OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

Linux Academy

NOVEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Free Essentials Courses. DevSecOps Essentials.

Linux 104

Linux Course AWS Google Cloud 104

CIO

JULY 13, 2022

Universal Data Movement Use Cases with Streaming as First-Class Citizen : The service needs to address the entire diversity of data movement use cases: continuous/streaming, batch, event-driven, edge, and microservices. In subsequent blogs, we’ll deep dive into some of these use cases and discuss how they are implemented using CDF-PC. .

System 155

System Enterprise Data Cloud 155

ParkMyCloud

JUNE 20, 2019

Azure AKS manages your hosted Kubernetes environment, making it simple to deploy and manage containerized applications without container orchestration expertise, divesting much of that responsibility to Azure – much like EKS and GKE do for AWS and Google Cloud. The Next Evolution of Cloud Management: Container Management.

Azure 62

Azure Microservices Google Cloud IoT 62

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. Ansible , Puppet , and Chef working with both physical and cloud environments; Terraform — a platform-agnostic solution for cloud infrastructures; and. Architecting with Google Compute Engine Specialization.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Linux Academy

MAY 28, 2019

To use Docker Compose to deploy Microservices to Docker. 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

Modus Create

MAY 15, 2023

Keyword searches for serverless | source: Google Trends Serverless architecture allows developers to create products without managing the underlying infrastructure. You don’t have to manage servers to run apps, storage systems, or databases at any scale. And serverless is the natural step in cloud evolution.

Serverless 98

Serverless Lambda AWS Architecture 98

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. We will discuss what Kubernetes is and what it does, and we will work with some of the basic functionality of Kubernetes hands-on.

Linux 113

Linux AWS Big Data Course 113

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. You can reduce risk by addressing these eight common cloud security vulnerabilities and misconfigurations.

Applications 52

Applications Cloud Software Review Systems Review 52

Cloudera

JUNE 2, 2022

Universal Data Movement Use Cases with Streaming as First-Class Citizen : The service needs to address the entire diversity of data movement use cases: continuous/streaming, batch, event-driven, edge, and microservices. In subsequent blogs, we’ll deep dive into some of these use cases and discuss how they are implemented using CDF-PC. .

System 99

System Enterprise Data Cloud 99

Abhishek Tiwari

JULY 22, 2023

For instance, terraform-compliance can enforce that all AWS EC2 instances have specific tags defined or that all Google Cloud resources have encryption enabled. Sentinel policies are written to enforce rules such as: Requiring encryption for all Amazon S3 buckets and Azure Blob Storage containers.

Policies 52

Policies Compliance Software Review AWS 52

O'Reilly Media - Ideas

APRIL 30, 2019

By Roger Magoulas and Nikki McDonald --> Driven by the need for agility, scaling, and resiliency, organizations have spent more than a decade moving from “trying out the cloud” to a deeper, more sustained commitment to the cloud, including adopting cloud native infrastructure. AWS, Azure, and Google Cloud (15%).

Infrastructure 104

Infrastructure Cloud Company Survey 104

Altexsoft

JUNE 29, 2021

It is common in designing apps that rely on microservices (when every service runs its own process.). While there may be a greater number of microservices involved in the process, we’ll cover the three key ones. Moreover, creating a functional event-driven architecture requires complementary services, say, cloud data storages.

Architecture 75

Architecture Microservices IoT Scalability 75

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. We will discuss what Kubernetes is and what it does, and we will work with some of the basic functionality of Kubernetes hands-on.

Linux 60

Linux AWS Big Data Course 60

Linux Academy

JANUARY 1, 2020

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Free Essentials Courses. DevSecOps Essentials.

Linux 31

Linux Course AWS Google Cloud 31

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Linux Academy

JANUARY 30, 2020

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Free Essentials Courses. DevSecOps Essentials.

Linux 29

Linux Course AWS Google Cloud 29

Linux Academy

DECEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Free Essentials Courses. DevSecOps Essentials.

Linux 26

Linux Course AWS Google Cloud 26

Capgemini

FEBRUARY 3, 2023

‘CAPGEMINI EARTHLINGS ECOPRENEUR’ PLATFORM EMPOWERs EMPLOYEES TOWARDS REACHING NET ZERO GOALS- POWERED BY GOOGLE CLOUD Tamalika Chakraborty/ Shoubhik Ghosh/ Debasish Rakshit 3 Feb 2023 Facebook Twitter Linkedin Capgemini is committed to be carbon neutral for its own operations and be a net zero business by 2030.

