Found 984 results for: Microservices
Latency is the silent killer of microservices. In this deep dive, we explore kernel-level tuning, NGINX optimizations, and the impact of the recent Schrems II ruling on your infrastructure choices.
Your microservices aren't slow; your gateway configuration is. We dive deep into kernel-level tuning, Nginx keepalives, and why KVM virtualization is non-negotiable for high-performance edge routing in Norway.
Microservices were supposed to simplify development, but they complicated operations. Here is a pragmatic, no-nonsense guide to deploying Istio 1.6 without destroying your latency budgets, focusing on the specific infrastructure needs of the Nordic market.
Microservices turn method calls into network calls, and network calls fail. Here is how to implement Istio 1.6 correctly without killing your latency, focused on high-performance infrastructure in Norway.
Your microservices aren't slow; your gateway configuration is. A deep dive into kernel tuning, upstream keepalives, and selecting the right infrastructure for low-latency APIs in the Nordics.
Microservices are a black box without proper tracing. We explore how to deploy the OpenTelemetry Collector (Beta) on CoolVDS to visualize bottlenecks without destroying application performance.
Microservices solve scaling but break networking. Learn how to deploy Istio 1.3 without destroying your latency budgets, and why underlying hardware choice determines mesh stability.
Microservices solve code complexity but introduce network hell. Learn how to implement Istio 1.2 correctly without destroying latency, specifically tailored for high-performance Norwegian infrastructure.
Microservices solving logic problems but creating network nightmares? We break down how to deploy a Service Mesh in 2019 without killing your latency, ensuring GDPR compliance for Norwegian workloads.
Microservices solve scaling but break networking. Here is a battle-tested guide to deploying Istio 1.1 on dedicated KVM resources, managing the sidecar overhead, and achieving strict mTLS compliance in Norway.
Latency is the silent killer of microservices. We explore deep kernel tuning, Nginx buffer optimization, and the hardware realities of hosting high-throughput API gateways in Norway.
It is late 2018, and microservices are creating management nightmares. Learn how to implement Istio 1.0 correctly without killing your performance, specifically tailored for Norwegian data compliance and high-performance NVMe VPS environments.
Stateless microservices are easy, but your database needs a home. We dissect the challenges of persistent storage in Kubernetes, compare GlusterFS vs. Ceph, and explain why underlying hardware latency determines the success of your distributed storage layer.
Stop relying on passive health checks. In the era of microservices and distributed systems, green dashboards hide critical failures. Here is how to build a true observability stack on Norwegian infrastructure using Prometheus, ELK, and raw NVMe power.
It is not enough to know if your server is online. In the age of microservices and GDPR, you need to know why it is slow. We dissect the shift from Nagios-style monitoring to full-stack observability using Prometheus, ELK, and proper infrastructure.
Passive monitoring is dead. In the wake of GDPR and microservices, learn how to implement active time-series monitoring using Prometheus and Grafana on KVM-based infrastructure.
Your microservices aren't slow—your gateway is choking. A deep dive into Linux kernel tuning, NGINX optimization, and why hardware selection matters for low-latency APIs in the post-GDPR era.
Microservices solve code complexity but introduce network chaos. In this 2018 implementation guide, we deploy the newly released Istio 1.0 to secure and monitor traffic, while discussing why underlying hardware choices like NVMe and dedicated CPU cycles define your mesh's success.
It is June 2018. GDPR is live, microservices are expanding, and standard monitoring checks are no longer enough. Learn how to implement true observability using Prometheus, ELK, and high-performance infrastructure without violating Norwegian data laws.
With GDPR enforcement just days away and microservices complicating architectures, green Nagios checks aren't enough. Learn why 2018 demands a shift to Prometheus, ELK, and OpenTracing to debug the 'unknown unknowns'.
While NGINX remains the web server king, microservices demand something smarter. We dissect Lyft's Envoy Proxy, its xDS API, and why running it on inferior I/O infrastructure is a recipe for latency disasters.
Your API gateway is likely the choke point of your microservices architecture. We dissect kernel tuning, SSL termination strategies, and why NVMe storage is non-negotiable for high-throughput systems in 2018.
Microservices solve code complexity but introduce network chaos. This guide dissects how to deploy Linkerd as a Service Mesh on Kubernetes 1.6 to handle circuit breaking and discovery, ensuring your Nordic infrastructure survives high concurrency.
Bottlenecks in your API gateway can cripple your microservices. We dive into kernel-level tuning, Nginx worker optimization, and the infrastructure requirements needed to handle 10k+ requests per second in a pre-GDPR world.
Your microservices architecture is only as fast as its slowest choke point. We dive deep into kernel-level tuning, NGINX keepalives, and hardware selection to slash latency in 2017.
Latency is the silent killer of microservices. In this deep dive, we bypass default settings to tune the Linux kernel, optimize SSL handshakes, and configure Nginx for raw throughput on high-performance KVM infrastructure.
Microservices are breaking your network stability. Learn how to implement a Service Mesh using Linkerd on Kubernetes 1.5 to handle service discovery, retries, and latency without code changes.
Microservices are adding network hops that kill your latency. In this deep dive, we strip down Nginx and Kernel parameters to handle high-concurrency loads on Norwegian infrastructure.
Microservices are exploding, but so is your latency. Learn how to tune Nginx, optimize Linux kernel parameters for high concurrency, and why hardware selection determines 50% of your API's response time.
Your API Gateway is likely the bottleneck in your microservices stack. We dive deep into Linux kernel tuning, NGINX worker configurations, and the hardware reality of low-latency serving in 2016.