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000-455 exam Dumps Source : High Volume Storage Fundamentals V3
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Test Name : 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 turn 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 also 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 be stateless which is as an instance demanded in point 6 of the Twelve element App guidelines. Sending statistics over the community is without doubt one of the leading bottlenecks to keep away from in any information-centric workload from huge data jobs equivalent to Spark-based statistics science jobs to practising in deep learning and deep reinforcement studying up to neural community visualization. Storage options in Kubernetes have viewed loads of alterations over contemporary 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 we can listed here follow 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 block storage (ext4 by way of iSCSI) because the leading topic of this article after which briefly touch 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 use of PVCs. Volumes can both be provisioned statically via manually developing these objects or they may also be 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 handle the provisioning dynamically through storage drivers.
firstly, volume plugins had to be in-tree, i.e. they needed to be 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 be used in this blog post. Flex volumes enable exterior volume plugins, but nevertheless frequently require root node entry since they require dependencies to be put in on the staff.
The Cloud Object Storage driver we 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 be using CSI drivers as a way to run fully containerized and hence now not depend on advanced privileges. furthermore, it's an independent general that also applies to other cloud orchestrators (COs) like Docker and Mesos and it'll be used in the course of the equal Kubernetes primitives mentioned above (PVs, PVCs and storage courses), so most of this weblog publish collection may still be applicable even after the transition.
File storage is the least difficult to install, on account that it's supported via default — we do 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 get 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 patience storage (roughly meaning it determines IOPS by way of size and provides help 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 little bit greater concerned, but additionally very convenient to installation, when you consider that its helm charts are already offered in the IBM Cloud registry. consequently, we are able to just add the repository and run here instructions to obtain a brand new 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 all available helm charts, run helm search. we 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 also the relevant 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 reason be used with any S3-appropriate tooling. In here, we will setup a COS example, latest vital equipment and focus on a way to quite simply guide 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 use default parameters.
Afterwards, you deserve to create new credentials. Please make sure to set "HMAC":proper as inline configuration parameter. this can be sure that an entry key id and secret access key pair are created that we will use for a Watson computing device discovering happen in addition to managing our COS buckets with the AWS CLI.
Afterwards, you can swap to the Buckets tab and create a brand new bucket. Please make certain that this identify must be globally unique.
once a bucket exists, we are able to manually add info to it. The graphic depicts how to accomplish that by the use of the GUI.
for instance, we could add the MNIST dataset.
Cloud Object Storage Tooling
once you have a COS example, you could access it during the S3 a part 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, make 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 all 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 use 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 place <PROFILE_NAME> is default is used in case you do not specify a profile within the CLI command. other entries can also be 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 all the time specifying all parameters and the accurate bucket identify and performing all 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 be done by means of s3fs or goofys. To mount a bucket by the use 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 have got created the mount target by the use 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 use s3fs. Create a credentials file ~/.cos_creds with:
be certain neither your neighborhood nor others have 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 aware 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. be discovered here.
In essential test environments it can be sufficient 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 keep running so either put it in background or continue in new terminal] To examine you could then ssh into Minikube (minikube ssh) and checklist the data with ls /cosdata Then in turn that you could mount the listing from in the Minikube VM into a pod by the use 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 run ls /cosdata to list the folder similar to we 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 we can discuss in here how to use a Flex driver.
