Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. The report also reveals the leading programming languages practitioners use for application workloads. Kubernetes moved to the cloud in 2022. Kubernetes infrastructure models differ between cloud and on-premises.

Open Source 333

Open Source Java Operating System Programming 333

Dynatrace

MARCH 8, 2022

Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace Launches DevSecOps Automation Alliance Partner Program.

Code 172

Code Software Software Serverless 172

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 239

Serverless Efficiency Lambda Azure 239

ACM Sigarch

OCTOBER 10, 2022

Although, only recently the security attacks on quantum computers have begun to be demonstrated, this brings to the forefront the need to consider security of quantum computer architectures as a first-class design objective. Given their promise, these computers are available, in some cases even freely, for access as cloud-based devices.

Architecture 72

Architecture Hardware Programming Cloud 72

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Frequently Asked Questions What are the disadvantages of DBaaS?

Database 130

Database Cloud Hardware Storage 130

Dynatrace

APRIL 19, 2023

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. Organizations need greater transparency and visibility into core multi- and hybrid cloud environments to combat these challenges. API access management.

Design 181

Design Storage Programming Analytics 181

Dynatrace

NOVEMBER 11, 2022

Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. For organizations managing a hybrid cloud infrastructure , HCI has become a go-to strategy. Hyperconverged vs. cloud: Consider the differences.

Infrastructure 191

Infrastructure Storage Virtualization Network 191

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. These include application programming interfaces, streaming, and more.

Artificial Intelligence 197

Artificial Intelligence Storage Analytics Government 197

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. End-to-end tracing through cloud services. Join the Early Access Program. The Early Access Program will start with OneAgent version 1.171.

Azure 148

Azure Open Source Transportation IoT 148

Dynatrace

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” ” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. What is OpenShift?

Open Source 195

Open Source Social Media Infrastructure Operating System 195

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

Scalegrid

APRIL 5, 2024

It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance. The architecture behind Redis Cluster offers high availability through its cluster nodes—essential for continuous operation in distributed environments.

Scalability 130

Scalability Efficiency Java Database 130

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS 52

AWS Energy IoT Best Practices 52

Percona

DECEMBER 4, 2023

Participation in the anonymous program is optional. Participation in the anonymous program is optional. Release highlights include: Docker images are now available for x86_64 architectures. You can opt out if you prefer not to share this information. Find more information in the Telemetry on Percona Server for MySQL document.

Open Source 77

Open Source Azure Servers Programming 77

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. 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

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. 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

Testsigma

NOVEMBER 18, 2021

The type of applications that are being tested has changed as well, from (now) legacy client server-based applications to microservice-based or cloud-based architectures. 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

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0

Performance 110

Performance Latency Cache Virtualization 110

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. Assuming bottlenecks are avoided, this enables transparent throughput scaling that matches an increase in workload, which in turn keeps response times low for users.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. Assuming bottlenecks are avoided, this enables transparent throughput scaling that matches an increase in workload, which in turn keeps response times low for users.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Tasktop

JULY 21, 2020

Ideas that start in Jira Align are executed in work management tools like Jira , Azure DevOps , and Rally ; tested in tools like Tosca , qTest , Micro Focus ALM and SmartBear ; and supported in ITSM tools like ServiceNow , Jira Service Desk a nd BMC Remedy. . Automate artifact creation in Jira Align (Themes, Capabilities, Epics, etc.)

Azure 52

Azure DevOps Programming Scalability 52

Brendan Gregg

FEBRUARY 28, 2023

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. The call for participation ends on March 2nd 23:59 SGT! Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

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

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

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. Hospitals distributed across the United States can send status updates to the cloud service regarding their shortfall of supplies such as ventilators and personal protective equipment.

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. Hospitals distributed across the United States can send status updates to the cloud service regarding their shortfall of supplies such as ventilators and personal protective equipment.

Logistics 52

Logistics IoT Analytics Azure 52

O'Reilly

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Coincidence? Figure 3 (above).

Software Architecture 137

Software Architecture DevOps Data Engineering Architecture 137

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application.

Analytics 52

Analytics Social Media Serverless Cloud 52

High Scalability

JULY 20, 2018

Yet we still program with text—in files. And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. That’s mapping applications to the specific architectural choices.

Internet 121

Internet Internet Scalability Automotive 121

O'Reilly

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140