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ELK Stack

Cloud & DevOps

Elasticsearch, Logstash, and Kibana

Official documentation (opens in a new tab)

Overview

The ELK stack (Elasticsearch, Logstash, Kibana) powers log analytics where Elastic deployments already exist—alongside Elasticsearch cards and OpenTelemetry exports from .NET services.

Microsoft Azure is our primary cloud: Factory templates deploy to App Service, AKS, Container Apps, and managed data services with Bicep or Pulumi, Azure DevOps pipelines, and Application Insights baked in from day one.

When engagements require hybrid or multi-cloud tooling, we adopt it with explicit landing zones, least-privilege identities, and runbooks—while keeping Azure the anchor for ConnectSoft-generated platforms.

From first commit to production dashboards, our DevOps path favors repeatable infrastructure, managed identities, and measurable SLOs—so releases stay boring in the best way.

Why we use it:

  • Index lifecycle and hot/warm tiers
  • Ingest pipelines with PII redaction
  • Kibana spaces per team
  • Federated search vs duplicate indexes
  • Infrastructure as code with environment-specific parameters
  • Managed identities and private networking in production paths
  • Integrated CI/CD through Azure DevOps and quality gates

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