Google Cloud 52

Google Cloud .Net KPI Cloud 52

ParkMyCloud

FEBRUARY 20, 2020

They are suited for scale-out workloads such as web servers, containerized microservices , caching fleets, distributed data stores, and development environments. Storage Optimize. Looking for info on the other cloud providers? Google Cloud Machine Types. Mnemonic: a is for Arm processor. F1 instance type.

Comparison 71

Comparison How To AWS Machine Learning 71

Linux Academy

SEPTEMBER 30, 2019

Google Cloud Functions is a serverless, event-driven, managed platform for building and connecting cloud services. It’s a code-centric service where the functions you write can be triggered by an HTTP request or any number of cloud events—both on and off Google Cloud. Google Cloud Essentials (NEW).

Linux 22

Linux Course Serverless Google Cloud 22

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. Security for hybrid containerized workloads: Anthos (formerly Cloud Services Platform) lets you build and manage modern hybrid applications.

Google Cloud 45

Google Cloud Network Cloud Load Balancer 45

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. Security for hybrid containerized workloads: Anthos (formerly Cloud Services Platform) lets you build and manage modern hybrid applications.

Google Cloud 40

Google Cloud Network Cloud Load Balancer 40

Linux Academy

NOVEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. Free Essentials Courses. DevSecOps Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Perficient

JULY 20, 2023

One of the most important design decisions when configuring autoscaling is selecting the right metrics to use for the scaling rules – each system is unique, and while some applications may require heavy compute, others may need more memory or storage to operate efficiently. Docker) allows for better resource utilization.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Kentik

APRIL 11, 2016

So in 2010 Google one-upped Hadoop, publishing a white paper titled “Dremel: Interactive Analysis of Web-Scale Datasets.” Subsequently exposed as the BigQuery service within Google Cloud, Dremel is an alternative big data technology explicitly designed for blazingly fast ad hoc queries.

Big Data 40

Big Data Analytics Network Architecture 40

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. Smaller teams with simple configurations can probably get by with the stock services of the cloud companies. Cost containment is a big issue for many CIOs now and the cloud companies know it.

Tools 284

Tools Cloud Artificial Inteligence Artificial Intelligence 284

Linux Academy

AUGUST 29, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). YAML is a popular choice for data storage, configuration files, configurations management, etc. If you have ever wondered: What is the cloud?

Linux 18

Linux Course AWS Google Cloud 18

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.

Trends 114

Trends Technical Review Technology Artificial Inteligence 114

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. These workloads, and the cloud environments they’re in, change rapidly.

Cloud 52

Cloud Microservices Firewall Compliance 52

O'Reilly Media - Ideas

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. More than half of respondents use multiple cloud services. • More than half of respondent organizations use microservices.

Cloud 143

Cloud Microservices Serverless Survey 143

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.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

iTexico

OCTOBER 1, 2021

I nstead of having your own data center and buying several servers, we have the opportunity to pay a cloud provider like AWS, Azure, or Google Cloud. These resources include tools and applications like data storage, servers, databases, networking, and software. Types of Cloud.

Examples 52

Examples Cloud Virtualization AWS 52

Confluent

MAY 22, 2019

Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. Stage three is the ongoing use of that data stored in a persistent storage system. What follows is an example of such a system, using existing best-in-class technologies.

IoT 97

IoT Google Cloud Scalability Microservices 97

Kentik

MAY 14, 2019

One major cloud advantage is the agility of adopting cloud-native architecture including containers/microservices. Last summer, we started with a Google Cloud Platform (GCP) integration by adding GCP VPC Flow Logs as one of the data sources (see our GCP VPC Flow Logs blog post and GCP solution brief for more detail).

Cloud 103

Cloud Azure How To AWS 103

Trigent

SEPTEMBER 26, 2021

All you need is a cohesive cloud strategy to realize its business value fully. The modern regulatory framework requires enterprises to comply with stringent privacy, security, and regulatory standards in regards to the capture, storage, and sharing of customer data. Choosing the right cloud deployment and service models.

Cloud 52

Cloud Enterprise Banking Off-The-Shelf 52