Use case · DevOps & CI/CD
Log aggregation
Log aggregation centralises logs from many systems into one place where they can be stored, searched, and analysed. Logs accumulate in high volume, so storage and retention are central, alongside fast search. Self-hosting gives control, cost efficiency at scale, and sovereignty over log data — which can contain sensitive information. Dedicated, EU-hosted infrastructure keeps aggregated logs sovereign.
Key points
- Log aggregation centralises logs from many systems into one place to store and search.
- Logs accumulate in high volume, so storage capacity is a central concern.
- Fast search and indexing are needed to find what you need across the logs.
- Retention balances keeping useful and required history against storage cost.
- Logs can contain sensitive data, so EU hosting keeps aggregated logs sovereign.
What is log aggregation, and why do it?
Log aggregation is the practice of collecting logs from many systems and bringing them together into one central place, where they can be stored, searched, and analysed. Systems produce logs — records of what they do, errors they encounter, and events that occur — and when there are many systems, each producing its own logs, searching them individually is impractical. Log aggregation gathers all these logs into a central system, so that they can be searched and analysed together, giving a single place to investigate problems, understand behaviour across systems, and find what happened.
Log aggregation matters because centralised logs are far more useful than logs scattered across many systems. When a problem spans several systems, or when you need to find what happened without knowing which system logged it, having all the logs in one searchable place is invaluable, whereas logs left on individual systems are hard to search across and may be lost when systems are replaced. Hosting log aggregation means providing infrastructure to collect the logs, store the large volumes they amount to, and search them. This page focuses on log aggregation; the broader monitoring stack it often accompanies is covered on its own page.
Collecting and centralising logs
Log aggregation begins with collecting logs from the many systems that produce them and bringing them to the central system, which involves gathering logs from across an organisation's infrastructure. Logs are produced by servers, applications, and services throughout an organisation, and collecting them means gathering these logs — often through agents or shippers that read logs and send them onward — and bringing them to the central log system. This collection must handle logs from many sources, in various forms, reliably delivering them to be stored and searched centrally.
The collection also often processes the logs as they are gathered, parsing and structuring them so they can be searched effectively. Logs come in different formats, and processing them into a consistent, structured form as they are collected makes them far more searchable and useful once centralised. This collection and processing runs on infrastructure and delivers the logs to the central store. We provide infrastructure that supports collecting and centralising logs from an organisation's systems — receiving the logs gathered from across the infrastructure and bringing them into the central system — so that the logs from many sources are aggregated into one place, ready to be stored and searched.
Storage for logs
Logs accumulate in high volume, because systems produce them continuously and in quantity, so storage capacity is a central concern for log aggregation. A busy system can produce a great many log entries, and aggregating logs from many systems multiplies this, so the volume of logs to store grows quickly and can become substantial. Providing adequate storage for the logs, sized to the volume produced and the retention kept, is therefore a primary requirement of log aggregation, more so than for many workloads given how fast logs accumulate.
The storage must also let the logs be searched, which shapes how they are stored and indexed. Log aggregation systems store logs in ways that support searching them — often indexing the logs so they can be queried quickly — which uses storage for both the logs and their indexes. The storage should have the capacity for the log volume and retention, and the performance to support ingesting the incoming logs and searching them. We provide storage sized for the volume of logs an organisation aggregates and the retention it keeps, with the performance to ingest and search them, so that a log aggregation system has the storage its high-volume, searchable data requires.
Searching and querying logs
The value of aggregated logs comes largely from being able to search them, so fast search across the centralised logs is central to log aggregation. When investigating a problem or looking for what happened, being able to search across all the logs quickly — filtering by time, system, or content — is what makes aggregation useful, letting you find relevant log entries among the vast number collected. Slow search over large log volumes makes investigation painful, so the ability to search the logs quickly is important to the log system serving its purpose.
Fast log search depends on how the logs are indexed and the compute and storage behind the search. Indexing the logs lets them be searched quickly, at the cost of storage for the indexes and compute to build and query them; and the search performance depends on the underlying infrastructure keeping up with queries over large log volumes. Providing responsive log search means infrastructure with the compute and fast storage the indexing and querying need. We provide infrastructure that supports fast search across aggregated logs — compute and fast storage for the indexing and querying — so that the logs can be searched quickly when needed, which is much of what makes aggregating them worthwhile.
