Kerno

The typical implementation process for Kerno software is designed to be fast, lightweight, and developer-friendly, especially for teams working in Kubernetes (K8s) environments. Here's a detailed breakdown based on the most relevant data points from Kerno's official site:

Implementation Process for Kerno

1. Deployment Method:
   • Kerno is deployed using Helm, a package manager for Kubernetes.
   • The command is as simple as: helm install kerno-agent kerno/agent \ -- create-namespace \ --namespace kerno \ --set api-key=[your API key]

   • This allows for deployment in under 2 minutes.

2. Zero Code Changes:
   • Kerno requires no changes to your application code.

   • It uses eBPF (Extended Berkeley Packet Filter) to observe systems at the kernel level, making it language-agnostic and non-intrusive.

3. Environment Compatibility:
   • Works on any Kubernetes environment.

   • Supports common protocols like HTTP/HTTPS, gRPC, PostgreSQL, and Kafka out of the box.

4. Data Handling:

   • All sensitive data is stored within your own cloud environment using object storage, ensuring data privacy and cost efficiency.

5. Integration:
   • Seamlessly integrates with:
     • Slack (for alerts)
     • Jira or Linear (for issue tracking)
     • Popular IDEs (via Kerno IDE extension)

     • CI/CD pipelines and observability tools (via OpenTelemetry and Prometheus standards).

Implementation Timeline

• Initial Deployment: ~2 minutes
• Full Setup & Integration: Depending on your environment and team size, a few hours to a couple of days for:
  • Connecting to IDEs
  • Setting up alerts and dashboards
  • Integrating with issue trackers and Slack

• No downtime or major configuration overhead is expected.

Reported Benefits Post-Implementation

• 64% reduction in customer-facing production incidents
• 3× increase in successful first-time deployments
• 20% of engineering hours redirected to feature work each quarter.

Kerno offers several customization options to align with specific business requirements:

Custom Dashboards

• You can build custom Grafana dashboards in a few clicks using Kerno’s integration.

• This allows teams to tailor observability views to their unique metrics, services, and KPIs.

Protocol Support

• Kerno supports HTTP/HTTPS, gRPC, PostgreSQL, and Kafka out of the box.

• New protocols are added regularly, ensuring adaptability to evolving tech stacks.

IDE & CI/CD Integration

• Works with popular IDEs and CI/CD pipelines, allowing developers to receive runtime context directly where they work.

• Integrates with tools like Slack, Jira, and Linear for seamless issue tracking and communication.

Kerno Studio & Streams

• Kerno Studio enables teams to visually explore and manage their runtime environments.

• Kerno Streams makes granular system data accessible to different teams, supporting custom workflows.

Open Standards

• Built on OpenTelemetry and Prometheus, Kerno ensures interoperability with existing observability ecosystems.

Kerno’s pricing model is designed to be transparent and predictable, with minimal hidden costs:

Pricing Tiers

1. Community Plan – Free Forever
   • Up to 20 microservices
   • One cluster
   • 5 seats
   • Includes 14-day Pro trial

   • No credit card required

2. Core Plan – $25 per node/month
   • Unlimited seats, clusters, environments
   • Dedicated support channel
   • Personalized onboarding

   • Volume discounts available

Setup Fees

• No setup fees are mentioned.

• Deployment is self-service via Helm and takes about 2 minutes.

Maintenance Costs

• Kerno is designed to run with minimal CPU and memory overhead, even at scale.

• Uses smart sampling and object storage to reduce data costs and operational footprint.

Support Charges

• Dedicated support and personalized onboarding are included in the Core plan.

• Community support is available via Slack for free users.

Procurement Options

• Can be purchased via AWS Marketplace, allowing teams to use pre-approved cloud budgets.

Kerno provides a comprehensive onboarding and support ecosystem designed to help teams get up and running quickly and effectively:

Training & Onboarding

1. Self-Guided Documentation
   • Extensive technical docs covering installation, configuration, and usage.

   • Includes Helm deployment guides, IDE plugin setup, and integration walkthroughs.

2. Live Demos & Onboarding Calls

   • Teams can request live demos or onboarding sessions directly with Kerno’s team.

3. Slack Community Access

   • Join Kerno’s Slack workspace to ask product questions, report issues, and connect with the team and other users.

4. Kerno Studio

   • A visual workspace that helps new users explore system behavior, configure alerts, and collaborate on debugging tasks.

5. IDE Plugin Walkthroughs

   • Step-by-step guidance on using the Kerno IDE extension to access runtime context, validate changes, and monitor performance.

6. No-Code Deployment

   • Designed for ease of use with zero code changes and 2-minute Helm deployment, reducing the learning curve.

7. Email Support & Direct Contact
   • Users can reach out to founders or support engineers directly for personalized help (e.g., [email protected]).

