This is going to be the first of at least two posts about how we, in the Mezmo platform team, use Pipeline to handle metrics. It’s an ongoing effort and everything might change as we move forward and learn, but this is our plan and vision.

The combination of cost-effectiveness, scalability, accessibility, rapid deployment, and focus on core competencies has fueled the growth of Software as a Service (SaaS) applications, making them increasingly popular among businesses of all sizes and industries. However, because of this increased dependency on SaaS applications, it has become essential to conduct effective monitoring.

Syslog entries offer crucial information about the health and status of various components within a system or network. Administrators can utilize syslog data to monitor system activities, identify anomalies, and take proactive measures to ensure system stability and security. In this blog, we'll share a few useful queries for monitoring syslog using Site24x7's log management features. These queries are meant to improve network visibility and simplify troubleshooting.

In our webinar, Mastering Telemetry Pipelines: A DevOps Lifecycle Approach to Data Management, hosted by Mezmo’s Bill Balnave, VP of Technical Services, and Bill Meyer, Principal Solutions Engineer, we showcased a unique data-engineering approach to telemetry data management that comprises three phases: Understand, Optimize, and Respond.

During the early periods of cloud computing, most organizations used single-location data centers. These single-location data centers often faced higher risks of downtime and service disruption due to localized disasters or hardware failures. As a solution to these problems, cloud services like AWS introduced the concept of availability zones. This introduction was an important milestone in the evolution of cloud computing, as it facilitated high availability through geographic distribution.

Without collaborations between organizations, the tech industry wouldn’t be where it is today. Customer expectations and needs don’t exist in a silo. They need their tools to work together to solve problems and deliver value regardless of the vendor. With data growth at a 28% CAGR and cybersecurity threats on the rise, customers need their entire suite of tools working for them in a cohesive manner.

To buy or to build... that is the question businesses must ask when deciding to buy off-the-shelf software or create custom software to satisfy their business needs. Deciding whether to buy off-the-shelf software or create custom software is a lot like choosing between a ready-made meal and cooking a meal from scratch. It's a big decision for any business (or hungry person). Let's imagine we're planning dinner...

What do you need to achieve observability? Who you ask and the role they hold will influence the answer, but the answer likely follows this pattern: “You only need is how you define observability.” I cannot disagree with this logic. A specific use case may only need a specific type of telemetry. Experience and expertise allow engineers to quickly answer questions about a system without expanding into adjacent data types.

KubeCon Europe 2024 in Paris was the biggest event of the Cloud Native Computing Foundation (CNCF) to date. With over 12,000 participants, it was a monumental event, setting the stage for the latest trends and developments in cloud-native computing. As your loyal CNCF Ambassador, I’m here to share some of the important updates you don’t want to miss. I also invited fellow CNCF Ambassador Thomas Schuetz to join me with his own insights.

Monitoring tools are critical for DevOps, enabling them to quickly find and rectify performance issues. With the increasing popularity of Docker, it has become crucial that organizations can effectively monitor these containers. But, as monitoring Docker containers is particularly complex, developing a strategy and an appropriate monitoring system is not simple. However, this process can be streamlined by utilizing a Docker monitoring tool.