Applications
Errors, exceptions, transactions and service behaviour.
LOGS & EVENT ANALYTICS
Millions of events. The right evidence when you really need it.
Applications, systems, networks, databases, cloud and infrastructure continuously produce records of what happens in the environment.
In isolation, these records remain scattered across different files, devices, consoles and platforms. Add Solution designs architectures to collect, centralise, structure, search, correlate and analyse logs and events.
Technical records turned into context for troubleshooting, observability and operational investigation.
APPLICATIONNETWORKCLOUD
PROCESS · CORRELATE
TIMESOURCEEVENTCONTEXT
ENGENHARIA APLICADA
Logs só se tornam evidência quando podem ser encontrados, relacionados e compreendidos.
A Add Solution organiza coleta, parsing, retenção, pesquisa e correlação para apoiar operação, investigação e engenharia.
Arquitetura, execução e operação tratadas como partes da mesma responsabilidade.
THE ENVIRONMENT TELLS A STORY
Each component sees only part of what happened.
Applications, servers, databases, networks, firewalls, cloud and services produce different pieces of the same operational sequence.
01MULTIPLE SOURCESEVIDENCE
02CENTRALIZATIONEVIDENCE
03TIMELINEEVIDENCE
04CORRELATIONEVIDENCE
05CONTEXTEVIDENCE
SEPARATELY, THEY ARE RECORDS. RELATED IN TIME AND CONTEXT, THEY BEGIN TO TELL A STORY.
FROM LOG TO INFORMATION
Collection is only the start. Value comes from finding and interpreting the records.
Processing, structure, search and correlation turn raw records into usable evidence.
- 01
RAW EVENT
Entrada e estrutura.
- 02
COLLECTION
Entrada e estrutura.
- 03
PARSING
Entrada e estrutura.
- 04
NORMALIZATION
Contexto e persistência.
- 05
ENRICHMENT
Contexto e persistência.
- 06
INDEXING
Contexto e persistência.
- 07
SEARCH
Investigação e entendimento.
- 08
CORRELATION
Investigação e entendimento.
- 09
INSIGHT
Investigação e entendimento.
LOG SOURCES
Evidence originates in different layers of the environment.
The architecture needs to account for different formats, volumes and purposes without turning sources into an endless catalogue.
Infrastructure
Operating systems, servers, virtualisation, storage and hardware.
Network
Switches, routers, wireless, SD-WAN, interfaces and network services.
Cloud
Resources, managed services and applications in public, private and hybrid environments.
Data platforms
Databases, middleware, APIs and integrations.
Containers
Clusters, nodes, pods, containers and ephemeral workloads.
Receiving syslog is collection. Understanding it requires processing and context.
Agents, collectors, syslog, APIs, native integrations, OpenTelemetry and cloud services can contribute to collection, depending on the architecture.
Different formats require different strategies.
Free text, JSON and structured attributes need parsing that identifies the timestamp, source, severity, message and relevant fields.
PARSING · NORMALIZATION · ENRICHMENT
To search correctly, we first need to understand the structure.
Fields, patterns and attributes bring different sources closer to a common language and can be enriched with asset, service, environment, application or owner context.
01RAW MESSAGESTRUCTURE
02PARSE FIELDSSTRUCTURE
03NORMALIZESTRUCTURE
04ENRICHSTRUCTURE
05SEARCHABLE EVENTSTRUCTURE
A FIELD CORRECTLY IDENTIFIED TODAY CAN ELIMINATE HOURS OF SEARCHING DURING AN INCIDENT.
TIME IS CONTEXT
A timeline turns isolated events into a sequence that can be investigated.
Synchronisation, time zones and consistent timestamps preserve the order of events across different sources.
14:02:01APPLICATION ERRORILLUSTRATIVE EVENT
14:02:02DATABASE TIMEOUTILLUSTRATIVE EVENT
14:02:03SERVICE RETRYILLUSTRATIVE EVENT
14:02:04API ERRORILLUSTRATIVE EVENT
14:02:05REQUEST FAILEDILLUSTRATIVE EVENT
CORRELATE SYSTEMS WITH INCONSISTENT TIMESTAMPS CAN CREATE AN INCORRECT SEQUENCE.
SEARCH & TEMPORAL INVESTIGATION
History becomes valuable when we can quickly find what matters.
Text, fields, filters, time ranges, service, host, application, severity and attributes guide searches according to the platform.
TIME RANGE
A dimension that narrows the investigation.
SERVICE
A dimension that narrows the investigation.
HOST
A dimension that narrows the investigation.
APPLICATION
A dimension that narrows the investigation.
SEVERITY
A dimension that narrows the investigation.
ATTRIBUTES
A dimension that narrows the investigation.
