How Open-Source Automation Tools Handle the Testing Problem That Cloud-Native Independent Deployment Creates
Independent deployment creates a coverage currency problem manual maintenance cannot scale to address. Learn how open-source automation tools handle it structurally. ...
Sancharini Panda | | API mocking, behavioral drift, CI/CD testing, Cloud-Native Testing, contract testing, coverage currency, eBPF, go-vcr, independent deployment, integration test fixtures, integration testing, Keploy, Kubernetes testing, Microcks, microservices testing, open-source automation tools, Pact, platform engineering, record and replay testing, service dependencies, test automation, Testcontainers, VCR, VCR.py, WireMock
The Telemetry Debt Crisis: Why Cloud-Native Teams are Optimizing the Wrong Metric
Telemetry debt is overwhelming engineering teams with noisy alerts, unused dashboards and rising observability costs. Here’s how to identify, reduce and prevent it ...
David Iyanu Jonathan | | adaptive sampling, AI observability, alert fatigue, dashboard sprawl, eBPF observability, FinOps, incident response, log management, metric cardinality, MTTR, observability as code, observability costs, observability maturity, observability strategy, OpenTelemetry, platform engineering, telemetry governance, telemetry ROI, trace data
Beyond the Model: Why AI Agent Orchestration Requires Cloud-Native Engineering
AI agent orchestration is a distributed systems challenge. Cloud-native engineering provides the resilience, observability, security and scalability needed for production AI ...
Nithiya Dharshini | | agent communication, agentic AI infrastructure, AI agent orchestration, AI governance, AI infrastructure, AI observability, AI scalability, AI security, AI workflow monitoring, AI workload management, automated scaling, cloud native AI, cloud-native engineering, containerized AI services, distributed AI systems, distributed tracing, enterprise AI agents, event-driven architecture, GitOps, Kubernetes for AI, multi-agent systems, platform engineering, production AI systems, resilient AI systems
Building a Secure Software Development Lifecycle (SSDLC) for Cloud-Native Teams
As cloud-native architectures continue to redefine how applications are built and deployed, security must evolve alongside them. Often bolted on at the end of development, traditional approaches are no longer sufficient in ...
What Test Automation Tools Need to Handle When AI is Generating Cloud-Native Code at Scale
AI coding assistants change what test automation tools need to handle in cloud-native environments. Explore where the gaps concentrate and what to address ...
How AI SaaS Platforms Are Transforming Cloud-Native Applications
By combining the scalability of cloud-native architecture with the intelligence of AI, businesses can create applications that are not only efficient but also adaptive and future-ready ...
Cloud-Native’s Interest Payment Just Came Due
We spent a decade telling each other that cloud-native was how you move fast. Break the monolith into services. Put everything in containers. Declare your infrastructure. Add a service mesh, a GitOps ...
Rediscovering RocksDB – Embedded Storage in Cloud-Native Applications
Originally developed at Facebook and built on top of LevelDB, RocksDB is an embedded key-value store designed for fast local storage ...
Linkerd 2.20, the Latest Release of the Cloud-Native Service Mesh, Arrives
Linkerd 2.20 maintainer Buoyant claims it has slashed control plane memory usage by 85% in this version. If you want a lean, mean cloud-native mesh, Linkerd is for you. This latest release ...
How Cloud-Native Complexity is Outpacing Test Automation Strategy
Cloud-native architectures evolve faster than most test automation strategies. Understand where the gap is widest and what teams can do about it. ...

