# CtrlB

> Keep logs, metrics, and traces on object storage you own and search all of it in seconds. Use CtrlB directly or with your existing tools.

## Discovery files
- [AGENTS.md](https://ctrlb.ai/AGENTS.md): Orientation for AI agents crawling ctrlb.ai. (~930 tokens)
- [skill.md](https://ctrlb.ai/skill.md): Structured CtrlB capability blocks for tooling. (~613 tokens)
- [agent-permissions.json](https://ctrlb.ai/agent-permissions.json): Fetch policy and allowed patterns for bots. (~662 tokens)

## Pages (Markdown mirrors)
- [CtrlB — Data Lake for Security & Observability](https://ctrlb.ai/index.md): Keep logs, metrics, and traces on object storage you own and search all of it in seconds. Use CtrlB directly or with your existing tools. (~371 tokens)
- [Blog — CtrlB](https://ctrlb.ai/blogs.md): Articles on observability, telemetry pipelines, and architecture from CtrlB. (~233 tokens)
- [Pricing — CtrlB](https://ctrlb.ai/pricing.md): CtrlB pricing overview — Free tier, usage-based Pro, and Enterprise. (~164 tokens)
- [About us — CtrlB](https://ctrlb.ai/about-us.md): Meet the team building the CtrlB observability control plane. (~232 tokens)
- [Contact — CtrlB](https://ctrlb.ai/contact.md): Contact CtrlB for demos, support, partnerships, and careers. (~184 tokens)
- [Live debugger — CtrlB](https://ctrlb.ai/live-debugger.md): AI-driven, production-safe debugging with live context and on-demand telemetry via the CtrlB VS Code extension. (~324 tokens)
- [Control plane — CtrlB](https://ctrlb.ai/control-plane.md): Orchestrate OpenTelemetry collectors — centralized configuration and routing. (~299 tokens)
- [Sign up — CtrlB](https://ctrlb.ai/sign-up.md): Join the CtrlB beta / Flow early access. (~148 tokens)
- [Get started — CtrlB](https://ctrlb.ai/get-started.md): Schedule time with CtrlB to discuss observability rollout. (~201 tokens)
- [Privacy policy — CtrlB](https://ctrlb.ai/privacy.md): How CtrlB collects and protects personal data. (~131 tokens)
- [Terms of service — CtrlB](https://ctrlb.ai/terms.md): Terms and conditions for CtrlB products and services. (~162 tokens)
- [CtrlB Decompose](https://ctrlb.ai/decompose.md): Browser, CLI, and Rust library — compress noisy logs into structural patterns. (~190 tokens)
- [CtrlB Decompose — Documentation](https://ctrlb.ai/decompose/docs.md): Pipeline overview: timestamp extraction, CLP encoding, Drain3 clustering, typing, sketch stats. (~213 tokens)
- [Research — CtrlB](https://ctrlb.ai/research.md): CtrlB research papers and technical publications as downloadable PDFs. (~155 tokens)
- [Site map — CtrlB](https://ctrlb.ai/site-map.md): HTML index of major pages, topics, and authors. (~188 tokens)
- [Platform — CtrlB](https://ctrlb.ai/platform.md): One lake of open Parquet in object storage you own: collect from your fleet, search petabytes in seconds, analyse the whole history, and give agents the same access your engineers have. (~1268 tokens)
- [Deployment — CtrlB](https://ctrlb.ai/platform/deployment.md): Deploy CtrlB as SaaS, bring-your-own-bucket, or bring-your-own-cloud. Same Data Engine, AI Insights, and MCP — choose where Parquet and compute reside. (~848 tokens)
- [Collect & Control — CtrlB](https://ctrlb.ai/platform/collect.md): CtrlB Control Plane — configure, update, and govern OpenTelemetry collectors and agents from one place. (~260 tokens)
- [Search & Investigate — CtrlB](https://ctrlb.ai/platform/search.md): CtrlB Data Engine — full-text search, SQL, metrics, and traces on open Parquet in object storage you own. (~328 tokens)
- [Analyze & Correlate — CtrlB](https://ctrlb.ai/platform/analyze.md): CtrlB AI Insights — patterns, anomalies, and correlations across the full telemetry lake, not a sampled window. (~305 tokens)
