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MicrocosmWorksInnovere og Arkitektere Digitale Kosmos
OmKontakt
MicrocosmWorksInnoverer og arkitekterer digitale kosmos

Leverer IT-løsninger, der betyder noget. Vi brænder for teknologi, sikkerhed og at hjælpe virksomheder med at vokse gennem pålidelig, innovativ IT-infrastruktur.

[email protected]
+91 7011868196
New Delhi, India

Løsninger

BygAI ProduktudviklingSaaS ProduktudviklingSkræddersyet Softwareudvikling
ModerniserSoftwaremoderniseringAI-moderniseringCloud App-modernisering
SkalerBackend & Distribuerede SystemerCloud YdelsesingeniørPålideligheds- og YdelsesingeniørAI-infrastruktur
UdvidProduktudviklingsteams
Alle løsningerAI AgentudviklingAI VideoplatformSundhed & Fitness Apps

Tjenester

Digital RådgivningCloud InfrastrukturSaaS UdviklingAI UdviklingVideo Teknologi
ERP UdviklingZoho TilpasningOdoo UdviklingSalesforce-integrationTilpasset CRM Udvikling
QuickBooks-integrationIoT LøsningerBlockchain Udvikling
Cybersikkerhed RådgivningIT-support - L3

AI Væksthub

AI HubStartup-innovationVirksomhedsaccelerator

Ressourcer

IndsigterIndustri GuiderBrugssag BlueprintsArkitektur MønstreCase Studier

Virksomhed

Om OsKontaktDiskuter dit projektVores Arbejde

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Scale • Reliability & Performance Engineering

Reliability &
Performance Engineering

Build systems that stay fast, available and cost-efficient under real-world production conditions.

Discuss Your Reliability NeedsView Case Studies
25+
Engineers
40+
Clients
58
Case Studies
SRE
Backend • SRE • Infrastructure • Performance
Uptime SLA
99.95%
MTTR
<5 Min
SLO Design
Error Budgets
Observability
Full Stack

Reliability Engineering Services

From SLO design and observability to chaos engineering and disaster recovery - we build production-grade reliability practices for your systems.

SRE Practice Implementation

Establish Site Reliability Engineering practices including SLO definition, error budgets and toil reduction

Uptime & Availability Management

High-availability architectures with multi-AZ deployment, automatic failover and graceful degradation

Incident Response Design

Incident response frameworks with on-call rotations, escalation procedures and runbooks for known failure modes

Capabilities

We combine SRE practices, observability, incident management, performance testing and resilience engineering into a unified reliability capability.

SRE Practices

  • SLO/SLI/SLA framework design
  • Error budget management
  • Toil identification and reduction
  • Reliability roadmap planning

Reliability Engineering Approach

A structured approach to reliability engineering - from assessment through SLO design, observability, incident response, testing and continuous improvement.

01

Reliability Assessment

Audit current system reliability, incident history, monitoring and operational practices.

02

SLO Framework

Define SLOs based on user expectations and business requirements, establish measurement.

03

Observability Implementation

Deploy monitoring, logging, tracing and dashboards for production visibility.

04

Incident Response

Build incident detection, escalation, response and post-mortem procedures.

05

Load Testing

Comprehensive performance testing to identify bottlenecks and validate capacity.

06

Resilience Engineering

Implement chaos engineering, circuit breakers and failover mechanisms.

Technology Stack

The exact stack is selected based on your infrastructure, scale and operational requirements.

Monitoring

📊Datadog
🔥Prometheus / Grafana
☁️AWS CloudWatch
📟PagerDuty

Tracing

🔍Jaeger
✨AWS X-Ray

Related Solutions

Explore related capabilities that complement reliability and performance engineering.

Cloud Performance Engineering

Optimize cloud infrastructure costs, auto-scaling and multi-region deployment strategies.

Explore

Backend & Distributed Systems

Scale backend architecture with event-driven systems, microservices and distributed processing.

Explore

Reliability & Performance Use Cases

We implement reliability and performance engineering across production systems - from SLO frameworks and monitoring to chaos engineering and disaster recovery.

SLO Implementation

Define and track service level objectives for production systems

Production Monitoring

Full observability stack for applications and infrastructure

Incident Response Setup

Structured incident management with detection, response and post-mortem

Load Testing Program

Continuous load testing to prevent performance regression

Chaos Engineering

Controlled failure injection to build system resilience

Performance Optimization

Resolve latency bottlenecks and improve throughput

Disaster Recovery

Implement and validate backup and recovery procedures

On-Call Engineering

Build sustainable on-call practices with runbooks and automation

Built for Reliability

We engineer reliability into every layer - availability, performance, observability, incident readiness, resilience and operational maturity.

