Content by dchelupati (10)
dchelupati shares an in-depth overview of Azure SRE Agent's general availability, covering new operational, onboarding, and automation features for SRE and DevOps practitioners using Microsoft Azure.
dchelupati introduces the Azure SRE Agent’s general availability, describing its new operational and automation features for Site Reliability Engineering on Azure, including integration, workflow orchestration, and deep diagnostic capabilities.
dchelupati explores how Deep Context transforms the Azure SRE Agent, enabling it to learn and act like your best SRE by leveraging continuous code access, persistent memory, and automation for incident response.
In this practical guide, dchelupati demonstrates how SRE Agent can automate incident diagnosis and ticket creation by connecting Azure Managed Grafana and Jira—even without native integrations—using MCP and Azure Container Apps.
dchelupati walks through setting up the Azure SRE Agent for proactive cloud operations, demonstrating how to automate cloud optimization across cost, security, and performance using continuous checks and integrations with GitHub and Teams.
dchelupati describes how gaps in Azure Monitor alert coverage became apparent during a Redis credential rotation in an AKS application, and how Azure SRE Agent and GitHub MCP integration accelerated incident diagnosis and alert remediation.
dchelupati demonstrates how Azure SRE Agent, in combination with Copilot and GitHub Coding Agent, enables developers to debug, document, and automatically fix complex infrastructure bugs in Azure app deployments using AI-driven workflows.
dchelupati details an automated workflow using Azure SRE Agent and MCP to classify and route customer issues, reducing manual triage for engineering teams.
In this post, dchelupati details how Azure SRE Agent can automate the tedious on-call runbook execution process for DevOps and SRE teams, enabling faster, more reliable incident diagnostics.
dchelupati details how Azure SRE Agent's scheduled tasks enable SRE teams to automate proactive monitoring, incident response, and compliance checks using natural language prompts and Azure's automation ecosystem.
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