- [Agent Access — CtrlB](https://ctrlb.ai/platform/agent-access.md): CtrlB MCP for Agents — a Model Context Protocol endpoint over the whole lake so any agent can query complete operational history. (~291 tokens)
- [AI agent investigations — CtrlB](https://ctrlb.ai/solutions/ai-agent-investigations.md): Give AI agents fast access to complete logs, metrics, and traces on your own object storage — sub-second queries, MCP-native, no sampling and no retention cliff. (~887 tokens)
- [Security analytics — CtrlB](https://ctrlb.ai/solutions/security-analytics.md): Search CloudTrail, WAF, VPC flow, and audit logs at petabyte scale on your own object storage — sub-second investigations without SIEM ingest pricing. (~910 tokens)
- [Observability — CtrlB](https://ctrlb.ai/solutions/observability.md): Logs, metrics, and traces on one open data layer in your own object storage — OpenTelemetry-native, PB scale, no hot/cold split. (~800 tokens)
- [Infinite cardinality metrics — CtrlB](https://ctrlb.ai/solutions/metrics-at-scale.md): High-cardinality metrics on object storage — tag by user, tenant, device, or LLM call with no allowlists, no drop rules, and no per-series pricing. (~861 tokens)
- [Extend your existing stack — CtrlB](https://ctrlb.ai/solutions/extend-your-stack.md): Put CtrlB underneath Athena, Splunk, Datadog, or Microsoft Sentinel — keep your existing workflows and move volume and long-tail retention to your own object storage. (~1334 tokens)
- [AWS and CloudTrail logs — CtrlB](https://ctrlb.ai/solutions/aws-cloudtrail.md): Search CloudTrail, VPC flow, and WAF logs at petabyte scale directly on the S3 buckets you already have — sub-second queries without a SIEM ingest bill. (~844 tokens)
- [Kubernetes monitoring — CtrlB](https://ctrlb.ai/solutions/kubernetes.md): Logs, metrics, and traces from Kubernetes on your own object storage — per-pod and per-namespace dimensions with no cardinality ceiling and no drop rules. (~769 tokens)
- [OpenTelemetry — CtrlB](https://ctrlb.ai/solutions/opentelemetry.md): An OpenTelemetry-native backend that stores logs, metrics, and traces as open Parquet in object storage you own — no proprietary index, no agent rewrite. (~726 tokens)
- [Azure monitoring — CtrlB](https://ctrlb.ai/solutions/azure.md): Keep Azure Activity, Entra ID sign-in, and diagnostic logs searchable at PB scale on your own storage account — no analytics-tier decision and no restore-before-query. (~678 tokens)
- [Google Cloud monitoring — CtrlB](https://ctrlb.ai/solutions/google-cloud.md): Search Google Cloud audit, VPC flow, and GKE logs at PB scale directly on the GCS buckets your log sinks already write to. (~719 tokens)
- [Zepto customer story — CtrlB](https://ctrlb.ai/customers/zepto.md): How Zepto searches 1.3 PB a month of WAF and CloudTrail on its own object storage — five-minute Athena queries became sub-second searches. (~504 tokens)

## Articles
- [Top 10 observability tools and Platforms in 2026](https://ctrlb.ai/blogs/best-observability-tools-in-2026.md): Ten platforms, what each one is actually good at, what it costs, and who it suits. Written for teams who have settled on OpenTelemetry fo… (~4890 tokens)
- [Your Observability Stack Was Built for Humans. AI Agents Don't Work That Way.](https://ctrlb.ai/blogs/ai-coding-agents-your-observability-stack-was-built-for-humans.md): A developer asks an AI coding agent, “Why did checkout errors spike at 14:20?” The agent doesn't run one query and wait for an answer. It… (~1823 tokens)
