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TechStack

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We are the DevOps Team.

Our mission is to make the Product Development Team efficient and happy.
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We live in this technical landscape (Technical Map)

Platform Infrastructure Components:
Identity and
Access Management (IAM): Keycloak, Java
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Secrets: HashiCorp Vault
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Bus System: RabbitMQ
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Database: MSSQL
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Reverse Proxy: Yarp, C#
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Observability: Loki, Tempo, Prometheus
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Infrastructure (cloud):
Kubernetes: Dockerfiles, Kubernetes Manifests, Kustomize
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Azure: ARM-Templates, Powershell
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Infrastructure (on premise):
Windows: Windows-Installer (WIX-Tool), C# (custom extensions), SSL, Firewalls>
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(linux vs windows (we live in a world of 90% linux and 10% windows - with the core technologies being 100% open-source and linux driven)
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Development Platforms and Automation Tools:
Azure DevOps:
  • Pipelines: Yaml Pipelines, Powershell
  • Scrum Board
  • Artefact feeds (nuget, npm)
  • Git, Mono Repository
  • Wiki
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Microsoft 365:
  • Office, Outlook, Teams
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IDE: Visual Studio, VS Code
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Internal Tools: Angular, React, NodeJS, C#, Python
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Product Development:Angular, JavaScript, C#, .Net
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We implement exciting concepts

DevOps Concepts:

CICD

  • release flow - automatic SemVer tags based on git branch
  • continuous integration (CI): automatically build each module (written in azure-pipelines yaml, powershell, bash)
  • continuous deployment (CD): automatically deploy each module into production (written in azure-pipelines yaml, powershell, bash, internal tools written in C# and JavaScript)
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Infrastructure as Code (IaC)

provision Azure resources using ARM templates (VMs, Storage Accounts, DBs, virtual networks, Key Vault, DNS Zone)

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Policy as Code (PaC)

bring policies into code and collaborate together as a team, e.g. Workflows, Roles and Permissions to access Azure and other platforms

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GitOps (Git Operations) - Configuration as Code

GitOps Operato

  • Watch new docker tags and trigger deployments (based on predefined rules)
  • Run deployment - generate kubernetes manifests from kustomize templates, apply changes to the cluster

internal tools to bridge the full deployment automation gap

  • Deployment-status-controller - reports on the latest versions, so that the deployment pipeline can check if all the deployment changes have taken place
  • Sql-configurator - sets up an initial database and creates users and schemas so that the applications can pick up from there (otherwise the initial setup would have to be done by a sysadmin)
  • Iam-configurator - create/update users and permissions (the configuration is stored in code)
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ChatOps (Chat Operations)

the visual abstraction layer on top of infrastructure automation APIs for convenient use UIs, leverage git ops and generate audittrails, make automation APIs more accessible (democratize)

  • Chats - talk to a chatbot that can access lower level automation APIs
  • Dashboards - see your infrastructure all in one place and make configuration changes conveniently over an UI
  • Wizards - user workflows via UI for complex human-machine processes, e.g. create new release (1. create release branch, 2. build all modules, 3. create release notes)
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SecOps (Security Operations)

work with security engineers early on to avoid big surprises

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AIOps (Artificial Intelligence Operations)

@future: use machine learning and big data to enhance IT operations analytics, e.g.: performance monitoring, event correlations, anomaly, fault and failure (AFF) detection and analysis.

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different execution runtimes - design a system that runs on different execution runtimes

  • windows-desktop
  • windows-server
  • kubernetes
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Quality Assurance
  • acceptance tests written in Given-When-Then style (Gherkin) that serve as the communication layer for the 3 amigos (tester, developer, product owner)
    1. all modules in a single process and in-memory,
    2. separate processes with mocks&stubs,
    3. staging system with real external dependencies,
    4. in production
  • build testable systems - software cell, ports and adapters
  • build test infrastructure: create building blocks to fully automate the testing process
  • pipeline automation: automatically create new environments, deploy platform modules, execute acceptance tests

Observability - what you can't measure you can't improve

Establish a Site Reliability Engineering (SRE) culture with SLIs, SLOs, SLAs

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