Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence (AI) and machine learning (ML) are two cutting-edge technologies that are revolutionizing the field of website development. AI refers to the ability of computers to perform tasks that typically require human intelligence, such as recognizing speech, understanding natural language, and making decisions based on data. On the other hand, ML is a subset of AI that involves training algorithms to learn from data and make predictions or decisions based on that learning.

Engineers know best. No machine or tool will ever match the context and capacity that engineers have to make judgment calls about what a system should or shouldn’t do. We built Honeycomb to augment human intuition, not replace it. However, translating that intuition has proven challenging. A common pitfall in many observability tools is mandating use of a query language, which seems to result in a dynamic where only a small percentage of power users in an organization know how to use it.

Time series data streams are often noisy and irregular. But it doesn’t matter if the cause of the irregularity is a network error, jittery sensor, or power outage – advanced analytical tools, machine learning, and artificial intelligence models require their data inputs to include data sets with fixed time intervals. This makes the process of filling in all missing rows and values a necessary part of the data cleaning and basic analysis process.

April has come and gone, and we’ve got more exciting news to show for our efforts! This month, our teams have been hard at work: Keep reading for more details!

After the craziness of the last few years, who can blame IT, DevOps, and operations teams for wanting more stability in their personal lives and jobs? Yet the message from the top isn’t in line with this: Gartner reports over 94% of CEOs aim to accelerate pandemic-era digital transformation and are investing 5.1% more into IT budgets. This means threading a delicate balance between stability and scalability.

Grafana Agent v0.33 is here! This new release includes a lot of exciting features, such as a powerful way to configure Grafana Agent with Flow Modules and the ability to monitor Kubernetes pods in your cluster with an Operator Flow component. We also added many more Flow components making the Flow ecosystem bigger!

We understand the importance of security when it comes to your SAP system(s) within your organization. As cyber attacks continue to become more successful, it is essential to have a process in place. Below are several frequently asked questions regarding security to provide some insight on our approach and how Avantra can help you navigate through this journey.