Local, instructorled live Cloud Computing training courses demonstrate through handson practice the fundamentals of cloud computing and how to benefit from cloud computing
Cloud Computing training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop
NobleProg Your Local Training Provider.
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Testimonials
Forelesning på skala fra databehandling.
Dolby Poland Sp. z o.o.
Kurs: Cloud Computing Overview
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kontakt med foreleseren, god materiell forberedelse, erfaring
Marcin Terlecki
Kurs: OpenStack Overview
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Praktisk kunnskap / erfaring fra læreren.
Cezary Żeszczyński
Kurs: OpenStack Overview
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Gabriel var veldig organisert og forberedt på denne treningen. Han svarte på alle spørsmålene og avklarte AWS-forestillinger og arkitektur. Flott jobb, Gabriel.
Mircea Turcu
Kurs: AWS Architect Certification
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Erfaringen med å teste en klynge i den virkelige verden var god, og det var interessant å høre om Renatos virkelige opplevelser av å drive OpenStack
UKRI - UK Shared Business Services Ltd
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Samhandling med treneren
UKRI - UK Shared Business Services Ltd
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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det var noe jeg ikke likte !!
DOOR International B.V.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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bred kunnskap og ferdigheter hos treneren
Andrzej - DOOR International B.V.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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opencast presentasjon fra datasenteret
Samsung Electronics Polska Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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eksempler
Samsung Electronics Polska Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Praktiske øvelser
Samsung Electronics Polska Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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veldig bred kunnskap om trener
Samsung Electronics Polska Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Mange gode eksempler på praksis som brukes i DataCenter
Samsung Electronics Polska Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Presentasjon av praktisk kunnskap fra ekte datasenter, beskrivelse av problemstillinger på en måte som gjør det veldig enkelt å forstå emnet - hva som ville være umulig å lese tørre presentasjoner
Samsung Electronics Polska Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Jeg hadde nytte av dekningen av relevante emner og diskusjon / fokus på nødvendige emner.
vasanth kumar - HGS - Hinduja Global Solutions
Kurs: AWS Architect Certification
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Trener prøver å svare på de ekstra forespørslene, selv om det innebærer å endre planene hans.
ORANGE
Kurs: Cloud computing essentials for managers / software engineers
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Jorge prøver sitt beste for å hjelpe oss med miljøoppsett og andre ting vi vil prøve.
JIMMY CHUN MING CHAN - THALES TRANSPORT & SECURITY (HONG-KONG) LIMITED
Kurs: Developing for Cloud Foundry
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Jeg likte virkelig den nye teknologien.
PCCW
Kurs: AWS Developer Associate
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eksempler, materialforberedelse, nivået på trenerens kunnskap, utmerket kommunikasjon
Michał Krasucki - Instytut Lotnictwa
Kurs: AWS Developer Associate
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Øv på deler
Instytut Lotnictwa
Kurs: AWS Developer Associate
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Evnen til å tilpasse seg behovene til treningsdeltakere.
Komenda Główna Policji
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Opplæringen er praktisk, og det er bra for å forstå hvordan du bruker AWS trinnvis
PCCW
Kurs: AWS Developer Associate
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Profesjonalitet av treneren og evnen til å strukturere kunnskap og kommunisere på en interessant måte
Pawel Janik - Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Stor kunnskap om foreleseren + en flott opplevelse :)
Mariusz Brodowski - Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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alt
Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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kunnskap og erfaring fra trener (sic!) materialer om hvordan du løper klassene - optimalt tempo, forståelig melding, en avslappet atmosfære kombinert med et innhold av veldig høy kvalitet, praktiske eksempler, øvelser under treningen (praktisk)
Miroslaw Matyla - Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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øvelser
Orange Szkolenia Sp. z o.o.
Kurs: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
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Trenerens kunnskap var imponerende.
Piotr Masłowski - ING Bank Śląski S.A.
Kurs: Hyperledger Fabric for Beginners
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Analyse av koden og manglene i Fabric.
ING Bank Śląski S.A.
