DevOps & CI/CD
Automation, pipelines, and infrastructure as code
Terraform
Jenkins
Argo CD
GitHub Actions
GitLab CI
Ansible
Pulumi
CircleCI
Use this page to judge stack coverage and decision discipline, not tool-name volume.
Technology
Technologies we work with, selected for fit not tool fashion.
We work across cloud, automation, platform, observability, security, and data tooling, but the real value is choosing what fits the client environment.
Coverage across cloud, platform, observability, integration, and securitySelection based on maturity, risk, and operating fitAble to improve an existing stack without unnecessary churn
Technology Categories
What we actively deliver across cloud, DevOps, observability, security, and data.
Most teams do not need a full-stack reset. They need clear judgment on what should stay, what should be improved, and what genuinely needs replacing.
DevOps & CI/CDCloud PlatformsKubernetes & ContainersAPI GatewaysObservability & MonitoringDatabasesData & AnalyticsSecurity & Identity
Cloud Platforms
Major cloud providers and edge platforms
AWS
Microsoft Azure
Google Cloud
Cloudflare
DigitalOcean
Kubernetes & Containers
Container orchestration and runtime platforms
Kubernetes
Amazon EKS
Azure AKS
Google GKE
Docker
Helm
Istio
API Gateways
Traffic management, edge routing, and API controls
Envoy Gateway
Traefik
Kong
NGINX
Observability & Monitoring
Metrics, logs, traces, and alerting
Prometheus
Grafana
Thanos
OpenTelemetry
Datadog
Elasticsearch
Jaeger
Loki
SigNoz
OpenSearch
New Relic
Databases
Relational, columnar, and NoSQL data stores
ClickHouse
PostgreSQL
MySQL
MongoDB
Redis
Cassandra
Data & Analytics
Data pipelines, orchestration, and BI
Apache Airflow
Apache Spark
Apache Kafka
Apache NiFi
Tableau
dbt
AWS EMR
Microsoft Fabric
Security & Identity
Authentication, posture, and runtime security
Okta
HashiCorp Vault
Wiz
Falco
Microsoft Entra ID
GitLeaks
Microsoft Defender
Sentinel
Proof
How tooling decisions are tested before they affect delivery, cost, or control.
Architecture by business objective
Technology choices are driven by scale, risk, and delivery goals instead of tool popularity.
Secure by design and by default
Identity, network boundaries, secrets, and policy controls are embedded in every platform layer.
Operability from day one
Monitoring, tracing, incident workflows, and SLOs are part of delivery, not post-launch add-ons.
Automation before manual ops
Repeatable workflows and policy-backed pipelines reduce risk and improve change velocity.
Platform Fit
Use the right tools when the question is platform choice, runtime maturity, or cost fit.
Technology decisions are easier when buyers can compare platform fit, assess Kubernetes maturity, and benchmark cloud cost before turning the issue into a larger programme.
Cloud Platform Fit
Compare AWS, Azure, and Google Cloud by operating fit, team profile, and business need.
Open toolKubernetes Operating Maturity Score
See how mature your Kubernetes operating model is across reliability, ownership, and control.
Open toolCloud Cost Benchmark
Estimate how much cloud spend could be under governance pressure, architectural drag, or avoidable waste.
Open toolNext Step
If the current stack is slowing delivery, security, or support, we can help decide what to keep and what to change.
If you need help deciding whether to stabilise the current stack or modernise it, start with a short conversation.
Representative stack coverage rather than a claim that every programme uses every tool listed here.
Selections are shaped by operating maturity, risk, integration reality, and internal team capability.
Where an existing stack is workable, we prefer disciplined improvement over unnecessary tool churn.