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Mariano Calandra

Microservices | Serverless | AWS Authorized Instructor

Mariano Calandra

Solution architect @ Var Group

Matteo De Ponti

Domain SRE Chapter Lead @ Prima Assicurazioni

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Bologna, 

Passate edizioni della conferenza:

20192020202120222023

Tutti i video delle passate edizioni sono disponibili su Vimeo e YouTube.

Come portare in produzione un sistema di ML che ora gira solo nel locale del nostro data scientist?

È sempre un argomento delicato prendere il lavoro di un collega e proporre un refactoring perché possa essere automatizzato. Ma una volta trovato il sistema di gestione che si adatta meglio alle vostre esigenze, sarà un gioco da ragazzi! AWS mette a disposizione alcune soluzioni fully managed per un ciclo MLOps, altre possono essere una combinazione di servizi. Tutto dipende dal ciclo di vita del modello, dalle figure coinvolte e dall’effort che si ha a disposizione. Dopo una breve introduzione delle figure coinvolte e delle soluzioni principali che potremmo adottare con i servizi AWS, le metteremo a confronto in termini di effort, knowledge, tempi d'implementazione e costi.

Alessandra Bilardi

Alessandra Bilardi

Data & Automation Specialist | AWS certified | PyData & Coderdojo mentor

I'm a Cloud Engineer with focus on data. In the past, I worked in an e-commerce as developer but now I came back to my (academic) origins: data and ML solutions, from IoT, data design, data analysis and prediction, to data visualizations. I love playing and sharing: I’m AWS & PyData evangelist and Coderdojo mentor.

3 Pitfalls Everyone Should Avoid with Cloud Data

The daily hype is all around you. From cloud native, multicloud, to hybrid cloud, this is the path to your digital future. The choices you make as a developer does not preclude the daily work of enhancing your customer's experience and agile delivery of your applications. With all this delivery and infrastructure, there is a lot of data generated when engaging with any cloud experience. Regulatory and compliance pressures force us to store audit and observability data. Understanding the pitfalls around the collection, storage, and maintenance of your cloud data can mean the difference between bankruptcy and success with our cloud native strategy. Let us take you on a journey, looking closely at the decisions you are making as a DevOps team delivering and dealing with monitoring applications. Join us for an hour of power, where real customer experiences are used to highlight the three top lessons learned as their DevOps teams transitioned their data needs into cloud native environments. Key Takeaways: Attendees to this session will gain insights into the data explosion that is part of the large scale cloud native world. Real customer experiences are used to highlight the three top lessons learned as their DevOps teams transitioned their data needs into cloud native environments.

Eric D. Schabell

Eric D. Schabell

Director Evangelism @ Chronoshpere

Eric is Chronosphere's Director Evangelism. He's renowned in the development community as a speaker, lecturer, author and baseball expert. His current role allows him to help the world understand the challenges they are facing with cloud native observability. He brings a unique perspective to the stage with a professional life dedicated to sharing his deep expertise of open source technologies, organizations, and is a CNCF Ambassador. Follow on https://www.schabell.org.

DevOps Real-Time Anomaly Detection with Machine Learning

Logs and traces generated by applications are valuable sources of information that can help detect issues and improve performance. However, they are often treated separately from other data, even though they are no different from the data an application works with. In this talk, we will explore a different approach: treating logs and traces as part of a scalable cloud storage repository that can be analyzed with the same techniques used for big data. By keeping all the data together, we can apply machine learning models to detect situations of interest and alert us in real-time when unwanted behavior is occurring or brewing. This approach enables intelligent monitoring that goes beyond simple threshold-based alerts and can help identify complex issues that would otherwise go unnoticed. We will discuss how to harness existing technologies to implement this approach, providing attendees with practical tips and insights that they can apply to their own projects.

Fawaz Ghali

Fawaz Ghali

Principal Data Science Architect and Head of Developer Relations @ Hazelcast

Fawaz Ghali is Principal Data Science Architect and the Head of Developer Relations at Hazelcast with +22 years of experience in DevRel, cloud, enterprise software development and deployment, ML/AI and real-time intelligent applications, management and leadership. He holds a PhD in Computer Science and has worked in the private sector as well as in academia and research. He has published +45 scientific peer-reviewed papers in the fields of ML/AI, data science and cloud computing on Google Scholar. Fawaz is a renowned expert with +200 talks and presentations at global events and conferences.

Vindicating ZFS with PostgreSQL: Unleashing the Power of Scalability

In the ever-evolving landscape of database systems, PostgreSQL stands as a robust and highly capable RDBMS. However, achieving optimal performance at scale requires careful consideration of the underlying file system. This presentation will talk about ZOL (ZFS on Linux), a powerful and advanced file system originally developed by Sun Microsystems. ZFS point of strength are robust data storage management, data integrity, data compression, snapshotting, and efficient storage allocation. However ZFS performances are terrible if compared with the native file systems like XFS or EXT4. This presentation will help the attendees to have a better understanding for harnessing the power of ZFS and run PostgreSQL at scale levels not so different from XFS or EXT4.

