current course dates can be found at the bottom of this page … company training available on request!
Course Description
“FinOps Essentials” explains the benefits of a FinOps concept in an AWS environment and provides participants with practical examples in the field of cost optimization and monitoring. In this course, we teach the advantages of AWS billing models and optimizing the utilization of running systems. Through exercises, practical experience is quickly gained, and participants learn how to implement effective cost management in AWS.
Course Objectives
In this course, you will learn:
What FinOps mean
Pros of a FinOps concept for cost-management in AWS
Vorteile eines FinOps Konzeptes für das Kostenmanagement in AWS
Identify cost driver
Reducing cost through optimizing your billing models and system right-sizing
Options for cost reporting in AWS
Cost control through AWS Budgets
Course Duration / Price
1 Day / € 750.00 (excl. tax) per person (DE)
Prerequisites
We recommend that attendees of this course should have:
Basic understanding of general billing models in AWS.
Target Audience Description
Product Owner CCoE
Financial Cloud Operator
Cloud Engineers
Course Outline
Introductions and Overview
Introduction FinOps
Billing / Controlling (INFORM)
Know your AWS invoice
Identify cost driver
Cost Optimization (OPTIMIZE)
Methods to optimize; impact vs. complexity
Different billing models
Where to start?
FinOps in Operation (OPERATE)
Importance of automation
Link to Business
IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our training. If this is not possible, please contact us beforehand.
The course materials are in English, on request also in German (if available).
The course language is German, on request also in English.
current course dates can be found at the bottom of this page … company training available on request!
Course description
Are you planning to run your container workloads in a cloud-based Kubernetes environment in the future? Have you recently been tasked with operating an EKS cluster and would now like to acquire the necessary know-how? Are you an experienced DevOps engineer looking to make the transition to the AWS cloud? Then “Operations on Kubernetes” is the right choice!
This course focuses on the operation of Kubernetes clusters and the associated AWS infrastructure. Through a mixture of theory and practice, we will convey content in a lasting manner and offer you the opportunity to put what you have learned into practice immediately.
Course objectives
Brush up on basic Kubernetes concepts
Learn advanced concepts such as RBAC, Ingress Controller, etc.
Familiarize with basic Kubernetes commands
Recognize and analyze key metrics
Identify and rectify disruptions in a systematic manner
Confidently perform Kubernetes cluster upgrades on Amazon EKS
Gain familiarity with common Kubernetes tooling
INTENDED AUDIENCE
This course is intended for:
People who plan to run their Kubernetes workloads on the Elastic Kubernetes Service (EKS) in the future
DevOps Engineers
System/Operations administrators
Prerequisites
We recommend that attendees of this course have:
Basic understanding of general networking concepts and multi-tier architectures
Basic understanding of container runtimes (Docker, containerd, etc.)
Basic understanding of container orchestration (Kubernetes, Docker Swarm, etc.)
Knowledge in the administration of microservices (git, bash, YAML/JSON, common text editors)
(Optional) Basic knowledge of AWS services (VPC, EC2, S3) is an advantage
Quantum technology has had a strong media presence even before Europe’s first quantum computer went into operation in Ehningen on June 15, 2021. Being one of the most important technological fields of the future, a huge amount of money is currently being invested in this field. It is therefore worthwhile to look at what added value this technology can create in the future. From an IT perspective, but also from a business analytics perspective.
Aws Advanced Training Partner
Aws Premium Consuting Partner
Objective
In a four-hour course, we will focus on the practical part of quantum technology. We will teach just as much theory as necessary to quickly compute practical examples of quantum algorithms on our own. To do this, we will take advantage of the AWS Cloud to book the necessary hardware on a short-term and temporary basis. In the process, you will learn what is already possible with the technology today, what potential it has and how it can be used productively.
All you need for the course is a laptop with free internet access. Please study the links below in advance if you would like to familiarize yourself more intensively with the mathematical-physical theory of quantum computation.
QUANTUM SUPREMACY USING A PROGRAMMABLE SUPERCONDUCTING PROCESSOR
QUANTUM COMPUTING FOR THE VERY CURIOUS
WHAT MAKES QUANTUM COMPUTING SO HARD TO EXPLAIN?
Quantum-safe encryption
Are you already using quantum-safe encryption? How long do you estimate it would take to convert all your current TLS-based encryption and which consequences this would have? Did you know that the National Institute for Standards and Technology (NIST) has been publicly soliciting standardization for quantum-safe Pulic key exchange methods since 2016?
AWS is also participating in this and you can already try out so-called post-quantum encryption methods today. It is expected that the search for a stable standard will be completed in 2024. Start preparing for the future today.
Quantum Computing
13 September 2021
A quantum computer is a processor that uses the laws of quantum mechanics. The principles of superposition and entanglement ensure that, compared to computers with electrically stored information, certain problems can be calculated much more efficiently.
Amazon Braket is a fully managed quantum computing service. Self-developed quantum algorithms can be tested on quantum circuit simulators and executed on various quantum hardware technologies.
Amazon SageMaker is a fully managed service to work with machine learning in the cloud. Models can be developed, trained, refined, and deployed productively, including using built-in pipelines. No on-premises hardware is required.
Technically interested roles that want to see today what the future has in store
Course Outline
Introduction
What is QC actually?
Physical basics of quantum computing and introduction to the theory of quantum computing.
AWS Introduction
What are the capabilities of AWS for QC?
How can AWS be used for your own purposes?
What are the things to consider when thinking from PoCs to MVPs to production workloads?
Pre- and debriefing
Necessary theory to be able to perform the following lab variants
HandsOn – Exercise 1
Getting started with QC in AWS.
Getting to know a working environment
HandsOn – Exercise 2
Graph theoretic problem with DWave or simulation problem with Rigettit/IonQ
HandsOn – Exercise 3
Practical exercise for selection: Simulation problem with Rigettit/ gate creation with IonQ.
WrapUp, NextSteps, Discussion
What have we learned?
How could we generate added value in the future?
IMPORTANT:
For the course you only need a laptop with free internet access. Please study the above links in advance if you would like to familiarize yourself more intensively with the mathematical-physical theory of quantum computation
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