CircleCI

NOVEMBER 18, 2021

AIOps uses machine learning and big data to assist IT operations. However, the security challenges introduced by big data and software at scale are tangible. DevOps vs AIOps. However, AIOps is not here to replace DevOps or even compete with it. How to incorporate AIOps into your DevOps practice.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

CircleCI

SEPTEMBER 7, 2021

Serverless. One cloud offering that does not exist on premises is serverless. Serverless is a bit of a misnomer, as it definitely involves servers. Serverless is cost-effective (often free), and scales easily. Serverless often has some startup delay, too, but it is still a powerful tool in your cloud toolbox.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Linux Academy

MAY 29, 2019

A couple of years ago, I wrote a post called “ 116 Hands-On Labs and Counting ” and today we have over 750 Hands-On Labs across 10 content categories — Linux, AWS, Azure, Big Data, Cloud, Containers, DevOps, Google Cloud, OpenStack, and Security. Viewing and Sorting Data in MySQL. Launch Lab ?. Launch Lab ?.

Linux 68

Linux Serverless Google Cloud Lambda 68

RapidValue

AUGUST 18, 2019

The ability to deploy applications in the cloud and the move to agile and DevOps methodologies has improved both scale and speed. DevOps (integrating development and IT operations) has helped with more frequent feature releases and significantly, increased application stability. This has helped to improve application development.

Games 50

Games Microservices DevOps Open Source 50

RapidValue

FEBRUARY 18, 2021

The Cloud-Native stack includes Serverless Computing , Containerization, and Orchestration Platforms. The Flexera 2020 State of the Cloud report named Serverless as one of the top five fastest-growing PaaS Cloud services. Another very significant Cloud-Native capability is Containerization.

Trends 98

Trends Cloud Artificial Intelligence Artificial Inteligence 98

Linux Academy

SEPTEMBER 30, 2019

The course will begin with the installation of a MySQL server, then cover common administrative tasks like creating databases and tables, inserting and viewing data, and running backups for recovery. We will also cover the different data types that are allowed in MySQL, and discuss user access and privileges. Big Data Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

Linux Academy

APRIL 9, 2019

AWS Certified DevOps Engineer – Professional Level. AWS Certified Big Data. AWS Certified DevOps Engineer – Professional. But apart from the Specialty AWS certifications, most people would say that the AWS CSA Professional Level exam is the hardest, with the Certified DevOps Engineer second in line.

AWS 60

AWS DevOps Architecture Scalability 60

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

The Citus Data

MARCH 31, 2023

(EMEA livestream, Citus team, Citus performance, benchmarking, HammerDB, PostgreSQL) 2 Azure Cosmos DB for PostgreSQL talks (aka Citus on Azure) Auto scaling Azure Cosmos DB for PostgreSQL with Citus, Grafana, & Azure Serverless , by Lucas Borges Fernandes, a software engineer at Microsoft. (on-demand

Azure 85

Azure Open Source Virtualization Software Engineering 85

O'Reilly Media - Ideas

DECEMBER 5, 2018

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Creating Serverless APIs with AWS Lambda and API Gateway , January 8. DevOps Toolkit , January 28-29.

Artificial Inteligence 101

Artificial Inteligence Course Training Blockchain 101

RapidValue

OCTOBER 12, 2020

Some of the key AWS tools and components which are used to build Microservices-based architecture include: Computing power – AWS EC2 Elastic Container Service and AWS Lambda Serverless Computing. DevOps and CI/CD – Amazon Container Image Repository (Amazon ECR) and other DevOps tools for enabling CI/CD workflows.

Microservices 53

Microservices AWS Architecture Applications 53

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Altexsoft

JULY 4, 2022

In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. Agile and DevOps methodologies. Most common duties of an infrastructure engineer.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

RapidValue

AUGUST 4, 2020

Managing the cost variables like Reserved Instances (RIs), upfront payment and storage types are critical for successful IT, DevOps, Security, and Finance teams. Using serverless computing services, such as AWS Lambda, take away the need for developers or other IT staff to configure or manage cloud instances.

Cloud 92

Cloud How To Azure AWS 92

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 57

Course Artificial Inteligence Training Blockchain 57

Apiumhub

OCTOBER 2, 2019

Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. They also offer training to leverage Cloud and DevOps technologies, to create a Continous Delivery Pipeline. Serverless Architecture Using AWS. You can benefit from their expertise in any of the courses they offer: Introduction to Scala.

