CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. DevOps engineer. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Dzone - DevOps

MARCH 18, 2024

Predictive analytics : AI can leverage historical data to predict usage trends, identify potential bottlenecks, and offer proactive solutions for enhancing the scalability and reliability of APIs and microservices.

Microservices 96

Microservices Architecture Load Balancer Cloud 96

Mobilunity

JANUARY 4, 2023

Nearly 47% of respondents said they would be employing a DevOps or DevSecOps approach to software development in 2022. Software development and IT operations are combined in the process known as “DevOps.” The Reasons to Hire Freelance DevOps Engineer. Key Skills and Responsibilities for Remote DevOps Engineer.

DevOps 52

DevOps How To Azure Weak Development Team 52

Apiumhub

FEBRUARY 9, 2021

DevOps engineer job offer : we are looking for a DevOps engineer (m/f) to join our young & dynamic software development team! DevOps engineer job offer. We build scalable software platforms and think about performance and cost reduction every time we start the project. DevOps mindset. Who we are? GIT knowledge.

DevOps 52

DevOps Engineering Continuous Integration Architecture 52

Altexsoft

AUGUST 30, 2018

Today, DevOps is one of the most discussed software development approaches. So, if you are considering embracing DevOps for the sake of better performance, business success, and competitiveness, you take the first step and hire a DevOps engineer. What is DevOps? DevOps stands for development and operations.

DevOps 90

DevOps Engineering Continuous Delivery Systems Administration 90

Altexsoft

JANUARY 14, 2021

Summarized touches upon the fact the data is used for data analytics. It is a home for an OLAP (online analytical processing) server that converts data into a form more suitable for analysis and querying. Scalability opportunities. As such, it is possible to retrieve old archived data if needed. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

RapidValue

SEPTEMBER 30, 2019

The Shift of Focus From CI Pipelines to DevOps Assembly Lines. The ultimate goal of DevOps is to improve collaboration between all stakeholders from planning through delivery and automation of the delivery process. The DevOps movement has created a mindset that encourages better collaboration and automation. Native integrations.

DevOps 60

DevOps Continuous Delivery Continuous Integration Testing 60

Perficient

MAY 13, 2024

Introduction Azure DevOps is a complete collection of tools and services that assist in the development, testing, and deployment of software applications. In this beginner’s guide, we’ll take a look at how to set up Azure DevOps, create projects, familiarize yourself with the interface, and understand the various sections.

Azure 52

Azure DevOps Testing Software Development 52

The Citus Data

MARCH 31, 2023

To put a number to it, either 12 (or 13) of the 37 talks—approximately ~32%—are about the Citus extension to Postgres. :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 84

Azure Open Source Virtualization Software Engineering 84

Xebia

AUGUST 15, 2023

These contracts establish a foundation for building robust and scalable data solutions. dbt for the rescue For the past years, dbt is becoming a must-have for data transformation in the Modern Data Stack (and also one of my favorite tools), being a leader in the Analytics Engineer domain. We are all set!

Data 130

Data Software Review Testing Cloud 130

Datavail

APRIL 20, 2022

App modernization also makes it easier for your organization to follow best practices and methodologies for software development, such as agile and DevOps. Greater scalability and distributed processing. App modernization projects can make your legacy technology significantly more scalable and enable distributed processing.

Microservices 52

Microservices Azure .Net Scalability 52

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. But, generally the unambiguous benefits of serverless architecture are: Lower costs and scalability. Azure Functions by Microsoft. GCF calculator.

Serverless 68

Serverless Azure AWS Architecture 68

The Citus Data

DECEMBER 11, 2021

This post is a deep dive into how the UK Coronavirus analytics dashboard came to be, and why it’s architected the way it’s architected. In June of 2020, Pouria’s team was in the midst of architecting and evolving a more scalable system to power the application.

Azure 88

Azure Open Source Software Review Analytics 88

Capgemini

JANUARY 13, 2022

CGS Managed Services has worked with this agency to implement an asset data aggregation and analytics system to track the condition assessments and health score of various transmission assets for maintenance optimization, investment planning and asset failure prevention using the MuleSoft Anypoint platform.

Minimum Viable Product 52

Minimum Viable Product Technical Review Azure Government 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Perficient

JANUARY 27, 2023

These tools help build security into the entire development lifecycle and eliminate the silos between DevOps and security. Scalability: Clair is designed to scale to handle large numbers of images and can handle thousands of images in a single scan. These include Jenkins, GitLab, Bamboo, and Azure DevOps.

Tools 111

Tools Software Review Open Source SDLC 111

Xebia

JANUARY 25, 2023

The successful revolution and evolution of GitOps practices in mainstream enterprises stem from the ability to give teams a process to streamline their unique paradigms and sets of practices, with the sole intention of producing more efficient integration, testing, delivery, deployment, analytics, and governance of code.