Kerno is built with data privacy and security at its core, especially for teams handling sensitive production workloads:

Key Security Features

1. Data Residency Control

   • All sensitive runtime data is stored inside your own cloud (AWS, GCP, Azure), not on Kerno’s servers.

2. eBPF-Based Data Collection

   • Uses eBPF to collect data at the kernel level without injecting agents or modifying application code, reducing attack surfaces.

3. No PII Extraction

   • Kerno avoids collecting personally identifiable information (PII) unless explicitly configured to do so.

4. Real-Time Threat Detection

   • eBPF enables real-time monitoring of system calls and network activity, helping detect anomalies and potential threats.

5. GDPR Compliance

   • Kerno complies with General Data Protection Regulation (GDPR) for users in the EU/EEA.

6. Sandboxed Kernel Extensions

   • eBPF programs are sandboxed and verified before execution, ensuring they cannot harm the system.

7. Minimal Resource Footprint

   • Lightweight agents reduce the risk of performance degradation or system instability.

8. Secure Integrations
   • All integrations (e.g., GitHub, Slack, Jira) use secure APIs and token-based authentication.

Update Frequency & Management

1. Continuous Improvement Model

   • Kerno follows a DevOps-style release cycle, with frequent updates to its Helm charts, IDE plugins, and backend services.

2. Kerno Blog Activity

   • Regular blog posts and product updates indicate monthly or bi-monthly feature rollouts, including enhancements to observability, IDE integration, and AI agent support.

3. IDE Plugin Updates

   • The Kerno IDE extension receives frequent updates to improve performance, compatibility, and runtime context delivery.

4. Helm-Based Deployment

   • Updates are managed via Helm, allowing users to upgrade agents with a single command, minimizing downtime and complexity.

5. No Downtime Deployments
   • Kerno’s architecture supports rolling updates in Kubernetes environments, ensuring continuous observability during upgrades.

Kerno is designed with data sovereignty and portability in mind, giving users full control over their runtime data.

Data Ownership

1. User-Owned Data

   • All runtime data collected by Kerno is stored in your own cloud infrastructure (e.g., AWS S3, GCP, Azure Blob), not on Kerno’s servers.

2. No Vendor Lock-In

   • Because data is stored in standard object storage formats, users can export, migrate, or delete their data at any time.

3. Privacy Policy Highlights

   • Users are the sole owners of their personal and runtime data and can request deletion or disclosure at any time.

4. GDPR Compliance

   • Kerno complies with GDPR and similar data protection regulations, ensuring transparency and user rights over data.

5. Workload Portability

   • Kerno supports multi-cloud and hybrid environments, allowing runtime intelligence to move with workloads across providers.

6. Secure API Access
   • Data access and integrations are managed via secure APIs with token-based authentication, ensuring controlled portability.

Kerno is designed to be highly scalable and flexible, making it easy for organizations to adjust usage based on evolving needs:

Scaling Up

• Node-Based Pricing: You can increase the number of nodes at any time. Pricing is calculated per node, so scaling is linear and predictable.
• Unlimited Seats: Adding more developers or environments doesn’t incur extra costs—only node count matters.
• Multi-Cluster Support: Easily scale across multiple Kubernetes clusters and environments (dev, staging, prod).

• No Downtime Scaling: Kerno’s Helm-based deployment allows for rolling updates and seamless scaling without service interruption.

Scaling Down

• Flexible Subscription Management: You can reduce node count or downgrade plans via your account dashboard or by contacting support.
• No Lock-In: Since data is stored in your cloud, scaling down doesn’t affect data access or portability.
• Lightweight Footprint: Even at reduced scale, Kerno maintains low CPU/memory usage and continues to deliver insights.

Kerno’s terms are designed to be transparent and user-controlled:

Contract Renewal

• Auto-Renewal: Subscriptions renew automatically unless canceled.

• Notification: Users receive renewal notices via email before billing.

• Annual Discounts: Pro plans offer lower rates when billed annually.

Cancellation

• Self-Service Cancellation: You can cancel your subscription through your online account or by contacting support.

• No Cancellation Fees: There are no penalties for canceling, and you retain access until the end of the billing cycle.

• Data Retention: Since data is stored in your cloud, you retain full access even after cancellation.

Kerno is built with enterprise-grade compliance and data governance in mind:

Compliance Highlights

1. GDPR Compliant

   • Fully adheres to the General Data Protection Regulation for EU/EEA users.

2. Data Residency Control

   • All runtime data is stored in your cloud infrastructure, supporting compliance with local data laws.

3. No PII by Default

   • Kerno avoids collecting personally identifiable information unless explicitly configured.

4. Secure by Design

   • Uses sandboxed eBPF programs, secure APIs, and token-based authentication.

5. Auditability

   • Logs and runtime data are accessible for audit purposes, supporting internal and external compliance checks.

6. Cloud-Native Security
   • Compatible with AWS, GCP, and Azure security frameworks and policies.