Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news. Amazon EMR.

AWS 182

AWS Metrics IoT Storage 182

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Observability: Elevating Logs, Metrics, and Traces! What is Fluent Bit?

Best Practices 279

Best Practices IoT Metrics Storage 279

Dynatrace

AUGUST 27, 2020

Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days. AWS IoT Analytics. AWS IoT Things Graph. AWS SDK Metrics for Enterprise Support. Dynatrace makes your life easier with preselected key metrics of each service, so no additional configuration is required.

AWS 279

AWS Cloud IoT Database 279

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 246

Monitoring Social Media IoT Metrics 246

Scalegrid

FEBRUARY 6, 2025

RabbitMQ supports multiple protocols, including AMQP, MQTT, and STOMP, making it highly adaptable for IoT, microservices, and enterprise applications. Whether integrating with IoT devices, web applications, or large-scale enterprise systems, RabbitMQ can communicate with various technologies.

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

SEPTEMBER 30, 2022

IT teams have traditionally relied on internal metrics to estimate business impact. More important is how these metrics impact business outcomes: progression through a funnel, conversion rates and value, fulfillment SLOs, and even net promoter scores (NPS). Observability that extends into business metrics.

Analytics 244

Analytics Best Practices Metrics IoT 244

Dynatrace

JANUARY 26, 2021

Connecting IoT devices (for example, AWS IoT Device Management ). Your team should incorporate performance metrics, errors, and access logs into your monitoring platform. Sending emails in bulk (for example, Amazon Simple Email Service ). Creating a prototype (for example, on Azure ). When the serverless model is not a benefit.

Serverless 246

Serverless Efficiency Lambda Azure 246

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

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

JULY 6, 2020

While the Azure overview page in Dynatrace has long featured monitoring data detected by OneAgent, with additional metrics pulled from Azure Monitor and topology information from Azure Resource Graph, the overview page now gives you quick access to the newly added services, which are listed under Supporting services.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

AUGUST 28, 2020

If you have read about observability, you have been told that collecting the measurements of metrics, distributed traces, and logs are the three key pillars to achieving success. Metrics can originate from a variety of sources, including infrastructure, hosts, services, as well as cloud platforms and external sources.

IoT 237

IoT Infrastructure Monitoring Innovation 237

Dynatrace

OCTOBER 11, 2021

GCF also has relevance in IoT and file processing tasks. To manage apps on the platform, the Google Cloud operations suite includes a set of utilities for writing and reviewing logs, reporting errors, and viewing monitored metrics. Using GCF within a video analysis workflow. Image courtesy of Google.

Google 246

Google Cloud Serverless Azure 246

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. The Amazon Web Services ecosystem.

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. 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.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

Dynatrace

JUNE 1, 2020

Dynatrace provides out-of-the box complete observability for dynamic cloud environment, at scale and in-context, including metrics, logs, traces, entity relationships, UX and behavior in a single platform. Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

VoltDB

OCTOBER 30, 2024

Rather than waiting for equipment to fail, preventive maintenance, via things like real-time decisioning , schedules tasks based on time intervals or usage metrics, enhancing productivity and cost-effectiveness and preventing costly downtime. This approach works well for equipment with variable usage.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Dynatrace

AUGUST 14, 2023

These touchpoints can include traditional rich client applications, smart IoT applications, and even Alexa skills. Metrics like the net promoter score (NPS) or customer satisfaction (CSAT) score encapsulate this kind of customer feedback into measurable analytics.

Analytics 246

Analytics Social Media Website IoT 246

Dynatrace

JUNE 1, 2020

Dynatrace provides out-of-the box complete observability for dynamic cloud environment, at scale and in-context, including metrics, logs, traces, entity relationships, UX and behavior in a single platform. Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

The Netflix TechBlog

AUGUST 30, 2021

MQTT is an OASIS standard messaging protocol for the Internet of Things (IoT) and was designed as a highly lightweight yet reliable publish/subscribe messaging transport that is ideal for connecting remote devices with a small code footprint and minimal network bandwidth.

Latency 222

Latency Traffic Transportation Cloud 222

All Things Distributed

APRIL 9, 2015

Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT). Synchronous requests allow mobile and IoT apps to move data transformations and analysis to the cloud and make it easy for any application or web service to use Lambda to create back-end functionality.

