Category: Azure – What’s New

Azure Help API: Empowering Users with Immediate Assistance

Azure Help API: Now Available for Users

Overview

Are you looking for a way to troubleshoot and resolve issues with your Azure resources without contacting support? If yes, then you will be happy to know that Azure has launched a new Help API feature that allows you to access self-help diagnostics from your applications or tools.

This blog post will give you an overview of Azure Help API, how it can help you, the prerequisites to use it, and how to get started.

What is Help API?

Help API is a RESTful web service that exposes a set of endpoints for retrieving diagnostic information and recommendations for your Azure resources. You can use Help API to programmatically access the same self-help content that is available in the Azure portal, such as problem descriptions, root causes, mitigation steps, and links to relevant documentation.

How Can Help API in Azure Help You?

Help API can help you in several ways, such as:

  • Reducing the time and effort required to troubleshoot and resolve issues with your Azure resources.
  • Automating the diagnosis and remediation of common problems using scripts or tools.
  • Integrating the self-help content with your own monitoring or management systems.
  • Enhancing the user experience and satisfaction by providing timely and relevant guidance.

What are the Prerequisites to Using Help API?

To use Help API, you need the following:

  • An Azure subscription and an active resource group.
  • A service principal or a managed identity with the appropriate permissions to access the resources you want to diagnose.
  • A client application or tool that sends HTTP requests and parses JSON responses.

How to get started with Help API?

To get started with Help API, you need to do the following:

  • Register the Help API provider in your subscription using the Azure CLI or PowerShell.
  • Obtain an access token for your service principal or managed identity using the Azure AD authentication library (ADAL) or MSAL.
  • Send a GET request to the Help API endpoint for the resource type and problem category you want to diagnose, passing the access token in the Authorization header.
  • Parse the JSON response and display or use the diagnostic information and recommendations.
  • For more details and examples, please refer to the Help API documentation.

Conclusion

Help API is a powerful feature that enables you to access self-help diagnostics for your Azure resources from your applications or tools. It can help you reduce the time and effort required to troubleshoot and resolve issues, automate the diagnosis and remediation of common problems, integrate self-help content with your systems, and enhance the user experience and satisfaction.

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August 25, 2023 Azure - August 2023, Azure - What's New No comments yet
Azure’s New Offering: Durable Functions to Extend Your Azure Capabilities

Durable Functions, an Extension of Azure Functions

Overview

Durable Functions, an extension of Azure Functions, enables you to write stateful functions in a serverless environment. In this blog post, we will explain how they can help you solve complex orchestration problems, highlighting the prerequisites for using them and guiding you through how to get started.

The Functions are like regular Azure Functions but with some added benefits. They can maintain state across multiple executions, handle lolong-runningnd asynchronous operations, and reliably coordinate multiple functions. They use the Durable Task Framework, which implements the Event Sourcing pattern to persist in the state of your functions.

How Durable Functions Help

Durable Functions can help you simplify the development of complex workflows that involve multiple functions and external services. For example, you can use the extension to implement scenarios such as fan-out/fan-in, human interaction, approval workflows, monitoring, and retry policies. The extension also provides built-in resiliency and scalability, ensuring they can handle failures and restarts without losing state or duplicating work.

Durable Functions: Pre-requisites

Before diving in, you must have an Azure subscription and an Azure Storage account to use it. You must also install the Azure Functions Core Tools and the Durable Functions extension on your development machine. Furthermore, you can use any language supported by Azure Functions, such as C#, JavaScript, Python, or Java.

Conclusion

This powerful extension of Azure Functions allows you to write stateful and orchestration functions in a serverless environment. You can use this extension to implement complex workflows that involve multiple functions and external services with built-in resiliency and scalability. To delve deeper into this topic, you can check out the official documentation and some tutorials on creating and deploying your first Durable Function app.

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August 25, 2023 Azure - August 2023, Azure - What's New No comments yet
Scaling Seamlessly: Adapting to Varied Workloads with Autoscale IOPS in Azure Database for MySQL

Azure Autoscale IOPS for MySQL: Effortless Scaling

Autoscale IOPS in Azure Database for MySQL – Flexible Server: A Closer Look

Overview

If you are using Azure Database for MySQL – Flexible Server, you may have noticed a new feature that was recently announced: Autoscale IOPS. This feature allows you to automatically adjust the IOPS (input/output operations per second) of your database server based on the workload demand. In this blog post, I will explain what Autoscale IOPS is, how it benefits you, and how to utilize it effectively.

