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

Xebia

APRIL 18, 2023

It’s expected that the reader does have some knowledge about basic cloud concepts, such as VPC and firewall rules, or have the ability to find the documentation for this when needed. The examples will be presented as Google Cloud Platform (GCP) resources, but can in most cases be inferred to other public cloud vendors.

Load Balancer 130

Load Balancer Network Firewall Google Cloud 130

Perficient

JUNE 27, 2024

Logging and performance metrics help identify and resolve issues proactively. Key GCP products used included Cloud Build (Terraform, Jenkins), Cloud SQL, GKE, Data Fusion, and Cloud Storage. Key GCP products used included Apigee, VPC, GKE, Cloud SQL, Pub/Sub, Memory Store, Data Studio, Cloud Storage, and IAM.

Google Cloud 52

Google Cloud Applications Cloud Automotive 52

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

Kentik

JUNE 27, 2023

We designed this new map specifically around Azure hybrid cloud architectural patterns in response to the needs of some of our largest enterprise customers. It includes rich metrics for understanding the volume, path, business context, and performance of flows traveling through Azure network infrastructure.

Azure 105

Azure Cloud Load Balancer Firewall 105

Xebia

DECEMBER 19, 2023

This emphasis on efficient data management stems from the realization that both the processing and storage of data consume energy, consequently contributing to carbon emissions. Establish the aforementioned rules to be executed daily at the storage account level. Within this Storage Account, a container is created.

Software Engineering 130

Software Engineering Sustainability Software Review Engineering 130

Linux Academy

NOVEMBER 6, 2019

Google Cloud Content. Google Cloud Stackdriver Deep Dive. Google Cloud Apigee Certified API Engineer. Google Cloud Certified Professional Cloud Security Engineer. Enable Archiving with Azure Blob Storage. Enabling OpenShift metrics and logging on Azure . Google Labs.

Google Cloud 16

Google Cloud Linux Azure AWS 16

Ivanti

FEBRUARY 18, 2022

The ISA-6000 now includes two 1/10Gbit ports for faster connectivity, fast 6Gb/s solid-state storage, double the RAM of the PSA-5000 series appliance and an onboard TPM chip to ensure software and operating system integrity. Performance metrics are measured in a lab environment using industry-standard performance tools. SSL Mode) *.

Google Cloud 75

Google Cloud Virtualization Hardware Operating System 75

Altexsoft

JUNE 25, 2019

This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Serving as an enterprise’s single source of truth, data warehouse simplifies reporting and analysis, decision making, and metrics forecasting within the organization. Data warehouse storage.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Mobilunity

JANUARY 28, 2025

While companies increasingly rely on cloud services to fuel their operations, the ability to monitor, control, and optimize cloud spending is a moving force of a businesss profitability and scalability. As Statista shows , 65% of companies now prioritize cost efficiency and savings as their primary metrics for assessing cloud progress.

Budget 40

Budget Cloud Tools Weak Development Team 40

ParkMyCloud

JANUARY 17, 2020

Can deploy and define metrics, monitoring and logging systems on AWS. . Intended for individuals that have an expertise in network, compute, security and storage so that they can design solutions that run on Azure. Recommended experience: 6+ months building on Google Cloud. Azure Fundamentals. GCP Certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Perficient

FEBRUARY 21, 2023

Source systems often do not have the computing or storage capacity to perform iterative detailed quality analysis on the data. When run the SQL statements will produce output tables stored in an internal database that contain quality data metrics or results. This tool can produce specific quality results.

Data 108

Data Analysis Analytics Google Cloud 108

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 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Cloudera

APRIL 29, 2021

QueryNiFiReportingTask : this new reporting task allows you to run SQL queries against the internal monitoring data stored by NiFi (metrics, status, bulletins, provenance, etc.) Status History : NiFi now provides Nodes Status History information with many metrics about how the NiFi nodes are performing. NiFi’s user experience.

Cloud 77

Cloud Azure Metrics Google Cloud 77

CircleCI

JULY 27, 2021

A Firebase and Google Cloud platform account. Macrobenchmark library introduces a few new JUnit rules and metrics. The code above takes 3 types of startup metrics: hot, warm, and cold startup as parameterized options. Experience with Gradle. A free CircleCI account. Android Studio Arctic Fox. map { arrayOf(it) } } } }.

Applications 59

Applications Google Cloud Metrics Storage 59

Existek

MARCH 24, 2025

They must track key metrics, analyze user feedback, and evolve the platform to meet customer expectations. Measuring your success with key metrics A great variety of metrics helps your team measure product outcomes and pursue continuous growth strategies.

Development 52

Development How To Technical Review Quality Assurance 52

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

John Snow Labs

APRIL 29, 2025

It also uses a secured on-premises infrastructure to store and manage data on local storage. It offers configurable layouts and seamless integration with your ML/AI pipeline through webhooks, APIs, and cloud storage. Key Features ML-assisted labeling: Automatically suggest labels based on the ML models prediction.