CORRELATION
An event shows what one source observed. Correlation shows what was happening around it.
Time, source, service, application, infrastructure and event connect evidence that would otherwise be isolated records.
01TIMECORRELATE
02SOURCECORRELATE
03SERVICECORRELATE
04APPLICATIONCORRELATE
05INFRASTRUCTURECORRELATE
06CONTEXTCORRELATE
METRICS + LOGS + TRACES
Different sources answer complementary questions.
When sources share context, investigation no longer depends on isolated searches.
Metrics
What changed, and when should we investigate?
Logs
What was recorded at that point?
Traces
Where did the transaction pass through?
EVENT ANALYTICS
An isolated event may seem irrelevant. Its repetition can reveal a pattern.
Frequency, recurrence, sequence, distribution, sources, severity and behaviour over time deepen understanding.
01RAW EVENTSNOISE REDUCTION
02PATTERNSNOISE REDUCTION
03GROUPINGNOISE REDUCTION
04CONTEXTNOISE REDUCTION
05INVESTIGATION TARGETSNOISE REDUCTION
REDUCING NOISE DOES NOT MEAN DISCARDING INFORMATION. IT MEANS ORGANIZING ATTENTION.
Logs make investigation less dependent on memory and assumptions.
Symptoms, timing, events, related sources, evidence and hypotheses support analysis without promising automatic RCA.
A problem can produce thousands of symptoms without having thousands of causes.
High event volumes arising from a failure require dependencies, grouping and context to avoid fragmented investigation.
DISTRIBUTED & EPHEMERAL
Centralising investigation does not require infrastructure to be in one place.
Branches, data centres, cloud, applications, containers and Kubernetes produce distributed—and often ephemeral—evidence.
01BRANCHDISTRIBUTED SOURCE
02DATA CENTERDISTRIBUTED SOURCE
03CLOUDDISTRIBUTED SOURCE
04CONTAINERSDISTRIBUTED SOURCE
05CENTRAL LOG PLATFORMDISTRIBUTED SOURCE
RETENTION & VOLUME
Keeping everything forever is not a strategy. Neither is deleting it too soon.
Operational needs, the investigation horizon, volume, cost, performance, compliance and sensitivity guide retention and hot, warm or archive tiers where applicable.
Observability needs to be useful and sustainable.
Collecting everything without a strategy can lead to growing bills without a proportional increase in understanding.
How much to retain depends on future questions.
Too much data increases cost and noise; too little removes evidence before the investigation.
OBSERVABILITY PIPELINE
Telemetry also needs a flow, a policy and a destination.
Pipelines can process, filter, enrich and route data according to the architecture, without replacing storage and analysis backends.
01SOURCESPIPELINE
02COLLECTPIPELINE
03PROCESSPIPELINE
04FILTERPIPELINE
05ENRICHPIPELINE
06ROUTEPIPELINE
07STORE / ANALYZEPIPELINE
OPENTELEMETRY CAN TRANSPORT AND PROCESS TELEMETRY. IT IS NOT A LOG BACKEND.
LOG MANAGEMENT ≠ SIEM
The same telemetry can serve different objectives.
What changes is context, analysis and process. Operational logs support troubleshooting; SIEM applies security use cases, correlation and threat investigation.
Observability · operations · troubleshooting
Applications, infrastructure and performance investigated in an operational context.
Security monitoring · detection · investigation
Telemetry analysed for security objectives and processes.
PRIVACY & SECURITY
Collecting more also increases responsibility for what has been collected.
Usernames, IPs, URLs, tokens, parameters, personal data and sensitive technical information require minimisation, masking, redaction, encryption, and governed access and retention.
CREDENTIALS, TOKENS, API KEYS, AND SECRETS SHOULD NEVER BECOME TELEMETRY.Cybersecurity PAM & Identity Security
LOG ARCHITECTURE
Installing a tool is simple. Designing the complete evidence flow takes engineering.
Sources, volume, format, collection, processing, retention, storage, availability, security, access, search, integration and cost make up the architecture.
01SOURCESARCHITECTURE
02COLLECTIONARCHITECTURE
03PROCESSINGARCHITECTURE
04NORMALIZATIONARCHITECTURE
05STORAGEARCHITECTURE
06SEARCHARCHITECTURE
07OPERATIONSARCHITECTURE
LOG MANAGEMENT DOES NOT START BY CHOOSING WHERE TO STORE DATA. IT STARTS BY DEFINING WHICH QUESTIONS WE NEED TO ANSWER.
Map sources, blind spots and operational use.
Coverage, volume, parsing, retention, cost, security and integrations can be assessed; collectors, agents, pipelines, parsers, dashboards and knowledge transfer can form part of the project.