What is Autoscale IOPS?

Autoscale IOPS is a feature that dynamically changes the IOPS of your database server according to the actual usage. By enabling Autoscale IOPS when you create or update a Flexible Server instance, you can specify the minimum and maximum IOPS values that you want to allow. The minimum IOPS value is the baseline performance level that you pay for, while the maximum IOPS value is the peak performance level that you can scale up to.

How does Autoscale IOPS benefit you?

Autoscale IOPS can significantly improve the responsiveness and cost efficiency of your database server in two ways:

  • Enhancing responsiveness during high demand: By increasing the IOPS to match the workload, Autoscale IOPS reduces latency and improves user experience during peak periods.
  • Cost savings during low demand: During periods of low demand, Autoscale IOPS decreases the IOPS to match the workload, saving you money by avoiding overprovisioning.

How to utilize Autoscale IOPS?

To utilize Autoscale IOPS effectively, ensure you have a Flexible Server instance with General Purpose or Memory Optimized storage type. You can enable Autoscale IOPS when creating a new instance or updating an existing one using the Azure portal, Azure CLI, or Azure PowerShell. Additionally, you can monitor the IOPS usage and scaling history of your instance through the Azure portal or Azure Monitor.

Conclusion

Autoscale IOPS is a powerful new feature in Azure Database for MySQL – Flexible Server, offering better performance and cost efficiency for your database server. By leveraging Autoscale IOPS, you enable Azure to automatically adjust the IOPS based on workload demands, within your specified range. This ensures improved server responsiveness during peak times and cost savings during off-peak periods. For more detailed information on Autoscale IOPS, refer to the official documentation.

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August 7, 2023 Azure - August 2023, Azure - What's New No comments yet
Staying Ahead with Azure Load Testing: Embracing the Latest Innovations

Azure Load Testing: What’s New

Azure Load Testing: What’s New and How to Use It

Azure Load Testing: Overview

Utilize Azure Load Testing, a cloud-based service that empowers you to effortlessly produce and execute load tests for your web applications, APIs, and microservices. Moreover, it enables you to gauge your applications’ performance, scalability, and reliability under realistic user load scenarios.

In this blog post, we will explore some of the latest updates and features of Azure Load Testing. We’ll delve into how they can significantly benefit you and your applications.

JMeter Backend Listeners Support

One of the new features introduced is the seamless support for JMeter backend listeners. JMeter, an immensely popular open-source tool for load testing and performance measurement, allows you to configure backend listeners. These listeners export load test results to a data store of your preference, such as Azure Application Insights, Azure Monitor Logs, or Azure Storage.

This feature streamlines the process of collecting and analyzing load test metrics, enabling you to visualize them effortlessly in dashboards and reports. Additionally, you can utilize this data to set up custom thresholds and criteria for triggering alerts and notifications.

To utilize this feature, upload your JMeter test plan file (.jmx) to Azure Load Testing. Then, specify the backend listener configuration in the test settings. For added convenience, you can also leverage the Azure CLI to create and manage your tests and test runs, incorporating JMeter backend listeners.

Extended Test Duration and Scale

Another notable update is the expanded capability to run tests for longer durations and larger scales. Presently, you can execute tests for up to 24 hours, a valuable asset for testing the endurance and stability of your applications over an extended period. Moreover, you can run tests with up to 100,000 virtual users, utilizing up to 400 engine instances. It effectively evaluates your applications’ peak performance and capacity under heavy loads.

These remarkable features empower you to simulate more intricate and realistic user scenarios, facilitating the identification of performance bottlenecks, errors, or failures during test execution.

To employ these features, you must specify the desired test duration and the number of virtual users in the test settings. For streamlined management, the Azure CLI can be employed to create and oversee tests and test runs, encompassing extended duration and scale.

Azure Load Testing: Conclusion

Azure Load Testing emerges as a powerful and user-friendly service. It is designed to aid you in creating and executing load tests on your web applications, APIs, and microservices. With the recent introduction of new features and updates, the service has bolstered its capabilities and benefits significantly.

This blog post covered two of these notable features: JMeter backend listeners support and extended test duration and scale. By explaining their significance and providing guidance on their utilization, you are now better equipped to harness the full potential of Azure Load Testing.