Cloud Object Storage: Driver Setup
Now that the Helm charts are available in IBM Cloud it suffices to make use 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 get pod -n kube-gadget | grep tiller# Wait & verify unless state is Runninghelm ibmc installation stage/ibmcloud-object-storage-plugin –fibmcloud-object-storage-plugin/ibm/values.yaml
that you can then list the brand new storage classes: kubectl get sc
Cloud Object Storage: guide Driver Setup
IBM has released an open supply COS plugin for Kubernetes. it's currently essentially the most intricate to setup of all courses, nevertheless it isn't unreasonable to expect that helm charts for COS are quickly introduced to the IBM repository after which the setup might be as effortless as block storage. nevertheless, it is a great 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 our registry and push the images we 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 push $DOCKER_REPO/$DOCKER_NAMESPACE/ibmcloud-object-storage-deployer:v001docker push $DOCKER_REPO/$DOCKER_NAMESPACE/ibmcloud-object-storage-plugin:v001
Now we deserve to installation the plugin and driver. As a primary step, we should adapt the YAML descriptors to consult with our docker registry and namespace. considering that we try this via sed and macOS doesn't use GNU sed through default, we use 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. We additionally need to create a docker-registry secret on the Kubernetes cluster so it might probably authenticate in opposition t the container registry and pull the photos. eventually, we 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\/$DOCKER_NAMESPACE\/ibmcloud-object-storage-plugin:v001\"/g" install-provisioner.yaml# Create secret, then set up daemonset and pluginkubectl create secret docker-registry regcred --docker-server=$DOCKER_REPO --docker-username=$DOCKER_REPO_USER --docker-password=$DOCKER_REPO_PASS --docker-e firstname.lastname@example.org -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 we need a secret to hang our COS credentials. hence, we create the key first:
kubectl follow -f - <<EOFapiVersion: v1kind: Secrettype: ibm/ibmc-s3fsmetadata:name: look at various-secretnamespace: defaultdata:entry-key: <AWS_ACCESS_KEY>secret-key: <AWS_SECRET_ACCESS_KEY>EOF
Please observe that the credentials should be Base64 encoded, so please encode them by the use of echo -n "<SECRET>" | base64
we are able to then create the PVC itself:
kubectl follow -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 have been created we are able to create a pod that mounts all 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 have been outlined in a blog publish through them. as an alternative of IBM Cloud we tried this in a native DIND Kubernetes cluster. in order to set it up execute here:
kubectl create namespace vcknskubectl config set-context $(kubectl config current-context) --namespace=vcknsgit clone https://github.com/IntelAI/vck.git && cd vckhelm init# Wait unless kubectl get pod -n kube-system | grep tiller suggests working state# alter helm-charts/kube-volume-contoller/values.yaml to use legitimate tag from https://hub.docker.com/r/volumecontroller/kube-extent-controller/tags/helm deploy helm-charts/kube-extent-controller/ -n vck --wait --set namespace=vcknskubectl get crdexport AWS_ACCESS_KEY_ID=<aws_access_key>export AWS_SECRET_ACCESS_KEY=<aws_secret_access_key>kubectl create secret conventional aws-creds --from-literal=awsAccessKeyID=$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 have been copied from output of# kubectl get 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 be volumes of unstructured records.
IBM followed via on its roadmap to broaden guide for conclusion-to-end NVMe from application servers to storage arrays with the launch of a new Storwize V7000 system. The Storwize V7000 is the primary IBM midtier system to add help for NVMe-oF, offering a Fibre Channel (FC) alternative.
other IBM storage products launched or upgraded include 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 method 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 guide throughout its portfolio. IDC analysis predicts that, with the aid of 2021, programs that use NVMe as opposed to SCSI as a groundwork expertise will generate as a minimum half of exterior simple storage earnings.
"we have had all this infrastructure modernization going on and the new workloads that need to be managed consist of loads of true-time huge data analytics that you simply just in reality can not run on SCSI," Burgener pointed out. "There are workloads that fully should have 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 use its Spectrum Virtualize software, including the brand new 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 support 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 new 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 cut the performance impact of those features. Herzog mentioned IBM makes use of additional processor chips in its new FlashCore Modules to permit the hardware-based mostly at-relaxation records encryption and compression.
a new 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 handle enclosure and as much as 32 PB in a four-method cluster. Flash power ability 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 new 2.5-inch FlashCore Modules with the aid of default, but consumers can choose industry average 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 think there may be that plenty of a performance difference linked to customized hardware anymore."
"if you want to run inline facts functions, like compression and encryption, you can do 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 new IBM storage products is a new 18 TB customized flash module that may double the maximum skill of its FlashSystem 900. a brand new 15.36 TB flash module boosts storage density in IBM's excessive-conclusion DS8880F arrays concentrated on the Unix, Linux and mainframe markets. a new DS8880 zHyperLink card improves latency.
IBM additionally delivered an entry-stage configuration of the FlashSystem A9000R equipment designed for cloud storage.
Spectrum find product aimed toward 'records oceans'
IBM's new Spectrum find product is designed to automate the cataloging of unstructured facts via average 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 have now obtained oceans of facts. how are you going to leverage that ocean of facts to get value out of it?" Herzog spoke of.
using custom metadata tags, Spectrum discover can assist to velocity the facts scanning technique, in particular with compliance functions that need to search via doubtlessly billions of info, Herzog spoke of. With analytics workloads, statistics scientists regularly must work with storage directors to put together the data, and Spectrum find may automate and streamline the procedure, he brought.