Azure 130

Azure Architecture Systems Review Software Review 130

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. They pay for it as they need it. Cloud computing definition.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Savings opportunity on Azure. Cloud-Native Design Patterns.

Storage 95

Storage Azure Technical Review Database Administration 95

Palo Alto Networks

AUGUST 23, 2021

We wanted to provide a modern cloud-based platform leveraging the latest in machine learning, analytics and automation to fight the many cyber attacks businesses face every day. The new platform also integrates a rich set of identity data sources and built-in analytics to address a variety of identity-based threats. .

Cloud 93

Cloud Machine Learning Artificial Inteligence Analytics 93

Mobilunity

MAY 20, 2021

Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Microsoft Azure. It is not so easy to hire a cloud engineer locally. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Mobilunity

JULY 5, 2021

Whether you choose Google, Amazon, or Azure cloud managed services , the key is customization. Here are the main platforms to choose from: Azure Cloud Managed Services. Cloud managed service provider Azure deals with the cloud by Microsoft. It is scalable, cost-efficient, and functional. High Customization.

Cloud 52

Cloud Comparison Azure AWS 52

Agile Engine

FEBRUARY 20, 2019

Google Cloud, Microsoft Azure, and AWS are some of the biggest brands in machine learning as a service (MLaaS). Microsoft Azure. Azure Blob Storage. Microsoft Azure HDInsight. Stream analytics. Azure Stream Analytics. Azure Kubernetes Service (AKS). Analytics / BI platforms.

Big Data 71

Big Data Google Cloud Data Azure 71

Altexsoft

JUNE 29, 2021

This position requires a solid grasp of statistics, analytics, and reporting methods rather than proficiency in programming languages. To automate and manage ML processes, they develop a scalable system known as a machine learning pipeline. AI engineer on Microsoft Azure. Machine learning engineer vs. data scientist.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Apiumhub

MARCH 16, 2021

Online analytical processing. Predictive analytics. Prescriptive analytics. In healthcare organizations, BI and analytics aid in the diagnosis of diseases and other medical conditions and in efforts to improve patient care and outcomes. Business intelligence use cases. Dashboard development. Data mining. Process mining.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Perficient

MARCH 13, 2023

This is generally a cheaper and more powerful alternative to the native monitoring systems provided by the hyperscalers like CloudWatch and Azure Monitoring. It’s most well-known for autoscaling serverless or event-driven applications backed by tools like Kafka, AMQ, Azure EventHub, etc.

Serverless 83

Serverless Azure Metrics AWS 83

Kaseya

SEPTEMBER 14, 2022

Companies can either transfer their data to public cloud service providers like Microsoft Azure, Google Cloud, or Amazon Web Services (AWS) , set up their private cloud computing environment or create a hybrid environment. Often, companies keep confidential resources and data on-premises and use the cloud for services like analytics.

Strategy 59

Strategy Cloud Software Review Technical Review 59

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Datavail

MARCH 17, 2022

To increase business agility, improve scalability and cut costs, more and more companies are moving their data and applications to the cloud. Lift and shift” migrations don’t enable advantages of the cloud such as access to new cloud services, breaking down traditional business silos and leveraging DevOps and automation. Repurchasing.

Cloud 52

Cloud Weak Development Team Software Review Technical Review 52

Mobilunity

JUNE 30, 2021

Access to almost limitless IT resources; Real-time scalability and flexibility; Greater agility compared to the IT resources on-premises; Cost optimization (pay-as-you-use model); Top-level security (provided by industry leaders). However, the advantages of the migration to the cloud don’t add here and include: Scalability.

Cloud 52

Cloud Google Cloud Disaster Recovery Azure 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

Protera

MAY 23, 2023

For example, if you’re looking to emphasize analytics and business intelligence in your future cloud operations, you want to choose a provider that offers mature solutions in that area. Other areas of focus to this end could include security, performance efficiency, scalability, and of course cost.

Cloud 52

Cloud Testing Data Center Systems Review 52

Palo Alto Networks

JULY 11, 2019

Banking, investment management and FinTech have continually invested in technology upgrades, data analytics and differentiated product offerings in an increasingly competitive and evolving investment landscape. The team was able to better approach cloud security in an efficient, scalable manner.

Cloud 44

Cloud Compliance DevOps Agile 44

CircleCI

SEPTEMBER 7, 2021

Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. Examine your needs, such as scalability, and your expenses, such as overhead, when deciding if IaaS is right for you. You can run your scripts automatically from your DevOps environment. Big data analytics. Platform as a service (PaaS).

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources. Read the 452 Research report on this capability 2.

Cloud 49

Cloud AWS Azure Data Center 49