https://ajnacs.com/insights/ Enterprise architecture, cloud, AI and MLOps writing from Ajna Consulting Services. en Wed, 16 Sep 2026 09:00:00 GMT https://ajnacs.com/insights/platform-eng-observability/ https://ajnacs.com/insights/platform-eng-observability/ Wed, 16 Sep 2026 09:00:00 GMT How platform teams build and operate the metrics, logging, and tracing infrastructure that application teams consume without configuring — and what good platform observability coverage actually looks like. DevSecOpsArchitectureFundamentals https://ajnacs.com/insights/aiml-neural-networks/ https://ajnacs.com/insights/aiml-neural-networks/ Fri, 04 Sep 2026 09:00:00 GMT Neurons, layers, weights, activation functions, backpropagation, and gradient descent — the actual mechanics of how a neural network learns from data, explained without the mathematics becoming the obstacle. AI & MLOpsFundamentals https://ajnacs.com/insights/aiml-rag-and-prompting/ https://ajnacs.com/insights/aiml-rag-and-prompting/ Tue, 25 Aug 2026 09:00:00 GMT Retrieval-augmented generation, system prompts, few-shot examples, chain-of-thought, structured output, and the engineering patterns that make LLM applications reliable in production. AI & MLOpsEnterprise AIFundamentals https://ajnacs.com/insights/aiml-production-ai/ https://ajnacs.com/insights/aiml-production-ai/ Tue, 11 Aug 2026 09:00:00 GMT Model serving, latency, cost, monitoring, governance, and the operational discipline that separates a proof of concept from an AI system that runs reliably at enterprise scale. AI & MLOpsEnterprise AIFundamentals https://ajnacs.com/insights/containers-what-they-actually-are/ https://ajnacs.com/insights/containers-what-they-actually-are/ Thu, 30 Jul 2026 09:00:00 GMT Containers are not lightweight VMs. They are processes with resource constraints and namespace isolation. Understanding the actual mechanism makes you a better user of Docker, Kubernetes, and every container runtime. DevSecOpsFundamentals https://ajnacs.com/insights/platform-eng-measuring-success/ https://ajnacs.com/insights/platform-eng-measuring-success/ Tue, 21 Jul 2026 09:00:00 GMT DORA metrics, developer experience scores, cognitive load measures, and the platform health indicators that tell you whether your internal platform is creating value or creating another bottleneck. Engineering LeadershipArchitectureFundamentals https://ajnacs.com/insights/finops-anomaly-detection/ https://ajnacs.com/insights/finops-anomaly-detection/ Mon, 06 Jul 2026 09:00:00 GMT Cloud cost overruns that show up in the monthly invoice are already weeks old. Here's how to set up anomaly detection that catches cost spikes in hours, with enough context to diagnose the cause quickly. FinOpsCost OptimisationCloud Architecture https://ajnacs.com/insights/containers-production-dockerfiles/ https://ajnacs.com/insights/containers-production-dockerfiles/ Wed, 24 Jun 2026 09:00:00 GMT Multi-stage builds, minimal base images, layer caching, non-root users, build arguments, and the specific Dockerfile patterns that separate a working image from a secure, efficient, maintainable one. DevSecOpsFundamentals https://ajnacs.com/insights/finops-tagging-policy/ https://ajnacs.com/insights/finops-tagging-policy/ Fri, 12 Jun 2026 09:00:00 GMT A tagging policy that nobody enforces is worse than no tagging policy. Here's how to design a tagging taxonomy that survives contact with real engineering teams — with enforcement mechanisms, exceptions handling, and the tags that actually drive cost allocation decisions. FinOpsCloud ArchitectureCost Optimisation https://ajnacs.com/insights/os-namespaces-cgroups/ https://ajnacs.com/insights/os-namespaces-cgroups/ Tue, 02 Jun 2026 09:00:00 GMT How Linux namespaces isolate processes, filesystems, networks, and users — and how cgroups enforce resource limits. The primitives that Docker, Kubernetes, and every container runtime are built on. ProgrammingFundamentals https://ajnacs.com/insights/platform-eng-idp-design/ https://ajnacs.com/insights/platform-eng-idp-design/ Tue, 19 May 2026 09:00:00 GMT How to design the abstraction layer between your