What We Build With It
We engineer SRE practices and tooling that transform your operational burden into a predictable, scalable, and ultimately, more reliable system.
SLO/SLI Definition & Implementation
Defining clear Service Level Objectives (SLOs) and Service Level Indicators (SLIs) that align with business goals, providing a data-driven approach to balancing reliability with innovation.
Error Budget Management & Implementation
Implementing error budgets to manage acceptable levels of unreliability, enabling teams to strategically balance feature velocity with system stability.
Automated Toil Reduction & Runbooks
Identifying and automating repetitive operational tasks ('toil'), creating self-healing systems, and developing robust runbooks for efficient incident response.
Why Our Approach Works
Implementing SRE transforms your operational model, leading to significant gains in system reliability, efficiency, and team morale.
Dramatic Increase in System Uptime
By rigorously defining and measuring reliability (SLOs) and applying engineering principles, we achieve significantly higher system availability and stability.
Faster, Safer Innovation
Error budgets empower teams to innovate and deploy features faster, knowing they have a clear understanding of acceptable risk and the guardrails for reliability.
Empowered, Engaged Engineering Teams
Shifting from reactive firefighting to proactive problem-solving and automation empowers engineers, reducing burnout and fostering a culture of continuous improvement.
Our Go-To Stack for SRE Engineering
We leverage industry-leading tools and methodologies to implement robust Site Reliability Engineering practices.
Observability Platforms
Prometheus, Grafana, Datadog, Jaeger, Elastic Stack (ELK) for comprehensive metrics, logging, and tracing.
Incident Management
PagerDuty, Opsgenie for automated alerting, on-call scheduling, and incident response orchestration.
Automation Tools
Ansible, Terraform, custom Python scripts for automating routine tasks and infrastructure management.
SLO/Error Budget Tools
Custom dashboards on Grafana/Datadog, SLO tracking platforms like SLOWeb for defining and monitoring reliability targets.
Container Orchestration
Kubernetes for managing and scaling containerized workloads, a common SRE domain.
Chaos Engineering Frameworks
LitmusChaos, Chaos Mesh, and Gremlin for validating system resilience under controlled failure conditions.
Frequently Asked Questions
What's the difference between SRE and DevOps?
+SRE is a specific implementation of DevOps principles. DevOps is the ‘what’ (collaboration, automation, continuous delivery), and SRE is often the ‘how’—applying software engineering to operations to achieve those goals, with a strict focus on system reliability.
How do you define an SLO (Service Level Objective)?
+An SLO is a target value or range for a service level that is measured by an SLI (Service Level Indicator). For example, an SLI might be ‘request latency,’ and an SLO would be ‘99% of requests must complete in under 300ms.’ SLOs are set collaboratively with the business.
Will implementing SRE require a dedicated SRE team?
+Not necessarily from day one. We can help integrate SRE principles and practices within your existing development and operations teams. Over time, as your systems mature, establishing a dedicated SRE function can optimize for hyper-scale reliability.
What exactly is 'Toil' and how do we eliminate it?
+Toil is manual, repetitive, tactical work that scales with service size—like manual deployments or clearing disks. We aim to cap toil at 50% of an engineer’s time, using the other 50% for high-value engineering work that automates those very tasks away.
How does the 'Error Budget' work in practice?
+An error budget is the amount of unreliability your business can tolerate (e.g., 0.1% if your SLO is 99.9%). If the budget is spent, the team shifts focus from shipping new features to improving reliability until the budget is replenished. It’s a data-driven way to manage risk.
Can smaller startups benefit from SRE?
+Absolutely. SRE is about mindset and practices (like SLIs and automation) rather than just team size. For a startup, SRE means building a culture of observability and automation early, preventing the technical debt that causes major outages later.