"The fastest array on this planet won't support in case you have no idea what your information is," wrote Steve McDowell, an analyst at Moor Insights & method, in an email. "IBM's Spectrum discover will resolve real-world problems in records management. I think we are going to see 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 equipment and IBM Spectrum Scale. IBM plans to add help 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 tool 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 guide 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 charge to hire a single gadget. The IBM Storage Utility offering additionally added help for an information insurance plan product, the TS7760 digital tape library.
Updates to IBM storage products are not restrained to flash. the brand new entry-degree TS1160 business tape force 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 support the new tape drive.
IBM Cloud Object Storage also adds new WORM ability for cost-effective mirrored and focused dispersal mode configurations. The product also supports more concurrent use 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 run the software add NVMe-based mostly flash 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 use AI expertise to automate statistics deduplication and ease ability administration subsequent yr.
additionally in 2019, IBM plans to extend its AI reference architectures with an Nvidia choice, building 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 new Storwize V7000, Spectrum offer 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 help 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 body 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 comfortable grip.
The Nokia 8.1 retails the solidity we have come to expect from the Nokia brand but adds a premium feel with its choice of materials.
With a large screen exceeding 6 inches, this is undoubtedly a larger than average phone. But it handles well and the weight is well distributed, a testament to the care Nokia has taken with its design.
The power button and volume rocker are located on the right, consistent with the rest of the Nokia models. And they feel very sturdy too.
The fingerprint locking sensor, located at the back, is filled with the same glass as the rest of the body but it is highlighted by a thin chromed circle that makes it easy to locate it when picking up the phone.
Nokia seems to have settled with the fingerprint on the back. It may take a few days to get used to it if your current phone has it at the front. But it’s well positioned and easy to find.
The body is well designed. Even without a case, the grip is good and the shiny chrome trim looks fantastic.
A reversible USB-C that supports fast 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 bright IPS LCD screen
Single speaker doesn’t deliver deep sound but it’s still reasonably loud
While the LCD screen doesn’t quite match the level of saturation seen on the AMOLED screens of some more expensive competitors, the high contrast and vibrant colours make this one of the best we’ve seen from Nokia.
Plenty of brightness available when needed.
PureDisplay, accessible from the display 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 found that the default Dynamic setting delivers the best experience in a variety of conditions and the Adaptive Brightness, that adjusts to the environment light levels is fast and effective.
Both the resolution and pixel density are comparable to the ones found 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 single speaker, located the bottom of the device, is perfect for YouTube videos. But if you want to really bring the house down, use a good quality Bluetooth speaker.
The Nokia 8.1 has a great quality screen with good 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 found at this price point with Optical Image Stabilisation
Does a great 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 our test showed some of the best results at this price point. And it’s by far the best camera we have seen on any HMD Global made Nokia phones.
The camera can be activated with a double-tap on the power button. The interface is responsive and easy to navigate.
Results have a good balance of detail and colour saturation, particularly in good light conditions.
Compared to competitors in a similar price point, the Nokia 8.1 performs well in low light.
Clouds are beautifully detailed and the sky has a deep blue.
*Another tricky shot. But the result is good. *
An evenly lit with realistic colours.
The sharp detail in the brickwork in this low-light shot is impressive.
This pleasant evening scene needed only a little tweak in exposure levels to bring up the dark corners.
In good lighting, the shallow depth of field effect 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 promise when tested in good light only to fail miserably with too much image noise 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 expect grainy or blurred results.
Nokia branded phones have 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 look artificial.
The selfie camera has a 20-megapixel sensor with pixel binning technology. Rather than be thrown away as the name suggests, four pixels are combined into one. The aim of this process is to discard the noise while keeping the detail.
The result is images that have lower resolution, i.e. they lose detail when enlarged, but are brighter than even your eyes can detect. Selfies are the perfect application for this technology as they are often shot in dim conditions and overall brightness is more important than detail.
The camera is also 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 affect battery life
Highest specced Nokia is more than capable to run games
Good amount of storage can also be upgraded
All the latest releases from Nokia have 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 run for its money, especially when you consider the Nokia’s lower price point.
We tried one of the heaviest games out there, Asphalt 9: Legends and found it could be played at the default quality setting with no noticeable lag.
Of course, a great deal of credit for its good 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 all the essential functionality in a lightweight package.
