Case Study

Deltatre

Deltatre chose Flux, Helm and K8s to automate and scale

Challenge

Deltatre is a leading company in the sports industry, specializing in the creation of graphics and tools for journalism and live television broadcasts. Deltatre’s development team was at an advanced stage within the Cloud Native Maturity Model, but needed support to create an easily replicable and scalable white-label automation project. Initial requirements included:

  • Validate ongoing implementation of GitOps as a pivotal technology for release automation, centralized project repository management and access segregation.
  • Introduce best practices for release speed and quality, standardizing project delivery.
  • Strengthen a multi-cloud/cloud-agnostic approach, avoiding vendor lock-in.
  • Optimize the local development process by expediting productivity of team members. 
  • Increase operation-side skills of developers (shift left).
  • Increase by-design security level of current infrastructure (shield right).

Solution

Deltatre tackled automation and scalability challenges by leveraging Kubernetes, Helm and Flux. These tools allowed teams to streamline operations, enhance deployment efficiency and effectively manage extensive software libraries.

Impact

This transition to Kubernetes, Helm and Flux not only optimized their infrastructure and development processes but also increased flexibility and responsiveness to evolving industry demands, accelerating adoption of progressive approaches like “shift left” and “shield right.”

Challenges:
Industry:
Location:
Cloud Type:
Published:
September 17, 2024

Projects used

Flux
Helm
Kubernetes

By the numbers

50% reduction

in pipeline runtime

50% reduction

onboarding for reproducible dev envs

Improved SCM

through cross-team software/library use

Advancing on the Cloud Native Journey

A cloud native journey is always a journey that addresses the entire software lifecycle and crosses the organization in terms of processes and people, as well as technology. It is always challenging, but in this case, it was particularly interesting because of the cloud native maturity of Deltatre’s team, with whom we worked assiduously.

In the initial phase, we made a thorough assessment, through meetings and asking dozens of questions, to get a clear picture of the starting context and avoid false or trivial steps. In-depth meetings took place biweekly, while quick 30-minute weekly meetings were held to assess the progress of ongoing work.

For the success of our shared journey, not only access to code and infrastructure, but also a continuous exchange of information was essential. This drove the decision to adopt regular journaling, not to simply record meetings, but to analyze, at each step, temporary objectives, problems identified, as well as solutions proposed and implemented. It was a successful experiment, resulting in actionable to-do lists to clear out our backlog.

The Operations Side

The first leg of the journey involved the entire operations side, with particular focus on bootstrapping a new project based on Forge, a highly-scalable publishing platform in Deltatre’s product portfolio. Analyzing the current workflow, we identified steps requiring manual work that we could automate. What emerged was a set of optimization activities and an issue backlog, for which we proposed the creation of a seed infrastructure-as-code (IaC) project. The project would automate and standardize all manual tasks required during the initiation of a new project, including security (for example, initial configuration of cloud resources and repositories).

During this phase, it also emerged that the operations team’s tasks usually took less time than the development and design of the frontend solution. The initial infrastructure setup, delivery of access credentials to the platform, subsequent setup of the CI/CD pipeline as well as staging and production environments, took 2–3 weeks at most, between support and optimisation, compared to several weeks for the frontend solution.  

After collecting information on developer workflow, from machine setup to how communications are integrated between various teams, to the sharing of infrastructure and application front-end code, we saw a need for greater consistency. That is, consistency between the development environment on local machines and internally-created development environments in the pipelines should increase. The ultimate aim was to create a local containerised environment to:

Enhancing DX: The Development Side

Considering that developer activities take up most project time, we devoted a second leg of the journey to identifying ways to improve the daily developer experience (DX). Among the changes we made:

The last leg of the journey focused on high availability, content delivery network (CDN) utilization and system observability, leading to evaluation of cloud cost analysis and autoscaling tools. On the whole, Deltatre’s GitOps system was already very well set up; in fact, our adjustments only enhanced it so that changes to the cluster would be possible only via GitOps, invalidating any manual changes.

We conclude with a couple of the biggest lessons from our cloud native journey: