dZ Ops
Autonomous AIOPS for Self-Healing Infrastructure
Harness power of the platform where infrastructure heals itself, databases tune themselves, tests generate themselves, and agents govern themselves. It transforms IT operations from reactive troubleshooting into proactive, self-sustaining orchestration.
Scale Up Your IT Management with dZ Ops AI Platform
Advanced AI and MLOPS algorithms of the platform streamline IT operations, accelerating issue detection, proactive remediation, and smart decision-making. AI agents handle the operational tasks that previously required human attention around the clock with self-healing failures, self-optimising performance, self-generating tests, and self-governing AI behaviour across the entire infrastructure estate.
Functions at its best in dynamic environments and reduces operational costs
Greater collaboration and coordination with streamlined operations
Optimizes troubleshooting scenarios and prevents information overloading
Power AI deployments across your infrastructure with GPU optimization
Capitalize on dZ Ops platform with its outstanding capabilities
Self-Governing Infrastructure with Autonomous Intelligence
Agentic AI handles investigation, diagnosis, and remediation autonomously for the 90% of incidents that follow recognizable patterns. The remaining 10% reach human engineers with full context, root cause analysis already complete, and remediation options already evaluated. The human role shifts from first responder to decision-maker and exception handler, a fundamentally higher-value operational model.
dZdbOps brings autonomous intelligence to the most specialised and capacity-intensive discipline in enterprise IT. Database performance tuning, backup management, capacity planning, and query optimization are continuous operational requirements that consume DBA time every day. The platform automates all of them, continuously and without manual intervention.
dZinfraOps manages the complete infrastructure operations lifecycle autonomously, from initial provisioning through continuous optimisation to eventual decommissioning. It replaces the traditional managed services model of teams responding to tickets, applying patches, and managing configurations manually with intelligent agents that execute these operations faster.
As organisations deploy AI agents across infrastructure operations at scale, the visibility into those agents’ behaviour becomes as critical as the visibility into the infrastructure they manage. dZagentOps provides visibility through tracking every decision, enforcing every policy, and maintaining the audit trail that proves autonomous operations are operating correctly.
dZtestOps removes the bottleneck by automating everything except the engineering judgement as test cases are generated from code changes, test suites execute automatically, failures are analyzed intelligently, and the test library grows continuously from production incident learnings.
Core Competencies of dZ Ops
Enterprise-grade integration of dZ Ops is a powerful way to optimize and automate your infrastructure without any disruptions. We bring the best of the platform capabilities that evolve with technologies and infrastructure.
Continuously monitors infrastructure health and executes fixes for 90% of common issues. The platform maintains a library of proven remediation patterns learned from every incident it has resolved. Failed containers restart automatically with root cause analysis to prevent recurrence. Degraded database connections are recycled before they become application errors. Memory leaks trigger proactive restarts before crashes occur and generate user-visible outages.
Receives alerts from every monitoring system in your environment and applies causal graph analysis to identify the underlying root causes. When a network issue affects 50 services simultaneously, operators receive one actionable root cause alert. Alert noise falls by 95%, on-call quality of life improves measurably, and genuine critical incidents receive faster, more focused responses because they are not buried in correlated noise.
dZOps forecasts resource requirements from historical patterns, seasonal trends, and known business events and acts on those forecasts automatically. Infrastructure scales ahead of predicted demand spikes. Capacity scales down during forecast low-utilisation periods, eliminating the over-provisioning cost that accumulates when infrastructure is sized for peak demand and left running at trough utilisation.
Transform operational knowledge into versioned runbooks that execute automatically when their triggering conditions are met. Every successful incident resolution creates a new runbook candidate that the system can use to handle similar scenarios in the future. Operational knowledge starts living in the platform, always accumulating, improving, and remaining available regardless of team turnover.
Optimize the workload placement across cloud providers based on real-time cost, performance, and compliance data. Workloads migrate automatically to capture spot pricing opportunities, distribute geographically to reduce user latency, or shift to meet data residency requirements as they change. Cloud strategy is executed operationally.
Analyze query execution patterns, identify expensive operations, and automatically implement approved optimizations such as index creation, query rewrites, schema changes during maintenance windows with automatic rollback if post-change testing detects regression. Database performance improves continuously without requiring DBA scheduling, review, and manual implementation.
dZagentOps tracks every AI agent action across the platform, enforcing approval workflows for actions that exceed defined autonomy boundaries, blocking policy-violating actions before they execute, and maintaining the complete audit trail that regulated industries require. As autonomous operations scale, governance scales with them, ensuring that speed and accountability.
dZtestOps analyzes every code change and generates test cases covering edge conditions that manual testing consistently misses, including the conditions that production incidents have revealed as genuine failure modes. Test coverage grows with every deployment and every production issue, without requiring manual test authoring effort to keep pace with development velocity.
Extraordinary Impact, Maximum Value
Combine compute, holistic infrastructure management, and AI-driven operations, enabling enterprises with innovative solutions at scale for massive transformation and maximum value.
90% Incidents are auto resolved with on-call load slashing immediately with platform’s autonomous capabilities
60%-70% DBA Workload Reduction through automation of critical tasks, driving business outcomes.
40%-60% Test Coverage increase as test cases become automated through test code changes and production incident learnings
95% Alert Noise is eliminated with intelligent alert correlation where 50+ service alerts come with one root cause alert.
>80% of Operations are automated with deep integration into your infrastructure, enabling operational excellence
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.