Daniel Bryant

SEPTEMBER 16, 2022

DORA metrics are used by DevOps teams to measure their performance and find out whether they are “low performers” to “elite performers.” In this article, you will learn about service discovery in microservices and also discover when you should use an API gateway and when you should use a service mesh.

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Load Balancer Cloud Continuous Delivery Microservices 95

Capgemini

APRIL 7, 2021

This, combined with edge computing, makes it possible to not only monitor every asset and process parameter – which is the traditional value proposition of IoT and IIoT – but also to build decisioning capability and intelligence closer to the point of execution.

Industry 40

Industry IoT Agile Blockchain 40

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. These smaller services can be highly efficient and lend themselves to high scalability, but not without loading DevOps teams with the additional pressure of housekeeping.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Linux Academy

JANUARY 26, 2019

Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before. As organizations reach a cloud maturity model that involves microservices and container orchestration, they begin to depend upon leading cloud native technologies such as Kubernetes and Docker.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

O'Reilly Media - Ideas

DECEMBER 5, 2018

Fundamentals of IoT with JavaScript , February 14-15. Microservices Architecture and Design , January 16-17. Domain-Driven Design and Event-Driven Microservices , January 22-23. DevOps Toolkit , January 28-29. Advanced SQL Series: Proximal and Linear Interpolations , February 12. Mastering Pandas , February 13.

Artificial Inteligence 101

Artificial Inteligence Course Training Blockchain 101

Kentik

FEBRUARY 27, 2018

Many large businesses already have DevOps teams deploying new microservices-based applications in public cloud infrastructure. IoT is inherently digital and adoption is occurring at a rapid pace as businesses instrument the physical world with sensors spanning a wide range of environments.

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WAN Weak Development Team IoT Internet 40

O'Reilly Media - Ideas

JANUARY 2, 2019

Fundamentals of IoT with JavaScript , February 14-15. Microservice Fundamentals , January 10. Microservices Architecture and Design , January 16-17. Domain-Driven Design and Event-Driven Microservices , January 22-23. Microservice Decomposition Patterns , January 25. Microservices Caching Strategies , January 28.

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Course Artificial Inteligence Training Blockchain 57

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Applications are becoming more modular, leveraging containers and microservices as well as virtualization and bare metal. Happy New Year and welcome to 2019, a year full of possibilities.

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Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Ideas

MAY 1, 2019

IoT Fundamentals , June 17-18. Network DevOps , June 6. Deploying Container-Based Microservices on AWS , June 10-11. Microservices Caching Strategies , June 17. Microservice Fundamentals , July 10. Microservice Collaboration , July 11. Real-time Data Foundations: Kafka , June 11. Ansible in 4 Hours , June 3.

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Course Training Artificial Inteligence Machine Learning 46

Kentik

MARCH 7, 2018

IoT plays a key role in sensing all of the critical elements in the physical world and delivering a continuous feed of sensor data to a Big Data analytics cluster situated in the cloud. Digital transformation in this sector will have major implications for enterprise IT systems, software and network infrastructure. Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

OTS Solutions

MAY 2, 2023

Internet of Things (IoT): The Internet of Things has become important in digital transformation. With IoT solutions , businesses can collect data remotely and use it to optimize operations, enhance customer experiences, and develop new revenue streams. Embrace AIOps (AI operations) to support multi-cloud and microservices.

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Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Machine Learning for IoT , March 20. Microservice Collaboration , March 7. Deploying Container-Based Microservices on AWS , March 21-22. Microservices Caching Strategies , March 27. Network DevOps , March 29.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

ParkMyCloud

OCTOBER 4, 2019

UNC1010 – Achieving zero downtime deployments with Azure DevOps and Kubernetes. BRK3062 – API management for microservices in a hybrid and multi-cloud world. BRK3181 – Advanced monitoring: Five Azure Monitor best practices you should know. BRK3190 – Analyze, manage, and optimize your cloud cost with Azure Cost Management.

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Azure Machine Learning Artificial Inteligence Conference 8

Datavail

AUGUST 5, 2021

In a previous blog post, we discussed a number of ways that you can modernize your legacy applications, including cloud migrations, microservices and DevOps. Azure customers can use Service Fabric to build modular, independent microservices that communicate with each other using APIs (application programming interfaces).

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Azure Software Development Artificial Inteligence Serverless 52

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

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Weak Development Team Load Balancer Technical Review Microservices 83

Sunflower Lab

MARCH 29, 2018

Understand the pros and cons of monolithic and microservices architectures and when they should be used – Why microservices development is popular. The traditional method of building monolithic applications gradually started phasing out, giving way to microservice architectures. What is a microservice?

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Microservices Architecture Applications Software Review 60

Agile Engine

DECEMBER 3, 2023

35–48% savings reported by AWS for companies like Koch and Parsons 50% increase in costs reported by clients due to unoptimized AWS infrastructure Our experience: cutting AWS bills by up to 80% The optimization of AWS infrastructure and use has been a part of several of our projects focused on DevOps, microservices, and cloud migration.

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UI/UX Budget Applications Technical Review 52

OpenCredo

MAY 14, 2020

A significant factor in this journey has been the ability to automate infrastructure delivery – and as complexity has grown with the adoption of microservices, big data and IOT, this automation has evolved to become more sophisticated. Complexity & DevOps. In some cases, this might well be a valid conclusion.

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System Weak Development Team Microservices Off-The-Shelf 52

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.

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Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Tenable

APRIL 24, 2023

The 2021 Cloud Native Computing Foundation survey , which polled more than 2,000 DevOps professionals worldwide, revealed that 91% of respondents are using Kubernetes in production, a significant increase from the 58% who reported doing so in 2018. Here’s what you need to know.

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Software Review Policies Systems Review Technical Review 52

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

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Systems Review System Microservices Software Review 63

Palo Alto Networks

FEBRUARY 19, 2021

These organizations are looking beyond short-term benefits and investing in a cloud foundation to increase competitiveness, so as to accommodate technologies such as artificial intelligence (AI), advanced data analytics, IoT and edge computing. Therefore, more entities within production and the application lifecycle need to be protected.

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Enterprise Cloud Serverless Artificial Intelligence 71

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. HCP, Hitachi Content Platform, lets users securely move data to, from, and among multiple cloud services, and better manage use cases including data governance, IoT, and big data.

Cloud 49

Cloud AWS Azure Data Center 49

ParkMyCloud

AUGUST 29, 2019

ARC201 – Comparing serverless and containers – Microservices are a great way to segment your application into well-defined, self-contained units of functionality. Come join us in this chalk talk as we discuss two common architectures for deploying microservices: containers and serverless.

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AWS How To Serverless Microservices 12

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Streaming, IoT, and time series mature. Stream” itself was No.

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Conference Data Data Engineering Artificial Inteligence 8

Mentormate

JANUARY 7, 2021

Since microservices have constantly changing infrastructure resources and configurations, maintaining them is a challenge. Even the most capable teams have trouble when managing hundreds, or even thousands, of microservices. AWS IoT Greengrass 2.0 – With an Open Source Edge Runtime and New Developer Capabilities.

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AWS Lambda Software Review Serverless 98