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 138

Azure Serverless IoT Lambda 138

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The provider is essentially your system administrator.

Serverless 245

Serverless Efficiency Lambda Azure 245

SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort goes beyond IoT Edge devices and extends to the common developer experience. Lock Manager.

IoT 61

IoT Servers Development Cache 61

ScaleOut Software

JULY 19, 2021

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. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

VoltDB

JANUARY 12, 2018

So, in the spirit of things, we’ve laid out a few New Year’s resolutions that all database professionals can take into account as they look to turn over a new leaf in 2018 and build on their successes. These systems are fundamentally non-transactional (they lack ACID compliance). Create Better, Real-Time Customer Experiences.

Database 40

Database Blockchain Healthcare Transportation 40

VoltDB

JANUARY 12, 2018

So, in the spirit of things, we’ve laid out a few New Year’s resolutions that all database professionals can take into account as they look to turn over a new leaf in 2018 and build on their successes. These systems are fundamentally non-transactional (they lack ACID compliance). Create Better, Real-Time Customer Experiences.

Database 40

Database Blockchain Healthcare Transportation 40

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. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. The Amazon Web Services ecosystem.

Lambda 183

Lambda AWS Serverless Hardware 183

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Internet of Things (IoT). IoT can be defined as a technology of interconnected devices where human involvement is not required for data transfer. IoT is one of the most vibrant tech trends among current trends in web application development. How does IoT work? IoT tracking systems.

Blockchain 59

Blockchain IoT Development Serverless 59

Dynatrace

SEPTEMBER 30, 2021

AWS Certified SysOps Administrator – Associate: Do you already deploy, manage, and operate AWS system resources and want to learn how to perform those duties even more effectively? Then this one’s for you. Machine learning.

AWS 214

AWS Best Practices Analytics Cloud 214

Dynatrace

OCTOBER 11, 2021

These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. GCF also has relevance in IoT and file processing tasks. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP. GCF use cases. Using GCF within a video analysis workflow.

Google 226

Google Cloud Serverless Azure 226

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

ScaleOut Software

APRIL 6, 2021

The unique capabilities of real-time digital twins can provide important advances for numerous applications, including security, fleet telematics, IoT, smart cities, healthcare, and financial services. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

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. There are five different types of member in an AnyLog system, and any network node can join without restriction as any type of member. This much is openly acknowledged by the authors.

Blockchain 94

Blockchain Internet Internet IoT 94

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. Fault Tolerance If the underlying KafkaConsumer crashes due to ephemeral system or network events, it should be automatically restarted.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper.

Cloud 104

Cloud Big Data Latency Architecture 104

All Things Distributed

JUNE 20, 2017

Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing). Next Digital operates on AWS in a more highly available and fault-tolerant environment than their previous colocation solution.

AWS 149

AWS Logistics Cloud Social Media 149

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. 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.

Logistics 52

Logistics Retail Analytics Azure 52

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

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. Media Session API. Background Sync.

Media 145

Media Games Education Engineering 145

Enprowess

SEPTEMBER 7, 2021

Real-time software system – Collaboration tools used for video/audio conferencing, document writing, Chat applications, etc. IoT-based applications. It helps isolated bugs quickly and reduces system downtime. Easy maintenance: This library re- utilizes system components and resolves any issues regarding React updates.

Open Source 52

Open Source Virtualization Programming Servers 52

Testsigma

FEBRUARY 12, 2021

Given the wide variety of computers, operating systems, and browsers currently available to consumers, testing these variations is important for testers to work. This whole scenario will require an automation system to avoid all these hassles and use all the team’s valuable time. .

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

Strategic Tech

APRIL 27, 2019

Organisations maximising the advantages provided by microservices tend to be organisations which view microservices not just as a technical tool, but a sociotechnical tool.The way software systems are shaped determines the communication paths and the coupling between development teams. As a consequence, we also have subservient teams?

Software Architecture 58

Software Architecture Architecture Government Design 58

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

APRIL 9, 2015

The Amazon Elastic File System. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Customers have been asking to add file system functionality to our set of solutions as much of their traditional software required a broad accessible shared file system.

Lambda 123

Lambda Cloud IoT AWS 123

All Things Distributed

APRIL 4, 2017

After migrating, database queries that took six seconds now take three seconds in their AWS infrastructure. After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. That’s 100% faster.

AWS 117

AWS Airlines Latency Games 117