Operations | Monitoring | ITSM | DevOps | Cloud

Causal Inference: Determining Influence in Messy Data

When analysing data one of the biggest questions you may often face is: what is causing this situation? In this blog, we’re going to look at how causal inference can be used to understand in more detail what the biggest influencing factors are across a dataset. Traditionally in Splunk, we talk about correlation; does metric x go up or down in accordance with metric y or is there a relationship between x and y?

Improving search relevance with data-driven query optimization

When building a full-text search experience such as an FAQ search or Wiki search, there are a number of ways to tackle the challenge using the Elasticsearch Query DSL. For full-text search there’s a relatively long list of possible query types to use, ranging from the simplest match query up to the powerful intervals query.

The Secret Ingredient That Converts Metrics Into Insights

Metrics and Insight have been the obsession of every sector for decades now. Using data to drive growth has been a staple of boardroom meetings the world over. The promise of a data-driven approach has captured our imaginations. What’s also a subject of these meetings, however, is why investment in data analysis hasn’t yielded results. Directors give the go ahead to sink thousands of dollars into observability and analytics solutions, with no returns.

6 ways to use analytics to deliver an exceptional end-user experience: Part 2

Welcome to the second part of our three-part blog series on leveraging analytics to deliver an exceptional end-user experience. In the last part, we discussed two key points: how to gauge the effectiveness of your support forms using analytics, and how to pick the right metrics that focus on customer satisfaction. In this part, we’ll discuss the next two ways analytics can help you deliver an exceptional end-user experience.

Data World Highlights: T-Mobile Netherlands, Anodot Discuss the Future of Network Monitoring

During the Data World event, Erwin Halmans, Project Manager of Data-Driven Network Operations & Assurance at T-Mobile Netherlands, Shounit Lax-Swisa, CEO of Company Booster, and Anodot Chief Data Scientist and Co-Founder Ira Cohen got together to discuss the future of network monitoring.

InfluxDB Cloud is on AWS US East

We’d like to let you know that InfluxDB Cloud is now on AWS US East, also called us-east-1, based in northern Virginia. This is our third AWS region, after initially launching InfluxDB Cloud in AWS Oregon and later AWS Frankfurt. This brings InfluxDB Cloud’s effortless scaling, flexible usage-based pricing, AWS marketplace integration, and a broad range of AWS connectivity points to customers that want to manage their time series data in the eastern United States.

How to Add a Data Node to your Elasticsearch Cluster

Have you ever had trouble working with Elasticsearch clusters? You’re not alone. In this post, I will discuss a problem I’ve encountered working with large Elasticsearch clusters and how I solved it. I will share a lot of knowhow on major technical Elasticsearch concepts, some diagrams for illustration, and of course a cool solution! In particular, I will go into Elasticsearch nodes, indices, and shards.

Anodot the business monitoring platform

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. This is machine learning packaged in a turn-key solution – no data science experience needed.