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      <title>Alek&#x27;s Blog - guide</title>
      <link>https://blog.none.at</link>
      <description>Production notes on Kubernetes, OpenShift, and OVHcloud: observability, log archiving, service mesh, LLM inference, and digital sovereignty.</description>
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      <language>en</language>
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      <lastBuildDate>Thu, 09 Jul 2026 00:00:00 +0000</lastBuildDate>
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          <title>Digital Sovereignty: The Complete Guide</title>
          <pubDate>Thu, 09 Jul 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-07-09-sovereignty-guide/</link>
          <guid>https://blog.none.at/blog/2026/2026-07-09-sovereignty-guide/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-07-09-sovereignty-guide/">&lt;p&gt;This is the index and reading guide for a six-part series built around one idea: “sovereign cloud”
is a marketing label until it’s tested against something specific. Part 1 sets out five concrete
questions to test it against instead of taking the label at face value; Parts 2 through 6 are the
deep-dives that answer each one in turn — grounded, wherever possible, in research or systems
already published elsewhere on this blog rather than written fresh for the series.&lt;&#x2F;p&gt;</description>
      </item>
      <item>
          <title>The Kubernetes &amp; OpenShift Best Practices Guide (2026 Edition)</title>
          <pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-07-01-kubernetes-openshift-best-practices-guide-2026/</link>
          <guid>https://blog.none.at/blog/2026/2026-07-01-kubernetes-openshift-best-practices-guide-2026/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-07-01-kubernetes-openshift-best-practices-guide-2026/">&lt;p&gt;This is the index and reading guide for a seven-part series on running Kubernetes and OpenShift in
production, written from the vantage point of 2026 and eight years of hands-on cluster design,
Day-2 operations, and production debugging. Each part stands on its own; together they cover a
workload’s whole life on the platform — from the image it ships in to the audit trail it leaves
behind.&lt;&#x2F;p&gt;</description>
      </item>
      <item>
          <title>(D)DoS and Application Security: The Complete Guide</title>
          <pubDate>Fri, 19 Jun 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-06-19-ddos-guide/</link>
          <guid>https://blog.none.at/blog/2026/2026-06-19-ddos-guide/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-06-19-ddos-guide/">&lt;p&gt;This is the index and reading guide for a three-part series on denial-of-service and application
security. The first two parts cover &lt;strong&gt;availability&lt;&#x2F;strong&gt; attacks — a service being made unreachable or
unusable — at levels most people don’t associate with the term “DDoS”: the business level (losing
the people who run the service), the social level (manipulating the humans behind it), the
informational level (reputational disruption), and finally the technical level most readers expect
(network floods, BGP hijacking, Layer 7 exhaustion). The third part is a deliberate step sideways,
into application-layer attacks — SQL Injection, Log4Shell, the OWASP Top 10 — that threaten
&lt;strong&gt;confidentiality and integrity&lt;&#x2F;strong&gt; instead of availability.&lt;&#x2F;p&gt;</description>
      </item>
      <item>
          <title>LLM Inference on OVH MKS: The Complete Guide</title>
          <pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-06-02-llm-inference-on-ovh-guide/</link>
          <guid>https://blog.none.at/blog/2026/2026-06-02-llm-inference-on-ovh-guide/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-06-02-llm-inference-on-ovh-guide/">&lt;p&gt;This is the index and reading guide for a six-part series on self-hosting LLM inference on a
GPU-enabled Kubernetes node pool, using OVH Managed Kubernetes Service (MKS) as the concrete
platform throughout. The series runs end to end: the decision of whether to self-host at all,
provisioning the GPU infrastructure, serving a model behind an OpenAI-compatible API, wiring up
observability and autoscaling, connecting real client tools, and finally putting a multi-user
gateway in front of the whole thing.&lt;&#x2F;p&gt;</description>
      </item>
      <item>
          <title>SigNoz on OVH MKS: The Complete Guide</title>
          <pubDate>Sat, 16 May 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-05-16-signoz-on-ovh-guide/</link>
          <guid>https://blog.none.at/blog/2026/2026-05-16-signoz-on-ovh-guide/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-05-16-signoz-on-ovh-guide/">&lt;p&gt;This is the index and reading guide for a three-part series that turns storage-engine theory into a
fully reproducible, sovereign observability stack: &lt;a rel=&quot;noopener external&quot; target=&quot;_blank&quot; href=&quot;https:&#x2F;&#x2F;signoz.io&quot;&gt;SigNoz&lt;&#x2F;a&gt; Community Edition on
OVH Managed Kubernetes Service (MKS), with metrics, distributed traces, and logs all stored in a
single ClickHouse cluster and cold-tiered to OVH Object Storage Infrequent Access. It is an
alternative to hyperscaler-locked observability SaaS, built as a working example repository rather
than a slide deck — clone it, fill in credentials, run Terraform and Ansible. Unlike a stack that
bolts together Prometheus, Jaeger or Tempo, and Loki or Elasticsearch as three separately-operated
databases, SigNoz stores metrics, traces, and logs together in ClickHouse from the start — one
retention policy, one S3 tiering config, one SQL interface, instead of three.&lt;&#x2F;p&gt;</description>
      </item>
      <item>
          <title>AWS vs. GCP vs. Azure vs. OVHcloud: The Complete Guide to Managed Log Archiving</title>
          <pubDate>Thu, 14 May 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-05-14-aws-gcp-azure-ovh-log-archiving-guide/</link>
          <guid>https://blog.none.at/blog/2026/2026-05-14-aws-gcp-azure-ovh-log-archiving-guide/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-05-14-aws-gcp-azure-ovh-log-archiving-guide/">&lt;p&gt;This is the index and reading guide for a six-part series comparing managed log archiving
on AWS, GCP, Azure, and OVHcloud for retention periods of seven years or more. It is
written for teams that have to choose between a hyperscaler’s managed log service and a
self-hosted alternative on OVH, and who need the comparison grounded in real prices, real
API behaviour, and real operational constraints rather than marketing copy. Each part
stands on its own; together they walk the full lifecycle of a long-term log archive — from
what it costs, through how it is built and secured, to how it is run and audited years
after the first log lands.&lt;&#x2F;p&gt;</description>
      </item>
      <item>
          <title>Elasticsearch vs. OpenSearch vs. Loki vs. Quickwit vs. ClickHouse: The Complete Guide</title>
          <pubDate>Thu, 14 May 2026 00:00:00 +0000</pubDate>
          <author>aleks</author>
          <link>https://blog.none.at/blog/2026/2026-05-14-es-os-loki-quickwit-clickhouse-guide/</link>
          <guid>https://blog.none.at/blog/2026/2026-05-14-es-os-loki-quickwit-clickhouse-guide/</guid>
          <description xml:base="https://blog.none.at/blog/2026/2026-05-14-es-os-loki-quickwit-clickhouse-guide/">&lt;p&gt;This is the index and reading guide for a five-part series comparing Elasticsearch,
OpenSearch, Grafana Loki, Quickwit, and ClickHouse as backends for long-term log archiving —
retention measured in years, not days. It is for anyone choosing or operating a log-storage
backend: the comparison is empirically grounded across storage tiering, operations, security,
and day-to-day usability, and closes with a full working ClickHouse pipeline running on OVH
Managed Kubernetes Service (MKS).&lt;&#x2F;p&gt;</description>
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