Dom-Daniel

We cordially invite you to a delightful 40-minute coffee talk where we will explore the remarkable capabilities of Azure Stream Analytics. This engaging session will focus on Azure Stream Analytics, an exceptional service provided by Azure that enables real-time data stream processing and analysis. By leveraging Azure Stream Analytics, organizations can swiftly and effectively extract invaluable insights from their data streams, with the ability to process millions of events per second.

During our coffee talk, we will delve into the impressive features of Azure Stream Analytics, including its fully managed nature, scalable architecture, low latency processing, cost-effectiveness, and its wide range of supported data sources and output destinations. It is an all-encompassing solution that empowers organizations to harness the potential of their data streams efficiently.

Together, we will embark on a hands-on scenario where we will utilize Event Hub to ingest data streams from a REST API. We will then proceed to create Stream Analytics Jobs that enable seamless querying of the data and subsequently present it in a Business Intelligence (BI) environment. By participating in this engaging session, you will equip your organization with the necessary tools to derive meaningful insights from your data streams.

We warmly welcome you to join us for this enlightening coffee talk, where you can contribute to your organization's journey in unlocking the full potential of its data streams. Don't miss out on this opportunity to gain valuable insights and explore the possibilities offered by Azure Stream Analytics.

Are you looking for ways to optimize your data management processes and stay ahead of the curve? If so, we invite you to join Julia for a coffee talk, where you'll discover how Azure OpenAI Embeddings can revolutionize the way you handle large datasets.

Using state-of-the-art technology that represents words as vectors, Azure OpenAI Embeddings enables you to process massive datasets more efficiently, simplify data preprocessing tasks, and scale solutions to handle even the most significant data collections with ease. During the talk, Julia will demonstrate how these cutting-edge tools can be used to perform semantic search and extract valuable insights from text data.

With Azure OpenAI Embeddings, you can unlock the power of pre-made machine learning models to streamline your data management workflows, gain new business insights, and ultimately gain a competitive edge.

Don't miss out on this exclusive opportunity to revolutionize the way you handle data. Join us for the coffee talk, learn from Julia, and start transforming your data management processes today!

По мере того, как компании все чаще переносят свои рабочие нагрузки в облако, они также сталкиваются с проблемой управления и оптимизации своих затрат на облако.

В данном прямом эфире мы рассмотрим, как Azure Automation может помочь вам сократить расходы на Azure за счет автоматизации некоторых задач по оптимизации затрат. Одним из примеров который будет рассмотрен является вариант вертикального масштабирование PaaS служб на основе App Service plan. Последний предоставляет базовые вычислительные ресурсы для нескольких служб Azure, включая Azure Web Apps, Azure Functions, Azure Logic Apps, Azure API Management и Azure WebJobs.

In today's world, search has become essential to every digital project. Azure Cognitive Search offers a great solution that can suit your custom search needs, providing fast and accurate search functionality for your applications, services, and websites. With Azure Cognitive Search, you can enhance your applications' search capabilities and user experience and help your users find the information they truly need.

Join our coffee talk as we explore the benefits of Azure Cognitive Search and how it can enhance your current and future projects.

Do People skip your Terms of Services because it is too long?
With the power of Azure OpenAI services you can automatically extract insights from large volumes of text, saving you the time and effort of having to read every single word.

The summarization provided by Azure OpenAI services can be integrated into various applications such as a chatbot or a search engine and can help businesses quickly understand large amounts of text data, making it easier to make data-driven decisions.

During this Coffee Talk, we will explore how Azure Open AI Services will enhance the natural language processing capabilities and help business streamline processes.

Join us for a coffee-talk session, where we'll be discussing the powerful data engineering and machine learning capabilities of the Databricks platform on Azure. Whether you're already familiar with Databricks or just getting started, this session is a great opportunity to evaluate the easy start of Databricks on Azure without concerns about the environment.

We'll cover a range of topics, including:

• How is an Azure Databricks environment implemented on Microsoft Azure?
• How can you use Databricks to build scalable data ETL pipelines and perform advanced analytics?
• What are some of the key benefits of using Databricks on Azure, such as seamless integration with other Azure services and the ability to scale resources on demand?
• What are some of the best practices for using Databricks in a production environment?

Whether you're a data scientist, data engineer, or IT professional, this coffee-talk will provide valuable insights and practical tips for leveraging Databricks on Azure to solve your toughest data challenges.

So, grab a cup of coffee and join us for an engaging and informative session!

In today's digital landscape, service availability and reliable delivery are crucial for businesses of all kinds. To ensure reliability, it's essential to plan for fault tolerance and conduct rigorous testing. Chaos Engineering plays a critical role in testing the resistance of services, infrastructure, and apps for extreme events.

Chaos engineering involves intentionally injecting faults into a system to test its resilience. By doing so, businesses can identify potential failure points and correct them before they cause an actual outage or other disruption.

While many digital natives and large enterprises design and build their solutions with "Chaos in Mind," most of their in-house testing solutions depend on specialized test/development environments and do not fully comply with Chaos principles.

Fortunately, Azure Chaos Studio provides a fully managed chaos engineering experimentation platform for accelerating discovery of hard-to-find problems, from late-stage development through production. This platform offers access to a range of Chaos Engineering tools within Microsoft Azure and is designed to improve application resilience with chaos testing by deliberately introducing faults that simulate real-world outages.

If you're interested in learning more about Azure Chaos Studio and its potential, join me for a live coffee talk. We'll explore how to define targets and play with fault injections and simulated failures on infrastructure in Azure.

Облачные сервисы сильно облегчают задачи масштабирования приложений, иногда без каких-либо усилий. Но всё ли так идеально и просто как кажется на первый взгляд? Как показывает практика, нет.

