier may hold some of the aforementioned securities in one or more of his newsletters.