Operations | Monitoring | ITSM | DevOps | Cloud

This blog post discusses some of the best practices for balancing the costs of cloud traffic monitoring while maintaining a reasonable level of visibility. Progress Flowmon 12 has introduced the processing of native flow logs from Google Cloud and Microsoft Azure, plus it has enhanced support for Amazon Web Services (AWS) flow logs.

Many of the world’s top DevOps teams at leading companies like Microsoft, SpaceX, CoreLogic, and many others, choose Uptrends Synthetic Monitoring because of its reliability and ease at which it simulates end-user experiences accurately and transparently.

ARM processors become more popular and more cost-effective according to many benchmarks. One of them was made by Percona for MySQL. Some of our users reported issues with VictoriaMetrics at AWS Graviton instances. The main concerns were higher CPU and disk IO usage compared to x86 instances of the same size and for the same workload. By that time, we verified that VictoriaMetrics works fine for raspberry and IoT devices, but didn’t do any optimizations for ARM builds.

The idea of paying money to store logs nobody is looking at may seem like a waste. Well, that is until you need those logs. At that point, you see how valuable log retention is, especially if there’s a security or compliance issue. When you prioritize log retention, you can look back to investigate an incident or provide data for an audit — especially when you centralize log and metric data in one platform.

In today’s world of flexible work, technology has to be one thing above all else: versatile. A decade ago, virtual desktop infrastructures (VDI) wouldn’t have been able to meet this moment – VDI used to be too narrow and restricted in terms of what use cases it could service. Fortunately, VDI has evolved dramatically since those days. Now, with the right resources, there’s very little you can’t accomplish through virtual desktops.

There are different positions on whether observability and monitoring are two sides of the same coin. We will analyze and explain what the observability of a system is, what it has to do with monitoring and why it is important to understand the differences between the two.

Monitoring and gaining additional insights about usage of your Splunk Cloud Platform deployment is essential for effective management as a Splunk admin. Your Splunk Cloud comes with the Cloud Monitoring Console (CMC) app, which displays relevant information about the status of your Splunk Cloud environment using pre-built dashboards.

We have always thought of our organization as special. Our plans were never to build a traditional business, and we know we have a unique culture. But it is nice when others outside of our company recognize that Grafana Labs is something special, too. This week, we were excited to be included on two very prestigious lists: The Enterprise Tech 30 and America’s Best Startup Employers.

The jitter and latency are the characteristics related to the flow in the application layer. Jitter and latency are the metrics used to assess the network's performance. The major distinction between jitter and latency is that latency is defined as a delay via the network, whereas jitter is defined as a change in the amount of latency. Increases in jitter and latency have a negative impact on network performance, therefore it's critical to monitor them regularly.

While relational database management systems (RDBMS) are efficient with storing tables, columns, and primary keys in a spreadsheet architecture, they become inefficient when there’s a lot of data input received over a long period of time. Databases designed specifically to store time series data are known as time series databases (TSDB). For example, an RDBMS might look like this.