Propel your IoT platform to the cloud with Azure Time Series Insights!

Get up and running in the cloud with help from an experienced partner

Build, deploy, and scale powerful web applications quickly and efficiently

Orchestrate protection and recovery of private clouds

Simplify the deployment, management, and operations of Kubernetes

Elastic data warehouse as a service with enterprise-class features

Increase your visibility and reach more customers by publishing in the cloud marketplace

Explore some of the most popular Azure products

Develop microservices and orchestrate containers on Windows or Linux

Deliver innovation faster with simple, reliable tools for continuous delivery

Add security for your data and apps without adding hassles for users

A device-based (also known industry-wide as tag-based) user experience backed by a time series model to contextualize raw time series data with device metadata and domain hierarchies.

Quickly create powerful cloud apps for web and mobile

Easily experiment and train your deep learning and AI models in parallel at scale

Cloud-scale job scheduling and compute management

Fast, easy, and collaborative Apache Spark-based analytics platform

View the current Azure health status and view past incidents

Bring IoT to any device and any platform, without changing your infrastructure

Orchestrate protection and recovery of private clouds

Time Series Insights will store data in Apache Parquet files based on device/tag and timestamp properties, thus optimizing integration with powerful tools like Azure Databricks. Integration with machine learning tools like Azure Machine Learning Studio and Jupyter Notebooks is simplified, so organizations can build models to predict future device states and avoid wasteful maintenance. Time Series Insights makes it easy to collaborate and share insights in seconds through integration with Power BI, Microsoft Excel, and other business intelligence reporting software.

View and interact with Azure Storage resources

Effectively scale apps according to traffic

Durable, highly available, and massively scalable cloud storage

Time Series Insights is the cornerstone of our IoT platform and will be pivotal in enabling our larger AI and Machine Learning strategies going forward. We have partnered closely with the Microsoft TSI team on the two features being announced today. We believe that the tag-centric user experience will enable all our users, from Engineering to Operations, to get more value from our data, due to an ease of access that we have not had as an organization with previous solutions. Time Series Insights new long-term storage will empower our data science and engineering teams, in collaboration with our operations teams, to discover and quickly take action on insights previously hidden in our data. As we migrate from an on-premises to a cloud-based solution, building our platform on Time Series Insights has allowed us to focus our energy on enabling our business partners to meet the growing demands of a changing Power industry, rather than becoming experts on cloud technologies.

ABB is leveraging Azure Time Series Insights inside our ABB Ability Platform to help us build innovative solutions for our customers such as ABB Ability Connected Services for robotics and ABB Ability Remote Diagnostic Services for mining. We chose to build on Time Series Insights because we needed a scalable and performant, fully-managed platform. Time Series Insights enables us to deliver rich, interactive analytics in our solutions that make it easy for customers to solve problems and keep their assets running at peak performance.

Harness the ability to comb billions of webpages, images, videos, and news with a single API call

Managed relational SQL Database as a service

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Energy demand is growing every year, and so are the pressures to deliver energy efficiently and sustainably. TransAlta is right in the middle of a major transformation that will ensure our global generation operations have the appropriate tools to enable timely decision-making in a rapidly changing energy market. Time Series Insights and other Azure IoT services are supporting our ability to tackle these challenges in a more dynamic, flexible and cost-effective manner than the traditional on-premises solutions we have reviewed. We see Microsoft and the Azure IoT team as a strategic partner helping us drive digital transformation in the energy sector.

Simplify the deployment, management, and operations of Kubernetes

Ensure secure, reliable content delivery with broad global reach

Consumer identity and access management in the cloud

Securely deliver content using AES, PlayReady, Widevine, and Fairplay

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Join Azure virtual machines to a domain without domain controllers

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Cognitive Services – Knowledge APIs

Map information and data in order to solve complex tasks

Time Series Insights provides a global view of an organizations data enabling customers to collect and generate insights from highly distributed IoT data. Time Series Insights REST APIs can query across devices/tags, so customers can build domain-specific solutions on top of Time Series Insights to view data streaming from multiple sites in seconds and query data as fast as they can today with a server stored down the hallway. A great example of a customer building on top of Time Series Insights APIs is the industrial automation leader,ABB. Recently, ABB has adopted Time Series Insights as a focal point for their mining, ES, and robotics platforms that will use Time Series Insights long-term storage to empower their customers with rich monitoring and analytics solutions. Below is a quote from ABB Abilitys Group Vice President of Product on their use of Time Series Insights.

Microsoft Azure Stack is an extension of Azurebringing the agility and innovation of cloud computing to your on-premises environment and enabling the only hybrid cloud that allows you to build and deploy hybrid applications anywhere. We bring together the best of the edge and cloud to deliver Azure services anywhere in your environment.