So, go ahead and embark on your load testing journey with confidence! Happy load testing!

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August 7, 2023 Azure - August 2023, Azure - What's New No comments yet
Mastering the Azure Assess Cost Optimization Workbook: A Step-by-Step Guide

How-To use Azure Cost Optimization Workbook

Getting Started with the Azure Cost Optimization Workbook

Overview

The Azure cost optimization Workbook is a powerful tool that leverages various data sources and queries to provide valuable insights and recommendations for cost optimization. By using data from services such as Azure Advisor, Azure Resource Graph, Azure Monitor Logs, and Azure Cost Management, the workbook helps users identify opportunities to optimize their Azure resources for high availability, security, performance, and cost. Moreover, through interactive visualizations, charts, tables, filters, export options, and quick-fix actions, the workbook presents the data as user-friendly and actionable. This makes it an indispensable asset for cloud professionals seeking to maximize cost efficiency.

How does the Azure Cost Optimization Workbook work?

The Azure Assess cost optimization Workbook uses various data sources and queries to provide insights and recommendations for cost optimization. Some of the data sources and queries used by the workbook are:

  • Azure Advisor: This free service analyzes your Azure configuration and usage data and provides personalized recommendations to help you optimize your resources for high availability, security, performance, and cost.
  • Azure Resource Graph: This service lets you explore your Azure resources using a powerful query language. The workbook uses Resource Graph queries to identify idle or underutilized resources, such as virtual machines in a stopped state, web apps without auto scale, etc.
  • Azure Monitor Logs: This service collects and analyzes data from your cloud resources. The workbook uses Log Analytics queries to provide insights into resource utilization and performance metrics, such as CPU usage, memory usage, network traffic, etc.
  • Azure Cost Management: This service helps you monitor, allocate, and optimize your cloud spending. The workbook uses Cost Management queries to provide insights into your spending trends, budgets, alerts, etc.

Visualizations and Controls

To use the Azure cost optimization Workbook, you need access to Azure Monitor Workbooks and Azure Advisor. Furthermore, you also need the appropriate permissions to view and modify the resources you want to optimize. To get started, follow these steps:

  • Charts: These are graphical representations of data that help you see patterns, trends, outliers, etc. The workbook uses various charts, such as line charts, bar charts, pie charts, etc., to display spending trends, resource utilization metrics, recommendation impact estimates, etc.
  • Tables: These are tabular data representations that help you see details, compare values, sort data, etc. The workbook uses tables to display data such as resource details, recommendation details, quick-fix actions, etc.
  • Filters: These controls help you narrow down the data to a specific subset based on certain criteria, such as subscription, resource group, tag, etc. The workbook uses filters to help you focus on a specific workload or scope you want to optimize.
  • Export: This control allows you to export the data or the workbook to a file format you can share with others or use for further analysis. The workbook allows you to export the data to CSV or Excel formats or export the workbook to JSON format.
  • Quick Fix: This control allows you to apply the recommended optimization directly from the workbook page, without navigating to another portal or service. The workbook provides quick-fix actions for some recommendations, such as resizing or shutting down virtual machines, enabling cluster autoscaler for AKS, etc.

How can you use the Azure Cost optimization Workbook?

To use the Azure cost optimization Workbook, you need access to Azure Monitor Workbooks and Azure Advisor. You also need the appropriate permissions to view and modify the resources you want to optimize. To get started, follow these steps:

  1. Navigate to the Workbooks gallery in Azure Advisor.
  2. Open Cost Optimization (Preview) workbook template.
  3. Choose the subscription and resource group that you want to optimize.
  4. Explore the different tabs and sections of the workbook and review the insights and recommendations.
  5. Apply the filters, export options, and quick-fix actions as needed.
  6. Customize or extend the workbook template as desired.

Conclusion

The Azure cost optimization Workbook is a versatile and essential resource for any cloud professional looking to optimize their Azure costs effectively. Consequently, you can leverage data from various sources and employing user-friendly visualizations and controls. The workbook provides actionable insights and recommendations. This enable users to make data-driven decisions and apply cost-saving measures directly from the workbook. Ultimately, whether resizing virtual machines, adjusting resource utilization, or implementing Azure Cost Management strategies, the workbook simplifies the optimization process, making it easier to enhance cloud efficiency and achieve cost-effective solutions. Learn more about Azure Assess Cost Optimization workbook and its advantages.

