Altexsoft

JULY 4, 2022

Obviously, this professional creates, deploys, updates, and supports cloud-based infrastructures. Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. Architecting with Google Compute Engine Specialization.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Exadel

MARCH 3, 2020

It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). In addition, CrossKube has full support for Kubernetes, Bastion Firewall, multiple data sources, microservice architecture, QA automation, and Zabbix monitoring. ← Hackathon Time in Minsk.

Conference 52

Conference Firewall Google Cloud Cloud 52

OpenCredo

FEBRUARY 11, 2022

All the major cloud providers now have a serverless computing offer as part of their services portfolio: Amazon Web Services has Lambda, Microsoft Azure has Azure Functions, and Google Cloud has Cloud Functions. Serverless functions focus on building functions as microservices. Google Cloud.

Serverless 52

Serverless Testing Software Review Lambda 52

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

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Exadel

DECEMBER 4, 2019

We started identifying some of our strongest areas of digital software engineering excellence and what we could do to enhance these strengths for our clients. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). We’ve launched new solutions and a new innovation platform.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Confluent

MARCH 4, 2019

Thus, they created different Terraform scripts for each cloud provider that would be offered as an option, such as Amazon Web Services (AWS) , Google Cloud and Microsoft Azure. To learn more about Apache Kafka as a service: Check out Confluent Cloud , a fully managed streaming data service based on Apache Kafka.

Cloud 88

Cloud Fractional CTO Software Review Banking 88

O'Reilly Media - Ideas

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 141

DevOps Data Software Review Technical Advisors 141

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven? Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8