Collect, search, and visualize machine data from on-premises and cloud

Today were pleased to announce two key capabilities that Azure Time Series Insights will be delivering later this year:

Build, manage, and continuously deliver cloud applicationsusing any platform or language

Synchronize on-premises directories and enable single sign-on

Find downloads, white papers, templates, and training

Provision Windows and Linux virtual machines in seconds

Process events with serverless code

Industry leading price point for storing rarely accessed data

Get the SDKs and command-line tools you need

Use your favorite DevOps tools with Azure

Develop and manage your containerized applications faster with integrated tools

Create cloud-powered mobile apps faster

Secure, ruggedized appliance for Azure data transfer

Globally distributed, multi-model database for any scale

Unify security management and enable advanced threat protection across hybrid cloud workloads

Provision cloud Hadoop, Spark, R Server, HBase, and Storm clusters

Connect, monitor and manage billions of IoT assets

Elastic data warehouse as a service with enterprise-class features

Highly granular and real-time monitoring data for any Azure resource

Publish APIs to developers, partners, and employees securely and at scale

Deliver content to virtually all devices with scale to meet business needs

Real-time data stream processing from millions of IoT devices

Accelerate partner connections and amplify success through the Microsoft partner ecosystem

Managed PostgreSQL database service for app developers

Learn how to get started quickly with Azure

Gather, store, process, analyze, and visualize data of any variety, volume, or velocity

Build and deploy cross-platform and native apps for any mobile device

Ship apps faster by automating application lifecycles

Open and elastic AI development spanning the cloud and the edge

Services for teams to share code, track work, and ship software

File shares that use the standard SMB 3.0 protocol

Jason Killeleagh, Enterprise Architect, TransAlta

Dedicated private network fiber connections to Azure

Process events with serverless code

Managed relational SQL Database as a service

Shop applications and tools that integrate with the Azure

Fast, easy, and collaborative Apache Spark-based analytics platform

Uncover insights from video files with speech and vision services

Time Series Insights current user interface is great for data scientists and analysts. However, process engineers and asset operators may not always find this experience natural to use. To address this, we are adding a device-based user experience to the Time Series Insights explorer. This new interface and the underlying time series model that backs the experience will enable OT workers to intuitively find devices related to the assets they care about. By enabling hierarchy and device-based semantics that contextualize the raw time series data, we enable richer and deeper analytics. This means that finding and comparing observation targets (i.e., devices/tags) to trend and explore in the Time Series Insights user experience or with our REST APIs will be seamless.

Easily run containers with a single command

Optimize what you spend on the cloud, while maximizing cloud potential

Simplify on-premises database migration to the cloud

Intelligent, serverless bot service that scales on demand

Network performance monitoring and diagnostics solution

Simplify on-premises database migration to the cloud

Easily build, deploy, and manage predictive analytics solutions

Deliver high-quality video content anywhere, any time, and on any device

Discover more options with open source on Azure

Enterprise-grade analytics engine as a service

Detect, triage, and diagnose issues in your web apps and services

Dynamically stretch on-premises SQL Server databases to Azure

Implement corporate governance and standards at scale for Azure resources

Studio grade encoding at cloud scale

Explore and analyze time-series data from IoT devices

A single layer for all your playback needs

Simplify the deployment, management, and operations of Kubernetes

The below diagram is an example of the rich tag-based experience that we are developing in the Time Series Insights explorer.

Manage and scale up to thousands of Linux and Windows virtual machines

Connect with the Microsoft Partner Community

Learn the basics about Azure services

Power applications with high-throughput, low-latency data access

To help organizations effortlessly scale their time series solutions, Time Series Insights will offer seamless integration with massively-scalable, cost-effective storage, archival and queryability in Azure Storage. This additional layer of storage creates a powerful duality for customers to engage their data while maximizing cost savings. Our warm layer, what Time Series Insights customers know and use today, continues to support interactive analytics. With the cold layer, these same customers will now have a single-source of truth for their time series data in the cloud, at a price that works. We expect most customers to store 30120 days of data in the warm layer, and 120 years in the cold layer, thereby blending the best of both worlds. Cold storage, coupled with device/tag-centric querying across all data, means that customers maximize the cost-benefits of the cloud while still realizing performant querying and trending of historical time series data.

We will be at Hannover Messe this week. Microsoft will exhibit in the Digital Factory at HMI (booth C40), focusing on the benefits of intelligent manufacturing. Well feature the worlds leading innovators through solution showcases and allow you to engage with our newest technologies enabling our customers to build a IoT solutions. Dont hesitate to stop by and learn more.

Ask questions, get answers from Microsoft and community experts

Build secure, scalable, and highly available web front ends in Azure

Quickly create powerful cloud apps for web and mobile

Securely connect MCU-powered devices from the silicon to the cloud

Quickly create environments using reusable templates and artifacts

Achieve global reach and the local presence you need

Simple and secure location APIs provide geospatial context to data

A cost-effective long-term storage that enables a cloud-based solution to trend years worth of time series data pivoted on devices/tags.

