TechCrunch

MARCH 1, 2023

With Strapi Cloud, developers don’t have to manage their own servers as the company handles hosting for you. If you’re not familiar with Strapi, the company has developed one of the leading open-source headless CMS. With Strapi Cloud, small and medium companies can choose to pay Strapi to host their instance.

Cloud 247

Cloud Google Cloud Storage Architecture 247

TechCrunch

FEBRUARY 18, 2022

For those who need a refresher on Kubernetes, it is an open source container project created by Google in 2014 to automate, monitor and run applications. The company’s core product is open source and freely available for teams, something Brown said will always be true.

Development 252

Development Open Source Data Google Cloud 252

Dzone - DevOps

FEBRUARY 9, 2023

Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. Alluxio is an open-source data orchestration platform for large-scale analytics and AI.

Open Source 79

Open Source Google Cloud Storage Analytics 79

Tenable

JULY 19, 2024

Plus, the Cloud Security Alliance has given its cloud security guidance a major revamping. Meanwhile, a Google report puts a spotlight on insecure credentials. And the latest on open source security, CIS Benchmarks and much more! Dive into six things that are top of mind for the week ending July 19.

Weak Development Team 81

Weak Development Team Cloud Report Software Review 81

TechCrunch

NOVEMBER 22, 2021

Goel added that many of its customers host popular open-source projects like Elasticsearch, MySQL and MongoDB on Render as an alternative to expensive managed versions of these services, because Render has simplified the process of managing such projects.

DevOps 221

DevOps Cloud Azure Google Cloud 221

CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 299

Tools Cloud AWS Off-The-Shelf 299

Dzone - DevOps

SEPTEMBER 13, 2023

Projectsveltos, Crossplane, and ClusterAPI are three open-source projects that can be used together to simplify the management of Kubernetes clusters. ClusterAPI runs in a management cluster and can be used to manage clusters hosted on various infrastructure providers, including on-premises, public clouds, and edge computing platforms.

Cloud 81

Cloud Open Source Google Cloud Infrastructure 81

d2iq

JANUARY 17, 2023

To do so, D2iQ engineers take pains to create a Kubernetes platform that is based on the best design principles and open-source components. The automation services integrated within DKP are best-of-breed components that are carefully selected from within the open-source community.

Cloud 83

Cloud Google Cloud Open Source Azure 83

Netlify

FEBRUARY 24, 2020

Recently, Gatsby introduced powerful open source features that allow massive build speed improvements for sites with lots of images. Taking advantage of those features, Matt Biilmann set up parallel image processing for Gatsby using Google Cloud and open sourced it as gatsby-parallel-runner.

Google Cloud 106

Google Cloud Storage Cloud Open Source 106

TechCrunch

JULY 30, 2021

When they want to move to Amazon Web Services, Google Cloud or DigitalOcean, Porter will be that bridge, Shim said. Porter’s platform went live in February, and in six months became the sixth-fastest growing open-source platform download on GitHub, said Ethan Batraski, partner at Venrock. Why Heroku?

Technical Review 249

Technical Review Cloud Google Cloud DevOps 249

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

JUNE 5, 2023

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. Congratulations Vince!

Technical Review 75

Technical Review Google Cloud Software Review Part-Time VPE 75

ParkMyCloud

JULY 15, 2020

Whether you’re new to public cloud altogether or already use one provider and are interested in trying another, you may be interested in a comparison of the AWS vs Azure vs Google free tier. Google Cloud Free Tier Offerings. Amazon S3 Storage: 5GB of standard storage. Free Tier Limitations. micro or t3.micro

Azure 60

Azure Comparison AWS Google Cloud 60

Prisma Clud

OCTOBER 7, 2024

With smooth communication between newer and older versions of Prisma Cloud, you gain upgrade flexibility and can adopt the latest Prisma Cloud features while ensuring continuous support for your current setup — and without interrupting workflows.

Innovation 59

Innovation Cloud Load Balancer AWS 59

Xebia

JANUARY 9, 2024

Let’s imagine we are running dbt as a container within a cloud run job (a cloud-native container runtime within Google Cloud). Every morning when all the raw source data is ingested, we spin up a container via a trigger to do our daily data transformation workload using dbt. target directory of your dbt project.

Testing 130

Testing Data Open Source Applications 130

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! This holds true in our 5.1

Artificial Inteligence 98

Artificial Inteligence Azure Sport Storage 98

Instaclustr

SEPTEMBER 20, 2024

E nterprises of all shapes, sizes , and industries are increasingly turning to managed open source platforms to simplify their operations, enhance their capabilities , and build reliable applications at scale. This adaptability ensures that you can leverage the best of both worlds without compromising on performance or reliability.

Enterprise 28

Enterprise Open Source Azure Infrastructure 28

Perficient

FEBRUARY 21, 2023

Source systems often do not have the computing or storage capacity to perform iterative detailed quality analysis on the data. Pandas profiling is an open-source Python module that can quickly do exploratory data analysis with just a few lines of code.