There are no superfluous apps pre-installed so, no fancy weather widget or proprietary news 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 get a refreshingly clean, easy 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 need to worry about deleting old 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 assistant is also 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 use of resources. Most importantly, Android One guarantees prompt security updates and OS upgrades as they become available.
We found the Nokia 8.1 an excellent device for gamers.
Memory is another area where the Nokia 8.1 didn’t skimp on. 4GB of RAM is more than adequate to run anything you throw at it. And the 64GB is just about right for a modern phone, luckily. And it can be expanded with an additional 400GB. Still, the pre-installed Google Photos should help saving storage space by keeping your photos and videos in the cloud.
Fingerprint unlocking is fast and we’ve found 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 do so like when it’s in your pocket or at home. It’s a great feature that works well and removes the inconvenience of unlocking the phone when you’re in a safe setting.
It also includes facial recognition technology. It’s called “Trusted Face” so you can unlock the device by looking at it.
Fast processor and sharp screen make 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, found in the “Battery” section of the system settings, is a remarkably effective way of making the most of your charge. It’s a clever tool that learns your usage patterns and limits the background battery drain for apps that you use less often.
The screen is by far the highest battery drain. But you can make your battery last longer if you leave the display brightness to Auto and avoid increasing it unless you need 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 good build quality and a clean 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 example of a mid-range phone we’ve tried.
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There’s no doubt the markets have been in tumult since August, if you actually look 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 do with the markets anticipating the implications of a U.S.-China trade war.
And while that story made the financial news, the broad market was all right, the economy was chugging along (even as interest rates rose), consumers were spending and there was hope that a political deal would be cut to tamp down a trade war.
But then the trade war and the tit-for-tat tariffs began, and this started to have implications across the entire market. Companies were starting to warn of weaker Q4s. Trade talks vanished and interest rates continued to rise.
Whether this is sector rotation or a correction or just a pause that refreshes, these 10 high-growth stocks with strong fundamentals here are great buys and still some of the highest-rated stocks my Portfolio Grader reports.
Fortinet (NASDAQ:FTNT) is in one sector that will never be 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. Think about the announcement from Marriott (NASDAQ:MAR) that it had more than half a billion accounts hacked over a period 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 building 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 have been targets of selling in the past few months.
And it’s true, most have suffered some selling. AMZN is down 15% in the past three months. It also no longer has the largest market cap.
What’s more, a lot of articles are being written about the end 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 place in consumers’ consciousness is steadfast. And AMZN stock, even after its selloff, is still 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 development (and the No 2 oil spill of all time).
But in this market, integrated oil companies are in a strong position. Their upstream can benefit from increasing energy demand and their downstream is staying busy 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 cut could see its fortunes reverse 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 still killing it, quarter after quarter. And the next new 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 also recently stated that it’s not going to make move 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 all about — customer relationship management.
Basically, CRM stock was a pioneer in building a cloud-based model for enterprise level 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 follow the client journey and step in when there’s an opportunity or an issue.
And CRM remains a significant player in this growing sector, as more companies see the advantages of scaling their businesses. Just last week, in the midst of all this market madness, CRM had its best day in 3.5 years. That a big 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. Grant 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 still 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 also has a good mix 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 rise has been steady — 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 all the way to its beginnings in 1827, CSX has merged and acquired other rail lines since the 1980s and now is a dominant force 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 be busy 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 complex today, a consumer driven economy can still rely on transport performance to give some indication of economic health.
CSX is up 25% year to date and is still 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 form 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 move oil and natural gas to and from fields, storage tanks, refineries, etc.
The midstream sector is more effected by demand than energy prices since it charges by volume through its pipes rather than by commodity prices. That means when demand 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 patience 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 also 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 good 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 good 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 be more volatile than similar sized-U.S. firms, but have much larger growth potential.
Progressive (NYSE:PGR) is one of the top three U.S. auto insurers. And this remains a very good market for property & casualty (P&C) insurers. Because insurers hold a great deal of their premium payment in cash or cash equivalents like U.S. Treasury Bonds and Notes, rising interest rate can be a real help to their bottom line.
What’s more, PGR has stronger operating margins than its competition, so it can be more competitive when it comes to rates, which is certainly a growth advantage.
Part of its margin advantage comes from the fact that it has always looked to allow technology to help make better decisions about premium pricing for its customers. Its real-time driving app is a classic example of how it learns more about its drivers and can use that to adjust pricing.
Up 15% year to date, PGR is a great 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 popular service, Growth Investor, has a track record of beating the market 3:1 over the last 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.
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