Kurs: Hyperledger Fabric for Beginners
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Meget god kunnskap om faget
Florian Lavoillotte - Orange
Kurs: Terraform for Managing Cloud Infrastructure
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At treneren var i stand til å tilpasse seg spesifikke spørsmål / situasjoner
Inforit BV
Kurs: Kubernetes on Azure (AKS)
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Praktiske øvelser
王 朝晖 - 是德科技
Kurs: OpenStack Administration - Basic + Intermediate
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Ro og selvbeherskelse av foreleseren og enorm kunnskap, overført på en enkel og enkel måte, støttet av praktiske eksempler. En av de bedre treningene jeg har deltatt på.
Tomasz Czajka - Unit4 Polska sp. z o.o.
Kurs: Introduction to Azure
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Cloud Computing Kursplaner
Kursnavn
Varighet
Oversikt
Kursnavn
Varighet
Oversikt
14 timer
Oversikt
AWS Lambda er en computertjeneste som lar utviklere skrive og kjøre kode uten å måtte spinne opp containere og virtuelle maskiner, vedlikeholde lagring eller skaffe ressursene for å kjøre koden i skala.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot utviklere som ønsker å integrere AWS Lambda funksjoner med tjenester som API Gateway, Kinesis Streams, etc. Opplæringen demonstrerer også hvordan du bruker den nettleserbaserte AWS Cloud9 IDE til utvikle programvare sammen.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Samarbeide utvikle applikasjoner og tjenester ved hjelp av AWS Cloud9 IDE.
- Integrer AWS Lambda funksjoner med andre AWS-tjenester.
- Opprett og administrer APIer.
- Sett opp en AWS Lambda funksjon for å lese og behandle streaming-data i sanntid.
- Lag og administrer en kontinuerlig integrasjonspipeline for å bygge, teste og distribuere en AWS Lambda applikasjon.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot utviklere som ønsker å integrere AWS Lambda funksjoner med tjenester som API Gateway, Kinesis Streams, etc. Opplæringen demonstrerer også hvordan du bruker den nettleserbaserte AWS Cloud9 IDE til utvikle programvare sammen.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Samarbeide utvikle applikasjoner og tjenester ved hjelp av AWS Cloud9 IDE.
- Integrer AWS Lambda funksjoner med andre AWS-tjenester.
- Opprett og administrer APIer.
- Sett opp en AWS Lambda funksjon for å lese og behandle streaming-data i sanntid.
- Lag og administrer en kontinuerlig integrasjonspipeline for å bygge, teste og distribuere en AWS Lambda applikasjon.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
Azure Kubernetes Service (AKS) er en vert Kubernetes tjeneste som forenkler distribusjonen og styringen av en Kubernetes klynge i Azure .
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på AKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på AKS
- Distribuer, administrer og skaler en Kubernetes klynge
- Distribuer container-applikasjoner ( Docker ) på Azure
- Migrer et eksisterende Kubernetes miljø fra stedet til AKS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på AKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på AKS
- Distribuer, administrer og skaler en Kubernetes klynge
- Distribuer container-applikasjoner ( Docker ) på Azure
- Migrer et eksisterende Kubernetes miljø fra stedet til AKS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
OpenMP (Open Multi-Processing) er et API for programmering av delt minne. Med OpenMP er programmerere i stand til å utvikle parallelle applikasjoner for plattformer fra stasjonære maskiner til ikke-delte minnesystemer.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot programvareingeniører som ønsker å utvikle parallelle applikasjoner ved bruk av OpenMP.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå og bruk parallell programmering med Fortran i OpenMP.
- Beregn fraktaler parallelt for å gjengi flere piksler og tegn.
- Implementere vektorprogrammering med SIMD-utvidelser for HPC-systemer.
- Legg til parallelle blokker for å spesifisere parallellitet for delt minne.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
Denne instruktørledede, liveopplæringen (på stedet eller fjernkontrollen) er rettet mot programvareingeniører som ønsker å utvikle parallelle applikasjoner ved bruk av OpenMP.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå og bruk parallell programmering med Fortran i OpenMP.
- Beregn fraktaler parallelt for å gjengi flere piksler og tegn.
- Implementere vektorprogrammering med SIMD-utvidelser for HPC-systemer.
- Legg til parallelle blokker for å spesifisere parallellitet for delt minne.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
This instructor-led, live training (online or onsite) is aimed at developers who wish to use OpenFaas to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying server infrastructure.
