Business Objective Alignment: Define business goals and establish Key Performance Indicators (KPIs)
and relevant metrics.
Tool Selection: Choose the appropriate observability tools and technologies that align with business
needs.
Integration: Develop processes and procedures to embed observability into organizational workflows
and day-to-day operations for continuous improvement.
Tool and Technology Selection: Choose suitable observability tools and technologies based on system
architecture and needs.
Integration Design: Design custom integrations with legacy systems and third-party services to ensure
comprehensive monitoring.
Data Configuration: Configure data collection, storage, and processing pipelines for continuous
monitoring.
Dashboard and Report Development: Create custom dashboards and reports to visualize key data points
and metrics.
Ongoing Support: Provide maintenance and continuous support for observability systems to ensure
optimal functionality.
Automated Alerting Policies: Design and implement automated alerting mechanisms to swiftly detect and
respond to system issues.
Real-Time Dashboards: Set up real-time dashboards to monitor system performance, availability, and
other critical KPIs.
Alert Triage: Develop a structured process for triaging alerts to reduce noise and focus on
high-priority incidents.
Prioritization Guidance: Offer best practices on prioritizing and resolving alerts based on severity,
impact, and business relevance.
Cloud-Native Tools: Implement cloud-native logging and monitoring solutions, such as AWS CloudWatch,
Azure Monitor, and Google Cloud Monitoring.
Containerized Workloads: Develop and implement observability strategies for monitoring containerized
workloads, such as Kubernetes clusters or Docker containers.
Continuous Delivery Optimization: Ensure that continuous delivery processes are optimized for
cloud-native environments, incorporating best practices and automation.
Custom Reporting: Generate reports and dashboards that reflect continuous delivery and observability
efforts in cloud-native systems.
Cloud-Specific Solutions: Develop observability solutions tailored for cloud-native environments,
ensuring security and scalability.
Monitoring and Analysis: Implement strategies for continuous monitoring and analysis of cloud-native
workloads, such as Kubernetes or serverless architectures.
Optimization Guidance: Provide guidance on optimizing observability for cloud-native applications,
focusing on security, performance, and compliance.