Programmatic fuses SRE, AIOps, DevOps, and Observability to create Autonomous Reliability an intelligent, self-correcting ecosystem that evolves continuously, ensuring uptime, resilience, and operational excellence.
Site Reliability Engineering (SRE) Services
Achieve Operational Excellence with Site Reliability Engineering
Our SRE services combine software engineering and operations to create self-healing, scalable infrastructure.
We implement automation, monitoring and incident response frameworks to maintain service uptime.
- Build reliable systems that scale with your business.
What is Site Reliability Engineering(SRE)
SRE is the evolution of operations where reliability is treated as a software problem. Instead of reactive monitoring, it introduces engineering-driven automation, predictive intelligence, and continuous performance governance.
What Our SRE Framework
We build elastic, cloud-first data lake architectures on AWS, Azure, and Google Cloud.
Our engineers design ingestion, storage, and compute layers that adapt dynamically to changing workloads delivering cost efficiency and high performance.
Architected to scale, governed to last.
Seamlessly ingest batch, real-time, and streaming data from diverse sources — ERP, CRM, IoT, APIs, or legacy systems.
We use technologies like Apache Kafka, AWS Glue, Azure Data Factory, and Databricks to automate extraction, transformation, and load (ETL/ELT) processes.
Every dataset, every stream unified in motion and at rest.
A powerful data lake is only as valuable as it is trusted.
Programmatic embeds data governance frameworks with metadata management, data lineage, and access control ensuring every dataset is discoverable, compliant, and consistent.
Governance is the backbone of intelligence — not a bottleneck.
Still running on Hadoop or legacy data lakes. We modernize them into server less, cloud-native data lakehouses with integrated compute and analytics layers.
Our team ensures zero data loss, schema preservation, and near-zero downtime migration.
Migrate once. Modernize forever.
- Reliability maturity assessment and SLA/SLO/SLI definition
- Identification of risk zones and single points of failure
- Data-driven error budget modeling
- Establishment of reliability governance frameworks
- Implement full-stack observability for services, APIs, and infrastructure
- Integrate AIOps for automated anomaly detection and event correlation
- Deploy self-healing automation for predictable recovery
- Build real-time dashboards for reliability KPIs
- AI-assisted alert triage and incident prioritization
- Automated rollback and recovery workflows
- LLM-based root-cause analysis and postmortem generation
- Continuous improvement through event learning loops
- Simulated fault injection and resilience testing
- Predictive capacity planning and scaling
- Continuous reliability feedback loops integrated with CI/CD
- Performance optimization and uptime governance
Our Approach
From Raw Data to Intelligence
2026 Guide to Data (SRE) Services: Building a Site Reliability Engineering
Discover how modern DevOps practices combine CI/CD automation, cloud-native infrastructure, containerization, infrastructure as code, and reliability engineering to accelerate software delivery, improve system stability, and scale applications with confidence across cloud environments.
Highlights:
- End-to-End DevOps Automation
- Cloud-Native & Container-First Systems
- Infrastructure as Code & Reliability
- Continuous Monitoring & Optimization
Projects completed
0
+
Increase in ROI
0
%
Countries Served
0
+
Skilled Experts
0
+
Technologies We Use.
Frequently Asked Questions
DevOps focuses on collaboration and delivery speed; SRE applies engineering to reliability, ensuring performance, uptime, and operational excellence.
We use AIOps and LLMs for predictive failure detection, automated remediation, and generative incident reporting.
Yes we tailor SRE frameworks to modern, hybrid, and even legacy systems with observability and automation integrations.
An error budget defines the acceptable threshold of failure balancing release velocity with reliability. We automate and optimize it through data intelligence.
What Our Customers Say.
Explore Our DevOps & Cloud Engineering Solutions
Looking to modernize software delivery and improve system reliability? Explore Programmatic’s DevOps and cloud engineering services—designed to automate CI/CD pipelines, optimize cloud infrastructure, enhance reliability, and help teams ship faster with confidence.
Containerization
Containerization
Read More
Infrastructure as Code (IaC)
Infrastructure as Code (IaC)
Read More
Cloud Deployment Automation
Cloud Deployment Automation
Read More
Monitoring & Reliability Engineering
Monitoring & Reliability Engineering
Read More
Site Reliability Engineering (SRE)
Site Reliability Engineering (SRE)
Read MoreReady to Accelerate Your Software Delivery?
Your delivery pipelines and infrastructure are critical business assets. With Programmatic’s DevOps and cloud engineering expertise, we help you automate workflows, improve system reliability, and scale cloud environments—so your teams can ship faster, operate with confidence, and support continuous growth.