How much are we using now?
Monitoring tracks health, current utilisation, availability and alerts. This view of the present is essential.
CAPACITY & PERFORMANCE MANAGEMENT
Anticipate limits before they affect operations.
Infrastructure rarely reaches its limit all at once.
Rising utilisation, changes in behaviour, new applications, more users and business transformation leave signals over time.
Add Solution turns metrics, history and operational context into intelligence to identify trends, investigate bottlenecks, plan capacity and assess the performance of resources supporting critical environments.
Decisions based on actual behaviour—not just perceptions or isolated estimates.
HISTORYCURRENTPROJECTED
TREND · HEADROOM · LIMIT
DEMANDCAPACITYPERFORMANCEIMPACT
ENGENHARIA APLICADA
Tendências precisam ser percebidas antes que limites se transformem em incidentes.
A Add Solution conecta histórico, crescimento, sazonalidade, workloads e planos do negócio para orientar capacidade e performance.
Arquitetura, execução e operação tratadas como partes da mesma responsabilidade.
THE LIMIT LEAVES SIGNALS
Limits rarely arrive without warning.
The incident happens at the limit. The opportunity to prevent it usually appears much earlier.
01OBSERVED HISTORYMEASURE
02CURRENT UTILIZATIONMEASURE
03GROWTH TRENDPROJECT
04PROJECTED DEMANDPROJECT
05CAPACITY LIMITDECIDE
CAPACITY SHOULD NOT BE DISCUSSED ONLY WHEN RESOURCES RUN OUT. IT MUST BE PLANNED WHILE THERE ARE STILL OPTIONS.
Where is this consumption heading?
History, trends, seasonality and context inform discussions about saturation, underutilisation, headroom and growth.
Monitoring the present is essential. Planning for the future requires history.
BASELINE · HISTORY · TREND
Before recognising growth, we need to understand normal behaviour.
Time of day, day, business cycle, workload, seasonality, utilisation and performance can establish the baseline, depending on the environment.
01HISTORICAL DATATIME CONTEXT
02BASELINETIME CONTEXT
03TRENDTIME CONTEXT
04CAPACITY QUESTIONTIME CONTEXT
05PLANNINGTIME CONTEXT
AN ISOLATED METRIC SHOWS A MOMENT. HISTORY SHOWS BEHAVIOR.
History turned into a technically grounded estimate.
Behaviour, trends, seasonality, statistical models, analytics and machine learning can support projections, depending on the technology and data quality.
Forecasting does not eliminate uncertainty or predict the future with complete accuracy.
How much time do we have before we need to act?
Current utilisation, growth direction and available capacity help estimate a timeframe for reassessment, without turning projections into guaranteed dates.
MORE THAN CPU
Capacity and performance span every layer.
An environment may have spare CPU capacity and still be constrained by storage, network, a database, an application or an external dependency.
Compute & memory
CPU, load, processing demand, cores, vCPU, available memory, memory pressure and paging, depending on the platform.
Storage & database
Space, growth, IOPS, latency, throughput, queues, connections and query workloads.
Network & connectivity
Bandwidth, utilisation, throughput, latency, congestion, interfaces and links.
Applications & services
Users, requests, transactions, errors, dependencies, processed load and service objectives.
CAPACITY × PERFORMANCE
Good performance today does not guarantee capacity for tomorrow.
Capacity describes how much the environment can support. Performance describes how it behaves under a given demand.
01DEMANDBEHAVIOR
02CAPACITYBEHAVIOR
03UTILIZATIONBEHAVIOR
04LATENCY / THROUGHPUTBEHAVIOR
05PERFORMANCEBEHAVIOR
AVAILABLE CAPACITY DOES NOT GUARANTEE GOOD PERFORMANCE. PERFORMANCE RARELY BELONGS TO A SINGLE LAYER.
A percentage on its own does not define saturation.
Sustained utilisation, growing queues, latency, throughput, contention, connection limits and exhaustion need to be interpreted in the context of the resource and service.
Short peaks and long-term trends require different responses.
Averages can hide critical periods. Distributions and percentiles are more useful for some metrics, without making P95 or P99 mandatory.
CLUSTER & RESILIENCE
Usable capacity is not necessarily the raw sum of installed resources.
Hosts, workloads, distribution, reserves for failures, maintenance and growth determine what remains available under real conditions.
01HOST ARESILIENCE
02HOST BRESILIENCE
03HOST CRESILIENCE
04FAILURE / MAINTENANCE RESERVERESILIENCE
05USABLE CLUSTER CAPACITYRESILIENCE
A CLUSTER MAY HAVE CAPACITY IN NORMAL OPERATION AND NOT HAVE IT WHEN A COMPONENT IS LOST.Virtualisation Data Centre
PLANNING CONTEXTS
Capacity needs to reflect the architecture supporting demand.
Bottlenecks do not respect boundaries between teams, platforms or technical domains.
Virtualisation & clusters
Hosts, VMs, shared storage, contention, growth and reserves for failures and maintenance.
Cloud & containers
Sizing, autoscaling, quotas, requests, limits, nodes, pods, dependencies and technical cost.
Data centre & resilience
Compute, storage, network, contingency and, when in scope, space, power and cooling.
Applications & databases
Demand, transactions, connections, latency, throughput and infrastructure consumption.
BUSINESS DEMAND
Planning connects business growth with the technology needed to support it.