Consulting & Assessment Professional ServicesEvery environment produces different records.
Parsers, fields, specific extraction, pipelines, queries, alerts, integrations and enrichment need to reflect the actual diversity.
CONNECTED OBSERVABILITY
Context grows when logs are no longer investigated in isolation.
Trace IDs connect transactions; time windows bring metrics together; network flows and events add context; Command Center turns evidence into action.
01METRIC / TRACEOPERATION
02TIME WINDOWOPERATION
03RELATED LOGSOPERATION
04CORRELATIONOPERATION
05EOCOPERATION
06ACTIONOPERATION
AI & EVENT ANALYTICS
AI can accelerate understanding, but cannot create context that was never collected.
Summarisation, patterns, clustering, anomalies, grouping and search assistance can help navigate volumes that are difficult to analyse manually.
THE QUALITY OF THE ANALYSIS IT STILL DEPENDS ON THE QUALITY OF THE TELEMETRY.
OBSERVABILITY EXPERTISE
Finding a log is easy. Knowing what to look for requires knowledge of the environment.
Certified specialists and experience in applications, infrastructure, network, cloud, security and operations guide investigations that need to span several disciplines.
- 01
Discover
Fontes e estrutura.
- 02
Collect
Fontes e estrutura.
- 03
Structure
Fontes e estrutura.
- 04
Enrich
Contexto e evidência.
- 05
Store
Contexto e evidência.
- 06
Correlate
Contexto e evidência.
- 07
Investigate
Investigação e evolução.
- 08
Evolve
Investigação e evolução.
WE KNOW THE PLATFORMS. BUT ALSO THE SYSTEMS THAT PRODUCE THE EVENTS.
WHEN TO REVIEW
When an incident occurs, does your team find evidence or start hunting for logs?
Storing more does not resolve a lack of strategy, context, search capability or governance.
Every team looks for logs in a different place.
A sign that pipelines, retention or investigation need to improve.
During incidents, we do not know where to look.
A sign that pipelines, retention or investigation need to improve.
The evidence has already been deleted when we need it.
A sign that pipelines, retention or investigation need to improve.
There is plenty of data, but little ability to search it.
A sign that pipelines, retention or investigation need to improve.
Application and infrastructure data cannot be correlated.
A sign that pipelines, retention or investigation need to improve.
Storage costs keep rising.
A sign that pipelines, retention or investigation need to improve.
Intermittent problems are difficult to investigate.
A sign that pipelines, retention or investigation need to improve.
We do not know which logs actually need to be collected.
A sign that pipelines, retention or investigation need to improve.
When an incident occurs, does your team find evidence or start hunting for logs?
We can assess sources, volume, pipelines, retention, security and integration with other observability layers.
Assess your logging strategyPERGUNTAS FREQUENTES
Decisões importantes sobre Logs & Análise de Eventos
Respostas objetivas para dúvidas técnicas e operacionais que costumam surgir antes de um projeto.
01Como a Add Solution aborda um projeto de Logs & Análise de Eventos?
Onboarding por prioridade, normalização, pipelines, índices, dashboards e consultas validadas preservam utilidade. A solução é dimensionada a partir do contexto do cliente, com responsabilidades e critérios de aceite definidos antes da execução.
02Quais informações precisam ser avaliadas antes da definição da solução?
Fontes, formatos, timestamps, volume, retenção, privacidade, casos de uso, campos e custos. Esse diagnóstico evita recomendações genéricas e ajuda a priorizar aquilo que efetivamente reduz risco ou melhora a operação.
03A solução pode aproveitar o ambiente tecnológico existente?
Aplicações, infraestrutura, cloud, rede, segurança, APM e ITSM podem compartilhar eventos e contexto. O que deve ser mantido, modernizado, integrado ou substituído é decidido por aderência técnica e valor operacional, não por uma premissa de renovação total.
04Como a Add Solution reduz riscos durante implantação ou mudança?
A execução considera dependências, janelas, validações, comunicação, evidências e rollback quando aplicável. Mudanças críticas são divididas em etapas verificáveis para preservar a continuidade.
05Como o ambiente continua evoluindo após a entrega?
Qualidade, volume, schemas, retenção, novas fontes e consultas recorrentes exigem governança contínua. A continuidade pode ser assumida pela equipe do cliente, pela Add Solution ou por um modelo combinado, conforme o escopo contratado.
FALE COM UM ESPECIALISTA
Vamos conversar sobre Logs & Análise de Eventos.
Share the context of your environment, the perceived impacts and the results your organization seeks. Add Solution will direct the conversation to the most appropriate experts.
CONTEXTO DA CONVERSALogs & Análise de EventosOrigem e interesse são registrados automaticamente no atendimento.