Software Review 9

Software Review Software Development Technical Review Course 9

Battery Ventures

JULY 23, 2018

Europe’s enterprise and B2B tech scene, nurturing companies in less-sexy but still vital sectors like big data, AI, cybersecurity and business software, has produced fewer household names but is growing fast. PayPal just forked over $2.2 billion for iZettle in June. Sometimes, the West Coast is closer to customers.

B2B 55

B2B Open Source Enterprise Culture 55

RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. Supports Agile Project Management. Security and Compliance. Cyber security is of utmost importance. Run any Workload in the Cloud.

Azure 12

Azure Applications Agile Systems Review 12

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19. Practical Data Cleaning with Python , March 20-21. Kubernetes Serverless with Knative , March 15.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Altexsoft

JANUARY 14, 2021

The 3rd generation data warehouses add more computing choices to MPP and offer different pricing models. By the level of back-end management involved: Serverless data warehouses get their functional building blocks with the help of serverless services, meaning they are fully-managed by third-party vendors. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

FEBRUARY 24, 2023

Deployment and scaling automation to boost CI/CD Kubernetes has become an important part of a DevOps toolchain. It enables DevOps and site reliability engineer (SRE) teams to automate deployments, updates, and rollbacks. But even a seasoned software developer or DevOps engineer can find Kubernetes intimidating in the beginning.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

NOVEMBER 7, 2022

The platform was created by a data engineer — namely, Maxime Beauchemin — for data engineers. 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.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Palo Alto Networks

JANUARY 1, 2020

Particularly across EMEA, it seems virtual boundaries for data are growing; many policy stakeholders encourage “cloud first” more and more, but adding the caveat that the data must stay in the country or region. CSOs Go Back to School to Learn the DevOps Way. This is driven by the ever-increasing focus on privacy. .

IoT 53

IoT Cloud Software Review Network 53

Altexsoft

DECEMBER 14, 2022

Taking this into account, Docker is a favorite of CI/CD practices and DevOps as it speeds up deployments, simplifies updates, and allows teammates to work efficiently together. The Good and the Bad of Serverless Architecture. Well-written documentation. Docker can boast its top-notch documentation. How to get started with Docker.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. It eliminates upfront capital costs and avoids the risk of infrastructure vendor lock-in.

Cloud 49

Cloud AWS Azure Data Center 49

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. or—using Knative—in Kubernetes.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Linux Academy

NOVEMBER 6, 2019

DevOps Content. Building a Full-Stack Serverless Application on AWS. Hiding Apache Data and Implementing Safeguards. Building a Full-Stack Serverless Application on AWS. Enjoy perusing through our new content, and we’ll see you in next month’s update. SQL Deep Dive. Learning Vagrant. Google Cloud Content.

Google Cloud 16

Google Cloud Linux Azure AWS 16

Firemon

SEPTEMBER 12, 2019

Carbon Black’s cloud-based endpoint security platform uses big data and behavioral analytics to power threat hunting, incident response, antivirus, and endpoint detection capabilities, as well as real-time endpoint query and remediation. Baking-in Security by Buying It. Intrinsic’s application runtime security technology for Node.js

Policies 8

Policies Applications Cloud Serverless 8

Saviynt

JANUARY 7, 2020

These serverless technologies build security into the functions and offer varying monitoring and alerting capabilities. Many times, DevOps users re-use code from one RPA to another. However, if the new bot engages with a more sensitive data type, such as PII, then the old code may leave you open to a new risk.

Software Review 12

Software Review Technical Review Compliance Government 12

RapidValue

FEBRUARY 8, 2021

AWS Proton is another exciting service that helps manage and automate code deployments and infrastructure provisioning for applications that are serverless and container-based. Additionally, it also monitors the changes to data in the source data stores, and when the changes do occur, Elastic Views updates the target data store automatically.

AWS 52

AWS Serverless Machine Learning Artificial Inteligence 52

O'Reilly Media - Ideas

JANUARY 25, 2022

Finally, last year we observed that serverless appeared to be keeping pace with microservices. While microservices shows healthy growth, serverless is one of the few topics in this group to see a decline—and a large one at that (41%). Operations, DevOps, and SRE. It’s also worth highlighting the 2% increase for DevOps.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. Operations or DevOps or SRE. serverless, a.k.a. The term “DevOps” has fallen on hard times. Operations, DevOps, and SRE. We can’t just get faster processors.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. Watch our video to learn more about one of the key Databricks applications — data engineering.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64