DevOps.com

APRIL 25, 2019

Data analytics is about to become a whole lot easier. Google’s annual Google Cloud Next conference brought plenty of new announcements and innovations. Partners of the tech titan such as Fivetran, DataStax and Hammerspace are bringing unprecedented data capabilities to the Google Cloud Platform […].

Google Cloud 89

Google Cloud Big Data Cloud Data 89

CIO

SEPTEMBER 2, 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

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

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

CIO

JUNE 16, 2023

“Our cloud journey continues to mature,” says Vaughan, who decided to modernize 75% of MoneyGram’s microservices in Kubernetes but not all applications out of the gate. Still, more than 90% of the company’s workloads are running on Google Cloud Platform and AWS. We’ve made a little progress, but we’re still toddlers.”

Retail 246

Retail Microservices Analytics Fintech 246

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps. MLOps vs DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

JULY 18, 2022

Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data. Analytics, CIO 100, Data Management

Data 354

Data Banking Nonprofit Azure 354

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

OCTOBER 27, 2020

What Amazon did became a defining factor for DevOps , a set of software development and IT operations practices. The principles of DevOps became widely adopted, as it closely relates to a well-known Agile and basically serves as it’s extension. What is DevOps: processes and practices. What is DevOps: processes and practices.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

Dzone - DevOps

FEBRUARY 9, 2023

Trino was designed to handle data warehousing, ETL, and interactive analytics by large amounts of data and producing reports. Alluxio is an open-source data orchestration platform for large-scale analytics and AI.

Open Source 90

Open Source Google Cloud Storage Analytics 90

Mobilunity

JUNE 23, 2021

DevOps IaC services refer to a specific approach to IT infrastructure management. We’ll also cover the roles and responsibilities of DevOps IaC developers. It ensures that DevOps procedures are free of errors and can be redeployed on multiple servers. How Is IaC Related to DevOps? What IaC Is and How It Is Used.

Software Review 59

Software Review DevOps Infrastructure Software Development 59

Kentik

JULY 24, 2018

This loss of visibility and traditional tooling — “going dark” — was an unfortunate but required tradeoff when moving to the cloud. Google recently announced the availability of VPC Flow Logs for the Google Cloud Platform which provide detailed, real-time telemetry of network activity within and between VPCs inside GCP projects.

Google Cloud 45

Google Cloud Cloud Data Center Internet 45

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Job sites are exploding with employers looking for professionals with DevOps skills and experience. How can you make sure you have the sought-after DevOps skills to succeed in your current or future position?

Course 60

Course DevOps Training Linux 60

DevOps.com

JANUARY 27, 2023

Once a niche element of data engineering, streaming data is the new normal—more than 80% of Fortune 100 companies have adopted Apache Kafka, the most common streaming platform, and every major cloud provider (AWS, Google Cloud Platform and Microsoft Azure) has launched its own streaming service.

Data 123

Data Google Cloud Azure AWS 123

Altexsoft

JULY 4, 2022

Besides that, infrastructure experts collaborate with development teams — specifically, with DevOps or site responsibility engineers (SREs) and quality assurance engineers. Agile and DevOps methodologies. More and more tech companies adopt agile and DevOps principles and practices which influence their infrastructure.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Battery Ventures

OCTOBER 7, 2020

This has all translated into some prominent initial-public offerings for cloud-native companies this year—deals few could have imagined during the initial shock of the pandemic in March and April. Today, we delve deeper into these topics in our “State of the Cloud 2020” report.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Linux Academy

MAY 28, 2019

Google Cloud Essentials – This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanations of all major services – what they are, their use cases, and how to use them.

Linux 104

Linux AWS Azure Technical Review 104

Linux Academy

APRIL 30, 2019

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. DevOps Essentials – This course provides a basic introduction to the concept of DevOps.

Linux 113

Linux AWS Big Data Course 113

Prisma Clud

AUGUST 23, 2023

Depicted by Gartner, “CIEM capabilities help enterprises manage cloud access risks via administration-time preventive controls for the governance of entitlements in hybrid and multicloud infrastructure as a service (IaaS) and platform as a service (PaaS). Leading CIEM capabilities enforce least-privilege policies and remediate violations.”

