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Cloud technology has experienced accelerated adoption in recent years, with continued growth expected into 2023.1 This means that the need for organizations to attract and retain professionals with cloud skills continues to grow in parallel.2 Keep your cloud career growing, at pace with digital transformation In partnership with Google Cloud, Coursera is offeringno-cost access to some of our most popular cloud training to help you hone your skills and stand out in the job-market. Whether you’re looking to enhance your technical competencies, advance your career, acquire more hands-on experience, or earn learning credentials to validate your knowledge, we have resources available to support your journey. Future-proof your career with select no-cost training and earn certificatesClaim one choice from a variety of popular Google Cloud Projects, Professional Certificates, Specializations and courses, available to claim until December 31st, 2022. The Google Cloud training included in this promotion spans a variety of roles, like machine learning engineering; data engineering; and cloud engineering, architecture and security. Training content is available for both technical and non-technical roles, from foundational to advanced knowledge and experience levels. The training descriptions include any prerequisite knowledge you should have before getting started.The time requirements for completion also vary, so we’ve summarized it below to help you make your choice, and pick the level of commitment that is right for you. When you finish the training on Coursera, you will earn a certificate that you can share with your network on social media and your resume. Types of Google Cloud training available on Coursera Here is a rundown of the different types of training available on Coursera included in this offer, in order of time required to complete it:Projects: Approximately 30-90 minute time commitment to completeLearn new skills in an interactive environment by using software and tools in a cloud workspace with no download required.Courses: Approximately 4-19 hour time commitment to completeCourses typically include a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks. Specializations: Approximately 2-6 months time commitment to completeSpecializations are a series of courses that help you master a skill, and include a hands-on project. Professional Certificates: Approximately 1-9 months Professional Certificates include hands-on projects and courses, and upon completion you will earn a Professional Certificate. These can help you prepare for the relevant Google Cloud certification exam. Here is a look at some of our most popular training for in-demand cloud rolesWork through training at your own pace, and upskill for the role you’re in, or the one you’re looking to grow into. Popular training for in-demand roles include:For those in non-technical roles, working closely with cloud technology Professional Certificate – Cloud Digital Leader This is a foundational level series of four courses designed to give you knowledge about cloud technology and data, and digital transformation. It helps increase confidence in contributing to cloud-related business initiatives and discussions. If you’re in a tech-adjacent role such as sales, HR or operations, you will benefit from this training. For Application Developers Specialization – Developing applications with Google CloudThis Specialization is built for application developers who want to learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud. It includes a variety of learning formats, including labs, presentations and demos. Labs can be completed in your preferred language: Node.js, Java, or Python. You’ll learn practical skills that are ready for immediate use in real IT environments.For experienced ML and AI Engineers Professional Certificate – ML EngineerPrepare for Google Cloud Certification with the Machine Learning Engineer Professional Certificate. This is an intermediate-level training recommended for participants who have data engineering or programming experience, and who want to learn how to apply machine learning in practice and to be successful in a machine learning role. There are 9 courses in this Professional Certificate, and completion time is about 7 months at the suggested pace of 5 hours per week. For beginners with Google Cloud in technical rolesCourse – Google Cloud Fundamentals for AWS ProfessionalsThis course introduces key concepts and terminology through a combination of videos and hands-on labs that can be completed in approximately 9 hours. You’ll learn about the components of the Google network infrastructure and differences between infrastructure as a service and platform as a service; how to organize projects and interact with Google Cloud; and jump into Google Cloud Compute Engine with a focus on virtual networking. For beginners in Data Engineering Project – Introduction to SQL for BigQuery and Cloud SQLThis is a self-paced lab that takes place in the Google Cloud console, giving you interactive practice running structured queries on BigQuery and Cloud SQL. This is a beginner level project that takes about an hour to complete.As the year comes to a close, it’s a great time to prioritize growing your cloud skills. Check out our no-cost Google Cloud training offers on Coursera, available until December 31, 2022.1. According to Forbes: The Top 5 Cloud Computing Trends in 20232. According to Forbes: From Crisis to Opportunity: Tackling the U.S. Cloud Skills GapRelated ArticleBuild your cloud skills with no-cost access to Google Cloud training on CourseraAdvance your technical skills and boost your career by getting hands-on practice with Google Cloud projects.Read Article
Quelle: Google Cloud Platform