By the end of this training, participants will be able to:
- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenFaas, please visit: https://www.openfaas.com/
By the end of this training, participants will be able to:
- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenFaas, please visit: https://www.openfaas.com/
21 timer
Oversikt
Kurset er dedikert til IT-ingeniører og arkitekter som leter etter en løsning for å være vertskap for private eller offentlige IaaS (Infrastructure as a Service) -skyer.
Kursmål:
- få grunnleggende kunnskaper om OpenStack design, installasjon og administrasjon,
- forberedelse til eksamen EX210 (Red Hat Certified System Administrator in Red Hat OpenStack ),
- automatisk og manuell OpenStack og -konfigurasjon.
Kursmål:
- få grunnleggende kunnskaper om OpenStack design, installasjon og administrasjon,
- forberedelse til eksamen EX210 (Red Hat Certified System Administrator in Red Hat OpenStack ),
- automatisk og manuell OpenStack og -konfigurasjon.
7 timer
Oversikt
Nextcloud er en open-source skybasert Nextcloud rettet mot bedrifter som ønsker å ha full kontroll over dataene sine. Dens åpen kildekode gir bedrifter frihet til å integrere tilpassede løsninger i Nextcloud basert på deres spesifikke behov.
I denne instruktørledede Nextcloud vil deltakerne lære grunnleggende om Nextcloud når de går gjennom å sette opp sin egen Nextcloud server.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Nextcloud
- Utfør Nextcloud administrasjons- og optimaliseringsoppgaver
- Integrer tredjepartsløsninger med Nextcloud å passe organisasjonens behov
Publikum
- Systemadministratorer
- Utviklere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede Nextcloud vil deltakerne lære grunnleggende om Nextcloud når de går gjennom å sette opp sin egen Nextcloud server.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Nextcloud
- Utfør Nextcloud administrasjons- og optimaliseringsoppgaver
- Integrer tredjepartsløsninger med Nextcloud å passe organisasjonens behov
Publikum
- Systemadministratorer
- Utviklere
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
21 timer
Oversikt
Multicloud (multi-cloud) Computing refererer til bruken av skytjenester fra flere leverandører, for eksempel å bruke infrastruktur (Iaas) tjenester fra forskjellige leverandører samtidig, gjennom en enkelt administrasjonskonsoll.
Morpheus er en Cloud Application Management Platform for å administrere applikasjoner på tvers av flere skyer, samt å orkestrere skyressurser selv.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp, konfigurere og administrere Morpheus.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Morpheus
- Tilby sky-ressurser på tvers av forskjellige infrastrukturer
- Orkestre og administrer skyer, inkludert logging, overvåking og sikkerhetskopiering
- Migrer søknader fra stedet til private eller offentlige skyer
- Integrer Morpheus med tredjepartsverktøy som Ansible , Chef , Consul og andre
Publikum
- administratorer
- Utviklere
- DevOps Engineers
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
Morpheus er en Cloud Application Management Platform for å administrere applikasjoner på tvers av flere skyer, samt å orkestrere skyressurser selv.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp, konfigurere og administrere Morpheus.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Morpheus
- Tilby sky-ressurser på tvers av forskjellige infrastrukturer
- Orkestre og administrer skyer, inkludert logging, overvåking og sikkerhetskopiering
- Migrer søknader fra stedet til private eller offentlige skyer
- Integrer Morpheus med tredjepartsverktøy som Ansible , Chef , Consul og andre
Publikum
- administratorer
- Utviklere
- DevOps Engineers
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
MLOps (Machine Learning Operations) is the practice of integrating data science and operations to help manage the ML lifecycle. MLOps provides the ability to automate the reproduction of machine learning model development and training.
This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
MinIO is a cloud based storage server for storing objects and unstructured data. With MinIO, users are able to build high performance infrastructures that are lightweight and scalable.
This instructor-led, live training (online or onsite) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO.
By the end of this training, participants will be able to:
- Provide an alternative to Unix Commands with the MinIO Client.
- Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
- Deploy MinIO on Kubernetes for orchestrated deployment to scale.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO.
By the end of this training, participants will be able to:
- Provide an alternative to Unix Commands with the MinIO Client.
- Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
- Deploy MinIO on Kubernetes for orchestrated deployment to scale.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
EKS er et selvstyrt Kubernetes -som-en-tjenestetilbud fra AWS. EKS er fullt skalerbar og tilpassbar og lar en implementering av Kubernetes etterligne og / eller integrere med et eksisterende Kubernetes oppsett på stedet.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på EKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på EKS
- Migrer et eksisterende Kubernetes miljø fra stedet til AWS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
- Forstå og ta i bruk verktøyene som er tilgjengelige for å administrere EKS effektivt
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
I denne instruktørledede, liveopplæringen, vil deltakerne lære å sette opp og administrere et produksjonsskala containermiljø ved hjelp av Kubernetes på EKS.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Konfigurer og administrer Kubernetes på EKS
- Migrer et eksisterende Kubernetes miljø fra stedet til AWS-skyen
- Integrer Kubernetes med tredjeparts kontinuerlig integrasjonsprogramvare (CI)
- Sikre høy tilgjengelighet og katastrofegjenoppretting i Kubernetes
- Forstå og ta i bruk verktøyene som er tilgjengelige for å administrere EKS effektivt
Publikum
- Utviklere
- Systemadministratorer
- DevOps Engineers
Kursets format
- Delforedrag, deldiskusjon, øvelser og tung praktisk praksis i et levende laboratoriemiljø.
Merk
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
14 timer
Oversikt
This instructor-led, live training (online or onsite) is aimed at developers who wish to use OpenWhisk to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying execution environment.
By the end of this training, participants will be able to:
- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- OpenWhisk supports a number of languages, including: Go, Java, JavaScript, PHP, Python, Ruby, Swift, etc. To request a specific language for the course, please contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenWhisk, please visit: http://openwhisk.incubator.apache.org/
By the end of this training, participants will be able to:
- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- OpenWhisk supports a number of languages, including: Go, Java, JavaScript, PHP, Python, Ruby, Swift, etc. To request a specific language for the course, please contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenWhisk, please visit: http://openwhisk.incubator.apache.org/
14 timer
Oversikt
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Kubeless, please visit: https://kubeless.io/
By the end of this training, participants will be able to:
- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Kubeless, please visit: https://kubeless.io/
28 timer
Oversikt
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
28 timer
Oversikt
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is a machine learning library and Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Knative to deploy serverless, event-driven functions, applications, and containers in a simplified and consistent manner.
By the end of this training, participants will be able to:
- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Knative, please visit: https://cloud.google.com/knative/
By the end of this training, participants will be able to:
- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Knative, please visit: https://cloud.google.com/knative/
8 timer
Oversikt
Summary:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
14 timer
Oversikt
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects.
In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.
By the end of this training, participants will be able to:
- Understand the fundamentals of IoT architecture
- Install and configure Azure IoT Suite
- Learn the benefits of using Azure in programming IoT systems
- Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
- Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.
By the end of this training, participants will be able to:
- Understand the fundamentals of IoT architecture
- Install and configure Azure IoT Suite
- Learn the benefits of using Azure in programming IoT systems
- Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
- Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
7 timer
Oversikt
Azure er et omfattende sett med skytjenester som gjør det mulig for utviklere, IT-fagfolk og organisasjoner å bygge, distribuere og drifte applikasjoner og infrastrukturtjenester.
I denne instruktørledede, liveopplæringen, vil deltakerne lære de grunnleggende konseptene, komponentene og tjenestene til Microsoft Azure når de går gjennom opprettelsen av et eksempel på skysøknad.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå det grunnleggende i Microsoft Azure
- Forstå de forskjellige Azure verktøyene og tjenestene
- Lær hvordan du bruker Azure til å bygge skyapplikasjoner
Publikum
- Utviklere
- IT-fagfolk
- ingeniører
- Business
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
I denne instruktørledede, liveopplæringen, vil deltakerne lære de grunnleggende konseptene, komponentene og tjenestene til Microsoft Azure når de går gjennom opprettelsen av et eksempel på skysøknad.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Forstå det grunnleggende i Microsoft Azure
- Forstå de forskjellige Azure verktøyene og tjenestene
- Lær hvordan du bruker Azure til å bygge skyapplikasjoner
Publikum
- Utviklere
- IT-fagfolk
- ingeniører
- Business
Kursets format
- Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse
7 timer
Oversikt
This course has been designed for developers and project managers who would like to experiment with Blockchain in their products and projects. The course gives a basic know how on how to set up your own blockchain network using IBM Bluemix.