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August 2, 2023 Azure - July 2023, Azure - What's New No comments yet
Cutting Azure Costs Made Easy: Navigating the Azure Assess Cost Optimization Workbook

Assess Cost Optimization Workbook: Key Benefits

Azure Assess Cost Optimization Workbook: A Guide for Cloud Professionals

Overview

If you want to optimize your Azure costs, consider the Azure Assess Cost Optimization Workbook. It’s a new workbook template now available in Azure Advisor. It provides insights and recommendations to help you reduce your Azure environment’s cost. In this blog post, we’ll explain its purpose, advantages, operation, and how to enhance your cloud efficiency using it.

What is the Azure Assess Cost Optimization Workbook?

The Azure Assess Cost Optimization Workbook is a template in Azure Monitor Workbooks. It gives an overview of your cost posture and identifies cost optimization opportunities. Aligned with the WAF Cost Optimization pillar, part of the Well-Architected Framework for Azure, it offers best practices and guidance for cost-effective solutions.

The workbook has various tabs focusing on specific areas like compute, storage, and networking, with recommendations such as:

  • Resizing or shutting down underutilized instances to optimize virtual machine spend.
  • Saving money with reserved virtual machine instances instead of pay-as-you-go costs.
  • Adjusting agent nodes based on resource demand by enabling cluster autoscaler for Azure Kubernetes Service (AKS).
  • Saving on Windows Server and SQL Server licenses with Azure Hybrid Benefit.
  • Using Azure Spot VMs for workloads that can handle interruptions or evictions.
  • Adjusting pods in a deployment based on CPU utilization with Horizontal Pod Autoscaler for AKS, and more!

The workbook also offers filters, export options, and quick-fix actions, making it easier to focus on specific workloads, share insights, and apply optimizations from the workbook page.

What are the Advantages of Assess Cost Optimization Workbook?

The Workbook has several advantages over other tools or methods for cost optimization:

  • It acts as a centralized hub, integrating commonly used tools like Azure Advisor, Azure Cost Management, and Azure Policy, helping you achieve utilization and efficiency goals.
  • You can customize and extend the workbook template, creating queries and visualizations through the Azure Monitor Workbooks platform.
  • The workbook uses the latest data from your Azure environment and reflects current pricing and offers from Azure, ensuring accurate insights.
  • It provides actionable insights and recommendations, enabling you to apply them directly from the workbook page, streamlining the optimization process for quick cost-saving actions.

Conclusion

The Azure Assess Cost Optimization Workbook is an invaluable tool for cloud professionals seeking to maximize cost efficiency and optimize their Azure environment. By using this workbook, you gain valuable insights, make data-driven decisions, and take concrete steps towards reducing your Azure costs effectively. Learn How to use Azure Cost Optimization Workbook.

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August 2, 2023 Azure - July 2023, Azure - What's New No comments yet
Meta's Llama 2 in Azure AI: Automating Tasks with Artificial Intelligence

Meta’s Llama 2 in Azure AI: Accelerating AI Projects

Meta’s Llama 2 in Azure AI: Seamless Integration and Deployment

Introduction

Meta’s Llama 2 in Azure AI: Meta and Microsoft announced in July 2023 that Llama 2 is now available in Azure AI. This announcement means that developers can now use Llama 2, a large language model (LLM) trained on a massive dataset of text and code, to build and deploy generative AI-powered tools and experiences on Azure. Llama 2, being open source, allows anyone to access and use it for free. Additionally, Llama 2’s capabilities include generating text, translating languages, writing various creative content, and providing informative answers to questions.

Benefits of Using Meta’s Llama 2 in Azure AI

There are a number of benefits to using Llama 2 in Azure AI. These benefits include:

  • Accuracy: Very accurate in its responses. It can generate text that is grammatically correct and semantically meaningful.
  • Creativity: Very creative as it can generate text that is original and engaging.
  • Scalability: It is scalable. It can be used to generate text for a variety of tasks, from simple chatbots to complex creative applications.
  • Cost-effectiveness: Cost-effective. It is free to use and can be deployed on a variety of platforms.
  • Fine-tuning: It can be fine-tuned to improve its performance on specific tasks.
  • Differentiable: It is differentiable, meaning it can be used to train machine learning models.
  • Extensible: Extensible, which means that it can be customized to meet the specific needs of developers.