Данный кофе толк поможет детально понять как пошагово, используя такие сервисы как: Azure Container Apps, Azure SignalR Service, Azure Key Vault, Azure Storage Account, Azure Application Insights и Azure Load Testing масштабировать горизонтально Blazor Server с нуля.

Do you want to start implementing IoT solutions without high costs and difficulties? Join David for a Coffee Talk to discover the simplicity of IoT with Azure IoT Central. During the coffee talk, we will explore the benefits of a cloud based IoT platform, learn how to connect and manage IoT devices, and create an environment to start experimenting with IoT. The coffee talk is perfect for those new to the world of IoT or looking to switch to a more user-friendly solution.

Join our Coffee Talk on Thursday and start your IoT journey with confidence.

Wake up and smell the coffee, Spark enthusiasts! We've got some exciting news for you. Introducing the Azure Event Hubs Connector for Apache Spark. This powerful connector allows you to seamlessly integrate Spark Streaming with Azure Event Hubs, enabling you to process and analyze massive amounts of real-time data with ease. Whether you're working with IoT devices, social media, or any other data source that generates a high volume of events, the Azure Event Hubs Connector for Apache Spark is the perfect tool to help you make sense of it all.

Get a cup of your favorite brew and join me for a coffee talk on how to harness the power of Spark and Azure Event Hubs to unlock new insights and drive innovation.

Unleash the potential of your data with Apache Spark in Azure Synapse Analytics. Join me for a stimulating live coffee talk as we delve into the managed Spark environment offered by Synapse.

We'll begin by creating a Spark Pool and fine-tuning Spark instances. Then, get hands-on and play around with Synapse Notebooks, extracting and transforming data in the Data Lake, and discover the wonders of Spark tables. During our live talk, you'll also gain a deeper understanding of Spark tables, how to load them, as well as how to effortlessly query the dedicated SQL Pool from your Spark environment.

Don't miss out on this opportunity to expand your knowledge and ask any questions you have during the live session.

Azure Arc — это мост, расширяющий возможности платформы Azure. Azure Arc позволяет создавать приложения и службы, которые могут выполняться в центрах обработки данных, на границе и в многооблачных средах. Разрабатывайте ориентированные на облако приложения на основе модели согласованных операций разработки, эксплуатации и безопасности. С помощью Azure Container Apps можно запускать микрослужбы и контейнерные приложения на бессерверной платформе. Данный доклад поможет вам понять как запускать Azure Container Apps на локальных платформах с помощью Azure Arc.

Our increasing workload makes us seek new solutions to our traditional problems. Therefore, we see many advanced technologies using natural language processing, answering questions, making recommendations, automating, and triggering workflows, and helping us to obtain productivity never seen before.

One of these fantastic tools is Azure Cognitive Services. It provides complex artificial intelligence to applications that can easily be integrated or called within your platforms-using pre-trained and customizable models, saving you time and money.

During this Coffee Talk, we will explore how Azure Cognitive Services can enhance your customers' experience using the power of Microsoft Azure.

Azure Video Indexer extracts insights from video and audio files using Azure’s state-of-the-art machine learning algorithms.

During our coffee talk, we will discuss why Azure Video Indexer might be helpful for your business, making your video content more dynamic and valuable. By understanding and searching through your videos based on faces, conversations, topics, and more.

Video Indexer can be used for transcribing and translating your videos to make them more accessible for your users and help your content to reach worldwide audiences. Using Azure Video Indexer not only can lower your costs related to manual insight generation, transcription and translation but also it can save time by applying Azure’s ML algorithms on large amounts of video and audio content.

Keeping your users safe by moderating the video content before it reaches your end users. Allowing you to keep your brand image and values consistent throughout the digital world and avoiding any problems that might occur with regulators and other shareholders of the company.

This Azure Coffee talk is about Data Lakehouse, a modern data platform architecture that is part of Azure Synapse Analytics. Data Lakehouse is an architecture for storing data by combining Data Warehouse and Data Lake functionality. It helps to store different types of data from different sources and process them faster with familiar tools and services.

During this Coffee Talk we will create Data Lakehouse using Azure Synapse Analytics and will set up Synapse workspace and connect to multiple data sources.

Next, we will explore the data and work with Dedicated SQL and Apache Spark Pools to extract and transform the data.

Finally, we'll explore how to ingest, transform, and orchestrate data using Synapse Pipelines, use a Serverless SQL Pool to build a logical data model, and use other services connected to Synapse.

Azure KeyVault и управление cертификатами Let's Encrypt

Центр сертификации Let's Encrypt выдающий SSL/TLS сертификаты для вебсайтов пользуется большой популярностью не только потому, что предоставляет этот сервис бесплатно, но и в связи с тем, что большинство браузеров имеют встроенную поддержку сертификатов этого центра.

Многие хостинговые компании также предоставляют возможность и помощь в установке сертификатов Let's Encrypt на сайты своих подписчиков.

Об опыте использования сертификатов Let's Encrypt при разработке проектов в Azure, где наиболее удобным местом хранения ключей является Azure KeyVault, и пойдет речь на нашей очередной встрече (в данной сессии) CoffeeTalk.

Let’s Encrypt(LE) is Certificate Authority that provides free SSL/TLS certificates for websites. These certificates are compatible with the most popular browsers and many web hosting companies provide support for LE to their customers.

In this talk I’m going to share some experience of LE setups in Azure and how Azure Key Vault can be used to store and manage these LE certificates.

Cloud Native with Azure Container Apps

There are many options in Azure to build and deploy cloud native and containerized applications on Azure. With Container Apps, you enjoy the benefits of running containers while leaving behind the concerns of managing cloud infrastructure and complex container orchestrators. This Azure coffee talk will help you understand which scenarios and use cases are best suited for Azure Container Apps and how it compares to other container options on Azure.