Dynatrace

SEPTEMBER 30, 2021

AWS Certified DevOps Engineer – Professional: Very experienced developers who want to become even more expert at developing and managing distributed applications in the AWS cloud may want to get this certification. Data analytics. The top AWS certification options. So, what are the best AWS certifications? Machine learning.

AWS 246

AWS Best Practices Cloud Analytics 246

DZone

MAY 19, 2023

Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. On the one hand, they provide system risk alerts and help engineers quickly locate root causes in troubleshooting. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure 204

Azure Serverless IoT Lambda 204

Dynatrace

SEPTEMBER 27, 2024

A great reference is our blog post, Leverage edge IoT data with OpenTelemetry and Dynatrace , in which we documented the required steps to parse and ingest a single JSON log file into Dynatrace via OpenTelemetry. Logs can also be ingested from various sources, including OpenTelemetry and Fluentbit.

Monitoring 260

Monitoring Performance IoT Analytics 260

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 107

Analytics Cloud Healthcare Retail 107

DZone

JANUARY 13, 2023

For this reason, time-series analytics have proved critical for making sense of real-time market data in financial services, sensor data from IoT devices, and application metrics.

IoT 178

IoT Analytics Database Metrics 178

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

Dynatrace

JULY 6, 2020

All this comes with the Dynatrace zero-configuration approach, automatic service detection, continuous data capture in context, and answers, not just data, from the Dynatrace Davis AI engine, making you ready for large-scale Azure deployments. Gain enhanced visibility into your Azure environment.

Azure 227

Azure Cloud Big Data Virtualization 227

Scalegrid

AUGUST 27, 2024

This article expands on the most commonly used RabbitMQ use cases, from microservices to real-time notifications and IoT. Key Takeaways RabbitMQ is a versatile message broker that improves communication across various applications, including microservices, background jobs, and IoT devices.

IoT 130

IoT Ecommerce Games Scalability 130

Dynatrace

JUNE 1, 2020

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Davis, our AI engine, doesn’t need to learn – it already knows and is always there continuously automating, observing, learning and providing answers and prioritize what matters. Advanced Cloud Observability. AI-Assistance.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

Dynatrace

NOVEMBER 8, 2021

A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Insight into business KPIs.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs.

Database 166

Database AWS Games Latency 166

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g.,

Database 156

Database Lambda AWS IoT 156

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. SPICE enables QuickSight to scale to many terabytes of analytical data and deliver response time for most visualization queries in milliseconds.

Cloud 112

Cloud Big Data AWS Analytics 112

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78

IoT Big Data Analytics Architecture 78

Scalegrid

FEBRUARY 11, 2025

This flexibility makes NoSQL databases well-suited for applications with dynamic data requirements, such as real-time analytics, content management systems, and IoT applications. Unlike relational databases, NoSQL databases do not require a fixed schema, allowing for more flexible data models.

Scalability 147

Scalability Database Storage IoT 147

Dynatrace

JUNE 1, 2021

With the Davis® AI engine at its core, Dynatrace provides precise answers to complex questions in real time. Because Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for biz, ops, app and dev teams, they can go faster and deliver consistently better results with less friction.

Monitoring 165

Monitoring Mobile Social Media Infrastructure 165

All Things Distributed

MAY 3, 2017

Germany's "hidden champions" – family-owned companies, engineering companies, specialists – are unique in the world. Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. has not even been fully leveraged yet. Ecosystem of additional services.

Logistics 66

Logistics IoT Analytics Innovation 66

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? Information needs to be handled in real-time, not via batch processing. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? Information needs to be handled in real-time, not via batch processing. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Artists, researchers, and engineers are already starting to harness the power of deep learning based generative models to create content. For many IoT applications involving wireless video sensors (e.g. Quality vs Bandwidth.

Wireless 54

Wireless IoT Architecture Analytics 54

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. For example, a PLM digital twin of a truck engine might describe the properties of the engine, such as its temperature and oil pressure.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. For example, a PLM digital twin of a truck engine might describe the properties of the engine, such as its temperature and oil pressure.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

Adrian Cockcroft

FEBRUARY 13, 2023

SUS206 Sustainability and AWS silicon  — Kamran Khan AWS Senior Product Manager Inferential/Trainium/FPGA, David Chaiken Pinterest Chief Architect, and Paul Mazurkiewicz AWS Senior Principal Engineer. Good discussion of the embodied carbon of silicon chip production. shorter training time, saving 54% energy and 75% cost.

AWS 64

AWS Energy Architecture Programming 64

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

VoltDB

JUNE 21, 2024

AI is really the next generation of data analytics — a fancy new (although not really, more on that in a second) way to crunch data, ideally in true real-time fashion. This is because AI engines are much, much slower than straightforward data manipulation. But a lot of it is real-world stuff about to explode on the real-world stage.

Speed 52

Speed Engineering Media Java 52

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Enterprise customers spend a large chunk of their digital and marketing budget on CMS and associated modules such as digital asset management (DAM).

Systems 63

Systems Cache Website Network 63

VoltDB

FEBRUARY 29, 2024

HOW VOLT SOLVES LATENCY VS THROUGHPUT, WITHOUT SACRIFICES Volt Active Data is the only real-time data processing platform that combines the immediacy of event stream processing with the state-based consistency of a blazingly fast in-memory database and the decisioning intelligence of a sophisticated rules engine.

Latency 52

Latency Games Traffic Network 52

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. It is the underlying engine that allows QuickSight to deliver blazing fast response times on large data sets. While QuickSight supports multiple graph types (e.g.,

Analytics 123

Analytics Availability Media Social Media 123

Testsigma

FEBRUARY 12, 2021

IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. There is a huge expansion and the need for a good IoT research plan. . In 2019, we had previously projected the demand for IoT research at $781.96billion.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Adrian Cockcroft

NOVEMBER 18, 2024

Also learn how AWS customer Generation Park, a McCord Development project, is leveraging the Garnet Framework and AWS Partners to build an IoT water monitoring solution to reduce water wastage and set a foundation for future smart city projects. Raman Pujani, Solutions Architect, AWS NOTE: This is an interesting new topic.

AWS 98

AWS Energy Lambda Government 98