How to Deploy Llama 2 in Azure AI

There are a few different ways you can deploy Llama 2 in Azure AI. Firstly, you can use the Hugging Face Transformers library. This library provides a number of tools that make using Llama 2 easy. Another option for deploying Llama 2 is to utilize the Azure AI model catalog. In this case, the catalog offers a pre-trained version of Llama 2 that you can deploy on Azure.

To deploy Llama 2 using the Hugging Face Transformers library, you must install the library and then load the Llama 2 model. Once you load the model, you can use it to generate text, translate languages, or write different kinds of creative content.

To deploy Llama 2 using the Azure AI model catalog, you will need to create an Azure account and then subscribe to the Azure AI service. Once you subscribe to the service, you can search for the Llama 2 model and seamlessly deploy it to your Azure environment.

Conclusion

Llama 2 powers various tasks as a robust LLM. It accurately generates grammatically correct and semantically meaningful text, while also displaying impressive creativity and producing engaging content. With its scalability, cost-effectiveness, and extensibility, Llama 2 becomes an excellent choice for diverse projects.

Additionally, using Llama 2 in Azure AI brings forth the following advantages:

  • Access to Azure’s AI infrastructure: Azure AI provides various AI services, including compute, storage, and networking, enabling you to scale your applications and improve their performance.
  • Security and compliance: Llama 2 is designed to meet the highest security and compliance standards, instilling confidence that your data remains safe and secure.
  • Support: Azure AI offers a wide range of support options, including documentation, tutorials, and forums, which assist you in getting started with Llama 2 and effectively troubleshooting any encountered issues.

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July 24, 2023 Azure - July 2023, Azure - What's New No comments yet
Improved Performance and Accessibility: Introducing Always Serve for Azure Traffic Manager

Always Serve for Azure Traffic Manager: New Feature

Always Serve for Azure Traffic Manager: A New Feature Enhancing Availability

Overview

The Always Serve for Azure Traffic Manager (ATM) is a new feature that enables users to specify a specific endpoint for traffic serving, even if it is not the most optimal choice. This capability is valuable when consistent traffic from a particular location is necessary, such as government websites or financial institutions. Azure Traffic Manager, a cloud-based service, facilitates the distribution of traffic across multiple endpoints, including web servers, cloud services, and Azure VMs. It leverages various factors, such as latency, availability, and performance, to determine the optimal endpoint for serving a request.

Always Serve for Azure Traffic Manager: Benefits

Using Always Serve for ATM offers several advantages:

  • Improved availability: Ensures continuous availability of applications by directing traffic to a healthy endpoint consistently.
  • Reduced latency: Minimizes latency by always serving traffic from the nearest endpoint.
  • Increased control: Empowers users with more control over traffic routing to their endpoints.

How It’s Useful

Always Serve proves useful in various scenarios, including:

1. Government websites: Government websites require accessibility worldwide, even during network outages or disruptions. Always Serve guarantees these websites’ continuous availability to users.
2. Financial institutions: Financial institutions must ensure their websites are accessible to customers at all times, especially during peak load periods. Always Serve helps maintain constant availability, even during traffic spikes.
3. E-commerce websites: E-commerce platforms need to be reliably available to customers for completing purchases. Always Serve ensures these websites’ continuous accessibility, even if issues arise with one of the endpoints.

How to Use Always Serve for Azure Traffic Manager

To leverage Always Serve for ATM, follow these steps:

1. Create a new profile and specify the desired endpoint for traffic serving.
2. Optionally, set a priority for the endpoint to determine its usage when multiple endpoints are available.

Conclusion

Always Serve in Azure Traffic Manager introduces a new feature that enhances application availability and performance. This tool proves invaluable for organizations seeking to maintain constant website availability for their users.The Always Serve feature in Azure Traffic Manager improves application availability and performance, making it an essential tool for organizations that want to ensure their website is always accessible to users.

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July 24, 2023 Azure - July 2023, Azure - What's New No comments yet
Azure Machine Learning Compute Cluster

Azure Machine Learning Compute: Latest Updates

Azure Machine Learning Compute Cluster: Overview

Azure Machine Learning (ML) Compute Cluster is an integral cloud-based service within the Azure Machine Learning platform, delivering on-demand and scalable compute resources for machine learning workloads. Designed to offer a versatile and expandable environment, it accommodates both CPU and GPU-based tasks and supports parallel execution, thus optimizing model training time.