platform and your application teams — what to hide, what to expose, and how to build the golden paths that make good practices the easy practices. Engineering LeadershipArchitectureFundamentals https://ajnacs.com/insights/platform-eng-self-service/ https://ajnacs.com/insights/platform-eng-self-service/ Thu, 07 May 2026 09:00:00 GMT Scaffolding tools, infrastructure templates, self-service portals, and the approval workflows that give developers autonomy without turning the platform into a liability. Engineering LeadershipDevSecOpsFundamentals https://ajnacs.com/insights/containers-networking/ https://ajnacs.com/insights/containers-networking/ Tue, 28 Apr 2026 09:00:00 GMT Bridge networks, overlay networks, DNS-based service discovery, port publishing, and the iptables rules that make container networking work — and fail. DevSecOpsFundamentals https://ajnacs.com/insights/kubernetes-security-hardening/ https://ajnacs.com/insights/kubernetes-security-hardening/ Mon, 13 Apr 2026 09:00:00 GMT Default Kubernetes configurations are not production-secure. Here are the specific hardening controls — RBAC, Pod Security Standards, network policies, image policies, secrets management — that reduce attack surface and what each actually protects against. DevSecOpsContainersSecurity https://ajnacs.com/insights/back-of-envelope-system-design/ https://ajnacs.com/insights/back-of-envelope-system-design/ Wed, 01 Apr 2026 09:00:00 GMT Before the design review argues about frameworks, arithmetic should have eliminated half the options. The latency numbers worth memorizing, the estimation moves — traffic, storage, bandwidth, cost — and worked habits that turn guesses into engineering. ArchitecturePerformanceEngineering LeadershipCapacity Planning https://ajnacs.com/insights/deployment-strategies-blue-green-canary/ https://ajnacs.com/insights/deployment-strategies-blue-green-canary/ Fri, 20 Mar 2026 09:00:00 GMT Rolling updates, blue-green switches, canary releases, and shadow traffic — what each strategy really costs, what each protects against, and the database problem that constrains all of them. DeploymentPlatform EngineeringEngineering PracticeContainersReliability https://ajnacs.com/insights/java-legacy-modernization-roadmap/ https://ajnacs.com/insights/java-legacy-modernization-roadmap/ Tue, 10 Mar 2026 09:00:00 GMT Most enterprise Java still runs on versions the ecosystem has left behind. A staged roadmap for moving Java 8 estates to 21+ — what breaks, what to automate, how to sequence framework upgrades, and how to sell the work to the business. JavaModernizationTechnical DebtArchitectureEngineering Practice https://ajnacs.com/insights/java-virtual-threads-enterprise/ https://ajnacs.com/insights/java-virtual-threads-enterprise/ Tue, 24 Feb 2026 09:00:00 GMT Java 21's virtual threads promise massive concurrency without reactive complexity. Here's what actually changes in enterprise services — thread pool math, pinning pitfalls, connection pools as the new bottleneck, and when reactive still wins. JavaJVMConcurrencyPerformanceArchitecture https://ajnacs.com/insights/multi-region-architecture-patterns/ https://ajnacs.com/insights/multi-region-architecture-patterns/ Thu, 12 Feb 2026 09:00:00 GMT Active-passive, pilot light, active-active, and the data problem underneath them all. A tiered framework for multi-region design that matches architecture to actual availability requirements — and prices the tiers honestly. Cloud ArchitectureArchitectureReliabilityDisaster RecoveryDistributed Systems https://ajnacs.com/insights/queueing-theory-for-engineers/ https://ajnacs.com/insights/queueing-theory-for-engineers/ Tue, 03 Feb 2026 09:00:00 GMT Little's Law, the utilization-latency curve, and variability's tax — the three results that explain most capacity mysteries, from connection pools to on-call load. No calculus required, just the intuitions that make systems behavior predictable. PerformanceCapacity PlanningReliabilityDistributed SystemsArchitecture https://ajnacs.com/insights/strangler-fig-legacy-migration/ https://ajnacs.com/insights/strangler-fig-legacy-migration/ Mon, 19 Jan 2026 09:00:00 GMT Everyone cites the strangler pattern; few finish a strangulation. The facade and routing mechanics, the data-migration sequencing that makes or breaks it, the organizational funding model, and the anti-patterns that leave estates half-strangled forever. Legacy ModernizationArchitectureDistributed SystemsEngineering PracticeTechnical Debt https://ajnacs.com/insights/designing-for-failure-resilience-patterns/ https://ajnacs.com/insights/designing-for-failure-resilience-patterns/ Wed, 07 Jan 2026 09:00:00 GMT Circuit breakers, bulkheads, retry logic, chaos engineering — the resilience patterns that genuinely reduce MTTR and the ones that look good on architecture diagrams but fail when things get real. Cloud ArchitectureInfrastructureObservability https://ajnacs.com/insights/postgresql-performance-tuning/ https://ajnacs.com/insights/postgresql-performance-tuning/ Fri, 26 Dec 2025 09:00:00 GMT PostgreSQL's default configuration is conservative, designed for small deployments. For production workloads, the settings that control memory, parallelism, WAL behavior, and connection handling need explicit tuning. Here's where to start. Data EngineeringProgrammingCloud Architecture https://ajnacs.com/insights/ai-cost-management-production/ https://ajnacs.com/insights/ai-cost-management-production/ Tue, 16 Dec 2025 09:00:00 GMT LLM API costs scale with usage in ways that surprise teams used to fixed infrastructure pricing. Here's how to build cost visibility, set sensible ceilings, and optimize prompt design without breaking the features that depend on it. AI & MLOpsFinOpsEnterprise AI https://ajnacs.com/insights/containers-kubernetes-fundamentals/ https://ajnacs.com/insights/containers-kubernetes-fundamentals/ Tue, 02 Dec 2025 09:00:00 GMT Pods, Deployments, Services, ConfigMaps, and the control loop that keeps your containers running. The honest introduction to Kubernetes for engineers who want to understand it, not just use it. DevSecOpsCloud ArchitectureFundamentals https://ajnacs.com/insights/reserved-instance-rationalization/ https://ajnacs.com/insights/reserved-instance-rationalization/ Thu, 20 Nov 2025 09:00:00 GMT Committed use discounts (Reserved Instances, Savings Plans, CUDs) are one of the highest-return FinOps actions — but committing to the wrong shape or term locks in waste. Here's the analysis process for getting it right. FinOpsCost OptimisationCloud Architecture https://ajnacs.com/insights/gcp-cost-management/ https://ajnacs.com/insights/gcp-cost-management/ Tue, 11 Nov 2025 09:00:00 GMT Google Cloud's cost optimization tools are extensive but spread across multiple products. Here's how Committed Use Discounts, the Recommender API, and billing export to BigQuery work together for a complete FinOps practice. FinOpsCloud Architecture https://ajnacs.com/insights/supply-chain-security-sbom/ https://ajnacs.com/insights/supply-chain-security-sbom/ Mon, 27 Oct 2025 09:00:00 GMT The software supply chain attack surface is large and growing. SBOMs, dependency scanning, and provenance verification are the practical measures that reduce real risk — here's what each covers and where the gaps are. DevSecOpsArchitecture https://ajnacs.com/insights/cloud-unit-economics/ https://ajnacs.com/insights/cloud-unit-economics/ Wed, 15 Oct 2025 09:00:00 GMT Talking about cloud spend in absolute dollars rarely leads anywhere useful. Unit economics — cost per transaction, cost per user, cost per GB processed — creates the context that turns 'we spend too much on cloud' into an actionable conversation. FinOpsCost OptimisationEngineering Leadership https://ajnacs.com/insights/structured-logging-practices/ https://ajnacs.com/insights/structured-logging-practices/ Fri, 03 Oct 2025 09:00:00 GMT Logs are the most expensive telemetry most organizations run and the least designed. Event schemas, correlation context, level discipline, sampling, and the cost engineering that keeps the logging bill from becoming the observability program's obituary. ObservabilityProgrammingPlatform EngineeringReliabilityCloud Architecture