Artificial Inteligence 52

Artificial Inteligence Training Tools Generative AI 52

CIO

NOVEMBER 1, 2022

With four ultra high-performance data centers in South Africa – including facilities in Cape Town, Durban, and Johannesburg – the company forms the core of the nation’s internet backbone, and serves as the interconnection for both local and global cloud services. Silicon Sky specializes in Infrastructure as a Service (IaaS).

Cloud 158

Cloud Data Center Energy Innovation 158

Linux Academy

JUNE 25, 2019

We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. 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?

Linux 60

Linux Course Cloud Google Cloud 60

Cloud That

NOVEMBER 23, 2022

Storing data with Blob Storage & Cosmos DB. Securing Cloud Solutions using Key Vault and App Configuration. Sending and Receiving Messages through Service Bus and Storage Queue. Storing data with Blob Storage & Cosmos DB. Securing Cloud Solutions using Key Vault and App Configuration. TABLE OF CONTENT.

Case Study 71

Case Study Azure Study How To 71

Mobilunity

DECEMBER 5, 2024

Managing the expenses of cloud providers such as AWS, Azure, and Google Cloud has become a major difficulty for modern businesses. This article presents the goal of cloud cost optimization, best practices, such as adjusting resource sizes and utilizing automation and predictive analytics, and effective tools.

Cloud 52

Cloud Strategy Technical Review Database Administration 52

Altexsoft

NOVEMBER 6, 2019

Realtime Database is essentially a NoSQL cloud-storage that can be connected with the application to provide real time access to the data across different platforms. Cloud Storage. Okay Google, another database? Firebase Authentication is a Google Authentication feature tailored for apps using Firebase.

Weak Development Team 16

Weak Development Team Technical Review Software Review Serverless 16

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. The expert also documents problems and how they were addressed and creates metrics reports. AWS CloudFormation , Azure Resource Manager , or Google Cloud Deployment Manager , which are cloud-specific IaC services.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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 Software Review Azure Machine Learning 59

Gorilla Logic

SEPTEMBER 16, 2021

Realizing that every case is different, and what makes a huge impact in some decisions could easily be dismissable for others, our ultimate goal is to provide you with detailed overviews of three cloud provider options so that you are well-equipped to choose the one that best aligns with your unique objectives. Google Cloud.

Serverless 70

Serverless Lambda Cloud Azure 70

Confluent

SEPTEMBER 20, 2019

A distributed streaming platform combines reliable and scalable messaging, storage, and processing capabilities into a single, unified platform that unlocks use cases other technologies individually can’t. In the same way, messaging technologies don’t have storage, thus they cannot handle past data.

Software Review 21

Software Review Technical Review Storage Cloud 21

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.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Altexsoft

OCTOBER 27, 2020

As we mentioned before, usually DevOps projects deal with cloud infrastructure. The most prominent cloud infrastructure providers are: Amazon Web Services. Google Cloud Platform. Oracle Cloud Platform. The metrics can be queried and visualized via a dedicated interface, Grafana. Microsoft Azure.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

TIBCO - Connected Intelligence

SEPTEMBER 24, 2020

release is primarily focused on four main aspects: flexible design, cloud-native deployments, metrics & visualization of events, and performance improvements. Quickly moving from a trend to a necessity, being cloud-native has become an integral part of every enterprise business running in the IT industry. Flexible Design.

Cloud 49

Cloud Open Source Google Cloud Metrics 49

Altexsoft

MAY 12, 2023

We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository. Scalability.

Examples 59

Examples Tools Data Artificial Inteligence 59

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. Data sources may be internal (databases, CRM, ERP, CMS, tools like Google Analytics or Excel) or external (order confirmation from suppliers, reviews from social media sites, public dataset repositories, etc.).

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Altexsoft

NOVEMBER 6, 2019

Realtime Database is essentially a NoSQL cloud-storage that can be connected with the application to provide real time access to the data across different platforms. Cloud Storage. Okay Google, another database? Firebase Authentication is a Google Authentication feature tailored for apps using Firebase.

Weak Development Team 14

Weak Development Team Technical Review Software Review Serverless 14

Tenable

SEPTEMBER 26, 2024

Over the last few years, we at Tenable’s Infosec team have encountered a number of cloud security challenges and have learned valuable lessons about how to develop an effective cloud security program. Like many of our customers, we’ve asked a lot of questions around responsibilities, remediation, metrics and reporting.

Programming 76

Programming Cloud Systems Review Compliance 76

Altexsoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. The performance consists of two main metrics — throughput and latency.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Modus Create

JUNE 20, 2023

You don’t have to provision servers to run apps, storage systems, or databases at any scale. Technically, serverless isn’t really “server less” as there are still servers that run your application, but they are managed by your cloud provider (read: out of sight, out of mind.) billion in value.

Trends 75

Trends Development Serverless Technical Review 75

Hypergrid

NOVEMBER 15, 2018

gives organizations the ability to easily monitor all the metrics required (invocations, error-rate, memory thresholds and several others) and right-size their Lambda functions for maximum efficiency. We also monitor the required metrics at a function level to ensure continuous compliance with AWS and organizational security best practices.

Disaster Recovery 56

Disaster Recovery Cloud Lambda Azure 56