Publish APIs to developers, partners, and employees securely and at scale

Get answers to common support questions

Convert speech to text or text to speech, translate text or audio, or add speaker recognition to your app

Establish secure, cross-premises connectivity

Explore free online learning resources from videos to hands-on-labs

Add smart API capabilities to enable contextual interactions

Ensure secure, reliable content delivery with broad global reach

Simplify and accelerate your migration to the cloud

Simple and reliable server backup to the cloud

Managed MySQL database service for app developers

Extend cloud intelligence and analytics to edge devices

Secure, ruggedized appliance for Azure data transfer

Ship apps faster by automating application lifecycles

Add real-time web functionalities easily

Additionally, Time Series Insights will be integrating with advanced machine learning and analytics tools like Spark and Jupyter notebooks to help customers tackle time series data challenges in new ways. Data scientists and process engineers in industries like oil & gas, power & utility, manufacturing, and building management rely on time series data solutions for critical tasks like storage, data analysis, and KPI tracking and theyll be able to do this using Time Series Insights.

Create fully customizable solutions with templates for common IoT scenarios

Build secure, scalable, and highly available web front ends in Azure

Get reliable event delivery at massive scale

Deliver high availability and network performance to your applications

A powerful, lightweight code editor for cloud development

Set up labs for classrooms, trials, development and testing, and other scenarios

Simple and secure location APIs provide geospatial context to data

Create the next generation of applications using artificial intelligence capabilities for any developer and any scenario

Simplify, automate, and optimize the management of your Azure services

Synchronize on-premises directories and enable single sign-on

Distributed analytics service that makes big data easy

Manage user identities and access to protect against advanced threats across devices, data, apps, and infrastructure

Develop microservices and orchestrate containers on Windows or Linux

Quickly create and deploy mission critical web apps at scale

Protect your applications from Distributed Denial of Service (DDoS) attacks

Provision Windows and Linux virtual machines in seconds

Quickly create powerful cloud apps for web and mobile

Your personalized Azure best practices recommendation engine

Build, manage, and monitor all Azure products in a single, unified console

Host enterprise SQL Server apps in the cloud

Connect cloud and on-premises infrastructure and services to provide your customers and users the best possible experience

Support rapid growth and innovate faster with secure, enterprise-grade, and fully managed database services

Below is a diagram that describes Time Series Insights high level architecture and scenarios:

Cloud-scale job scheduling and compute management

Process natural language with pre-built scripts, evaluate sentiment, and learn to recognize intent

Access cloud compute capacity and scale on demandand only pay for the resources you use

Use Image-processing algorithms to smartly identify, caption and moderate your pictures

Experience the simplicity of SaaS for IoT, with no cloud expertise required

The powerful and flexible environment for developing applications in the cloud

Process events with serverless code

Easily discover, assess, right-size, and migrate your on-premises VMs to Azure

Route incoming traffic for high performance and availability

Establish secure, cross-premises connectivity

Build any Azure application, on any Azure service, in less than five minutes

Detect and investigate advanced attacks on-premises and in the cloud

Persistent, secured disk options supporting virtual machines

Durable, highly available, and massively scalable cloud storage

Safeguard and maintain control of keys and other secrets

Propel your IoT platform to the cloud with Azure Time Series Insights!

Send push notifications to any platform from any back end

Services for teams to share code, track work, and ship software

Receive telemetry from millions of devices

Quickly create environments using reusable templates and artifacts

Which public cloud is right for you?

Protect your enterprise from advanced threats across hybrid cloud workloads

Use the development tools you knowincluding Eclipse, IntelliJ, and Mavenwith Azure

With the capabilities we are announcing today, Time Series Insights is evolving from a short-term asset monitoring and diagnostics service to a modern cloud IoT platform for customers and partners to build highly-capable and scalable IoT solutions.

Better protect your sensitive informationanytime, anywhere

Automate the access and use of data across clouds without writing code

Set up labs for classrooms, trials, development and testing, and other scenarios

Hyperscale repository for big data analytics workloads

Provision private networks, optionally connect to on-premises datacenters

Build and host the backend for any mobile app

Build, deploy, diagnose, and manage multi-platform, scalable apps and services

Build more success with the industrys most extensive partner network

Open and elastic AI development spanning the cloud and the edge

Get secure, massively scalable cloud storage for your data, apps, and workloads

Easily run containers with a single command

Explore and purchase technical support

Choose Azure for Windows Server apps and stay with the technology leader you trust

Seamlessly integrate on-premises and cloud-based applications, data, and processes across your enterprise

Sean Parham, Group Vice President of Product Management, ABB Ability

Easily deploy and run containerized web apps that scale with your business

Streamline Azure administration with a browser-based shell

Read the latest posts from the Azure team

REST-based object storage for unstructured data

Nipa Chakravarti, CTO, TransAlta

Protect your applications from Distributed Denial of Service (DDoS) attacks

Store and manage container images across all types of Azure deployments

Were collaborating closely with customers likeTransAlta, to define and build this new infrastructure and solutions using Time Series Insights. Below are quotes from TransAltas CTO and Enterprise Architect attesting to the business advantages they see with adopting Azure IoT and Time Series Insights solutions.

Hybrid data integration at enterprise scale, made easy

Get reliable event delivery at massive scale

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