Operations | Monitoring | ITSM | DevOps | Cloud

Browser Monitoring Software: A Complete Buyer's Guide for Modern Web Applications

Modern web applications rely on complex front-end frameworks, APIs, and third-party services to deliver seamless user experiences. Even minor performance issues—slow load times, broken workflows, or browser-specific errors—can lead to lost conversions, frustrated users, and reputational damage. Browser monitoring software provides IT teams, developers, and business stakeholders with visibility into application performance from the end-user perspective.

Monitoring Client-Side Routing Frameworks: SPA, CSR & Hybrid

Modern web applications have shifted their center of gravity. The page is no longer the system— the runtime is. Frameworks like React, Angular, Vue, Next.js, SvelteKit, Remix, and Nuxt treat HTML as a bootloader, and the real application emerges only after hydration, routing, data fetching, and continual re-rendering. What users experience depends entirely on JavaScript execution, not static markup. Teams usually discover this shift when the UI appears to load but nothing works.

AWS Batch On EKS: Streamlining Containerized Workloads

Machine learning pipelines are getting heavier by the day. From model training to large-scale inference and data preprocessing, compute demands are scaling faster than teams can manage. Kubernetes clusters groan under unpredictable job spikes. Static infrastructure wastes money when workloads slow down. The result? Organizations are perpetually chasing flexibility, automation, and cost efficiency. AWS has quietly built a solution to establish that balance.

Your Guide To Inference Cost (And Turning It Into Margin Advantage)

AI adoption is exploding, but margins aren’t. In fact, an MIT analysis reports that 95% of organizations have yet to see measurable ROI from GenAI. This gap becomes obvious as soon as teams push a model into production and usage begins to scale. For most workloads, the pressure comes after training. Every message, call, query, completion, or retrieval triggers compute behind the scenes. That real-time execution is what AI inference is all about.

Which Observability Tool Helps with Visibility Without Overspend

If you’re trying to control observability spend without cutting visibility, the platforms that usually offer the best cost balance at enterprise scale are Last9, Grafana Cloud, Elastic, and Chronosphere — depending on the shape of your telemetry and the level of operational ownership you want.

AI Is Growing Your Data Faster Than Your Budget #telemetry #ai

Clint Sharp explains why data is growing at a 30% CAGR while budgets stay flat. Teams are already running infrastructure at 80 to 90% capacity, and AI agents multiply query volume by ten or fifty. What got you to 2025 will not get you to 2035. You need a new approach to handle AI scale without blowing up cost.

AI Agents Need Structured Telemetry. Are You Preparing? #telemetry #ai

Clint Sharp breaks down the shift from traditional observability to AI ready telemetry. Agents need well formed fields, consistent schemas, and predictable data models. If your environment is full of unstructured logs, agents will give inconsistent answers. The work starts now so your AI future can actually deliver value later.

Enhancing Outlook Performance with Ivanti Neurons Automation Bots #shorts

Ivanti is a leading enterprise software company that offers a powerful, cloud-based IT and security platform. Our solutions are designed to scale with your business, helping IT and Security teams boost operational efficiency, cut costs and stay ahead of security threats. The Ivanti Neurons platform is cloud-native, providing a unified and reusable foundation for consistent visibility, scalability, and secure delivery. Trusted by over 34,000 customers, including 85 of the Fortune 100, Ivanti empowers organizations to tackle challenges with end-to-end solutions.

Rollbar + Zapier AI: Automatically Generate Clear, Actionable Jira Tickets

How do you turn raw error payloads into clean, meaningful ticket summaries without touching a line of code? Engineering teams rely on fast, accurate error context to resolve issues efficiently. Rollbar does a great job capturing rich payload data at the moment an error occurs, but getting that data into your issue-tracking workflow can still require manual triage—especially if you want clean, human-readable summaries in Jira.

Rollbar + Zapier AI: Automatically Generate Clear, Actionable Jira Tickets

How do you turn raw error payloads into clean, meaningful ticket summaries without touching a line of code? Engineering teams rely on fast, accurate error context to resolve issues efficiently. Rollbar does a great job capturing rich payload data at the moment an error occurs, but getting that data into your issue-tracking workflow can still require manual triage—especially if you want clean, human-readable summaries in Jira.