One of the biggest challenges for some of our customers was allowing non-engineering teams, such as Support, Sales, or Sustomer Success teams, to raise incidents for specific Dev/Infra/Security/Ops teams on Zenduty in a structured and efficient manner as soon as a customer reports an issue. In many organizations, we observed that non-technical team members often needed to switch between platforms, fill out complex forms, or reach out to multiple stakeholders manually to ensure that an issue is escalated.

In today’s fast-paced digital world, customer satisfaction is the top priority of every other business. To ensure that customer stays satisfied with your service and application at all times, businesses must work on reducing their downtime and guarantee quick resolutions. Excessive downtime can be expensive for any business and its brand reputation. Hence, adapting practices that eliminate issues responsible for downtime is crucial for maintaining seamless IT operations.

Outages cost millions and even billions for businesses across different spheres. For example, Amazon may lose up to $34 billion in sales within an hour of downtime, and a service outage back in March cost Meta nearly 100 million in revenue. However, that’s not all that was lost. Due to poor outage notifications and a lack of resolution details, many Meta users were kept in the dark about the outage. This Reddit thread shows many users were frustrated.

In the weeks since the Crowdstrike outage brought millions of systems to a halt, countless articles have been written about the cause of the outage, its impact, and the costs companies incur during service disruptions. Nearly every large company had hosts offline due to the faulty update in CrowdStrike’s Falcon software. BigPanda customers were no exception. On July 19, between 04:00 and 07:00 UTC, the BigPanda systems logged an increase in shared incidents.

Managing incidents is crucial to maintaining the security and integrity of an organization's information systems. ISO 27001 Incident Management provides a structured approach to addressing and resolving incidents in a way that minimizes impact and prevents recurrence. This framework doesn't just help organizations respond to incidents—it helps them create a robust system that anticipates and mitigates risks before they escalate.

Ever wonder why some IT teams can quickly resolve incidents while others struggle? The secret lies in mastering the Incident Management lifecycle. But don’t worry—this isn’t some dull, complicated process only experts can understand. The Incident Management lifecycle is simply a structured approach to handling incidents efficiently. And the best part? You can quickly get the hang of it.

ITOps and AIOps teams often face an overwhelming volume of notifications, many of which are false positives or low-priority alerts. The constant influx creates a chaotic environment. ITOps and AIOps teams can easily miss critical issues, potentially leading to system failures or prolonged downtime. Spending significant time sifting through irrelevant alerts reduces team efficiency and slows response. Focus on alert noise reduction to ensure that only meaningful and actionable alerts reach your teams.

Rapid, proactive responses to unexpected system behavior and swift, efficient incident remediation are hallmarks of great IT teams. But the most successful NOC and incident management teams share the following: The right context gives teams visibility across systems, helps them collaborate and share knowledge, and makes every team member more efficient.

Data quality testing is a subset of data observability. It is the process of evaluating data to ensure it meets the necessary standards of accuracy, consistency, completeness, and reliability before it is used in business operations or analytics. This involves validating data against predefined rules and criteria, such as checking for duplicates, verifying data formats, ensuring data integrity across systems, and confirming that all required fields are populated.