How We Help You Build Reliable Applications

Assessment/discovery
- Assess your current cloud platform, application landscape, tools and ways of working
- Apply our readiness index framework to benchmark environment maturity

Design
- Implement the CARE™ operating model with clear SLO, SLI, SLAs and OKRs
- Review platform designs and set up robust observability and performance parameters

Build and scale
- Roll out the CARE™ model and configure observability
- Automate routine, manual processes and upskill your teams

Operate
- Run day-to-day operations using software engineering principles — we fix issues at the root
- Reduce tool sprawl and drive continuous automation
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Frequently Asked Questions about Cloud Application Reliability Engineering
Cloud application reliability engineering is the discipline of ensuring applications perform consistently, securely and efficiently in cloud environments. At HCLTech, we blend site reliability engineering (SRE) principles with cloud native best practices to proactively prevent outages, accelerate recovery and deliver seamless client experiences—no matter how complex or dynamic the environment.
Our application reliability engineering model is built on robust assessment, proactive design, continuous automation and blameless postmortems. We set measurable SLOs and SLIs, optimize observability and upskill teams for resilience. This holistic approach ensures reliability is ingrained across both critical and non-critical applications, maximizing uptime and value.
Our services span assessment, design, build and operate phases. We benchmark environments, define SLOs and SLIs, implement observability, automate processes and manage daily operations using software engineering principles. Clients benefit from unified dashboards, actionable insights and a culture focused on continuous improvement and resilience.
SLOs, SLIs and error budgets provide clear, measurable reliability targets. At HCLTech, we use these metrics to align operational priorities with business goals, proactively manage risk and ensure teams focus on what matters most. This transparency enables informed decision-making and drives continuous improvements in reliability.
Automation is fundamental to CARE. We automate repetitive tasks, incident response and deployment processes, reducing human error and freeing teams to focus on higher-value work. This not only accelerates recovery but also ensures consistent, reliable operations at scale in complex cloud environments.
HCLTech CARE enhances reliability by integrating SRE and DevOps practices into the core of its operations. We automate manual tasks, set clear service level objectives and drive continuous monitoring. This enables us to detect and resolve issues faster, reduce downtime and ensure applications meet evolving business and client expectations.
We leverage SRE and cloud reliability engineering by unifying development and operations, automating repetitive tasks and implementing error budgets. Our CARE services focus on root cause analysis, real-time monitoring and rapid remediation—enabling clients to achieve higher reliability, scalability and operational efficiency across their cloud native environments.
CARE accelerates issue detection and resolution through advanced observability, real-time monitoring and automated alerting. By integrating SRE best practices, we identify anomalies early, prioritize incidents based on business impact and resolve root causes swiftly—helping clients reduce downtime and maintain exceptional service quality.
Absolutely. CARE supports modernization across all application tiers—critical and non-critical—through our AppOps approach. We tailor reliability engineering practices to each app’s needs, ensuring consistent performance, faster recovery and operational efficiency regardless of the application’s business criticality.
With CARE, enterprises can expect faster issue resolution, increased developer productivity, sharper business visibility and accelerated time to market. Our approach drives operational excellence, reduces downtime and enables organizations to confidently meet client expectations—ultimately delivering measurable improvements in reliability and business value.