Federico Campoli

Federico Campoli

Freelance PostgreSQL consultant

Federico is a freelance consultant with long experience on PostgreSQL. He started his career as Oracle DBA in 2004 and fell in love with PostgreSQL in 2007. Previously he worked as database engineer for Transferwise. After several years spent in the UK he is now back in Italy. He’s an amateur jazz guitarist.

Platform Engineering Is Not About Tech

What are we using for pipelines? Which infrastructure do we support? Is service mesh enabled?'. These types of questions - revolving on tech choices and implementation - currently occupy most of the conversations around platform engineering. According to most evidence, though, these are not the only things that make a cloud-native platform successful: cultural change, communication and collaboration, reorganized processes, shared vision and roadmap - among others - play a key role in determining the success of platform transformation. If we don’t address change comprehensively, the risk is that in a few years we’ll discover that platforms are not bringing the results we expected. In this talk we’ll see some key aspects that are often overlooked in implementing a platform and how it’s possible to address them along the way. We’ll also share some of the pitfalls and lessons we learned in our experience, supporting large and small organizations in building their cloud-native platforms.

Francesca Carta

Francesca Carta

Delivery Manager @ Mia-Platform

Francesca Carta is Delivery Manager at Mia-Platform and is responsible for simplifying product use and adoption. With a background in philosophy, she brings a unique perspective to technology. For the past six years she has been responsible for managing the development of an Internal Developer Platform for developers in Cloud Native. Francesca is dedicated to making technology accessible to everyone. Through critical thinking and a drive for innovation, she aims to make a positive impact.

GitLab and Kubernetes: A Deep Dive into the Agent, the Cluster Access and the Security Features

Embark on a journey through the core facets of GitLab and Kubernetes integration. Dive deep into the pivotal role of GitLab's Agent, uncovering its seamless orchestration between GitLab and Kubernetes. Explore the intricacies of Cluster Access, understanding how GitLab ensures secure and controlled connections to your Kubernetes clusters. Security takes center stage as we unveil the robust features ingrained in the integration. From access controls to vulnerability scanning, discover how GitLab and Kubernetes collaboratively fortify your DevOps workflows, ensuring airtight security throughout the development lifecycle. Perfect for both DevOps veterans and beginners, this talk promises practical insights, empowering you to optimize development and deployment processes while upholding the highest standards of security. Elevate your understanding of GitLab and Kubernetes synergy for enhanced efficiency and reliability in your projects.

Giuseppe Arancio

Giuseppe Arancio

Senior Platform Engineer @ Sparkfabrik

Passionate about computer science from an early age, I still remember the 'love at first sight' feeling with the Internet as soon as I saw the Yahoo homepage. After graduating in telecommunications engineering, I begin my professional adventure working on a research project on home automation, based on Arduino programming, powerline technology and different protocols. I've been a Test Engineer till 2017 when I fell in love again with kubernetes and the cncf!

Site Reliability Engineering to build high performance software and teams

Site Reliability Engineering (SRE) is a discipline founded at Google that is now widely practiced across the Tech industry. SRE represents a set of principles and practices that applies aspects of software engineering to IT infrastructure and operations. In this talk, we will discuss the key principles and practices of SRE, and how they can be used to build high performance software and teams. We’ll explore insights from the State of DevOps Report and how SRE can help foster the type of generative organizational culture that is a hallmark of high performing organizations.

Jennifer Petoff

Jennifer Petoff

Director, Google Cloud Platform and Technical Infrastructure Education

Jennifer Petoff (she/her) is director of Google Cloud Platform (GCP) & Technical Infrastructure (TI) Education and is based in Lisbon, Portugal. She leads training programs for Google's GCP and TI Engineering teams. Jennifer is one of the co-editors of the best-selling book, Site Reliability Engineering: How Google Runs Production Systems; lead author of Training Site Reliability Engineers: What Your Organization Needs to Create a Learning Program; and is a regular speaker at DevOps and Site Reliability Engineering conferences around the world. Jennifer joined Google 16 years ago after spending eight years in the chemical industry. She holds a PhD in Chemistry from Stanford University and a BS in Chemistry and a BA in Psychology from the University of Rochester in the United States.

Case study: How we brought order to our Matomo Saas with DevOps

The Digitalist Cloud motto is 'For the public good', with this general scope in mind we have set up a SaaS service offering GDPR safe web analysis tools based on the Opensource project Matomo. Many of our clients are from the Swedish public administration, but awareness and interest in ethical web analysis is constantly increasing in all business sectors. In this presentation I want to show how applying Rancher to our different Matomo clusters have proved fruitful for our organisation, in terms of getting an immediate and clear overview of crucial operational info on the infrastructure and application status, as well as how applying Neuvector has facilitated the monitoring and management of security risks in the system. We'll dive into our pipeline architecture and show how our continuous updates are deployed seemlessly with ArgoCD. Finally I'll demo our recently released and much requested add-on tool, RebelMetrics, an analysis dashboard for advanced visualization and exploration of the data and smoother reporting for the clients.

