Ajna Consulting Services operates as a dedicated engineering partner. Our technical leadership team possesses extensive experience designing, securing, and recovering mission-critical infrastructure for Tier-1 financial, telecommunications, and aviation organizations.
We specialize in transitioning complex legacy architectures into highly distributed, event-driven microservices. We engage directly alongside client engineering teams to execute deployments, configure CI/CD pipelines, and establish strict operational governance.
Technical audits of existing middleware, cloud expenditure, and systemic bottlenecks.
Designing resilient, decoupled cloud-native architectures utilizing Kubernetes and serverless frameworks.
Implementing CI/CD, MLOps, and FinOps pipelines to ensure self-sustaining operational excellence.
Upskilling internal workforces through structured technical training to ensure operational independence.
We leverage advanced technical expertise, direct execution, and established methodologies to minimize downtime, optimize capital expenditure, and provide engineering teams with actionable telemetry.
Accelerating legacy transformation and cloud migration across multi-region deployments.
Implementing rigorous IAM and governance policies to protect critical corporate assets.
Proactive monitoring with telemetry insights to systematically reduce mean-time-to-resolution (MTTR).
We provide technical direction to reduce architectural debt, align capital expenditure with performance requirements, and systematically improve overall application reliability.
We orchestrate multi-regional digital transformations. By decoupling monolithic legacy assets into scalable, event-driven microservices, engineering teams accelerate product release cycles by up to 35%.
We deploy robust observability control planes using OpenTelemetry and Prometheus to implement predictive incident detection, enabling organizations to enforce strict 99.9% uptime SLAs.
Unchecked cloud resource allocation introduces unnecessary expense. We institutionalize FinOps frameworks to align engineering resources with business value, consistently delivering optimized infrastructure savings.
We automate the software development lifecycle from code repository to production clusters. By leveraging infrastructure-as-code (IaC), we ensure engineering teams deploy consistently and with complete auditability.
Transition AI operations from theoretical experimentation to production-grade deployments. We architect resilient MLOps pipelines and integrate data-driven agents securely within corporate networks.
Architect and deploy autonomous AI agents capable of complex decision-routing and secure task execution across internal APIs.
Standardize machine learning lifecycles with strict version control, automated model testing, and continuous deployment tracking.
Process massive datasets utilizing Apache Spark and modern data ecosystems to generate actionable business intelligence.
Protect corporate intellectual property by implementing rigorous Zero-Trust policies and data classification across all AI interactions.
We provide customized, lab-intensive technical curriculums. Our instruction is rooted in active, real-world deployment experience, designed to upskill enterprise software teams efficiently.
Architectural deep-dives into integration methodologies, high-availability clustering, and legacy Oracle stacks.
Comprehensive instruction on distributed networking, platform security, and container orchestration.
Application development principles, modern RESTful API design, and resilient backend microservices construction.
Review feedback from executive stakeholders regarding our consulting, migration, and corporate training engagements.
Our engineering team regularly contributes technical documentation, architectural patterns, and open-source tutorials to the wider IT community to drive industry standards.
Review our comprehensive technical deep-dives and engineering documentation hosted at techknowen.com.
Video demonstrations, coding environments, and technical tutorials.
Real-time architectural commentary and framework updates.
Long-form engineering essays and enterprise IT case studies.
Decentralized technical discussions and framework news.
Internal engineering culture and event documentation.
Interactive architectural community server.