Lambda 104

Lambda Cloud IoT AWS 104

All Things Distributed

MAY 10, 2016

IoT Backend Serverless Reference Architecture. The Internet of Things (IoT) Backend reference architecture demonstrates how to use AWS Lambda in conjunction with Amazon Kinesis, Amazon DynamoDB, Amazon Simple Storage Service (Amazon S3), and Amazon CloudWatch to build a serverless system for ingesting and processing sensor data.

Lambda 91

Lambda Serverless AWS Architecture 91

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 165

Monitoring Mobile Social Media Open Source 165

All Things Distributed

JUNE 10, 2016

IoT Backend Serverless Reference Architecture. The Internet of Things (IoT) Backend reference architecture demonstrates how to use AWS Lambda in conjunction with Amazon Kinesis, Amazon DynamoDB, Amazon Simple Storage Service (Amazon S3), and Amazon CloudWatch to build a serverless system for ingesting and processing sensor data.

Lambda 87

Lambda Serverless AWS Architecture 87

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. Key-value: Key-value databases are highly partitionable and allow horizontal scaling at levels that other types of databases cannot achieve.

Database 167

Database AWS Games Latency 167

Tasktop

MAY 28, 2020

On one hand, there are software-related components, from IoT to SaaS to cloud-native and a large legacy code base, on the other, there is the hardware side of things, all of which must move forward at once. According to Jim, “The Flow Metrics exposed that our backlog was growing and that we were too busy working on something else.

Speed 52

Speed Metrics Transportation Hardware 52

VoltDB

JUNE 26, 2024

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation. Let’s take a look.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

The Morning Paper

FEBRUARY 23, 2020

Despite the "Internet of Things" featuring prominently in the title, there’s nothing particular to IoT in the technical solution at all. 10 minutes) with the bookkeeping metrics for each batch written to the blockchain. An embodiment for structured data for IoT. This much is openly acknowledged by the authors.

Blockchain 94

Blockchain Internet Internet IoT 94

All Things Distributed

NOVEMBER 15, 2016

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance.

Analytics 126

Analytics Availability Media Social Media 126

Alex Russell

APRIL 29, 2021

Another window into this question is provided by the Web Confluence Metrics project. Allows Bluetooth Low Energy devices to safely communicate with web apps, eliminating the need to download heavyweight applications to configure individual IoT devices. Particularly important in industrial, IoT, health care, and education scenarios.

Media 145

Media Games Education Engineering 145

VoltDB

AUGUST 8, 2024

Some of the most common use cases for real-time data platforms include business support systems, fraud prevention, hyper-personalization, and Internet of Things (IoT) applications (more on this in a bit). IoT applications Real-time data platforms can also power a number of IoT applications.

IoT 52

IoT Latency Traffic Logistics 52

Adrian Cockcroft

FEBRUARY 13, 2023

I asked around and heard that they are still working on it, but the AWS hiring freeze means that they don’t have the headcount they expected and are making slow progress on an API, more detailed metrics, and scope 3, which everyone is waiting for. Portfolio is currently reducing Amazons carbon footprint by 19 Million Metric Tons of CO2e.

AWS 64

AWS Energy Architecture Programming 64

ScaleOut Software

AUGUST 20, 2020

This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source.

Cloud 52

Cloud Development Analytics Azure 52

Apica

OCTOBER 29, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Support a wide variety of devices and application types –The platform should be optimized to support multiple devices, implementations, and Operating Systems.

Performance Testing 40

Performance Testing Testing Performance Software 40

Apica

NOVEMBER 15, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Support a wide variety of devices and application types –The platform should be optimized to support multiple devices, implementations, and Operating Systems.

Performance Testing 40

Performance Testing Testing Performance Games 40

Testsigma

FEBRUARY 12, 2021

It is mostly a metric of quality assurance, but the whole app development team is active in its operations. We have software that communicates with different components, such as APIs, databases, and hardware, and data flows in real-time across many connected devices in the IoT environment (internet of things).

Testing 54

Testing Testing Tools Software Engineering Internet 54

VoltDB

JUNE 9, 2017

There are several reasons for this – the evolution of 4G to 5G, IoT adoption, the proliferation of devices, and more – but the need for new revenue models and network controls is equally pressing. These systems drive deep insights into network engineering and planning, capacity management, customer retention, and other key metrics.

Analytics 40

Analytics Strategy Network Games 40