Innovation 52

Innovation Report Software Review Infrastructure 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. It also minimizes unplanned outages, which may disrupt businesses dependent on event streaming and real-time analytics.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Perficient

MAY 9, 2023

If done well, this is where your organization achieves true cloud maturity and is on its way to unlocking the incredible innovation possible with modern cloud, including data & analytics, AI / ML and automation – and lowering capital investments in data centers, support vendors and licensing commitments.

Enterprise 116

Enterprise Cloud Weak Development Team Quality Assurance 116

Agile Engine

FEBRUARY 20, 2019

As Dieter Bohn from the Verge pointed out, nowadays, Google can’t string five words together without saying “AI”. Google Cloud, Microsoft Azure, and AWS are some of the biggest brands in machine learning as a service (MLaaS). Cloud EDW (Data Warehouse). Google BigQuery. Google Cloud Storage.

Big Data 71

Big Data Google Cloud Data Azure 71

Mobilunity

MAY 20, 2021

As mentioned before, there are different cloud providers with their specific platforms. It means that a Google cloud certified associate cloud engineer can work with GCP but probably won’t be any good with AWS or Azure. Google’s platform is in third place, with 49% of enterprises using it in 2021. Alibaba Cloud.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Mobilunity

JULY 14, 2021

Whether you have just migrated to the cloud or have been using cloud features for some time, cloud optimization is a crucial next step and continuous effort to ensure you get the maximum benefits from cloud solutions and pay for what you need and actually use for your business. Understand the context. Measure performance.

Resources 52

Resources Storage Cloud DevOps 52

Linux Academy

FEBRUARY 26, 2019

Google Cloud Essentials — This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanation of all major services (what they are, their use cases, and how to use them).

Linux 80

Linux AWS Big Data Course 80

Apiumhub

MARCH 12, 2024

Implementation: Implementing BeyondCorp principles using identity and access management tools, such as Google Cloud Identity-Aware Proxy or Microsoft Azure Active Directory Conditional Access. AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security.

Trends 52

Trends Innovation Cloud Serverless 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

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. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Systems Review 115

d2iq

FEBRUARY 6, 2023

The solution uses state-of-the-art cloud technologies, the Kubernetes ecosystem that enables automation of operational tasks based on containerization of applications, and the open-source vender-neutral Dicoogle PACs application.GE In “ Building the solar plant of the future with cloud technologies ,” Daniele Polencic of learnk8s.io

Blockchain 64

Blockchain Healthcare Artificial Inteligence Energy 64

Prisma Clud

DECEMBER 12, 2023

Rather than petitioning a centralized IT team to allocate resources for a new data initiative, smaller dev or analytics teams can spin up new cloud resources and start filling them with data. Data democratization and business agility implicitly encourage shadow data.

Data 52

Data Storage Cloud Compliance 52

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Private cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Xebia

JANUARY 19, 2023

Understand the cultural foundations of Agile, DevOps, and DataOps. – Google DevOps tech architecture guide For software architecture, a loosely coupled system has the following properties: Systems are broken into small components. A data engineer should: Know how to communicate with non-technical and technical people.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Linux Academy

APRIL 29, 2019

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. DevOps Essentials – This course provides a basic introduction to the concept of DevOps.

Linux 60

Linux AWS Big Data Course 60

Kentik

MAY 29, 2019

Kubernetes and Docker are increasingly familiar to DevOps and SRE teams, but still relatively unfamiliar to network teams even though the network interactions are complex. Learn more about Kentik’s network visibility capabilities here, or request a personalized demo of our network monitoring and analytics solution.

Network 75

Network Load Balancer Technical Review Firewall 75

Lacework

SEPTEMBER 28, 2022

Here are the primary ones to consider: Microservices : These offer increased flexibility at runtime and better resource utilization efficiency, but the need to manage every microservice in a cloud app can quickly up your complexity level. This can correlate and log activity among containers, users, and applications. Serverless monitoring.

Cloud 52

Cloud Microservices Firewall Compliance 52

UruIT

APRIL 27, 2020

Grants support for carrying out data and analytics tasks; . Google Cloud . Microsoft’s set of tools for ML includes Azure Machine Learning (including Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory. Pricing: try it out free for 12-months.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78