- [A faster alternative to DuckDB](https://ctrlb.ai/blogs/a-faster-alternative-to-duckdb.md): DuckDB set the bar for querying Parquet on one machine. We put CtrlB next to it on ClickBench, same hardware, same file, same 43 queries.… (~1715 tokens)
- [Your LLM doesn't need to read the same log line 900,000 times](https://ctrlb.ai/blogs/ctrlb_decompose.md): ctrlb-decompose separates what repeats in your logs from what actually changes. This is the math, the single-pass algorithm, and the type… (~3319 tokens)
- [CtrlB tops ClickBench: Analytical Search and Full-Text Search](https://ctrlb.ai/blogs/ctrlb-vs-clickhouse.md): Incident work is narrow and impatient. You look up one trace identifier, match one error substring, or isolate a single short-lived conta… (~1520 tokens)
- [One unified data lake vs.  a fragmented stack](https://ctrlb.ai/blogs/one-unified-data-lake-vs.-a-fragmented-stack.md): The Grafana LGTM stack (Loki, Mimir, Tempo) spreads every signal across separate backends you must wire together and tune. CtrlB takes th… (~2505 tokens)
- [Choosing to Drop the Vendor Workspace and Going Headless Instead](https://ctrlb.ai/blogs/headless_observability.md): Every few weeks another "AI-native" observability tool shows up, promising to debug production for you: autonomous triage, agentic root-c… (~2557 tokens)
- [Turning Telemetry into Reliability Targets the Business Can Trust ](https://ctrlb.ai/blogs/turning-telemetry-into-reliability-targets-the-bus.md): A field guide for OpenTelemetry-native organizations that want service level objectives their engineers and their leadership can both sta… (~2889 tokens)
- [CtrlB or Datadog: Which Log Management Platform Should You Choose?](https://ctrlb.ai/blogs/ctrlb-vs-datadog.md): Take Control of Your Telemetry with CtrlB: Petabyte-scale observability on open standards, no vendor lock-in, no surprise bills. 1 / 8 Da… (~881 tokens)
- [Unlocking Headless Observability: The Power of MCP](https://ctrlb.ai/blogs/unlocking-headless-observability-the-power-of-mcp.md): Picture this: PagerDuty just woke you up. The billing service is throwing 500 errors, and customer checkouts are failing. What is your ne… (~1737 tokens)
- [Architecture Deep Dive: Why CtrlB’s LSM Approach Outperforms MergeTrees for Observability. ](https://ctrlb.ai/blogs/architecture-deep-dive.md): Introduction ClickHouse is a remarkable piece of engineering. Its MergeTree engine has rightfully earned its place as the gold standard f… (~1678 tokens)
- [We Raised $2.5M Seed Funding to build the Future of Search](https://ctrlb.ai/blogs/seed-funding.md): We Raised $2.5M Seed Funding to build the Future of Search (~437 tokens)
- [Optimizing Kubernetes Observability with CtrlB’s Schema-Agnostic Ingestion](https://ctrlb.ai/blogs/optimising-kubernetes-observability-schema-agnostic.md): Kubernetes observability generates chaos. Every pod, container, and service emits logs, traces, and metrics, each in different formats. C… (~1502 tokens)
- [Resilient Architectures for Cloud-Native Log Handling](https://ctrlb.ai/blogs/blog_resilient_architecures.md): Your cloud-native service just scaled to hundreds of containers. Each one is generating logs. Your logging pipeline? It just crashed. Wel… (~1192 tokens)
- [Evolving Observability Standards in Multi-Cloud Architectures](https://ctrlb.ai/blogs/evolving-observability-standards-in-multi-cloud-ar.md): As more organizations adopt multi-cloud strategies to use the best services from each provider and avoid being locked into one vendor, ob… (~1043 tokens)
- [Optimizing Ingestion from Diverse Sources in Unified Data Lakes](https://ctrlb.ai/blogs/optimizing_ingestion-from-diverse-sources-in-data-lakes.md): Data is everywhere today, in apps, servers, devices, and cloud platforms. To make sense of it all, businesses need a single place to stor… (~1310 tokens)