Please note: Owing to limited learning options and everything already being pre-setup on Bluemix, it is used only for college students and in corporate cases we will be using AWS instance or virtual machines to setup the complete hyperledger fabric setup from scratch so as to accelerate the practical and handson knowledge absorption of the particpants.
Please note: Owing to limited learning options and everything already being pre-setup on Bluemix, it is used only for college students and in corporate cases we will be using AWS instance or virtual machines to setup the complete hyperledger fabric setup from scratch so as to accelerate the practical and handson knowledge absorption of the particpants.
14 timer
Oversikt
OpenStack is an open source IaaS (Infrastructure as a Service) software stack. It is popular among Telecom providers who wish to optimize their network stack through Network Functions Virtualization (NFV).
This instructor-led, live training (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.
By the end of this training, participants will be able to:
- Plan, deploy, and administer OpenStack as a private cloud.
- Understand IaaS architecture and its implementation under OpenStack.
- Replace physical routers and servers with virtual machines running in a private cloud.
- Reduce infrastructure and maintenance costs through virtualization and cloud computing.
- Expedite the rollout of new services to customers.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.
By the end of this training, participants will be able to:
- Plan, deploy, and administer OpenStack as a private cloud.
- Understand IaaS architecture and its implementation under OpenStack.
- Replace physical routers and servers with virtual machines running in a private cloud.
- Reduce infrastructure and maintenance costs through virtualization and cloud computing.
- Expedite the rollout of new services to customers.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
Kurset hjelper deg med å forstå og implementere skyinfrastruktur basert på OpenStack . Deltakeren lærer arkitekturen og funksjonene til OpenStack og en rekke installasjonsscenarier.
14 timer
Oversikt
Google Kubernetes Engine (GKE) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Google Cloud.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on Google Cloud.
- Deploy, manage and scale a Kubernetes cluster.
- Deploy containerized (Docker) applications on Google Cloud.
- Migrate an existing Kubernetes environment from on-premise to Google Cloud.
- Integrate Kubernetes with third-party continuous integration (CI) software.
- Ensure high availability and disaster recovery in Kubernetes.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on Google Cloud.
- Deploy, manage and scale a Kubernetes cluster.
- Deploy containerized (Docker) applications on Google Cloud.
- Migrate an existing Kubernetes environment from on-premise to Google Cloud.
- Integrate Kubernetes with third-party continuous integration (CI) software.
- Ensure high availability and disaster recovery in Kubernetes.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.
21 timer
Oversikt
Pulumi is an infrastructure as code tool for creating, deploying, and managing cloud applications and infrastructure.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
21 timer
Oversikt
Google Cloud Platform (GCP) provides infrastructure for building applications in the cloud. Terraform is a tool for managing that infrastructure. The combination of GCP and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform on GCP to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on GCP.
- Implement an "infrastructure as code" approach to managing private and public cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource requirements.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform on GCP to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on GCP.
- Implement an "infrastructure as code" approach to managing private and public cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource requirements.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
21 timer
Oversikt
Amazon Web Services (AWS) provides infrastructure for building applications in the cloud. Terraform is a tool for managing that infrastructure. The combination of AWS and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
21 timer
Oversikt
Terraform er et konfigurasjonsorkestreringsverktøy for å bygge og administrere infrastruktur på og utenfor nettskyen.
Denne instruktørledede, liveopplæringen (stedet eller fjernkontrollen) er rettet mot ingeniører som har liten eller ingen tidligere erfaring med å administrere infrastruktur. Terraform vil bli brukt til å automatisere oppsett og distribusjon av infrastruktur.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Forstå prinsippene for infrastruktur som kode.
- Konfigurer og automatiser infrastruktur ved hjelp av Terraform .
- Skriv og del konfigurasjonsfil med teammedlemmer.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- Hvis du vil lære mer om Terraform , kan du gå til: https://github.com/hashicorp/terraform
Denne instruktørledede, liveopplæringen (stedet eller fjernkontrollen) er rettet mot ingeniører som har liten eller ingen tidligere erfaring med å administrere infrastruktur. Terraform vil bli brukt til å automatisere oppsett og distribusjon av infrastruktur.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Forstå prinsippene for infrastruktur som kode.
- Konfigurer og automatiser infrastruktur ved hjelp av Terraform .
