adesso Blog

Nowadays, many certifications are available to choose from, involving various topics from many organizations. All the significant hyper scalers, AWS, Azure, Google, etc., have multiple exams. One could categorize them by levels (Associate Architect, Professional Architect) or by specialties (Security, Data analytics, DevOps, etc.). Moreover, all the significant technologies have their own (Kubernetes, Hashicorp Vault, Terraform, etc.), or even you could be specialized in specific focus areas (FinOps, SAFe, etc.). When you are just starting and thinking about pursuing your first certificate, choosing the right one could be a challenge. This blog post will tell you about my experience and recommendations and give you a simple yet practical study guide.

Modern IT has been full of buzzwords and groundbreaking approaches in the past few years. Infrastructure as Code (IaC) is the latter. IaC is the practice of defining your infrastructure through code templates rather than using a GUI or manual effort. Using IaC has several benefits, such as better reusability, CI/CD integration, etc.; but most notably: it helps you achieve greater speed by treating infrastructure like 'cattle' – not' pets.' While IaC tools have made a long way since they first emerged, and a few purpose-built languages have also popped up, the need to approach such things from traditional programming languages has never disappeared. Pulumi and CDK from AWS are such tools, and, in this blog post, we will be exploring the latter.

Last year, we started migrating our single-repo, multi-module code-base (160+ backend interfaces) from the old OSGI Framework to a new multi-repo cloud-native architecture with the following characteristics:

Blogomban egy rövid összefoglalót szeretnék nyújtani az alapvető különbségekről az S/4 Cloud (S4C) és On-Premise világ között ezúttal a nyomtatványokra vonatkozóan. Bízom benne, hogy az alábbi pontok bemutatása révén írásom kapaszkodóként is tud szolgálni a témában érdekelt olvasóknak.

Az S/4 HANA alapú SAP rendszerek felhős virtualizációja elterjedőben van az egyre olcsóbb és szélesebb szolgáltatásokat nyújtó platformok miatt, mint például a Microsoft Azure, Google Cloud Platform vagy Amazon Web Services. Ebben a blogbejegyzésben röviden szeretnénk bemutatni egy átlagos SAP rendszerigényét, valamint az ehhez kapcsolódó virtualizációs költségeket.

Napjaink üzleti és informatikai életében az egyik legdivatosabb kifejezése a „cloud”, „cloud computing”. De mit is takar valójában a kissé futurisztikusnak ható felhő alapú számítástechnika? Blogbejegyzésünkben erre a kérdésre adunk választ!

Without a doubt, most companies with different pieces of information scattered around their organization would benefit from having a data lake. No wonder data lakes have been popping up at companies looking to improve their analytics further. In this blog post, we will explore what data lakes are, what’s the difference compared to data warehouses, and then take a detailed look at Lake formation. It is aimed at technical audiences who are new to Lake formation and want to understand its story conceptually.

Data driven operation and innovation is gaining space in every aspects of economy and private life of people. Big Data, Data Mining, Machine Learning or Artificial are terms, that are getting increasingly impossible to ignore in any businesses. Data-drivenness naturally involves technologies that build on a significant amount of data. The more powerful and/or more complicated statistical models we want to use, the more data we need to enable them to model reality in an acceptably precise, and the same time, sufficiently generalized manner.

In one of our projects, we helped a client optimise their customer experience processes by implementing machine learning models for classifying incoming customer service emails and a chatbot for 24/7 support. I explain how all the requirements were met and how machine learning was fine-tuned with the Airflow framework as part of this project in this blog post.