Observability

Observability is the practice of instrumenting your applications and infrastructure to gain insight into how they are performing in real-world environments.

3 case studies

Modernizing Development Practices During a Cross-Cloud Migration

Amazon Web Services (AWS)
Business workflows
CI/CD
CircleCI
Go (language)
Google Cloud Platform (GCP)
Google Kubernetes Engine (GKE)
Jenkins
Kubernetes
Legacy applications
Observability
Python
Terraform

We migrated a client's microservices from several AWS accounts to a single GCP environment. We containerized legacy codebases, established Kubernetes clusters, and built a GitOps workflow designed for developers to manage their own deployments. This unified cloud empowered engineers to deploy rapidly and gave business leaders critical insight into cloud resource usage and costs.

Unifying Microservices Deployment in an Enterprise Telecom Environment

Amazon Web Services (AWS)
Business workflows
CI/CD
GitLab CI
Helm
Jenkins
Kubernetes
Node.js
Observability
TypeScript

We containerized various legacy applications into a single deployment pipeline and migrated them into a corporate Kubernetes cluster. This gave the client's operational teams full visibility into the software and ensured it ran in a manner compliant with company policy. Feature velocity increased dramatically as engineers became empowered to deploy their own code to production.

Streamlining Legacy Processes: Reducing Manual Intervention in Critical Tasks

Business workflows
Legacy applications
Observability
Ruby on Rails

We rebuilt a business-critical but problematic daily system synchronization process for an HR startup. Our solution improved process reliability, improved resilience to runtime errors, and empowered engineers to proactively address issues. This resulted in significantly fewer overtime hours for the operations team in charge of this process.

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