- Skriv og del konfigurasjonsfil med teammedlemmer.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- Hvis du vil lære mer om Terraform , kan du gå til: https://github.com/hashicorp/terraform
14 timer
Oversikt
Denne instruktørledede, liveopplæringen (stedet eller fjernkontrollen) er rettet mot ingeniører som ønsker å bruke Terraform til å planlegge og bygge skyinfrastruktur.
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Implementere en "infrastruktur som kode" -tilnærming for å styre private og offentlige skymiljøer.
- Skriv deklarative konfigurasjonsfiler for mer effektiv endringsledelse og samarbeid.
- Forbedre åpenhet i anskaffelsesprosessen for infrastruktur.
- Lag, lanser og fjern ressurser på tvers av forskjellige infrastrukturleverandører (AWS, GCP, Azure , OpenStack , VMware, etc.) fra et enkelt verktøy.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- For å lære mer om Terraform , vennligst besøk: https://www.terraform.io/
Ved slutten av denne opplæringen vil deltakerne kunne:
- Installer og konfigurer Terraform .
- Implementere en "infrastruktur som kode" -tilnærming for å styre private og offentlige skymiljøer.
- Skriv deklarative konfigurasjonsfiler for mer effektiv endringsledelse og samarbeid.
- Forbedre åpenhet i anskaffelsesprosessen for infrastruktur.
- Lag, lanser og fjern ressurser på tvers av forskjellige infrastrukturleverandører (AWS, GCP, Azure , OpenStack , VMware, etc.) fra et enkelt verktøy.
Kursets format
- Interaktiv forelesning og diskusjon.
- Masse øvelser og trening.
- Praktisk implementering i et live-lab-miljø.
Alternativer for tilpasning av kurset
- For å be om en tilpasset opplæring for dette kurset, vennligst kontakt oss for å avtale.
- For å lære mer om Terraform , vennligst besøk: https://www.terraform.io/
21 timer
Oversikt
Serverless is a DevOps architecture that allows the creation and deployment of highly-scalable enterprise applications without the provisioning of any server. Kubernetes is an open-source platform for building container-based and cloud-native projects. A serverless framework can be integrated with Kubernetes to provide the automated hosting infrastructure necessary to run CaaS and FaaS implementations.
This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes.
By the end of this training, participants will be able to:
- Setup and configure the Kubernetes system to start developing with a serverless architecture.
- Understand the concepts and principles foundational to serverless environments.
- Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
- Practice their skill in Python programming language and apply it to implement serverless systems.
- Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
- Utilize modern cloud computing methods in optimizing DevOps task processing workflows.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes.
By the end of this training, participants will be able to:
- Setup and configure the Kubernetes system to start developing with a serverless architecture.
- Understand the concepts and principles foundational to serverless environments.
- Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
- Practice their skill in Python programming language and apply it to implement serverless systems.
- Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
- Utilize modern cloud computing methods in optimizing DevOps task processing workflows.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 timer
Oversikt
The Serverless Framework is a web framework for building applications on serverless computing platforms such as AWS Lambda, Azure Functions, IBM Cloud Functions, Google Cloud Functions, etc.
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications.
By the end of this training, participants will be able to:
- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications.
By the end of this training, participants will be able to:
- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
21 timer
Oversikt
Red Hat Ceph Storage is a storage platform for storing petabyte-size data.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to understand and deploy a Red Hat Ceph Storage cluster.
By the end of this training, participants will be able to:
- Install and configure Red Hat Ceph Storage.
- Deploy and manage a Red Hat Ceph Storage cluster.
- Tune Red Hat Ceph Storage for performance.
- Integrate Red Hat Ceph Storage with OpenStack.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Red Hat Open Ceph, please visit: https://www.redhat.com/en/technologies/storage/ceph
This instructor-led, live training (online or onsite) is aimed at engineers who wish to understand and deploy a Red Hat Ceph Storage cluster.
By the end of this training, participants will be able to:
- Install and configure Red Hat Ceph Storage.
- Deploy and manage a Red Hat Ceph Storage cluster.
- Tune Red Hat Ceph Storage for performance.
- Integrate Red Hat Ceph Storage with OpenStack.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Red Hat Open Ceph, please visit: https://www.redhat.com/en/technologies/storage/ceph
Rådgivning
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