9. November 2022

da Agency

Samsung upskills their Big Data Center teams to transform business

Samsung Electronics, one of the world’s largest manufacturers of smartphones, TV’s, home appliances and electronic devices, recently launched their Big Data Center (BDC) to improve the use of big data in development, marketing, and product sales. Samsung also focused on maximizing the value of their existing data by creating a data hub platform to harness and streamline big data resources enabling a boost in their internal analysis and forecasting capabilities. These initiatives all support Samsung’s long-term transformation goal to become a data-driven organization where data drives actionable decisions. Due to Covid-19 impacts, BDC employees had limited in-person training and learning opportunities which also affected their ability to drive data center optimization. This prompted Samsung to creatively determine the best, most expedient route to ensure their teams could attend world-class training. Samsung did this whilst staying focused on their primary objective of maximizing the high capacity of the BDC, and upskilling employees to the most cutting-edge technologies and trends. Hundreds of employees team together in the BDC to design innovative, enterprise-level data utilization environments. This team includes a diverse set of technical expertise including back-end developers, cloud architects, data engineers, data scientists, machine learning engineers, privacy and security experts, strategists, and planners. Samsung preferred to secure a tailored-approach for the desired curriculum and educational experience in order to satisfy their diverse learning needs. With significant experience and expertise in delivering learning across multiple skill sets and delivery formats, the Google Cloud Customer Experience services was the key that enabled and guided Samsung to a successful learning process with data center optimization. Google Cloud Learning services and Customer Care services were engaged to meet their learning and data center optimization objectives. Initially the Learning services team proposed a project to nurture Google Cloud champions within the BDC team by utilizing the on-demand training program including Google Cloud Skills Boost hands-on training and Google Cloud courses available on Coursera. The selected courses were intentionally designed to cover a wide range of product solutions including AI Platform, BigQuery, Cloud Composer, Cloud Dataflow, Compute Engine, and Pub/Sub. In addition, Samsung leveraged Google Cloud’s enterprise-level support service, known as Premium Support to further extend their technical capabilities while meeting the learning needs of BDC employees. Samsung had previously chosen to expand their Technical Account Management capability with the addition of Value-Add Services ensuring that multiple Technical Account Managers (TAMs) were engaged. With proactive collaboration between BDC employees and the dedicated team of TAMs, who arrived with customer-aware knowledge driven insight and guidance, each phase of the prescribed learning program was enabled to deliver the desired tailored development and implementation. Premium Support services was the layer that also ensured that the learning program suited both the immediate needs of BDC employees and the larger enterprise-wide initiatives to foster and drive digital transformation.The learning program produced successful results in two dynamic paths. First, Samsung satisfied their employees’ thirst for continuous learning by upskilling existing skills with on-demand access and customized learning curriculum. Additionally to reinforce the advantages gained from the cloud learning program, the TAM team organized a Google Kaggle Hackathon (GKH) enabling learning participants to gain and demonstrate new proficiencies with tools such as VertexAI, BigQuery, and BigQuery ML in a competition format. The second result included Samsung extending their data center productivity and capabilities to optimize capacity of the BDC with Premium Support services. With tailored guidance from their Premium Support TAM team, Samsung effectively cultivated technical and digital transformation across their business. The BDC employees welcomed the diverse, interactive opportunities to expand their education, and many have directly or indirectly improved their work performance by completing the courses. “Employees are highly satisfied by providing high-quality and diverse educational opportunities. Thanks to this, we won the Samsung Culture Index at the end of the year.” —Wooseung Jang, Corporate EVP, Head of Big Data Center, Samsung ElectronicsThe flexibility of the on-demand Google Cloud Learning services and Premium Support services ensured that the BDC team participated in an innovative learning program in a manner that did not disrupt broader business operations and efficiencies. In fact, the BDC has already experienced a significant increase in their monthly recurring revenue stemming from the more robust operational efficiencies and the resulting employee innovations. Samsung successfully launched their enterprise data hub, with plans to expand and create a Big Data Center in America in the near future.Their educational program is also gaining momentum, with a five-times increase in participants in one year. Currently, over 100 BDC employees participate in Google Cloud training through on-demand courses offered on Coursera, with plans to expand this program to hundreds of employees in data analytics and machine learning next year. By ensuring their employees’ skill sets are optimized, Samsung has gained reassurance that their Big Data Center will remain optimized for continued innovation to perform at the highest levels.To learn more about how Google Cloud Customer Experience services can support your organization’s talent transformation journey, visit: Customer Care Premium Support to empower business innovation with expert-led technical guidance and support Google Cloud Training & Certification to expand and diversify your team’s cloud education
Quelle: Google Cloud Platform

