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Latest DevOps publications


On the road to containerisation? It’s time your database shifted gear

It’s no secret that DevOps teams typically have three main priorities: increasing agility and innovation, improving collaboration, and delivering products faster to market. It’s also no secret that they will be quick to adopt any technology that supports these goals.

Containerisation is a natural fit for this framework: increasing the scalability and dynamism of the cloud to develop and update applications faster, meet the ever-increasing demands placed on DevOps teams, and ultimately deliver better customer experiences. However, there are a few obstacles still standing in the way.


Why getting your DevOps strategy right shouldn’t be rocket science

While disconnected, siloed working doesn’t always lead to explosive Martian mishaps, it is certainly increasingly incompatible with our hyper-connected, digitally transformed realities. Innovation and progress have the best chance to succeed when inter-team alignment is constant, and everyone is relentlessly, continually engaged in collaborative dialogue. This is exactly why DevOps methodologies are having such an influential impact on software development right now, bringing development and operations teams together to produce the best possible outcomes. Much has been written about the technical aspects of DevOps but, regrettably, less attention has been spent on championing the fundamental soft skills that make it so powerful.


DataOps: Low adoption doesn’t mean low value
DataOps provides a better and faster way of managing data pipelines. Helena Schwenk, global AR & market insights manager at Exasol, explains how to get DataOps off the ground and make it work in your organization If you’re an IT or data professional, it’s likely you’ve heard of the term DataOps. But it’s also a... Read More

Why you’re doing VSM wrong, and the three essential elements to get it right
Value, visibility and tactics are the keys to VSM success, writes Jeff Keyes, Plutora Businesses today are under increasing pressure to incorporate the latest approaches to increase the efficiency and speed of pipeline deliveries. Value stream management (VSM) is a solution to this challenge – mapping out your value stream provides all team members with... Read More

Google launches containers for machine learning applications, three months after AWS did the same

AWS released containers for machine learning applications in March Google Cloud Platform (GCP) has launched Deep Learning Containers, portable and consistent environments for developing, testing and deploying machine learning applications. The docker images, released in beta, work on cloud, on-premises, and across GCP products and services, including Google Kubernetes Engine (GKE), AI Platform, Cloud Run,… Read More



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