Particular Software

JULY 12, 2021

Different technologies make sense to address different problems. In your back-end system, you might benefit from event-driven architecture, automatic message retries, and orchestration of long-running business processes. A lack of understanding Different technologies don’t always work well together.

Processing 52

Processing Transportation Azure C++ 52

ScaleOut Software

JULY 14, 2021

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. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. These include application programming interfaces, streaming, and more. Massively parallel processing. Emerging technology frameworks. Data management.

Artificial Intelligence 201

Artificial Intelligence Analytics Storage Government 201

Scalegrid

OCTOBER 7, 2019

This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This is one of the most shocking discoveries, as Azure was tied for second with GCP back in April, and is commonly a popular choice for enterprise organizations leveraging the Microsoft suite of services. of PostgreSQL hosting. use with PostgreSQL.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

APRIL 19, 2023

Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. Owning data and creating data privacy by design Ferguson and Plank focused on two key messages as they discussed data security: Organizations always choose and control the data they process with Dynatrace.

Design 184

Design Storage Programming Analytics 184

Dynatrace

NOVEMBER 11, 2022

By centralizing access to resources, teams can easily containerize , configure, and run modern applications across their IT stack using application programming interface (API) connections. Next, organizations need to effectively monitor and streamline HCI processes. Hyperconverged vs. cloud: Consider the differences.

Infrastructure 194

Infrastructure Storage Virtualization Network 194

Dynatrace

JULY 16, 2021

This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. We have seen users who joined our preview program “speed up their release validation by 90%”.

DevOps 242

DevOps Open Source Cloud Azure 242

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. Peter deSantis does a Monday evening technology keynote that usually has most of the sustainability related content in it. million deaths per year and around 91 percent of the world’s population lives where air quality levels exceed WHO limits.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JULY 10, 2019

This article we help distinguish between process metrics, external metrics and PurePaths (traces). What Dynatrace deployment is the best fit for your technology stack, and is the OneAgent compatible with your system? Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 134

Java Best Practices Metrics Azure 134

O'Reilly

JANUARY 11, 2022

It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API. AI-assisted programming (for example, GitHub Copilot ) has a long way to go, but it will make quick progress and soon become just another tool in the programmer’s toolbox.

Logistics 119

Logistics Social Media Virtualization Strategy 119

Dynatrace

NOVEMBER 12, 2021

A new generation of automated solutions — designed to provide end-to-end observability of assets, applications, and performance across legacy and cloud systems — make that job easier, says Federal Chief Technology Officer Willie Hicks at Dynatrace. AI that uses machine learning requires a slower process in order to train its algorithms.

Cloud 167

Cloud Monitoring Network Azure 167

Dotcom-Montior

OCTOBER 19, 2021

Programming Languages. Site reliability engineers will need to have experience with various programming languages, but more importantly, need to know how to use those languages to automate any and all tasks. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby.

Engineering 86

Engineering Open Source Programming Monitoring 86

Testsigma

NOVEMBER 18, 2021

As technology advancement continues, we’ll see newer, more nuanced types of testing. Q2: What’s your battle-tested process for finding and resolving bugs in Production? Master at least one programming language, preferably Java, Python, or C#, so that you can design and create scripted tests. Work towards improving them.

Engineering 104

Engineering Social Media DevOps Azure 104

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source.

Ecommerce 52

Ecommerce Cache Scalability IoT 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. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

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. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? Based on technology from the Trill research project, the Microsoft Stream Analytics platform offers an elegant and powerful platform for implementing applications like this. What Problems Does Streaming Analytics Solve?

Analytics 69

Analytics Azure Processing Speed 69

ACM Sigarch

OCTOBER 10, 2022

Or, terms security and quantum computers are often associated with Quantum Key Distribution (QKD) or Quantum True Random Number (QTRNG) technologies. Through services such as IBM Quantum, Amazon Braket, Microsoft Azure, and others, almost anybody can already run their quantum programs on real NISQ quantum computer hardware.

Architecture 72

Architecture Hardware Programming Cloud 72

Brendan Gregg

FEBRUARY 28, 2023

It's an important vendor-neutral space to share the latest in technology. I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it.

Performance 110

Performance Latency Cache Virtualization 110

Scalegrid

DECEMBER 6, 2023

Despite those minor challenges posed by this platform, many individuals are turning towards considering using the DBaaS Model partly because they understand considerable advantages lie underneath implementing & utilizing such technology within their systems.

Database 130

Database Cloud Hardware Storage 130

Dotcom-Montior

FEBRUARY 19, 2022

Programming Languages. Site reliability engineers will need to have experience with various programming languages, but more importantly, need to know how to use those languages to automate any and all tasks. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby.

Engineering 52

Engineering Open Source Programming Monitoring 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

KeyCDN

MARCH 14, 2019

Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Machine Learning AI is no longer restricted by its programmer’s inputs.

Development 101

Development Blockchain Serverless Social Media 101

Brendan Gregg

FEBRUARY 28, 2023

It's an important vendor-neutral space to share the latest in technology. I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. It was a great privilege.

Performance 52

Performance Latency Cache Virtualization 52

O'Reilly

NOVEMBER 12, 2019

When we asked if respondents’ organizations had adopted serverless (defining “adopted” as entering into a contract with a vendor to provide serverless resources), we expected a low take rate for this relatively new and developing technology. Interestingly, a higher-than-expected 40% of respondents said they had adopted serverless.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

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

ScaleOut Software

JULY 19, 2021

The technology that can do this is called in-memory computing. As shown in the following diagram, a typical analytics system receives messages from a message hub, such as Kafka, which buffers incoming messages from the data sources until they can be processed. A New Approach: Real-Time Device Tracking.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

JANUARY 31, 2020

Fine-grained analysis by data source must be relegated to offline processing in the data lake, making it impossible to craft individualized, real-time responses to the data sources. They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

JANUARY 31, 2020

Fine-grained analysis by data source must be relegated to offline processing in the data lake, making it impossible to craft individualized, real-time responses to the data sources. They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers.

Analytics 52

Analytics Social Media Serverless Cloud 52

ScaleOut Software

AUGUST 25, 2020

As illustrated in the first diagram, each real-time digital twin hosts two components, state data and a message-processing method. The message-processing method’s code is shared by all twins. Cobbling together these diverse technologies would require several skill sets, lengthy development time, and higher operational costs.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

As illustrated in the first diagram, each real-time digital twin hosts two components, state data and a message-processing method. The message-processing method’s code is shared by all twins. Cobbling together these diverse technologies would require several skill sets, lengthy development time, and higher operational costs.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Summing Up: Do More in Real Time.

Analytics 52

Analytics IoT Lambda Big Data 52