Ceph Storage Fundamentals Training Course

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

Alibaba Cloud adalah platform komputasi awan yang menawarkan rangkaian lengkap layanan awan untuk jaringan, basis data, keamanan, analitik, data besar, layanan aplikasi, dan banyak lagi.

Pelatihan langsung yang dipandu instruktur ini (online atau di tempat) ditujukan untuk para profesional TI yang ingin mempelajari dasar-dasar Alibaba Cloud dan cara menggunakan layanan komputasi awannya.

Pada akhir pelatihan ini, peserta akan dapat:

Pahami arsitektur solusi Alibaba Cloud. Pelajari tentang produk dan layanan inti Alibaba Cloud. Pahami kemampuan Alibaba Cloud dalam menangani big data dan database.

Format Kursus

Kuliah dan diskusi interaktif. Banyak latihan dan latihan. Implementasi langsung di lingkungan lab langsung.

Opsi Penyesuaian Kursus

Untuk meminta pelatihan khusus untuk kursus ini, silakan hubungi kami untuk mengaturnya.

Google Anthos is a set of managed services that add value to the Kubernetes container platform. Anthos can be run on a hybrid and multicloud environment.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure.

By the end of this training, participants will be able to:

• Set up Google Anthos on-premise or in the cloud.
• Define, automate, and enforce policies across different environments.
• Manage traffic between services.
• Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
• Implement security controls across all deployments.

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.

Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

By the end of this training, participants will be able to:

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Audience

Software Engineer/Computer Scientists with adequate concepts of algorithms and
familiarity with at least one programming/scripting language but without any experience of Cloud
Computing

Duration

3 days (7 hours / day)

Day 1 - provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business. The module is divided into a series of sections, each of which is accompanied by a hands-on exercise.

Day 2 - explores technology-related topics that relate to cloud computing platforms. It does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and data processing.

Day 3 - provides a technical insight into foundational cloud computing platforms. Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) environments are explored as compound patterns, comprised of unique and shared building blocks. This module is structured as a guided tour through these architectural layers, describing primary components, highlighting shared components and explaining how building blocks can be assembled and implemented via cloud computing mechanisms and practices

Day 4 - builds upon Day 3 to provide a deep dive into elastic, resilient and multitenant technology architectures, as well as specialized solution architectures, such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies and design patterns, both core and extended components are described that combine to realize elasticity, resiliency and multitenancy as primary characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related feature-sets, specialized solution architectures are described to enable bursting between clouds and on-premise and cloud environments, as well as the balancing of runtime loads across clouds for performance and failover purposes.

Day 5 - presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered previously.

This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.

Audience

IT architects, mid-level IT managers, IT consultants

Format of the course

Currently 100% lectures.

Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

By the end of this training, participants will be able to:

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

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 course is created for people who face choices which solution to choose for a specific problem. IT Managers, Solution Architects, Test Managers, System Administrators and Developers can benefit from this course by understanding the benefits and costs of available Cloud/SaaS/Iaas solutions.

HashiCorp is an open-source software company that provides tools for provisioning, securing and running infrastructure for distributed applications. Their DevOps suite includes:

• Vault - for securing distributed applications
• Terraform - for provisioning infrastructure and application resources across public cloud, private cloud, and external services
• Nomad - a distributed, highly available, datacenter-aware cluster manager and scheduler for deploying applications on any infrastructure, at any scale.
• Consul - for discovering and configuring services in your infrastructure.

This course focuses on Consul. We go over the Consul's architecture and features and carry out a live implementation and deployment of a Consul server.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice and implementation, occasional quizzing to measure progress

Jika Anda baru mengenal Citrix atau berencana pindah ke Citrix Cloud, kursus ini merupakan langkah penting yang memungkinkan Anda dengan pelatihan dan keterampilan yang tepat untuk mengelola dan menerapkan Citrix Workspace dengan sukses. Kursus administrasi dasar ini mencakup aspek penginstalan, konfigurasi, dan pengelolaan lingkungan Aplikasi Virtual Citrix dan Desktop 7, cara mengelola solusi Citrix di lokasi, dan bermigrasi dari solusi di lokasi ke cloud menggunakan bidang manajemen Citrix Cloud.

Kursus lima hari ini akan mengajari Anda cara menerapkan, menginstal, mengonfigurasi, mengatur manajemen profil, mengonfigurasi kebijakan, pencetakan, dan fitur keamanan dasar untuk Aplikasi Virtual dan pembuatan solusi Desktop di tempat, lalu bermigrasi ke Citrix Cloud.

Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ini ditujukan untuk teknisi data tingkat menengah, arsitek cloud, dan profesional intelijen bisnis yang ingin menguasai manajemen data di lingkungan cloud khusus industri.

Pada akhir pelatihan ini, peserta akan mampu:

• Memahami prinsip dan komponen struktur data.
• Merancang dan mengimplementasikan solusi integrasi dan orkestrasi data.
• Pastikan kualitas dan tata kelola data dalam platform cloud industri.
• Memanfaatkan struktur data untuk mendukung analisis data dan pengambilan keputusan khusus industri.
• Ikuti perkembangan tren dan teknologi terkini dalam pengelolaan data cloud.

Cloud Financial Management or FinOps is the practice of implementing cloud technology to optimize the financial management and operations of a business.

This instructor-led, live training (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud.

By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in 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.

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.