Operations | Monitoring | ITSM | DevOps | Cloud

Anomaly detection is one of the most common problems that Splunk users are interested in solving via machine learning. This is highly intuitive, as one of the main reasons our Splunk customers are ingesting, indexing, and searching their systems’ logs and metrics is to find problems in their systems, either before, during, or after the problem takes place. In particular, one of the types of anomaly detection that our customers are interested in is time series anomaly detection.

It has been a veeeeery long time since we discussed a technical concept from an ingenious allegory. Many people send us emails asking us why, and we have to admit that… it’s true, everything is quite more fun with fantastic allegories. So be it then! At the request of our fans. Let’s talk today about ITSM and Monitoring Support through an invented event from which we can then draw a technical lesson.

We’ve all been surprised by our cloud monitoring bill at one time or another. If you are a BindPlane OP customer ingesting Host Metrics into Google Cloud Monitoring, you may be wondering which metrics are impacting your bill the most. You may have metrics enabled that aren’t crucial to your business, driving unnecessary costs. How do we verify that and remediate?

With the acceleration of cloud and digital transformation initiatives, enterprises are under pressure to adopt more agile, DevOps practices to be responsive to the business. But the increased complexity of digital systems and reliance on digital business only makes the cost of incidents more expensive.

In the realm of software development and testing, end-to-end (E2E) testing plays a pivotal role in ensuring the robustness and reliability of web applications. Unlike unit or integration testing, which focuses on specific components or integrations between them, end-to-end testing evaluates the entire system as a whole. This includes testing the flow from the user's perspective, from start to finish, and often involves multiple systems and components working in unison.

In today’s world, with Large tech giants and businesses looking forward to moving toward serverless architecture, there has been a significant demand for scaling the applications. It’s therefore no surprise that millions of companies worldwide have adopted, or are planning on migrating to a Kubernetes and AWS Lambda solution to take their serverless applications to the next level.

Dashboards are great ways to visualize different KPIs in a single place. Metrics from all over your system can be framed together and viewed on a single screen, helping to correlate them and reducing the overall effort of analysis. But when it comes to Grafana vs. SolarWinds, which one is better? It is often difficult to choose between their dashboarding capabilities. Both tools provide their own visualizations and help bring out interactive dashboards for users to use.