- [Cost-Effective Telemetry Scaling with CtrlB’s Cloud Object Storage](https://ctrlb.ai/blogs/cost-effective-telemetry-scaling.md): Observability isn’t just about insight anymore, it’s about cost. As systems scale, telemetry (logs, traces, metrics) becomes one of the f… (~1662 tokens)
- [Sustainable Practices in Large-Scale Log Data Management](https://ctrlb.ai/blogs/sustainable-practices-in-large-scale-log-data-mana.md): As organizations generate ever-increasing volumes of log data, the environmental impact of storing and processing this information has be… (~1287 tokens)
- [Optimizing Observability for Edge Computing Environments](https://ctrlb.ai/blogs/optimizing-observability-for-edge-computing-enviro.md): Why Observability at the Edge Matters Edge computing pushes data processing closer to where it’s generated factories, retail stores, auto… (~2132 tokens)
- [Detecting Node-Hopping Attackers: Correlating Traces and Logs at Sub-Second Speed](https://ctrlb.ai/blogs/detecting-node-hopping-attackers-correlating-trace.md): Introduction Modern cyberattacks rarely stop at a single system. Once inside, attackers often move laterally, jumping between machines an… (~1653 tokens)
- [Beyond Index‑Only: Building Tiered Observability with CtrlB](https://ctrlb.ai/blogs/beyond-indexonly-building-tiered-observability-wit.md): What’s Wrong With the Old Way of Logging? For years, the default way to handle logs has been simple: collect everything, index everything… (~1190 tokens)
- [Index Is Just One Tool: Why Observability Needs Multiple Storage Patterns](https://ctrlb.ai/blogs/index-is-just-one-tool-why-observability-needs-mul.md): TL;DR: Indexes are great, but they’re not a religion. At a modern scale, “index everything” slows writes and bloats storage. Observabilit… (~1452 tokens)
- [From Alert to Action: Incident Response in a Search‑First World](https://ctrlb.ai/blogs/from-alert-to-action-incident-response-in-a-search.md): Introduction In today’s fast-changing, cloud-based systems, developers and SREs deal with more moving parts than ever. Systems are highly… (~1300 tokens)
- [Immutable Audit Trails: How CtrlB Helps You Prove What Happened](https://ctrlb.ai/blogs/immutable-audit-trails-how-ctrlb-helps-you-prove-w.md): In cloud-native apps, logs are the source of truth. They record errors, user actions, and security events. If logs can be edited or delet… (~1109 tokens)
- [Cold Storage Doesn’t Have to Be Cold: How CtrlB Keeps Your Old Logs Lively](https://ctrlb.ai/blogs/cold-storage-doesnt-have-to-be-cold-how-ctrlb-keep.md): Ever feel like searching old logs means digging through a dusty basement? Imagine you're on a midnight debug mission, trying to find a cl… (~1604 tokens)
- [When Logs Lie: The Risk of Blind Trust in Ingested Data](https://ctrlb.ai/blogs/when-logs-lie-the-risk-of-blind-trust-in-ingested-.md): Developers and IT professionals rely on logs every day to understand what’s happening in their systems. We treat logs as the diaries of o… (~1334 tokens)
- [Breaking Up with Pipelines: Why CtrlB’s On-Demand Ingestor Changes the Game](https://ctrlb.ai/blogs/breaking-up-with-pipelines-why-ctrlbs-on-demand-in.md): “Dear Pipelines, It’s not me, it’s you. I can’t handle your rigidity anymore. You cost too much, and honestly, you never change. I’ve fou… (~2578 tokens)
- [The Silent Threat of Stale Logs: Why Retrieval Speed Matters](https://ctrlb.ai/blogs/the-silent-threat-of-stale-logs-why-retrieval-spee.md): In today’s DevOps and security environments, logs are the backbone of observability, but only if they’re fresh. Stale logs (delayed, inco… (~1444 tokens)
