Operations | Monitoring | ITSM | DevOps | Cloud

In a previous blog post I discussed the complexity of securing Kubernetes environments, and some best practices. Unfortunately, even if we follow best practices in setting up and configuring our system, we can never eliminate all the vulnerabilities.

This tutorial will show you how can Coralogix provide analytics and insights for the Fastly logs you ship to Coralogix, both performance, and security.

Apache Solr was always ready to be extended. What was only needed is a binary with the code and the modification of the Solr configuration file, the solrconfig.xml and we were ready. It was even simpler with the Solr APIs that allowed us to create various configuration elements – for example, request handlers. What’s more, the default Solr distribution came with a few plugins already – for example, the Data Import Handler or Learning to Rank.

A large number of security breaches are impacting industry verticals, including banking, financial services and insurance (BFSI), telecom, and hospitality, so there's a growing need for organizations to fortify their infrastructure against these threats. For example, by the time T-Mobile identified the intrusion and unauthorized access to its sensitive data in 2019, both its customer and employee details were already stolen by hackers.

In the modern digital ecosystem, every user activity, system error, application transaction, and network packet movement can be tracked using logs. This level of visibility into systems, networks, and applications is useful for troubleshooting bottlenecks, analyzing past trends, and predicting future events. However, monitoring various cloud-based and on-premises resources becomes complex in the absence of proper log aggregation tools.

We hope everyone is staying safe and healthy and taking advantage of the added time at home to spend ample time with your families, picking up new hobbies, workout routines, and staying active! We are in unprecedented times, and as you look around, we are all having to change our ways and adjust to the new normal in our personal and professional lives.

As we connect with customers we increasingly hear the need for teams to be more predictive with their data. A big challenge is uncertainty around how to get started, especially when much of their data is unstructured. At Splunk, our goal is to make data — and machine learning — accessible for a broad range of users. The good news is, with machine learning doing even more work on your behalf, you don’t need to be a data scientist to use these advanced capabilities.