Availability

SLO-driven availability targets with measurement and alerting

Performance

Continuous performance testing, optimization and regression detection

Observability

Full-stack monitoring with metrics, logs, traces and dashboards

Engineering Team Model

The team is structured around your reliability requirements, not a fixed package. Team composition adapts based on system complexity and operational needs.

2-Person Squad

Focused initiative. SLO implementation, monitoring setup or incident response procedures.

3-Person Squad

Comprehensive reliability work. Observability, load testing and chaos engineering.

5-Person Squad

Full SRE capability with SRE Lead, Observability Engineer, Performance Engineer, Infrastructure Engineer and Incident Manager.

How We Work Together

A flexible engagement model that grows with your reliability needs - from initial assessment to long-term SRE partnership.

1

Reliability Assessment

Audit your current reliability posture, incident history and operational maturity

2

SLO & Observability Foundation

Establish SLO framework, deploy monitoring, logging and tracing infrastructure

3

Resilience Build

Implement load testing, chaos engineering and incident response procedures

4

Embedded SRE Team

Ongoing SRE team embedded in your operations for continuous reliability improvement

5

Relevant Case Studies

Building a GDPR-Compliant SaaS Platform with End-to-End Encryption
AI Chat

Building a GDPR-Compliant SaaS Platform with End-to-End Encryption

The platform served European customers, requiring strict compliance with GDPR regulations including data encryption, right-to-erasure, data portability, and comprehensive audit logging.

PostgreSQLPrismaAWS KMS

Need Reliable Production Systems?

Tell us about your production challenges, incident patterns and reliability goals. We will assess your current practices and recommend improvements.

Discuss Your Reliability NeedsView Case Studies

Performance Profiling & Optimization

Profile application performance to identify bottlenecks - CPU hotspots, memory leaks, slow queries and rendering

Load Testing & Capacity Planning

Performance testing to establish baselines, identify breaking points and validate capacity for projected growth

Chaos Engineering

Controlled failure injection to validate system resilience - network failures, service outages and resource exhaustion

Observability Stack Implementation

Comprehensive observability - metrics, logs, distributed traces and custom dashboards

Alerting Design & On-Call Processes

SLO-based alerting with on-call rotations, escalation policies and alert routing that minimizes false positives

Post-Incident Review Processes

Blameless post-incident reviews identifying root causes, systemic issues and actionable follow-ups

Release Engineering & Deployment Safety

Canary deployments, blue-green deploys, feature flags, automated rollback and performance regression detection

Production readiness reviews

Observability

  • Monitoring stack design (Datadog, Prometheus)
  • Distributed tracing implementation
  • Log aggregation and analysis
  • Custom dashboards and alerting
  • Anomaly detection

Incident Management

  • Incident response procedures
  • Escalation policies
  • Post-mortem and root cause analysis
  • Incident tracking and trending
  • Mean time to recovery (MTTR) reduction

Performance Testing

  • Load testing strategy and execution
  • Stress and soak testing
  • Performance regression detection
  • Capacity planning and forecasting
  • Benchmark establishment

Resilience Engineering

  • Chaos engineering practices
  • Circuit breaker implementation
  • Graceful degradation design
  • Failover and disaster recovery
  • Backup and restore validation
07

Continuous Improvement

Ongoing reliability reviews, SLO refinement and operational excellence.

📡
OpenTelemetry
📊Datadog APM

Load Testing

⚡k6
🎯Artillery
🪲Locust
🚀Gatling

Chaos Engineering

👾Gremlin
💥AWS Fault Injection Simulator
🐒Chaos Monkey

Infrastructure

☁️AWS
🐳Docker / Kubernetes
🏗️Terraform
🔄GitHub Actions

Cloud Application Modernization

Modernize infrastructure for improved reliability - containerization, IaC and managed services.

Explore

Capacity Planning

Forecast infrastructure needs based on growth and usage patterns

Operational Excellence

Reduce toil, automate routine tasks and improve reliability culture

Incident Readiness

Structured response procedures, escalation and post-mortem

Resilience

Chaos engineering, circuit breakers and graceful degradation

Operational Maturity

Runbooks, automation and continuous improvement practices

Production Reference: SRE Implementation

Implemented SRE practices for production systems, reducing mean time to detection from hours to minutes and establishing SLO-driven reliability frameworks.

Custom Team

Team composition adapts to reliability requirements. Can include platform, security or database specialists.

Long-Term Partnership

Strategic reliability partner for operational excellence and engineering scale

Fixed-scope engagements are available when requirements are sufficiently defined. The right investment depends on system complexity, scale, team composition and reliability goals.

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