- [Schemaless Logging: The Future of Scalable, Cloud-Native Observability](https://ctrlb.ai/blogs/schemaless-logging-the-future-of-scalable-cloud-na.md): Logging has come a long way. It started with plain text files, easy to write, but hard to search or analyze. Then came structured logging… (~1650 tokens)
- [Log Search Built for Developers](https://ctrlb.ai/blogs/log-search-built-for-developers.md): What Makes Traditional Log Search Hard for Developers? Today’s log search is often a tangled mess of dashboards, cryptic filters, and too… (~1821 tokens)
- [How to Optimise Queries in CtrlB](https://ctrlb.ai/blogs/how-to-optimise-queries-in-ctrlb.md): Logs are messy, especially in cloud-native systems where structure is an afterthought. CtrlB was built for that reality; its schema-less,… (~1220 tokens)
- [Data Strategy for SREs: Usability Over Cleanliness](https://ctrlb.ai/blogs/data-strategy-for-sres-usability-over-cleanliness.md): In cloud-native environments, teams collect massive volumes of logs, traces, and metrics. But when a service goes down or a user reports … (~2566 tokens)
- [Unstructured Data at Scale: Why Real-World Data Is Messy and How to Make It Useful](https://ctrlb.ai/blogs/unstructured-data-at-scale-why-real-world-data-is-.md): The Reality of Unstructured Data Most data today isn’t neatly organized in tables. Instead, it comes as logs, emails, chat messages, API … (~1226 tokens)
- [The Dashboard Trap: Why Graphs Aren’t Enough](https://ctrlb.ai/blogs/dashboards-are-not-debuggers.md): Dashboards are great. They help teams monitor system health, track key metrics, and spot when things start to go off track. When latency … (~1146 tokens)
- [The Cloud Dilemma: Balancing Observability at Scale](https://ctrlb.ai/blogs/the-cloud-dilemma-balancing-observability-at-scale.md): Modern engineering teams face a fundamental tension: cloud observability promises deep insight, but achieving it often forces trade-offs.… (~2066 tokens)
- [Control Plane: One Plane To Control Them All](https://ctrlb.ai/blogs/control-plane-one-plane-to-control-them-all.md): CtrlB provides a unified control plane for telemetry. It centralises management across all your OpenTelemetry collectors, with no need fo… (~1251 tokens)
- [Beyond Observability: Real-time Debugging in the age of cloud native](https://ctrlb.ai/blogs/beyond-observability-real-time-debugging-in-the-ag.md): Tldr: Most observability vendors are collecting data to surface insights later. CtrlB, through MCP and live instrumentation, enables aski… (~1641 tokens)
- [How To Turn Log Noise Into Real Signals](https://ctrlb.ai/blogs/how-to-turn-log-noise-into-real-signals.md): Logs are loud. Your systems shouldn’t be. In any production system, logs are everywhere: APIs, background workers, frontend proxies, and … (~1354 tokens)
- [The Role of AI in Observability: Hype or Hope?](https://ctrlb.ai/blogs/the-role-of-ai-in-observability.md): Applications today aren’t just a few servers with predictable traffic; they’re made up of hundreds of moving parts, spread across clouds,… (~914 tokens)
- [Observability Is Not Just Three Pillars](https://ctrlb.ai/blogs/observability-is-not-just-three-pillars.md): We’ve all heard it: Observability has three pillars: logs, metrics, and traces. That’s how you know it was a marketing person. Somewhere … (~1456 tokens)
- [Microservices Logging: The Power of Distributed Tracing](https://ctrlb.ai/blogs/microservices-logging.md): When teams transitioned from monoliths to microservices, debugging didn’t become easier; it became messier. Every service now generates i… (~1263 tokens)