Key Features

The service boasts several key features, empowering users to efficiently manage and scale their machine learning workloads. Notably, it provides a variety of virtual machine sizes tailored to the specific requirements of individual workloads, while also supporting both Linux and Windows operating systems. Moreover, it seamlessly integrates with other Azure services like Azure Kubernetes Service (AKS) and Azure Batch, streamlining workflows and enhancing overall productivity.

Key Benefits

The benefits are abundant. Its scalability and flexibility enable users to accommodate varying workloads with ease. The service significantly reduces model training time by executing machine learning tasks in parallel, leading to faster results and more streamlined development processes. The availability of virtual machine size options further enhances its versatility, ensuring an optimal fit for diverse workload needs.

Azure Machine Learning Compute Cluster: Conclusion

In conclusion, it is a powerful and essential cloud-based resource for executing machine learning workloads. Its ability to provide on-demand scalability, support parallel processing, and offer a range of virtual machine sizes makes it an invaluable asset for data scientists and developers. By leveraging this service, users can expedite model training and achieve enhanced efficiency within their machine-learning projects. However, it is essential to acknowledge its cloud-based nature and ensure a reliable internet connection for seamless utilization. Embrace its capabilities and unlock the full potential of your machine-learning endeavors.

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July 20, 2023 Azure - July 2023, Azure - What's New No comments yet
Azure Event Grid for AKS

Event Grid Upgrade for AKS: Enhancements & Benefits

AKS Empowered: Unraveling the July 19, 2023 Event Grid Upgrade Enhancements

Event Grid Upgrade for AKS: Introduction

In the ever-evolving landscape of cloud computing and Kubernetes, Microsoft’s Azure Kubernetes Service (AKS) has emerged as a popular choice for container orchestration. As businesses demand greater scalability, performance, and reliability, Azure continues to deliver cutting-edge updates to AKS. On July 19, 2023, Microsoft rolled out a significant upgrade to AKS’ Event Grid, with new enhancements promising to revolutionize event-driven application development. In this blog post, we’ll explore these upgrades, their benefits, and why AKS users should consider upgrading.

Event Grid Upgrade for AKS: New Enhancements

  • Custom Event Schemas: The July 2023 upgrade empowers AKS users to define and enforce custom event schemas in Event Grid, standardizing event structures precisely. Custom schemas enhance clarity, enabling seamless integration, reducing errors, and improving reliability.
  • Dead Lettering: The latest Event Grid upgrade introduces dead lettering support, storing failed events in a dedicated “dead letter” queue. This enables efficient debugging, faster issue resolution, and improved application stability.
  • Event Grid Explorer: Microsoft’s new Event Grid Explorer simplifies event monitoring and troubleshooting. It provides real-time insights into event flows, subscription statuses, and delivery performance, enhancing observability and reducing the learning curve.

Benefits of Upgrading

  • Enhanced Application Reliability: Upgrading allows enforcing custom event schemas and leveraging dead lettering, improving application reliability. Correctly structured events and graceful failure handling lead to more resilient applications.
  • Improved Development Productivity: The Event Grid Explorer enables quick analysis and issue diagnosis without external tools. Improved observability accelerates development and facilitates rapid responses to changing requirements.
  • Seamless Integration: Defining custom event schemas enhances collaboration and integration between teams. Adherence to defined schemas reduces friction and accelerates seamless application development.
  • Cost-Effective Error Handling: Dead lettering support automates error handling, storing failed events in a dedicated queue. This saves time, operational costs, and facilitates thorough error analysis.

Conclusion

The July 2023 upgrade elevates event-driven application development on Azure. Custom event schemas, dead lettering, and the Event Grid Explorer empower developers with powerful tools.

Upgrading to the latest AKS version offers benefits like enhanced application reliability, improved development productivity, seamless integration, and cost-effective error handling. Proper planning and testing can mitigate potential challenges.

Whether you’re a seasoned AKS user or starting your cloud journey, embracing the Event Grid upgrade fosters a resilient and agile application ecosystem on Microsoft Azure. Embrace the power of Event Grid to unlock the full potential of your AKS deployments today!

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July 20, 2023 Azure - July 2023, Azure - What's New No comments yet
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