9. November 2022

da Agency

Announcing MongoDB connector for Apigee Integration

MongoDB is a developer friendly application data platform that makes it easy for developers to access a wide variety of data using a unified language interface, simplifying the data handling process. MongoDB Atlas , MongoDB’s fully managed cloud database, enhances MongoDB’s capabilities even further with full-text search and real-time analytics, as well as event-driven and mobile experiences.Google Cloud’s Apigee is an industry-leading, full lifecycle API management platform that provides businesses control over and visibility into the APIs that connect applications and data across the enterprise and across clouds. MongoDB and Apigee have already partnered to provide a solution to ease and secure access to siloed data for internal developers or partners. Today, we are further simplifying this solution by announcing a new connector between Apigee and MongoDB. How is it simpler?It can be complex to connect data and applications. Developers need to create and maintain custom transactional code between cloud apps to create the connection between the data source and application:This code is often the first one to breakIt is not cost effective as it is not reusable.Last year, Google Cloud announced Apigee Integration, a solution that helps enterprises easily connect their existing data and applications and surface them as accessible APIs that can power new experiences, expand digital ecosystems and protect access to critical assets. Apigee provides a secure facade between the frontend application and data source to speed up the development process using standard interfaces and a simplified developer experience.Apigee Integration now includes an out-of-the-box MongoDB connector. With this connector, developers can perform CRUD operations on a MongoDB database. The need for setting up the programming modules and exposing them using the RESTful interface is eliminated. The connection to MongoDB Atlas can be set up directly using the Apigee UI with support for advanced MongoDB connection settings.As the connector is part of Apigee Integration it also provides the ability to transform the data using the transformation enginefrom Google Cloud.You can easily design your transformation logic using a drag-and-drop interface, manage variables in different formats (Json, String, Arrays..) and conditional flows. A concrete exampleA Healthcare company needs to share datasets with external partners. They chose MongoDB Atlas as it is fully managed and for its dynamic schema that is ideal for building modern applications. Their partners can only consume the data through an API. For security reasons, they will not be able to access the database directly.Fig.1 shows how simple it is to implement a “plug and play” approach for this scenario, with built in security at the edge of Google Cloud to prevent attacks using Cloud Armor and Apigee as well as providing fine grained governance for the partners.Figure 1: High level architecture that illustrates how to expose MongoDB Atlas through a Apigee platform without codeFig.2 shows how easily the MongoDB connector can be deployed in the Integration designer, without maintaining any infrastructure. The business logic, like sensitive data approval, can be added to the connector, before the data is returned to the partner. In this example :The flow is triggered by an API call exposed by ApigeeThe MongoDB connector retrieves the data If the DataClass retrieved is A, an approval will be requested on the UI.If the DataClass retrieved is B, only the necessary fields will be sent back to the consumer using the filtering capabilities.Figure 2: Designer example to call MongoDB connector from Apigee Integration and implement an approval workflow and data mappingDevelopers Save Time in a Secure EnvironmentWith this new integration between Apigee and MongoDB Atlas, developers now have a simpler experience for accessing relevant data.Instead of wasting time building transactional code, they can focus on implementing business scenarios in a secure and scalable environment.Next StepsIntroduction to Apigee X.Learn more about MongoDB Atlas.Learn about Apigee connectors.Learn how to set up an Apigee MongoDB connector.Extend your data to new uses with MongoDB and Apigee – blog.We thank the many Google Cloud and MongoDB team members who contributed to this collaboration.
Quelle: Google Cloud Platform

9. November 2022

da Agency

Announcing more Azure VMware Solution enhancements

I’m writing to you today from VMware Explore in Barcelona, where my team and I are presenting to and meeting with customers and partners in person! When we launched Azure VMware Solution two years ago amid a pandemic, IT agility became a top priority as organizations scrambled to enable remote work and ensure business resilience via cloud solutions. In today’s economic climate most organizations want to do more with less. They recognize that by running workloads in the cloud, they can respond more rapidly and reduce IT infrastructure costs.

"I can definitely say that Azure—and in particular Azure VMware Solution—is the right solution for us. It allows us to seamlessly move from on-premises to the cloud, thereby freeing up resources and capital investments that can be used where they are needed more.”—Giorgio Veronesi, Sr. Vice President of ICT Infrastructure, Snam.

Given that TCO is top priority for most companies in the current economic climate, migrating your VMware workloads to Azure is a great way to reduce the cost of maintaining an on-premises VMware environment. Because every customer starts their cloud journey at a different place, we help enable customers to migrate to the cloud on their terms and maintain support for the business platforms and investments they have today.  Azure VMware Solution is an easy way to extend and migrate existing VMware Private Clouds to run them natively on Azure. Azure VMware Solution offers symmetry with on-premises environments, which helps to accelerate datacenter migrations, so customers recognize the benefits of the cloud sooner.