- [Why Disk-Less Data Lakes Are the Future ](https://ctrlb.ai/blogs/why-disk-less-data-lakes-are-the-future.md): Let’s face it, working with logs and large-scale data systems can be a real grind. If you’ve ever stared at a spinning loader bar after h… (~1082 tokens)
- [From S3 Chaos to Unified Insights
](https://ctrlb.ai/blogs/from-s3-to-insights-making-archived-logs-useful-ag.md): Observability is a growing cost centre for most engineering teams. The more you scale, the more logs you generate. And while storage has … (~1320 tokens)
- [Logs as Data: Why CtrlB Treats Raw Logs Like a Data Lake](https://ctrlb.ai/blogs/logs-as-data-why-ctrlb-treats-raw-logs-like-a-data.md): In today’s cloud-native world, logs have grown beyond simple debugging tools; they’re now a valuable source of deep operational insight. … (~1202 tokens)
- [Tips to save egress cloud costs](https://ctrlb.ai/blogs/tips-to-save-egress-cloud-costs.md): In today's cloud-driven world, managing costs is a critical aspect of running an efficient and profitable business. One of the often over… (~1047 tokens)
- [How to route Kubernetes logs using FluentD?](https://ctrlb.ai/blogs/how-to-route-kubernetes-logs-using-fluentd.md): Logs are critical for understanding what is occurring inside your Kubernetes cluster. Even while most apps come with a native logging mec… (~1771 tokens)
- [Power of Observability Pipelines: Understanding Their Role and Impact on Organisational Efficiency](https://ctrlb.ai/blogs/power-of-observability-pipelines.md): Explore the transformative power of observability pipelines in enhancing organizational efficiency. Learn how real-time insights, scalabi… (~900 tokens)
- [Unraveling the Mysteries of Digital Footprints: Understanding Traces in the Digital World](https://ctrlb.ai/blogs/understanding-traces-in-the-digital-world.md): Explore the significance of digital traces, uncovering insights into user behavior, capacity planning, and security. Despite challenges, … (~1056 tokens)
- [Cracking the Code: Understanding High Cardinality in Metrics](https://ctrlb.ai/blogs/understanding-high-cardinality-in-metrics.md): Unlock the potential of your metrics with our guide to understanding high cardinality. Discover how granular insights can drive innovatio… (~930 tokens)
- [The High Costs of Observability: Uncovering the Burden on Modern Systems](https://ctrlb.ai/blogs/the-high-costs-of-observability.md): Navigating the complexities of modern computing requires a delicate balance between insightful monitoring and cost-effective practices. (~834 tokens)
- [When should you prefer CtrlB over self-hosting Elastic or Loki?](https://ctrlb.ai/blogs/when-should-you-prefer-ctrlb-over-self-hosting-ela.md): In the landscape of log management solutions, the choices can seem endless, each with its own set of advantages and drawbacks. Among thes… (~1743 tokens)
- [Why archiving old data is a bad idea?](https://ctrlb.ai/blogs/why-archiving-cold-data-doesnt-work.md): Discover how CtrlB revolutionizes log data management, offering seamless querying of both hot and cold storage without compromising cost … (~1137 tokens)
- [Separating storage and compute - holy grail to cut down costs](https://ctrlb.ai/blogs/separating-storage-and-compute---holy-grail-to-cut.md): Discover how decoupling storage and compute in databases can slash costs and boost efficiency. Traditional setups, while efficient for sm… (~711 tokens)
- [hello world](https://ctrlb.ai/blogs/hello-world.md): hello world from Ctrlb (~116 tokens)
