Apache Kafka is the go-to solution for companies needing to move data fast and efficiently, but here’s the catch—when you’re handling sensitive data, the stakes are high. One misstep in your security configuration, and you’re not just dealing with a hiccup; you could be looking at full-blown security breaches, unauthorized access, or lost data. No one wants that. Yet, many organizations still stumble into the same security pitfalls.

Datadog has established itself as one of the leading solutions for monitoring, logging, and analytics. But with the increasing number of alternatives available, many businesses are asking, "Is Datadog worth the price?" This article breaks down Datadog's pricing structure, the value of its features, and compares it to competitive alternatives. By the end, you'll have a clear understanding of whether Datadog is the right fit for your business.

As businesses increasingly rely on cloud services, managing cloud environments efficiently has become more crucial than ever. Oracle Cloud Infrastructure (OCI) is a leading cloud service provider, offering a robust suite of cloud services—spanning computing to networking and storage. But to ensure that your cloud resources are always operating optimally, monitoring is not just recommended, it is essential.

Imagine waking up to a critical system failure that has brought your business operations to a standstill. Panic sets in as you scramble to understand what went wrong. You sift through various error messages, desperately trying to pinpoint the issue.

BigQuery’s pipe syntax introduces an intuitive, top-down syntax for understanding data transformations, and is used in Cloud Logging Log Analytics.

Azure monitoring involves tracking and analyzing the health and performance of your cloud infrastructure hosted on Microsoft Azure. It involves gaining real-time insights into the performance of Azure resources, such as virtual machines, databases, and applications, enabling you to identify and resolve issues before they impact your operations. With a plethora of options available in the market, choosing the right Azure monitoring software can be a daunting task.

Autoscaling in cloud computing is the ability of a system to adjust its resources in response to changes in demand automatically. This guarantees that applications always have the resources they need to perform optimally, even during periods of high traffic. Autoscaling eliminates manual intervention, allowing your dev team time to focus on your product. All major cloud providers like AWS, Azure, and Google Cloud Platform offer robust autoscaling solutions with many features and capabilities.

Chasing false alerts — or worse, having your system go down with no alerts or telemetry to give you a heads-up — is the nightmare we all want to avoid. If you’ve experienced this, you’re not alone. Before joining Splunk, I spent 14 years as an observability practitioner and leader for several Fortune 500 companies and in my 2.5 years with Splunk I have had the opportunity to work with customers of all shapes and sizes.

Network drops can seriously impact business operations, leading to lost productivity, communication breakdowns, and even financial losses. Whether you're managing critical systems, supporting remote teams, or delivering services to customers, a stable network is essential for maintaining business continuity. But what causes these network drops? How can you fix them? And most importantly, how can you prevent them from happening again?

Data fabrics are cohesive data layers that bridge data sources with data consumers, including analytics platforms such as SIEMs. They automate tasks like data ingestion, integration, and curation across diverse data sources, improving the agility and responsiveness of data ecosystems. More specifically, a security data fabric adds additional capabilities, including governance and compliance, security enrichment, and the integration of security events.