Operations | Monitoring | ITSM | DevOps | Cloud

Data is the lifeblood of modern organizations. Since data helps teams make better decisions and provide a competitive edge, it’s also a target of bad actors looking to steal sensitive information or launch ransomware attacks. From software vulnerabilities and weak authentication mechanisms to malware and inadequate access controls, there’s no shortage of ways for hackers to infiltrate networks and gain access to mission-critical data.

Mattermost has embarked on a transformative journey in cloud optimization. This journey is marked by strategic initiatives, innovative approaches, and valuable lessons, all aimed at enhancing efficiency and reducing costs. This blog post explores the successful strategies that have guided our cloud optimization efforts. It also highlights our future direction with an emphasis on ARM/Graviton workloads and shares insights from our experiences, particularly regarding spot instances.

The average data breach already costs organizations $4.45 million, and it appears that damages will only become more expensive as time goes on. In fact, one report found that cybercrime will cost the world $10.5 trillion by 2025. While organizations can’t necessarily prevent hackers from targeting their systems, they can take proactive steps to strengthen cybersecurity and develop incident response plans that enable them to keep bad actors at bay and swiftly address incidents whenever they occur.

Monitoring Azure Service Bus (SB) comes with its own set of challenges, primarily due to the distributed nature of the service and the complexities involved in message processing and delivery. Some of the most common challenges associated with monitoring Azure SB include: Message Flow Monitoring: Tracking the flow of messages through various queues or topics, including understanding where bottlenecks might occur or where messages might be delayed.