- [Why are legacy observability solutions so expensive?](https://ctrlb.ai/blogs/why-are-legacy-observability-solutions-so-expensiv.md): In the realm of modern system management, observability has emerged as a crucial concept, enabling organizations to gain deep insights in… (~437 tokens)

## Tags
- [Benchmark](https://ctrlb.ai/blogs/tag/Benchmark.md): Eight WHERE … LIMIT 100 queries on a 5 TB log table — CtrlB vs. ClickHouse on identical hardware. CtrlB wins all 8 patterns, 2.2× to 99× faster, with a 17× smaller index. (~138 tokens)
- [Cost](https://ctrlb.ai/blogs/tag/Cost.md): In today's cloud-driven world, managing costs is a critical aspect of running an efficient and profitable business. One of the often overlooked yet significant components of cloud expenditure is egress costs—charges incurred when data is transferred out of the cloud provider's network to another… (~127 tokens)
- [Data](https://ctrlb.ai/blogs/tag/Data.md): 7 articles on Data. Covers How to route Kubernetes logs using FluentD?, Power of Observability Pipelines: Understanding Their Role and Impact on Organisational Efficiency, Cracking the Code: Understanding High Cardinality in Metrics, and more. (~345 tokens)
- [kubernetes](https://ctrlb.ai/blogs/tag/kubernetes.md): Logs are critical for understanding what is occurring inside your Kubernetes cluster. Even while most apps come with a native logging mechanism, users in distributed and containerized environments (such as Kubernetes) will benefit from a centralized logging solution. That is because they must… (~133 tokens)
- [Observability](https://ctrlb.ai/blogs/tag/Observability.md): 8 articles on Observability. Covers Tips to save egress cloud costs, How to route Kubernetes logs using FluentD?, Unraveling the Mysteries of Digital Footprints: Understanding Traces in the Digital World, and more. (~385 tokens)
- [simran](https://ctrlb.ai/blogs/tag/simran.md): Introduction Modern cyberattacks rarely stop at a single system. Once inside, attackers often move laterally, jumping between machines and services, in search of sensitive data or admin access. This tactic is known as node-hopping or lateral movement.
 Detecting these attackers is not easy. Each… (~155 tokens)
- [Simran](https://ctrlb.ai/blogs/tag/Simran.md): 2 articles on Simran. Covers Cost-Effective Telemetry Scaling with CtrlB’s Cloud Object Storage, Optimizing Observability for Edge Computing Environments. (~149 tokens)
- [Storage](https://ctrlb.ai/blogs/tag/Storage.md): 6 articles on Storage. Covers Tips to save egress cloud costs, How to route Kubernetes logs using FluentD?, Cracking the Code: Understanding High Cardinality in Metrics, and more. (~286 tokens)

## Authors
- [Adarsh Srivastava](https://ctrlb.ai/blogs/author/adarsh-srivastava.md): Co-Founder / CEO. Building CtrlB — an observability control plane for telemetry at scale. (~198 tokens)
- [Adarsh Srivastava](https://ctrlb.ai/blogs/author/adarsh-srivastava.md): Co-Founder / CEO. Building CtrlB — an observability control plane for telemetry at scale. (~287 tokens)
- [Pranav Rastogi](https://ctrlb.ai/blogs/author/pranav-rastogi.md): Chief Architect. Architecture and systems design across CtrlB’s data and query layers. (~96 tokens)
- [Pradyuman](https://ctrlb.ai/blogs/author/pradyuman.md): Senior Software Engineer. Engineering CtrlB’s ingestion, pipelines, and developer experience. (~271 tokens)
- [Balasubramanian P](https://ctrlb.ai/blogs/author/balasubramanian-p.md): Co-Founder / CTO. Technical leadership across infrastructure, reliability, and platform. (~101 tokens)

## Optional
- [Full corpus](https://ctrlb.ai/llms-full.txt): Concatenated Markdown for offline ingestion
- [RSS](https://ctrlb.ai/rss.xml): Article feed
- [Sitemap](https://ctrlb.ai/sitemap.xml): URL discovery