Operations | Monitoring | ITSM | DevOps | Cloud

From First Notice to Final Settlement: How Automation is Reshaping the Claims Workflow

Automation is reshaping the insurance industry by enhancing efficiency in claims processing. As companies adopt automated solutions, the traditional methods of handling insurance claims are evolving. This transformation promises improved accuracy and customer satisfaction while presenting new challenges.
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Avantra + Ansible: Better Together for Enterprise SAP Automation

Enterprises trust Ansible for fast, reliable infrastructure automation, including terraform for automated cloud provisioning. Many organizations using Ansible leverage Ansible SAP playbooks for SAP infrastructure automation. Avantra extends the scope of SAP operations using Ansible, adding observability, ITSM and ALM solution integration, and orchestration across the SAP estate. Avantra and Ansible together provide a closed-loop solution where monitoring, automation and proof of outcome live in one place across on-premise, hyperscaler and private cloud ERP implementations.

Settle Your QA Debt Before the Bugs Start Breaking Kneecaps

In Part One, we discussed how QA debt builds silently over time — causing slower releases, late-night firefights, and unpredictable test cycles. The next step is understanding how much debt you have and where it hides. This post goes deeper into measuring QA debt — what to track, how to collect data, and how to use those insights to create a sustainable plan for improvement.

Dropbox vs Google Drive: What is the Best Cloud Storage Service?

When you hear the words cloud storage, you usually think of Google Drive and Dropbox. Why? Because they are huge and old, and they spend millions (maybe billions) trying to ensure you never forget who they are. So, which one of the old tech nobility is better? Is Google Drive or Dropbox cheaper? Which one is the better option for you? Or is there a better and more private cloud sternative you could choose instead?

Chargeback Vs. Showback: Choosing The Right Cost Allocation Model For FinOps

One of the most challenging aspects of running a SaaS business is dealing with highly variable costs. Every service you provide needs resources, and the demand for those resources fluctuates. Just when you think you’ve got this quarter’s budget nailed down, an engineer makes a restructuring decision or a new feature launch exceeds expectations (or falls flat). Suddenly, your bill looks totally different than what you were expecting.

IT Inventory Management Software: 8 Options For 2026

IT Inventory Management software is essential for organizations because it automates and streamlines many of the tasks involved in managing IT assets. With so many options available, choosing the right one isn’t always easy. To help, we combined market research based on public data with our experience supporting hundreds of organizations in implementing InvGate Asset Management, our IT Asset Management solution.

Shadow AI on Trial: The Phantom Threat to Compliance

Every law firm I meet can explain its information security policy in minutes. Far fewer can tell me which AI tools their staff actually used last week, and what data those tools touched. That gap is where Shadow AI sits, such as unsanctioned, unmonitored use of generative AI slips in. It promises speed, but it quietly creates exposure: confidentiality breaches, weak auditability, and a risk to governance when the regulator (or a client’s GC) asks hard questions.

Bring incident response to AI stack with ilert's MCP Server

ilert’s engineering team has developed an open Model Context Protocol (MCP) server that enables AI assistants to securely interact with your alerting and incident management workflows, from determining who is on call to creating incidents. In this article, we provide a simple explanation of MCP, outline the reasons behind our investment in it, describe the high-level architecture, and explain how to connect Claude, Cursor, and other MCP clients to ilert today.

How Cortex brings visibility, governance, and self-service to Kubernetes operations

Platform teams handle cluster provisioning manually because it requires oversight. A product team needs a cluster, so they submit a request. Someone reviews the configuration, provisions it through the cloud provider, waits for it to spin up, and sends back access details. Two days later, the cluster is ready. The delay is intentional. Without review, teams provision oversized clusters that blow budgets, misconfigure networking, or deploy in the wrong regions.