Log Management and Analytics Services

Overview

Log Management and Analytics turns log data from a cost centre into instant, in-context answers for IT, security, and business teams. Avocado designs and delivers the strategy, pipelines, migration, and queries that make logs useful — connected to the services, traces, and user sessions they relate to, shaped at ingest to control cost and protect sensitive data, and shared across teams on one platform. We deliver on Dynatrace and Splunk, and help you get the most from the platform that's right for your environment.

In most organisations, logs sit in separate tools without the context needed to use them. Costs are unpredictable, so teams drop data or move it into cheaper storage that's slow to search when an incident hits. Investigations slow down as engineers jump between tools to piece together what happened, while IT, security, and business teams each keep their own copy of the same data.

Who is this for?

You'll recognise the situation

Log costs are unpredictable and growing faster than the value you get from them.

Teams drop logs or move them to cheaper storage to save money, then can't get to them quickly when needed.

Investigations mean switching between log, APM, and infrastructure tools to piece together what happened.

IT, security, and business teams each run their own log tooling for the same data.

You need to mask personal or sensitive data in logs to meet privacy and compliance obligations.

You're weighing up whether to optimise your current log platform or move to a different one.

What's included?

What Avocado delivers

Log strategy and migration

Strategy, source onboarding, and migration between log platforms, including rebuilding the queries and dashboards your teams rely on.

Pipeline design

Parsing, enrichment, PII masking, deduplication, filtering, and routing at ingest, so only useful data is retained.

Retention and cost design

Retention policies and consumption or licence models designed around how each team uses the data, with costs allocated to the right cost centres.

Logs in context

Logs linked to the services, traces, and user sessions they relate to, so every log line shows where it fits.

Query libraries and dashboards

Query libraries, notebooks, and dashboards for operations, security, and business use cases.

Logs-to-metrics and alerting

Log-based metrics and alerting, tied into AIOps for correlation and automated response.

Platforms

Log management on Dynatrace and Splunk

Log management on Dynatrace

Logs in the Grail data lakehouse at petabyte scale, linked automatically to topology, traces, and user sessions.

Our approach

No schemas, indexing, or rehydration to manage; logs link automatically to topology, traces, and user sessions.
OpenPipeline parses, filters, enriches, masks, and routes data at ingest, and converts logs to metrics.
DQL, Notebooks, and dashboards for instant analysis; collection via OneAgent, APIs, Kubernetes, cloud services, and extensions on a consumption model.

Log management on Splunk

15 years of Splunk experience, helping organisations get more value from their existing investment.

Our approach

Optimise ingest and licence usage; filter, mask, and route data before indexing using Ingest Actions and Edge Processor.
Tune retention and storage to control cost.
Build SPL searches, dashboards, and alerts for operations, security, and business teams.

What outcomes can you expect?

What you walk away with

Faster troubleshooting, with logs in full context.

Predictable, optimised log costs.

Fewer tools, through consolidation onto one platform.

Compliance-friendly data handling, with sensitive data masked at ingest.

One data platform shared by IT, security, and business teams.

How is this engagement structured?

Typically starts with a log strategy and cost review, followed by phased source onboarding, optimisation, or migration, with ongoing managed services available. Contact us to discuss the right approach.

Common questions

What is log management?

Log management is the collection, storage, and retention of log data generated by applications, infrastructure, and security tools, so it can be searched and analysed when needed.

What's the difference between log management and log analytics?

Log management covers collecting and storing logs. Log analytics is querying and analysing them to troubleshoot problems, investigate security events, or answer business questions. This engagement covers both.

Which log platform should we use?

It depends on your existing investments, data volumes, and how your teams use logs. Avocado works with both Dynatrace and Splunk, and can help you compare cost, capability, and migration effort — or optimise the platform you already have.

How does this help control log costs?

Filtering, deduplicating, and converting logs to metrics at ingest means you only retain what's useful. Retention and consumption are designed around how each team uses the data, with costs allocated back to the right cost centres.

Can sensitive data be masked?

Yes. Personal and sensitive data can be masked at ingest, before it's stored, on both Dynatrace and Splunk.

Can we migrate between log platforms?

Yes. Avocado plans and delivers migrations, including source onboarding and rebuilding the queries and dashboards your teams rely on, with parallel running where needed.

Log Management and Analytics