"With help from Microsoft and Mobiz, we were able to deliver a fully qualified landing zone in Azure in one-third the time and at one-third the budget compared to previous cloud efforts."—Sam Chenaur: Vice President and Global Head of Infrastructure, Sanofi.

In keeping with the goal of doing more with less, Microsoft’s unique Azure Hybrid Benefit and Extended Security Updates for Windows Server and SQL Server, Azure VMware Solution is one of the fastest and most cost-effective ways to seamlessly migrate and run VMware in the cloud. If you want to learn more about TCO in your organization read this Forrester paper.

Check out what’s new in Azure VMware Solution

I am excited to share some of the recent updates we’ve made to Azure VMware Solution.

Stretched Clusters for Azure VMware Solution, now in preview, provides 99.99 percent uptime for mission critical applications that require the highest availability. In times of availability zone failure, your virtual machines (VMs) and applications automatically failover to an unaffected availability zone with no application impact. Learn more.
Azure NetApp Files Datastores is now generally available to run your storage intensive workloads on Azure VMware Solution. This integration between Azure VMware Solution and Azure NetApp Files enables you to create datastores via the Azure VMware Solution resource provider with Azure NetApp Files NFS volumes and attach the datastores to your private cloud clusters of choice. Learn more.
Customer-managed keys for Azure VMware Solution is now in preview, both supporting higher security for customers’ mission-critical workloads and providing you with control over your encrypted vSAN data on Azure VMware Solution. With this feature, you can use Azure Key Vault to generate customer-managed keys as well as centralize and streamline the key management process. Learn more.
New node sizing for Azure VMware Solution. Start leveraging Azure VMware Solution across two new node sizes with the general availability of AV36P and AV52 in AVS. With these new node sizes organizations can optimize their workloads for memory and storage with AV36P and AV52. Learn more.
Microsoft Azure native services let you monitor, manage, and protect your virtual machines (VMs) in a hybrid environment (Azure, Azure VMware Solution, and on-premises). Here are some of the existing Azure services: Azure Arc, Azure Monitor, Microsoft Defender for Cloud, Azure Update Management, and Log Analytics Workspace. Learn more.

If you would like to stay up to date with the latest releases from Azure VMware Solution, please follow  Azure updates.

Learn more

This week we are offering a special opportunity to take the Azure VMware Solution Cloud Skills Challenge. Compete in this free, self-paced, Microsoft learning path and advance your technical skills at the same time! Register for the Challenge.

And if you are here at VMware Explore Barcelona, stop by the Microsoft booth, and say hello. We are excited to see you in person!

Check out all our Azure Breakout Sessions during the event.
Visit Booth #401 for our hourly in-booth theater sessions.

You can also attend our next Azure Webinar on December 15th: How to Modernize Your VMware Environment with Microsoft Azure.

As always, you can visit the Azure VMware Solution website or documentation for more information.
Quelle: Azure

9. November 2022

da Agency

Accelerate your cloud-native journey with Azure Monitor

This blog was co-authored by Xema Pathak, Senior Product Manager; Sahil Arora, Principal PM Lead; Matthew McCleary, Senior Program Manager and Brian Wren, Principal Content Developer.

Organizations are going through an era of digital transformation and are embracing various cloud-native technologies to fuel innovation. Developers are critical to this transformation; they need to quickly bring innovation to the market to address customer needs. At Microsoft Azure, we aspire to be the platform to empower you to accelerate your cloud-native journey!

Applications developed on Azure deliver reliability, scalability, and the ability to handle huge amounts of workloads anywhere around the world. These cloud-native apps take advantage of containers, serverless technology, and micro-services-based architecture with Azure Kubernetes Service, Azure Container Apps, and Azure Functions.

Such a growing application environment brings new challenges. Business acceleration is far more than just adopting cloud-native technologies, it’s also about agility and scale. We recognize how onerous it can be for developers to configure and monitor the infrastructure and distributed microservices. Once microservices are deployed, you need the ability to effectively detect and troubleshoot issues to ensure that you provide performance and reliability to your customers. Combating these challenges requires a reliable and scalable monitoring solution that seamlessly combines metrics, logs, and dashboards into a single experience.