https://ajnacs.com/insights/trace-sampling-strategies/ https://ajnacs.com/insights/trace-sampling-strategies/ Tue, 23 Sep 2025 09:00:00 GMT Distributed tracing at production volume is a sampling problem wearing an instrumentation costume — head vs tail sampling, the consistency rules that keep traces whole, error-and-latency-biased retention, and the cost architecture of an honest tracing pipeline. ObservabilityDistributed SystemsReliabilityPerformanceCloud Architecture https://ajnacs.com/insights/weblogic-domains-clusters-explained/ https://ajnacs.com/insights/weblogic-domains-clusters-explained/ Tue, 09 Sep 2025 09:00:00 GMT Admin servers, managed servers, clusters, machines, and Node Manager — the WebLogic domain model explained for people who have to run it, not just pass the exam. What each piece does, how they fit together, and where production deployments go wrong. JavaWebLogicMiddlewareArchitecture https://ajnacs.com/insights/weblogic-jms-production-configuration/ https://ajnacs.com/insights/weblogic-jms-production-configuration/ Thu, 28 Aug 2025 09:00:00 GMT JMS servers, persistent stores, distributed destinations, and connection factories — how WebLogic messaging actually fits together, and the configuration decisions that determine whether your queues survive a server failure. JavaWebLogicMiddlewareMessagingArchitecture https://ajnacs.com/insights/weblogic-performance-tuning/ https://ajnacs.com/insights/weblogic-performance-tuning/ Tue, 19 Aug 2025 09:00:00 GMT A field guide to tuning WebLogic Server in production — the self-tuning thread pool, work managers, JDBC connection pools, JVM settings, and the diagnostic tools that tell you which knob to turn. JavaWebLogicMiddlewarePerformanceArchitecture https://ajnacs.com/insights/database-replication-patterns/ https://ajnacs.com/insights/database-replication-patterns/ Mon, 04 Aug 2025 09:00:00 GMT Database replication serves two distinct goals — high availability (survive a primary failure) and read scaling (distribute read traffic). The configuration that optimizes for one is often wrong for the other. Data EngineeringCloud Architecture https://ajnacs.com/insights/aiml-what-is-machine-learning/ https://ajnacs.com/insights/aiml-what-is-machine-learning/ Wed, 23 Jul 2025 09:00:00 GMT A precise definition of machine learning, the difference between supervised, unsupervised, and reinforcement learning, and why understanding the category matters before choosing an approach. AI & MLOpsFundamentals https://ajnacs.com/insights/cloud-migration-common-failures/ https://ajnacs.com/insights/cloud-migration-common-failures/ Fri, 11 Jul 2025 09:00:00 GMT Cloud migrations that fail share recognisable patterns — lift-and-shift with no optimization, underestimated dependency complexity, inadequate cost modeling. Understanding these patterns before starting is preventable failure. Cloud ArchitectureEngineering Leadership https://ajnacs.com/insights/database-migration-strategies/ https://ajnacs.com/insights/database-migration-strategies/ Tue, 01 Jul 2025 09:00:00 GMT Zero-downtime database migrations are possible but require discipline — dual-write patterns, schema compatibility phases, and a rollback plan that you've actually tested. Here's what works at production scale. Data EngineeringCloud ArchitectureEngineering Leadership https://ajnacs.com/insights/mttr-reduction-playbook/ https://ajnacs.com/insights/mttr-reduction-playbook/ Tue, 17 Jun 2025 09:00:00 GMT Mean Time to Recover is a lagging indicator — improving it requires leading investments in observability, runbooks, team practice, and architecture. Here's how to structure those investments and measure whether they're working. Engineering LeadershipObservabilityDevSecOps https://ajnacs.com/insights/running-local-llm-lessons/ https://ajnacs.com/insights/running-local-llm-lessons/ Thu, 05 Jun 2025 09:00:00 GMT I started running local LLMs as a cost experiment. It became a privacy practice, a performance benchmark, and an education in what language models actually need to function well. Here's the honest version of what I found. Enterprise AIEmerging Technology