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 Zero Downtime Deployment Techniques – Canary Deployments

Zero Downtime Deployment Techniques – Canary Deployments

  • Posted by Daitan Technology Council
  • On February 10, 2022
  • Canary Deployments, DevOps, Zero Downtime Deployment
A Canary deployment is a zero-downtime deployment technique that allows a gradual transition of traffic from the current version of an application to a new version. The gradual transition of traffic is usually orchestrated using a data-driven approach, with metrics dictating whether to continue or roll back. It is considered an improvement over Blue-Green deployments which implement a complete cut-over of traffic to the new version.
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 Efficient Distributed Training in Deep Learning

Efficient Distributed Training in Deep Learning

  • Posted by Daitan Innovation Team
  • On January 21, 2022
  • Deep Learning, DevOps, Machine Learning
At the heart of any deep learning system, there is a significant effort in building it. In the last few years, scaling deep learning models has become one of the most promising paths for artificial intelligence, specifically for large AI laboratories like OpenAI and DeepMind. To have a clear feeling of this trend, let us examine recent large language models (LLMs) such as BERT and GPT-3.
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 Zero Downtime Deployment Techniques: Rolling Update

Zero Downtime Deployment Techniques: Rolling Update

  • Posted by Daitan Technology Council
  • On December 3, 2021
  • DevOps, Rolling Update, Software Development, Zero Downtime Deployment
Deploying a new version of a product to production is one of the most critical moments in the Software Development Lifecycle. It can go from sheer excitement to release the latest features, to a nightmare of cascading failures and outages. In this series of posts, we will explore deployment techniques that can be used to deploy a new version of an application without causing disruption to end users.
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 Building a Business Case for DevOps

Building a Business Case for DevOps

  • Posted by Daitan CTO
  • On July 22, 2020
  • Agile, DevOps, Software Development
It is very easy to get excited about DevOps when hearing about how Google, Facebook, and Amazon have achieved incredibly short release cycles and insane levels of automation in their infrastructures. What rarely gets mentioned is how much these wonders of technology cost. The tech giants have virtually unlimited funds to invest and can obviously afford the luxury. The rest of us, however, need to fight for our budgets and choose very wisely where to invest it.
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 Data Science Needs More Than Scientists—It Takes a Team

Data Science Needs More Than Scientists—It Takes a Team

  • Posted by Marketing Daitan
  • On June 11, 2018
  • Agile, Data Engineer, Data Science, DevOps
Data Science projects are complex and usually result in producing pivotal technology tied to a company’s strategic growth. So, when we build a team, we start with foundational skills like Software Development, Data Engineering and (of course) Data Scientists; and we add DevOps Engineering and Quality Engineering—to ensure the net result is a product the company can use.
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 Daitan Presents at DevOps Days Victoria, Canada and São Paulo, Brazil

Daitan Presents at DevOps Days Victoria, Canada and São Paulo, Brazil

  • Posted by Marketing Daitan
  • On June 3, 2018
  • Daitan, DevOps
DevOps Days is a worldwide series of technical conferences covering software development, IT infrastructure operations, and the intersection between them. Daitan Group looks forward to presenting at the Victoria, Canada venue on 25 May 2018, and at the São Paulo, Brazil event on 6-7 June 2018.
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