Operations | Monitoring | ITSM | DevOps | Cloud

Organizations face significant challenges in increasing the efficiency of their growing cloud spending, even as the flexibility and variety of available cloud services offer many opportunities for optimization. Cloud environments are complex and dynamic due to the breadth of services and the drive to adopt new technologies, such as Arm-based processors and GPUs that enable AI capabilities.

‍This is a follow-up to two previously published posts on Pietrasanta Traceroute, Catchpoint’s traceroute alternative. Check out the first for technical details about how it works and the second to understand how it solves firewall and path challenges inherent in existing traceroutes. We’re continually looking for ways to respond to the evolving demands of the Internet to create the most useful network (& general IPM) monitoring capabilities.

IT service outages, while inconvenient, also carry widespread ramifications that affect productivity, revenue streams, business reputation, and customer satisfaction. These outages can also drive burnout and increased human error for the IT operations (ITOps) teams tasked with managing the stress that comes with urgent issues and escalations.

A while back, we covered how to check your Windows IIS and Loggly logs to view the source of a DDoS attack, but how do you know when your network is under attack? It is not efficient to have humans monitor logs every day and every hour, so you must rely on automated resources. Automated DDoS monitoring gives your security team more bandwidth to focus on other important tasks and still get notifications should anomalies happen due to a DDoS event.

When it comes to managing costs in the Azure cloud, it is essential to have a reliable system that can help you keep track of your spending and alert you when you are getting close to exceeding your budget. This is where Turbo360’s Budgets monitoring feature comes in. The Budgets monitoring feature in Turbo360 is designed specifically for Azure cost monitoring.

Multi-cloud visibility is a challenge for most IT teams. It requires diverse telemetry and robust network observability to see your application traffic over networks you own, and networks you don’t. Kentik unifies telemetry from multiple cloud providers and the public internet into one place to give IT teams the ability to monitor and troubleshoot application performance across AWS, Azure, Google, and Oracle clouds, along with the public internet, for real-time and historical data analysis.

Apache Kafka has become an essential component in data streaming and processing architectures due to its high throughput and scalability. However, as organizations scale up their Kafka usage, they often encounter challenges such as partition rebalancing across different brokers. This imbalance can lead to significant issues, including overloaded partitions that jam traffic, affecting performance and reliability.