Operations | Monitoring | ITSM | DevOps | Cloud

Organizations today rely on cloud object storage to power diverse workloads, from data analytics and machine learning pipelines to content delivery platforms. But as data volumes explode and storage patterns become more complex, teams often struggle to understand and proactively optimize their storage utilization. When issues arise—such as unexpected costs or performance bottlenecks—these teams frequently lack the visibility needed to quickly identify and resolve root causes.

AWS VPC flow Logs and Azure NSG flow Logs offer network traffic visibility with different scopes and formats, but both are essential for multi-cloud network management and security. Unified network observability solutions analyze both in one place to provide comprehensive insights across clouds.

Distributed Denial of Service (DDoS) attacks are intended to overwhelm a network or server and cause failure or work stoppage. DDoS attacks first appeared in the mid-1990s and continue to the present day. Far from going away, they have become more prevalent: in the first quarter of 2024, the number of DDoS attacks against web servers increased by 93% compared to the same period a year earlier. One survey found that nearly 70% of organizations experienced 20 to 50 DDoS attacks per month.

Like all organizations, Elastic deals with an ever-increasing volume of information and data, making it harder for our teams to keep information up to date and for employees to find answers from relevant resources. As a leading Search AI company, our approach to customer-first starts with customer zero — us. When our employees needed a better way to find the information necessary to do their jobs, we knew we could use our own technology to bring that vision to life.

We’re always interested in improving the signal-to-noise ratio of our internal telemetry at Honeycomb. In an effort to reduce the amount of noise in our logs, we looked at reducing and deduplicating the logs emitted by our infrastructure and applications.

SolarWinds just dropped a whitepaper, From Monitoring to Mastery: Optimizing Database Performance With Observability. Among the highlights is a breakdown of the four most critical components of database observability. Has your organization got these covered?

In a world driven by data, efficient time series data management is a growing concern. APIs play a significant role in automating tasks, especially in cloud-based environments. Go, with its high performance and concurrency, is quickly becoming one of the standard languages for writing cloud infrastructure and utilities for managing streams of data.