Data 108

Data Analysis Analytics Google Cloud 108

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Hadoop distributed file system or HDFS is a data storage technology designed to handle gigabytes to terabytes or even petabytes of data. What is Hadoop? Cost efficiency.

Big Data 59

Big Data Data Google Cloud Open Source 59

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud computing definition. Cloud computing – How does it work? The cost of cloud storage varies depending on your needs. For more storage, you must pay a price.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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. Linux Operating System Fundamentals.

Linux 104

Linux Course AWS Google Cloud 104

O'Reilly Media - Ideas

OCTOBER 5, 2021

Kubescape is an open source tool to test whether Kubernetes has been deployed securely. Google Cloud has introduced Supply Chain Twin, a “digital twin ” service for supply chain management. Open VSCodeServer is an open source project that allows VSCode to run on a remote machine and be accessed through a web browser.

Trends 120

Trends Open Source Artificial Inteligence Study 120

Exadel

FEBRUARY 20, 2023

Amazon For Cloud Artificial Intelligence Amazon began by making storage and virtual machines. More was yet to come for AI in the cloud. Let’s race through these vendors and see what they’re up to. Want to get maximum value from AI for your business? Request an AI proof of concept consultation!

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Perficient

JULY 3, 2023

One challenge that needs to be addressed in planning for data migration is the need for continuous data ingestion in cloud storage. One of the most reliable ETL tools to address this need is Striim which can be used to move data from an existing data center to the Google Cloud Platform. For that, you need to activate it.

Cloud 52

Cloud Data Google Cloud How To 52

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. Hortonworks has a strong support model and commitment to open source for large organizations, enabling it to be the chosen provider of service for ATB.

Big Data 66

Big Data Analytics Google Cloud Cloud 66

O'Reilly Media - Ideas

JUNE 6, 2023

Codey will be accessible through Visual Studio, Jet Brains, and other IDEs, in addition to Google Cloud products such as Vertex. Mosaic has released MPT-7B, an open-source family of large language models that allows commercial use. The Solid project is developing a specification for decentralized data storage.

Artificial Inteligence 91

Artificial Inteligence Trends Open Source ChatGPT 91

CircleCI

JULY 29, 2020

Before we start, we’ll first need to create accounts in target cloud providers and services such as Google Cloud and Terraform Cloud. Once you have completed the Prerequisites below, we’ll start by learning how to use Terraform to create a new Google Kubernetes Engine (GKE) cluster. Create a Google Cloud project.

Infrastructure 123

Infrastructure Google Cloud Resources Cloud 123

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! This holds true in our 5.1

Artificial Inteligence 52

Artificial Inteligence Azure Sport Storage 52

Altexsoft

FEBRUARY 24, 2023

Kubernetes or K8s for short is an open-source platform to deploy and orchestrate a large number of containers — packages of software, with all dependencies, libraries, and other elements necessary to execute it, no matter the environment. Source: Dynatrace What auxiliary processes do companies entrust to the orchestrator?

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Codegiant

JANUARY 8, 2024

Prerequisites To successfully deploy an application to Google Kubernetes Engine (GKE) using Codegiant, the following prerequisites are required: Google Cloud Platform (GCP) Account : A GCP account is necessary as GKE is a part of Google Cloud's services. codegiant-cicd) and provide a brief description.

Engineering 52

Engineering Google Cloud Applications Authentication 52

Codegiant

JANUARY 8, 2024

Prerequisites To successfully deploy an application to Google Kubernetes Engine (GKE) using Codegiant, the following prerequisites are required: Google Cloud Platform (GCP) Account : A GCP account is necessary as GKE is a part of Google Cloud's services. codegiant-cicd) and provide a brief description.

Engineering 52

Engineering Google Cloud Applications Authentication 52

Linux Academy

APRIL 30, 2019

You learn the basic knowledge of computer hardware, gain an understanding of open-source applications in the workplace, and learn to navigate systems on a Linux desktop, as well as rudimentary commands to navigate the Linux command line. Are you a non-technical person just wanting to know what this “Linux” thing is?

Linux 113

Linux AWS Big Data Course 113

Linux Academy

JUNE 25, 2019

Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud? Why do we use Google Cloud? We’ll provide a simple introduction to the concepts of Cloud Computing, Google Cloud Platform, and it’s core services.

Linux 60

Linux Course Cloud Google Cloud 60

Existek

JUNE 20, 2023

It continued expanding beyond databases and authentication to include services like Firebase Cloud Messaging, Firebase Hosting, Firebase Storage, Firebase Analytics, Firebase Performance Monitoring, etc. Firebase offers cloud storage for storing and serving user-generated content such as images, videos, and other files.

Technical Review 52

Technical Review Software Review Authentication Scalability 52

Altexsoft

JULY 1, 2021

Data scientists and machine learning engineers can use Azure ML to deploy their workloads in the cloud, distribute training across cloud resources, deploy machine learning models to production, and scale them as needed. Google Cloud ML. Automated backups— facilitates database management and data storage.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Altexsoft

APRIL 26, 2022

The data journey from different source systems to a warehouse commonly happens in two ways — ETL and ELT. The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. As such, it is considered cloud-agnostic. Database storage layer.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59