Our team has been busy bringing you a reliable, scalable, and secure monitoring service with Azure Monitor. We are excited to share our new offerings—Azure Monitor managed service for Prometheus (preview) and Azure Managed Grafana. They complement existing Azure Monitor tools to help you monitor each layer of your full cloud-native stack on Kubernetes and quickly troubleshoot issues across microservices and infrastructure. Additionally, you can now set up collection for Prometheus metrics and container logs and view them in Grafana dashboards with a single click!

The new Azure Monitor managed service for Prometheus (preview) gives you a fully managed cloud-native metrics solution to ingest, alert on, and query your Prometheus metrics, which provide visibility to the health and performance of your infrastructure and applications. Azure monitor container insights increases your visibility with a fully managed cloud-native logs solution for advanced troubleshooting by analyzing container stdout, stderr, and infrastructure logs. You can quickly identify and mitigate latency and reliability issues using distributed traces with Azure Monitor application insights with preview OpenTelemetry-based instrumentation, which is a fully managed application and performance monitoring (APM) solution. Take your DevOps and site reliability engineering productivity to the next level with the new Azure Managed Grafana with plugins for Azure Monitor, which gives you a fully managed service for full-stack troubleshooting dashboards.

Let’s take a look at how simple it is to configure the monitoring for your kubernetes clusters with Azure Monitor and how to quickly identify the issues across each layer of your full cloud-native stack.

Monitor with highly available, scalable, and secure managed service for Prometheus

Prometheus has become a de facto standard for Kubernetes monitoring to collect a rich set of metric types and visualize them with Grafana, which offers a huge set of community dashboards. However, running self-managed Prometheus is challenging to scale for enterprise workloads, requiring significant time and bandwidth to set up and maintain Kubernetes monitoring deployments. We are introducing Azure Monitor Managed service for Prometheus (preview) to overcome the challenges of self-managed Prometheus and help you accelerate innovation by carrying out frequent high-scale deployments for your services.

Azure Monitor managed service for Prometheus (preview) is a fully managed service that provides a highly available, scalable, and enterprise-grade secure service to easily monitor applications and services running in a containerized environment. Use it as a drop-in replacement for self-managed Prometheus or as remote storage option. Our remote write interface allows you to continue using your self-managed Prometheus, adding the benefits of our managed service such as high-availability, scaling, monitoring across clusters, and long-term data retention.

Easily troubleshoot issues with logs

With Azure Monitor’s unified cloud-native offering for Kubernetes monitoring, you can easily set up log collection alongside managed service for Prometheus. Azure Monitor container insights collects troubleshooting logs, provides recommended alerts to proactively identify issues, and has visualizations to monitor health and performance of your Kubernetes cluster. It complements Prometheus and Grafana for end-to-end Kubernetes monitoring across microservices and infrastructure. With Azure Monitor, you can easily:
•    Identify any resource bottlenecks and perform advanced debugging for any implicit failures.
•    Proactively lookout for any failures or outages by configuring alerts and notifications on Prometheus metrics and container logs.
•    Continuously observe the overall health of your infrastructure and correlate metrics and logs under a single view.

Observe your full-stack with Azure Managed Grafana and OpenTelemetry-based instrumentation

Once you have the monitoring data, it is imperative to bring it all together for continuous observability. To gain more insights for the data you collect, link Azure Managed Grafana to managed service for Prometheus. This offers a curated set of popular open source Grafana dashboards built on top of Prometheus metrics out-of-the-box. You can also combine application metrics and infrastructure metrics from various data sources into a single dashboard for full-stack observability.

At the application layer, Azure Monitor’s preview OpenTelemetry-based instrumentation allows you to use open source technologies to collect additional telemetry from within your application components. We are announcing new capabilities for our preview OpenTelemetry-based offering including metrics, sampling, and resilient data transport. This makes it easier to start using OpenTelemetry APIs with Azure Monitor Application Insights. There’s no need to configure additional agents or other system processes on your cluster. In the video below, check out our recent progress in bringing OpenTelemetry and Grafana to Azure and learn more about the value they can bring to your project.

As cloud-native technologies become central to digital transformation, we are focused on empowering developers to unlock productivity and innovation. We continue to innovate and add more capabilities that allow you to provide performant and reliable experiences to your customers. Get started with monitoring Kubernetes clusters with Azure Monitor.

Learn more
•    Learn more about Azure Monitor managed service for Prometheus and read our technical documentation.
•    Learn more on how to get started with Azure Monitor’s unified cloud-native offering for Kubernetes monitoring.
•    Read the Grafana integrations with Azure Monitor blog.
•    Learn more about OpenTelemetry with Azure Monitor.
Quelle: Azure