Linux Academy

FEBRUARY 11, 2019

To reflect the ever-changing nature of these cloud providers and the fact that they launch over 600 updates per year, we know how important it is to practice with these environments in order to stay up-to-date with these changes. Azure cloud console. Google cloud console. And a whole lot more!

Training 60

Training Linux Cloud Google Cloud 60

Hypergrid

SEPTEMBER 5, 2018

At VMworld, we had an amazing team of technical experts that demo’d our intelligent hybrid cloud management platform, HyperCloud. At the booth, we showed you how to run a migration analysis for a comprehensive report of how your environment will look like on any public cloud including AWS, Azure, and/or VMware Cloud (VMC).

Trends 40

Trends Disaster Recovery Azure Cloud 40

ParkMyCloud

AUGUST 28, 2019

Sean Brundle, DevOps Engineer at website development specialist Brainjocks , told us about how his team uses ParkMyCloud to manage cloud and DevOps costs. . Sometimes we host their web sites on our cloud servers using Google Cloud, AWS, or Azure cloud solutions. .

DevOps 9

DevOps Cloud Google Cloud Azure 9

Linux Academy

MAY 30, 2019

AWS, Google Cloud, Azure, Linux, DevOps, and Containers are almost the exact marching path of my organization. ” He brushed off my boasting, but went ahead and took the DevOps Essentials course to see it for himself. The DevOps is useful especially in the NOC where we are heavily focused on the “Ops.”

Training 60

Training Linux AWS CTO Coach 60

Linux Academy

AUGUST 29, 2019

Let’s take a quick look at how to install and configure SQL Server on Linux, whether we’re using a traditional machine, containers, or an Azure SQL VM. In the increasingly DevOps culture, source control has become a foundational skill for any IT Professional. Google Cloud Essentials (NEW). Azure Concepts.

Linux 18

Linux Course AWS Google Cloud 18

Palo Alto Networks

NOVEMBER 7, 2019

While developers and devops enjoy this new-found speed to deliver software and value to customers more quickly, security teams are looking to ensure container pipelines are secure and improve the risk posture of applications when they are deployed. This is a good question, and one we get a lot from developers, devops managers and architects.

Compliance 8

Compliance DevOps SDLC Policies 8

Cloud That

NOVEMBER 28, 2022

Here in this blog, we are going to see how we can do a seamless workload migration with no downtime to a new node pool using GKE (Google Kubernetes Engine). Google Account. In this demo, I have created a new project to keep clarity and resource isolation. Step 2: Activate Cloud Shell. Prerequisites. IAM Role /Admin User.

Authentication 67

Authentication Cloud Google Cloud Engineering 67

Cloud That

NOVEMBER 28, 2022

Here in this blog, we are going to see how we can do a seamless workload migration with no downtime to a new node pool using GKE (Google Kubernetes Engine). Google Account. In this demo, I have created a new project to keep clarity and resource isolation. Step 2: Activate Cloud Shell. Prerequisites. IAM Role /Admin User.

Authentication 52

Authentication Cloud Google Cloud Engineering 52

Apiumhub

OCTOBER 20, 2020

Today, I would like to discuss a DevOps tool: Terraform, which we use a lot in Apiumhub. . As we all know, the target of the DevOps movement is to make code always in a deployable and maintainable state. Software writers can provide a Terraform configuration to create, provision and bootstrap a demo on cloud providers like AWS.

Software Review 52

Software Review Load Balancer DevOps Infrastructure 52

Palo Alto Networks

NOVEMBER 16, 2021

Agentless Security for Flexible Cloud Workload Protection : Providing visibility into an organization’s cloud workload and application risks to complement existing agent-based protection. Cloud Code Security: Shift Security Left to Reduce Misconfigurations. New code security module in Prisma Cloud.

Network 81

Network Cloud Azure Infrastructure 81

ParkMyCloud

APRIL 30, 2020

We speak to enterprises large and small about cloud cost optimization, and one of the more dominant themes we have been hearing lately is: who should manage app development costs? Cloud Operations teams (ITOps, DevOps, FinOps, Cloud Center of Excellence , etc.)

Development 61

Development Guidelines Azure Government 61

Daniel Bryant

SEPTEMBER 13, 2019

being able to deploy each app to multiple clouds), and instead they wanted to leverage different clouds and platforms to meet different requirements e.g. AWS EKS for microservices, Azure functions for event-driven simple batch processing, and Google’s data engineering and machine learning services.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Kaseya

SEPTEMBER 14, 2022

Cloud migration refers to moving company data, applications and other IT resources from on-premises data centers and servers to the cloud. With cloud services gaining popularity, there is also an increasing rise in cloud-to-cloud migrations in which companies move their resources from one cloud service provider to another.

Strategy 59

Strategy Cloud Software Review Technical Review 59

Altexsoft

NOVEMBER 7, 2022

Other tech professionals working with the tool are solution architects , software developers, DevOps specialists, and data scientists. DevOps tasks — for example, creating scheduled backups and restoring data from them. The platform was created by a data engineer — namely, Maxime Beauchemin — for data engineers. Source: Apache Airflow.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

O'Reilly Media - Ideas

JANUARY 25, 2022

AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms. Both “GCP” and “Google Cloud” were in the top 3% of their respective lists. Operations, DevOps, and SRE. That’s not surprising.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Altexsoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64