Operations | Monitoring | ITSM | DevOps | Cloud

In this blog post, we'll dive into the critical role of application observability in maintaining optimal performance and uptime. We'll explore how it works, why it's essential, and how it transforms challenges into opportunities for growth and improvement. So, if you're looking to elevate your application's performance and reliability to new heights, you're in the right place.

Imagine you're leading a team of engineers responsible for monitoring and optimizing the performance of a cloud-based application used by millions of users worldwide. As the application continues to scale, you recognize the pressing need for a robust observability solution to learn about its distributed architecture. In this scenario, you're faced with an essential decision: choosing between OpenTelemetry and Datadog for distributed tracing and observability.

There’s been a lot of recent interest in eBPF (extended Berkeley Packet Filter) and its application for container security solutions. Let’s examine eBPF’s features and benefits and how NeuVector utilizes them to enhance its full-lifecycle container security solution.

Cisco’s one-of-a-kind conference, Cisco Live EMEA 2024 in Amsterdam, marked a pivotal milestone in illuminating the path forward with a spotlight on AI, operational simplicity, and security. Bringing key network telemetry and correlating it with the business outcomes has become quite essential for Modern Enterprises and CloudFabrix addressed this by launching three new modules for the Cisco Observability Platform.

Modern hybrid IT estates generate huge volumes of data at velocity, a testament to today’s digital reality. But for IT Operations Management (ITOM) teams charged with keeping tabs on system health, this data proliferation can be a nightmare scenario. Tool sprawl, alert storms, manual analysis, and disconnected insights make maintaining a current state, let alone supporting better business outcomes, a perpetual challenge.

According to PYPL (PopularitY of Programming Language), Python has been the most popular programming language worldwide from 2018 to the present. Remarkably, Python’s popularity has grown by 2.5% over the last five years. In contrast, Java, the previously most popular language, has seen a 4.8% decrease in its popularity. While Java is typically faster than Python, Python is easier to read with its simpler syntax.

If you’ve been keeping up on what’s buzzing in the IT operations and software development space in the past few years, then you know that the concepts of AIOps and observability have been getting a lot of attention. And while they are related, they each address a different aspect of managing and monitoring IT systems.

For years, we’ve been installing what vendors have referred to as “agents” that reach into our applications and pull out useful telemetry information from them. From monitoring agents, to full-blown APM tools, this has been the standard for many decades. With OpenTelemetry though, the term “agent” isn’t used as much, and in most scenarios means something slightly different.