Operations | Monitoring | ITSM | DevOps | Cloud

In the realm of data and complex scenarios, we humans naturally gravitate towards visualizing things as entities with attributes, rather than just raw data. Consider the phrase, “The response time on our Ad Generation service has increased.” It immediately resonates with the audience supporting the service.

Last week, I attended the Amazon Web Services (AWS) re:Invent conference in Las Vegas, NV, with 50,000+ others. It was quite a busy week with several keynotes, announcements, and many sessions. While the hot topic at re:Invent was generative AI, I’ll focus my blog post on a few customer sessions I attended around observability: Stripe, Capital One, and McDonald’s. ‍

Today’s networks support a lot of traffic data, especially with the adoption of embedded systems. Furthermore, the complexity of the data passing through networks has significantly increased. Yet system administrators have to manage and secure these networks effectively. A network protocol analyzer is an essential component of network security and management that every administrator needs.

Network traffic analysis is an important aspect of computer network management. Organizations can gain valuable insights into the behavior of their network infrastructure, identify potential security threats, and optimize network performance by monitoring and analyzing network traffic. Several network traffic analysis tools have been developed to aid in this process, each with its own set of features and capabilities. What Is Network Traffic Analysis?

What is a Time Series Data Warehouse? How does it help in your monitoring journey? How does it differ from a Time Series Database? That and more.

Most SREs and IT Ops manage Java applications without source code access or communication with AppDev teams. When applications have performance issues those SREs or IT Ops teams deploying and maintaining the infrastructure often have to prove that it is the application at fault and supply information to the app supplier which provides evidence of the issue.

To recap from our first blog post, JFrog Workers is a service in the JFrog Platform that provides a serverless execution environment, similar to AWS Lambda services. The Workers Service is similar to the user plugins available in JFrog self-hosted, and can be used to perform tasks that extend the capabilities of the JFrog Platform according to your requirements.

Project management is a clear-cut routine where assets are wisely handled to reach objectives and fulfill success requirements within a set period. Tasks include preparing, organizing, safeguarding, overseeing, and control. Likewise, it has an exact beginning and ending, and aspires to develop something extraordinary, such as a report, service, or result. Handling a project is tricky. You have to reach your targets while watching out for limits like range, schedule, quality, and budget.

Tiered Storage for Apache Kafka® delivers an improved cost-to-performance ratio, increased operational flexibility, and greater scalability for customers.

As technology continues to advance at a rapid pace, a new frontier has emerged in the world of networks - the automated edge. But what exactly does this mean for business and why does it matter? In simple terms, automated edge refers to self-configuring, self-optimising, and self-healing capabilities being built into edge devices and software.