Cloud Computing

Achieving agility, efficiency, cost control and better analytics by deploying a cloud big data infrastructure while taking the security and legacy imperatives into account is not a trivial task. Managing an elastic pool of resources in a multi-tenant environment while respecting the SLAs and data integrity and keeping the bills under control is not either.

We architect, deploy and operate hybrid public and private cloud solutions based on multiple offerings on a daily basis. We’ve been involved in different approaches to cloud migration, from “Lift & Shift” to complete re-platform. These experiences provide our consultants with the depth and breadth of skills needed to help you navigate, customize and operate the new normal.

Cloud Computing

Our consultants intervene on all the project life cycle, from the feasibility study to the project delivery

Cloud migration

Cloud migration

  • Gather and document the requirements (functional and nonfunctional)
  • Architect the solution based on those requirements
  • Roadmap definition and project planning
  • Test, optimize, cut-off processes
  • Public cloud services comparison
Operation and optimization

Cloud operation and optimization

  • Audit infrastructure, processes and costs
  • Infrastructure deployment automation
  • Define and achieve desired state and processes (SLOs, SLAs)
  • Infrastructure, networking and service operation
  • Cost analysis and optimization
Integration and development

Cloud integration and development

  • Technology and services qualification and validation
  • Data ingestion/preparation pipelines
  • Data loading and connections
  • Machine Learning algorithms
  • Stream and batch processing

Articles related to Cloud

Running Enterprise Workloads in the Cloud with Cloudbreak

Running Enterprise Workloads in the Cloud with Cloudbreak

Categories: Big Data, Cloud Computing, DataWorks Summit 2018 | Tags: AWS, Cloudbreak, GCP, HDP, Azure, OpenStack, Operation, Hadoop

This article is based on Peter Darvasi and Richard Doktorics’ talk Running Enterprise Workloads in the Cloud at the DataWorks Summit 2018 in Berlin. It presents Hortonworks’ automated deployment tool…

By Joris RUMMENS

May 28, 2018

Micro Services

Micro Services

Categories: Cloud Computing, Containers Orchestration, Open Source Summit Europe 2017 | Tags: Mesos, CNCF, DNS, Encryption, GRPC, Istio, Kubernetes, Linkerd, Micro Services, MITM, Proxy, Service Mesh, SSL/TLS, SPOF

Back in the days, applications were monolithic and we could use an IP address to access a service. With virtual machines (VM), multiple hosts started to appear on the same machine with multiple apps…

By David WORMS

Nov 14, 2017

Kubernetes Storage Primitives for Stateful Workloads

Kubernetes Storage Primitives for Stateful Workloads

Categories: Cloud Computing, Containers Orchestration, Open Source Summit Europe 2017 | Tags: Docker, Kubernetes, Container Storage Interface (CSI), PVC, Azure, Storage, GCE

This article is based on the presentation “Introduction to Kubernetes Storage Primitives for Stateful Workloads” from the OSS Convention Prague 2017 by the {Code} team. So, let’s start, what is…

By Pierre SAUVAGE

Oct 28, 2017

Multi-Repo, Multi-Node Gating at Massive Scale

Multi-Repo, Multi-Node Gating at Massive Scale

Categories: Cloud Computing, DevOps & SRE, Open Source Summit Europe 2017 | Tags: Ansible, CI/CD, Infrastructure, Jenkins, OpenStack, Red Hat, Zuul

This is a recap and personal review of Monty Taylor’s presentation of OpenStack’s Continuous Integration tool Zuul at the OpenSource Summit 2017 in Prague (not to mix with Netflix’ Zuul project…

By Joris RUMMENS

Oct 24, 2017

Node.js is now integrated to the Microsoft Azure platform

Node.js is now integrated to the Microsoft Azure platform

Categories: Cloud Computing, Tech Radar | Tags: Cloud, Linux, Azure, Node.js

Node is now a first class citizen in the Microsoft Azure cloud environment alongside .Net, Java and PHP. This integration is the logical consequence of Microsoft’s involvement in the development of…

By David WORMS

Dec 11, 2011

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We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Science…

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.