Operations | Monitoring | ITSM | DevOps | Cloud

Acuity Scheduling or Calendly: What to Consider Before You Decide

In today's fast-paced business world, managing appointments efficiently is crucial. Whether you're a solo entrepreneur, small business owner, or part of a larger organization, finding the right appointment schedule software can make a world of difference. Two popular options that often come up in discussions are Acuity Scheduling and Calendly. But how do you decide which one is right for you? This comprehensive guide will walk you through the key factors to consider, helping you make an informed decision that aligns with your specific needs.

The Role of Real-Time Data in Maintaining Manufacturing Standards

In today's fast-paced manufacturing landscape, staying ahead of the curve is crucial. Real-time data has emerged as a game-changer, revolutionizing how factories operate and maintain quality standards. This article delves into the pivotal role of real-time data in upholding manufacturing excellence, exploring its benefits, challenges, and implementation strategies.
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Incident Response Process: Stages, Framework & Best Practices

These days, organizations must be prepared to handle unexpected disruptions efficiently. Whether it's a cybersecurity breach, system failure, or a natural disaster, having a structured Incident Management Process is essential. The Incident Management Team plays a crucial role in swiftly identifying, assessing, and resolving incidents, minimizing downtime, and ensuring business continuity. This blog explores the stages, framework, and best practices of incident management to help businesses build a robust response system.
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Monitoring for operations of SAP S/4HANA Cloud, public edition

"Do I need to monitor SAP S/4HANA Cloud, public edition?" is the question many SAP customers are asking right now as projects are going live. As an SaaS product run by SAP, customers get access only through a public website, and SAP are responsible for the availability of that website and the hardware resources. The places where traditional monitoring focussed either aren't relevant, aren't visible, or superficially aren't the customer's problem anymore. Does that mean there is no need to monitor anything in SAP S/4HANA Cloud, public edition?

Retail digital performance event recap: Key insights from IBM & Catchpoint

We hosted the first IBM and Catchpoint Retail Digital Performance event on Wednesday, March 19, 2025. The sessions offered practical, thought-provoking insights on speed, resilience, and user-centric design—giving attendees fresh strategies to improve digital experiences at scale.

AI On A Budget: Low-Cost Strategies For Running AI In The Cloud

AI costs can spiral out of control before you know it. One day you’re building an AI feature that promises to bring in a solid chunk of revenue for the company. The next day you’re obsessing over an astronomically high cloud bill that will significantly eat into your profits — or consume them entirely. To help you solve this problem, we brought in Jeremy Daly, Director of Research (and AI cost management guru) at CloudZero.

Dashboard updates: Fewer clicks, more control, faster widget building

You're reviewing your production metrics when suddenly an error spike appears on your dashboard. Your immediate thought isn't "how do I build a new view to investigate this?" but rather "how do I find out the cause quickly?" This is exactly what happened to one of our engineering teams last month when they spotted an unusual pattern in their API response times. Instead of running ad-hoc queries from scratch, they turned to a custom dashboard they had built after a past incident.

Preventing Alert Storms with InfluxDB 3's Processing Engine Cache

A common problem in monitoring and alerting systems is not just alerting on what you’re seeing but preventing alert storms from overwhelming operators. When a system generates multiple notifications for the same incident, it leads to alert fatigue and can mask other important issues. For time series data, alert fatigue can result in missed anomalies, delayed responses to critical trends, and difficulty distinguishing real performance degradations from noise.

Drift Away: The Hidden Risk of Large-Scale Kubernetes Environments

Configuration drift is a silent but persistent challenge in managing Kubernetes environments at scale. Whether you’re running workloads across multiple clusters in on-premises data centers, cloud providers, or edge locations, the risk of drift increases exponentially as environments grow. According to a Komodor survey, 40% of Kubernetes users report that configuration drift negatively impacts the stability of their environments.