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Discover our latest articles about cloud-native technologies, Kubernetes, DevOps, and modern software development. From practical tutorials to in-depth analyses.
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Stay up to date with our latest articles about cloud-native technologies, Kubernetes, and DevOps.
1219 posts
**1. Why is the standard cloud bill for Kubernetes costs unusable?** Cloud providers issue bills for instances (VMs). However, Kubernetes distributes these instances across many teams and apps. Without K8s-native tools, you only see the total sum, but not which service is causing the costs.
The classic Horizontal Pod Autoscaler (HPA) of Kubernetes is like a thermostat: When the room gets too warm (CPU > 80%), the air conditioning kicks in. This works well for standard web apps but fails in modern, event-driven architectures.
"Base64 is not encryption." This phrase should be displayed prominently in every platform engineering team. Default Kubernetes Secrets are merely encoded, not encrypted. Anyone with access to the API or the etcd backend can read passwords, API keys, and certificates in plain text.
In 2026, compliance is no longer a "paper tiger." With regulations like the Cyber Resilience Act or certifications such as ISO 27001 and TISAX, IT leaders face a daunting task: proving that security policies not only exist but are enforced seamlessly and continuously in their Kubernetes clusters.
"We can't move that to the cloud, it's a monolith." We hear this sentence often. However, modernization in 2026 doesn't necessarily mean breaking down a mature Java or .NET application into tiny microservices (refactoring). Often, the faster and more economical route is **re-platforming** using the **sidecar pattern**.
For a long time, Kubernetes was considered the operating system for the "big" data center. But in 2026, the most exciting developments are happening at the network's edge. Whether it's image processing in a factory's quality control or inventory management in hundreds of retail stores, centralized cloud solutions are reaching their limits.
When companies invest in Platform Engineering, 90% of resources often go into technology: Kubernetes clusters, CI/CD pipelines, and security scanners. However, the success of a platform is determined not by uptime, but by the **Developer Experience (DevEx)**.
In the traditional IT world, budgeting was simple: you bought a server, depreciated it over five years, and recorded the costs as a fixed expense. In the Cloud-Native world of 2026, this predictability is gone. Cloud bills are dynamic, complex, and often decoupled from actual business success.
Imagine buying a ready-made meal at the supermarket without an ingredient list. For years, this was the standard in software development: we download container images from the internet and trust that what's inside matches the label. However, incidents like *Log4j* have shown that a single compromised library in the supply chain can cripple global infrastructures.
Many IT managers in medium-sized businesses feel secure because they "do backups." However, in a serious incident—such as a massive cloud provider outage, a ransomware attack, or a human error in the root config—they realize: A backup is not a recovery plan.
Polycrate CLI 0.29.5 addresses a critical bug: Endpoints with wildcard hostnames (*.example.com) can now be synchronized with the API.
In the IT world of 2026, sustainability is no longer just a marketing buzzword. With the expansion of EU reporting obligations (CSRD), IT decision-makers face a new challenge: they must not only estimate but accurately document the carbon footprint of their digital infrastructure.
Polycrate API 0.11.3 fixes the K8sCluster Workspace filter: UUIDs are now correctly recognized. Prerequisite for Polycrate CLI 0.29.4.
Polycrate CLI 0.29.4 addresses critical operator bugs: Cluster API sync with UUID filter, TLS port synchronization, and Node RBAC for finalizer management.
When an AI model leaves the training phase, the real challenge begins: productive inference operation. Serving a Large Language Model (LLM) in a standard container is inefficient. Latencies are too high, and GPU utilization is often poor because traditional web servers are not built for the sequential nature of token generation.
In a Retrieval Augmented Generation (RAG) architecture, the vector database (Vector DB) is the core component. It provides the Large Language Model (LLM) with context from your enterprise data. However, while traditional databases are primarily optimized for disk I/O, vector databases like **Qdrant, Weaviate, or Milvus** impose entirely new demands on your Kubernetes infrastructure.
Anyone operating traditional microservices knows: metrics, logs, and traces are the lifeline. However, conventional monitoring approaches hit their limits with AI workloads. A CPU utilization of 10% tells us nothing about whether the response quality of a language model is currently dropping or if the vector search is inefficient.
Polycrate CLI 0.29.3 introduces Host SSH-Agent Auto-Mount, branch-aware Git operations, and operator fixes for accepted_status_codes and wildcard hostnames.
Europe likes to see itself as a global guardian of data protection and fundamental rights. GDPR, NIS2, AI Act – the regulatory claim is high, the rhetoric confident. In operational reality, however, a different picture emerges: personal data of European citizens and companies is systematically outsourced to infrastructures lying outside European legal and control spheres. Not illegal, but politically shortsighted. Not out of necessity, but out of convenience.
The introduction of Artificial Intelligence in small and medium-sized enterprises has opened a new security front. When we train LLMs or build RAG systems (Retrieval Augmented Generation), we move massive amounts of sensitive data through our Kubernetes cluster—often directly onto powerful GPU nodes.
Integrating an NVIDIA H100 or A100 into your cluster today quickly reveals that the classic 1-to-1 allocation (one pod reserves an entire GPU) often results in massive capital waste in a production environment. While training LLMs fully utilizes the hardware, GPUs often idle at 10% utilization during inference operations or in development environments.
The excitement around Large Language Models (LLMs) and generative AI has brought a fundamental question back to IT departments: How do we scale Machine Learning (ML) workloads without creating parallel shadow IT?
Polycrate API 0.11.1 temporarily disables the automatic Alert Notification Loop. Note notifications and manual notifications remain active.
In the past two years, "Internal Developer Platform" has become a buzzword. However, while Gartner praises the IDP as a remedy for developers' cognitive overload, many internal projects end up as rigid abstraction layers that create more problems than they solve.