Users, transactions, devices, applications, data volumes, traffic, workloads and seasonality can change demand.
01BUSINESS GROWTHDEMAND
02USERS / TRANSACTIONS / DATADEMAND
03TECHNOLOGY DEMANDDEMAND
04SERVICE DEPENDENCIESDEMAND
05CAPACITY REQUIREMENTDEMAND
WHAT-IF ANALYSIS
Planning also means testing what-if scenarios before making changes.
Scenarios depend on the available data and models and are not perfect simulations.
What if we add users or transactions?
Evidence helps compare alternatives and risks.
What if we migrate or consolidate workloads?
Evidence helps compare alternatives and risks.
What if we lose a cluster host?
Evidence helps compare alternatives and risks.
What if data volumes grow significantly?
Evidence helps compare alternatives and risks.
What if we move the application to cloud?
Evidence helps compare alternatives and risks.
What if expected demand arrives during maintenance?
Evidence helps compare alternatives and risks.
Sizing should not start with an equipment catalogue.
Current demand, historical growth, the expected lifecycle and resilience provide a stronger basis for migration, consolidation or refresh requirements.
Cloud Consulting & AssessmentContingency arrangements also need to support the workloads expected to run.
Backup windows, repositories, retention, network, processing and capacity remaining after a failure need to be assessed according to the design.
Backup & Disaster RecoveryRIGHTSIZING
Insufficient capacity leads to downtime. Excess capacity has a cost too.
Matching resources to observed and forecast demand aims for balance—not automatic reduction.
01UNDERPROVISIONEDCAPACITY BALANCE
02CONTENTION / LATENCYCAPACITY BALANCE
03RIGHT-SIZEDCAPACITY BALANCE
04AVAILABLE HEADROOMCAPACITY BALANCE
05OVERPROVISIONEDCAPACITY BALANCE
HAVING AN INSTALLED RESOURCE DOES NOT MEAN THAT IT IS AVAILABLE FOR ANY WORKLOAD.
More resources can hide a problem without resolving its cause.
Slow queries, application bottlenecks, network latency, storage contention or unsuitable architecture are not necessarily fixed by adding CPU capacity.
Capacity Management also identifies when buying more infrastructure is not the answer.
Large-scale patterns can benefit from assisted analysis.
Trends, forecasting, anomalies, seasonality and recommendations can benefit from analytical support. Decisions still require technical and business context.
CORRELATED CAPACITY
Not every degradation is caused by insufficient capacity.
Correlation with changes, applications, network, logs, assets and services helps avoid simplistic conclusions.
01CAPACITYINVESTIGATION
02PERFORMANCEINVESTIGATION
03CHANGEINVESTIGATION
04APPLICATION / NETWORKINVESTIGATION
05SERVICE CONTEXTINVESTIGATION
ADD SOLUTION METHOD
We do not start by asking how much equipment to buy.
We start by asking what demand the technology needs to support.
- 01
Measure
Dados e referência.
- 02
Contextualise
Dados e referência.
- 03
Establish a baseline
Dados e referência.
- 04
Analyse
Análise e decisão.
- 05
Project
Análise e decisão.
- 06
Plan
Análise e decisão.
- 07
Validate
Verificação e evolução.
- 08
Evolve
Verificação e evolução.
WHEN TO REVIEW
When should you reassess capacity?
A mature operation tracks both what is failing now and what is heading towards becoming a problem.
We discover capacity shortages only when they have an impact.
An assessment turns perceptions into a baseline and priorities.
We do not know when we will need to expand infrastructure.
An assessment turns perceptions into a baseline and priorities.
We buy resources mainly on the basis of estimates.
An assessment turns perceptions into a baseline and priorities.
We have unused capacity, but do not know where.
An assessment turns perceptions into a baseline and priorities.
We do not know whether the slowdown is in the application or the infrastructure.
An assessment turns perceptions into a baseline and priorities.
We struggle to plan cluster expansion.
An assessment turns perceptions into a baseline and priorities.
Our cloud costs are rising without a clear picture of utilisation.
An assessment turns perceptions into a baseline and priorities.
We need to size new infrastructure or a technology refresh.
An assessment turns perceptions into a baseline and priorities.
CAPACITY ASSESSMENT
Assess your capacity and performance Do you know when your infrastructure will reach its next limit?
Add Solution can assess history, utilisation, growth, performance, workloads and dependencies to identify bottlenecks, unused capacity, trends and future needs. Turn existing telemetry into evidence for expansion, optimisation and modernisation decisions.
PERGUNTAS FREQUENTES
Decisões importantes sobre Gestão de Capacidade & Performance
Respostas objetivas para dúvidas técnicas e operacionais que costumam surgir antes de um projeto.
01Como a Add Solution aborda um projeto de Gestão de Capacidade & Performance?
Qualidade dos dados, baseline, modelos, cenários, thresholds e ritos de revisão estruturam a disciplina. 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?
Utilização, picos, crescimento, sazonalidade, limites, SLIs, mudanças, projetos e custo de capacidade. 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?
Dados de infraestrutura, cloud, aplicações, rede, storage e negócio podem compor uma visão de demanda. 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?
Previsões, desvios, mudanças de demanda, novas cargas e resultados das ações precisam ser recalibrados. 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 Gestão de Capacidade & Performance.
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 CONVERSAGestão de Capacidade & PerformanceOrigem e interesse são registrados automaticamente no atendimento.