Retention of logs
How long to keep logs — their retention — is an important decision for log aggregation, balancing the value and sometimes the requirement of keeping logs against the storage their volume consumes. Logs are useful for investigating past events, understanding trends, and sometimes are required to be kept for compliance or auditing, so retaining them has value; but given their volume, keeping logs longer consumes considerable storage. Some regulations or policies require logs to be kept for defined periods, making retention partly a compliance matter as well as a practical trade-off.
Managing retention means deciding how long to keep logs, at what accessibility, and providing storage for it. Approaches such as keeping recent logs readily searchable and older logs in cheaper, less immediate storage can extend retention affordably, controlling the storage cost of keeping logs long. The right retention depends on how long logs are useful or required and the storage available. We provide storage sized for a log aggregation system's chosen retention, and support arrangements that balance keeping logs against their storage cost, so that an organisation keeps the logs it needs — for investigation, trends, and any compliance requirements — without their storage growing without limit given the volume logs reach.
Self-hosted versus managed log services, and sovereignty
A significant choice is between self-hosting log aggregation and using a managed log service, and cost and sovereignty often favour self-hosting at scale. Managed log services are convenient but are frequently priced by the volume of logs ingested or stored, which for the high volumes logs reach can become very costly; and they place the logs on the provider's platform, often under a foreign jurisdiction. Self-hosting log aggregation on infrastructure you control requires running it but keeps the logs and their cost in your hands, and can be far more cost-effective for the large volumes logs reach.
Sovereignty matters because logs can contain sensitive information — details of systems, user actions, addresses, and sometimes personal data — so where they are held is a real concern. VV Internet Hosting is incorporated in the Netherlands, within the EU, so log aggregation hosted with us runs under European jurisdiction and outside the direct reach of the US CLOUD Act, keeping the logs under European law and on infrastructure the organisation controls. For organisations whose logs contain sensitive or personal data, or to whom the cost and control of log aggregation matter, self-hosting in the EU addresses both the sovereignty of the log data and the cost that managed services impose at volume.
Where VV Internet Hosting fits — and where it does not
We host dedicated infrastructure for self-hosted log aggregation: storage sized for the high volume of logs and the retention kept, fast storage and compute for ingesting and searching them, and infrastructure that supports collecting logs from across an organisation's systems — in EU datacenters under European jurisdiction. This suits organisations self-hosting log aggregation that want control, cost-effectiveness for the large volumes logs reach, and European sovereignty over their log data. For that, we are a strong fit, and we will size the storage and compute to the log volume and retention.
We are clear about our limits. We provide the dedicated infrastructure you run your log aggregation on; we are not a managed log service that operates the aggregation for you and prices by volume. If you want a managed log service, that is a different offering, which can suit modest volumes but grows costly at scale. We are the dedicated, sovereign infrastructure on which you self-host your log aggregation — suited to those who want control, cost-effectiveness at volume, and European sovereignty over their logs. If self-hosting log aggregation on infrastructure you control fits your needs, we can host it well, sized to the volume of logs you aggregate.
Related use cases
See also
Questions
Log aggregation, answered plainly
Common questions about hosting for Log aggregation.
What is log aggregation, and why do it?
Collecting logs from many systems into one central place where they can be stored, searched, and analysed together. When many systems each produce their own logs, searching them individually is impractical; aggregation gives a single searchable place to investigate problems, understand behaviour across systems, and find what happened — far more useful than logs scattered across systems.
Why is storage such a concern for log aggregation?
Because logs accumulate in high volume — systems produce many log entries continuously, and aggregating from many systems multiplies this, so the volume grows quickly. Storage must have capacity for the log volume and retention, plus the indexing that makes logs searchable, which uses further storage. It's often more storage-heavy than many workloads given how fast logs accumulate.
Should I self-host log aggregation or use a managed service?
It depends on scale. Managed log services are convenient but often priced by log volume, which grows very costly at the high volumes logs reach, and place logs on the provider's platform. Self-hosting keeps the logs and cost in your hands, is often far more cost-effective at scale, and keeps logs — which can contain sensitive data — on infrastructure you control.
Planning Log aggregation infrastructure?
We host dedicated, EU-sovereign infrastructure sized to your workload — and we will tell you plainly when something else fits better. Tell us what you're building.