Altexsoft

NOVEMBER 7, 2022

Other tech professionals working with the tool are solution architects , software developers, DevOps specialists, and data scientists. It sticks to the workflow as code philosophy which makes the platform unsuitable for non-developers. By default, Airflow handles metadata with SQLite which is meant for development only.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

Altexsoft

OCTOBER 21, 2022

With these basic concepts in mind, we can proceed to the explanation of Kafka’s strengths and weaknesses. You can start with as little as one broker for proof of concept, then scale to three to five brokers for development, and go live with tens or even hundreds of servers. API principles explained. Kafka advantages.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

APRIL 26, 2022

Developed in 2012 and officially launched in 2014, Snowflake is a cloud-based data platform provided as a SaaS (Software-as-a-Service) solution with a completely new SQL query engine. Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

SEPTEMBER 21, 2023

To help her, Banon developed a search engine for her recipe collection. From those home-made beginnings as Compass, Elasticsearch has matured into one of the leading enterprise search engines, standing among the top 10 most popular database management systems globally according to the Stack Overflow 2023 Developer Survey.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

O'Reilly Media - Ideas

MARCH 1, 2023

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 131

Trends Technical Review Technology Software Review 131

Perficient

JULY 20, 2023

This proactive approach allows your team to take immediate actions, such as optimizing resources or scaling down underutilized instances, to avoid cost overruns. Unfortunately it is all too common for teams to provision a testing environment and then leave it running after they are finished.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

O'Reilly Media - Ideas

JUNE 22, 2022

This year’s survey asked questions about compensation for “cloud professionals”: the software developers, operations staff, and others who build cloud-based applications, manage a cloud platform, and use cloud services. For example, no respondents used both “developer” and “architect” in a write-in job title.)

Survey 127

Survey Cloud Google Cloud Training 127

Saviynt

AUGUST 20, 2019

As organizations adopt digital transformation strategies, they move sensitive data offsite, choosing serverless over on-premises data repositories. While each cloud services provider, Software-as-a-Service (SaaS) application, on-premises, and hybrid infrastructure requires IAM policies, each has its own unique definitions and requirements.

Policies 10

Policies Analytics Security Weak Development Team 10

O'Reilly Media - Ideas

MAY 19, 2020

It seems to us that the results of our survey offer a point-in-time snapshot of the latest trends in cloud, microservices, distributed application development, and other emergent areas. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud.

Cloud 141

Cloud Microservices Serverless Survey 141

Hypergrid

FEBRUARY 15, 2019

Self-scaling, highly-available, no infrastructure, a smaller attack surface, only pay for what you use – what’s to not love about Serverless Computing – or more precisely Function as a Service (FaaS). All this sounds great, but most organizations are not yet taking a full plunge into serverless computing. What is Holding You Back ?

Lambda 40

Lambda Serverless AWS Compliance 40

Hypergrid

FEBRUARY 15, 2019

Self-scaling, highly-available, no infrastructure, a smaller attack surface, only pay for what you use – what’s to not love about Serverless Computing – or more precisely Function as a Service (FaaS). All this sounds great, but most organizations are not yet taking a full plunge into serverless computing. What is Holding You Back ?

Lambda 40

Lambda Serverless AWS Compliance 40

Modus Create

MARCH 6, 2020

With the relentless pace of innovation using Lean software development, we’ve seen an explosion in the use of serverless technologies with a mantra of “NoOps.” Research has shown teams implementing modern DevOps practices are significantly higher performing than those who don’t. The Maturation of Serverless.

Serverless 138

Serverless DevOps Lambda Weak Development Team 138

Altexsoft

MARCH 30, 2023

Designed to handle big data, the platform addresses problems associated with data lakes — such as lack of data integrity , poor data quality, and low performance compared to data warehouses. Big data democratization and collaboration opportunities The Databricks team aims to make big data analytics easier for enterprises.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2022

What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers? Both “GCP” and “Google Cloud” were in the top 3% of their respective lists.

Trends 107

Trends Technical Review Technology Artificial Inteligence 107

O'Reilly Media - Ideas

JANUARY 25, 2021

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. Concurrency has always been one of Python’s weaknesses. serverless, a.k.a. frameworks. FaaS, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145