All Things Distributed

JUNE 10, 2016

The notes are stored in Amazon DynamoDB, and are processed asynchronously using DynamoDB streams and a Lambda function to add them to an Amazon CloudSearch domain. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

The notes are stored in Amazon DynamoDB, and are processed asynchronously using DynamoDB streams and a Lambda function to add them to an Amazon CloudSearch domain. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

NOVEMBER 8, 2021

These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions. Root-cause analysis. Insight into business KPIs.

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

All Things Distributed

JUNE 7, 2017

This is because data gets more valuable when it can be processed together with other data. At the same time, it can be valuable to process some data right at the source where it is generated. When you can't address scenarios such as these, the value of data you don't process is lost. Law of the Land.

AWS 118

AWS IoT Lambda Storage 118

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

Adrian Cockcroft

NOVEMBER 26, 2023

Yet many companies find it challenging to integrate digital technologies meaningfully into their operations, and they still rely on inefficient processes that generate unnecessary waste. In this session, SK ecoplant shares how they were able to unlock the power of digital technologies to improve natural resource management and reduce waste.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

AUGUST 28, 2020

Data silos – Multiple agents, disparate data sources, and siloed monitoring tools make it hard to understand interdependencies across applications, multiple clouds, and digital channels such as web, mobile, and IoT. Observability becomes ‘always-on’ and scalable so constrained teams can do more with less.

IoT 160

IoT Infrastructure Monitoring Innovation 160

The Morning Paper

OCTOBER 4, 2020

There are high hopes for 5G , for example unlocking new applications in UHD streaming and VR, and machine-to-machine communication in IoT. It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

Apica

APRIL 11, 2023

Businesses today use automation for everything from payroll to report generation, and they often turn to a robotic process automation (RPA) system to help. A solution should have packet capture abilities that provide low-level network scraping capability, ideally producing PCAP files for analysis.

IoT 52

IoT Benchmarking Scalability Network 52

Adrian Cockcroft

AUGUST 9, 2022

So while I have retired from corporate life, I have ideas to share, as an analyst and presenter, and needed a framework to support consulting and analysis work. Having worked with something like 70 large and small companies over the past decade, the business processes and best practices have been tested and work well.

IoT 52

IoT Best Practices AWS Media 52

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. Their analysis determines whether immediate action needs to be taken to resolve an issue (or identify an opportunity).

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. Their analysis determines whether immediate action needs to be taken to resolve an issue (or identify an opportunity).

Cloud 52

Cloud Development Analytics Azure 52

All Things Distributed

JUNE 26, 2016

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. At-scale computing and visual analysis. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data.

AWS 90

AWS Cloud Healthcare Blockchain 90

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

All Things Distributed

MARCH 11, 2015

From retail recommendations to genomics based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud based analytics. All of this while cutting their datawarehouse cost by 80%.

Analytics 135

Analytics Cloud Healthcare Retail 135

ScaleOut Software

JULY 14, 2021

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52

IoT Azure Analytics Serverless 52

VoltDB

JUNE 9, 2017

The performance requirements for telco networks are staggering – the ability to process millions of transactions per second, the ability to manage billions of events per day, and the ability to manage tens of millions of devices simultaneously – and to do so without any perceptible downtime. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

The performance requirements for telco networks are staggering – the ability to process millions of transactions per second, the ability to manage billions of events per day, and the ability to manage tens of millions of devices simultaneously – and to do so without any perceptible downtime. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40

Testsigma

JANUARY 7, 2022

2015 saw the trend of scriptless testing and IoT focussed methodologies. With the end of 2021, we are here after careful analysis of the market trend and the latest prioritised technologies that we believe will be important in the future. QAOps is a term derived by combining the two processes – the DevOps and QA into one.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

OCTOBER 11, 2021

The platform automatically manages all the computing resources required in those processes, freeing up DevOps teams to focus on developing and delivering features and functions. Cloud Functions are ideal for creating backends, making integrations, completing processing tasks, and performing analysis. Image courtesy of Google.

Google 221

Google Cloud Serverless Azure 221

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 63

Programming IoT Java Analytics 63

All Things Distributed

DECEMBER 13, 2016

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ACM Sigarch

DECEMBER 6, 2018

Orchestrate the processing flow across an end-to-end infrastructure. To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research. For many IoT applications involving wireless video sensors (e.g. Yolo , ResNet50 ).

Wireless 54

Wireless IoT Analytics Architecture 54

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 40

Programming IoT Java Analytics 40

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 Internet of Things (IoT). How does IoT work? AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. However, the data infrastructure to collect, store and process data is geared toward developers (e.g., Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements.

Lambda 122

Lambda Cloud IoT AWS 122

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40