Jenny Nilsson

Jenny Nilsson

DevOps Engineer @ Digitalist Cloud

Jenny is a PhD in Atmospheric Sciences and started off working as a scientific programmer and researcher, and later as an advanced technologist in industrial research and development projects. The last couple of years she's been working as a DevOps Engineer for Digitalist Cloud, focusing mostly on migrating on-prem applications to cloud-based cluster environments.

Beyond the unit: a holistic approach for testing serverless architectures

One of the peculiar aspects of microservices architecture is the possibility of designing a system as a set of independent but collaborative components. At the root of this collaboration there are well-defined contracts among all the microservices: breaking even a single contract might compromise the health of the entire system. With AWS Lambda, we have the ability to simply create an ever-increasing number of microservices and, therefore, it becomes crucial to find a way to catch errors in advance whenever one of these contracts has been broken.

Mariano Calandra

Mariano Calandra

Solution architect @ Var Group

With a strong developer’s background, Mariano daily helps companies that wish to modernize their applications embracing microservices and cloud native architectures. He’s an AWS Authorized Instructor and a co-organizer of ServerlessDays Rome. In his spare time he enjoys good music, reading, food and staying in front of the sea.

Road to Domain Driven: vita spericolata di un Cloud Engineer

La trasformazione di un'azienda da country-based a global è un processo complesso e pieno di ostacoli. La ristrutturazione di processi, infrastrutture e ways-of-working ha impatti significativi sia dal punto di vista tecnico, sia da quello umano. In questo talk vedremo come Prima Assicurazioni sta affrontando questo tipo di cambiamento utilizzando un approccio Domain Driven, con un focus dettagliato su come questo ha impatto sui team di Cloud Engineering. Scopriremo cosa è stato necessario affrontare per supportare questa trasformazione sia da un punto di vista tecnico (a livello di AWS Organization, di cluster Kubernetes, di IAM), sia da un punto di vista organizzativo, analizzando come i teams di Cloud Engineering si sono riorganizzati per sostenere questo sforzo con un numero limitato di risorse.

Matteo De Ponti

Matteo De Ponti

Domain SRE Chapter Lead @ Prima Assicurazioni

Cloud Engineer con un passato da Software Developer ed un presente da Chapter Lead in Prima Assicurazioni. Attualmente focalizzato sulla divulgazione della metodologia DevOps in azienda e sul coordinamento del proprio team di SREs. Nonostante questo, ancora fortemente attivo nel battere i tasti della tastiera per scrivere un po' di Infrastructure-as-Code o qualche Helm Chart.

Compliance As Code: shift-left and shift-right approach in a Cloud world

Maintaining compliance in a Cloud world requires a new approach that maximizes the balance between agility and safety. Just like we use infrastructure-as-code in infrastructure automation and approach of CI/CD in application lifecycle management, at the same time our DevSecOps teams should adopt compliance-as-code, especially in a cloud world. We can introduce compliance-as-code on the left side of the DevOps lifecycle and/or on the right side. Working on the left side we can detect issues very early in the process, but our tests are limited in scope, more related to a specific workload. On the right side, we can detect and remediate issues that would be difficult to anticipate during the building phase, we can assess the resources against requirements defined at a more high level, but the improvement requires more effort. On the left side, we can leverage general-purpose tools such as OPA - Open Policy Agent - an open-source engine incubated in the CNCF. On the right side, it's better to leverage services provided by the Cloud provider as AWS config

Paolo Latella

Paolo Latella

Cloud Advisor @ Recube

Cloud Advisor and Co-Founder of Recube a company that encourages innovation and Cloud adoption starting from people. Cloud enthusiast with than 10 years of experience on Amazon Web Services. I assist companies on their innovation journey mixing IT strategy, Security and Cloud technologies. I'm an Amazon Authorized Instructor since 2014 and assist AWS on education of current and future generations of Cloud professionals. As an AWS Hero, I love to spend time advocating and evangelizing others about AWS services and Cloud in general. Prominent leader within the Italian AWS community, I frequently participate as speakers at several IT conferences.

Introduction to Crossplane

Crossplane is an open-source project that allows the management of any cloud resource via the Kubernetes API. It's become a key component in the field of platform engineering. In this talk we'll provide an overview of Crossplane, spanning Managed Resources, Providers, Composition Function pipelines, Authentication, and integration with systems like ArgoCD and Flux. During this overview we'll demonstrate code how to define and validate internal new platform APIs, assembling infrastructure components, handling secrets, and creating functions in the language of your choice.

Steven Borrelli

Steven Borrelli

Principal Soutions Architect @ Upbound

Steven is a Principal Solutions Architect for Upbound, where he helps engineers build platforms on top of Crossplane.