We are excited to announce a strategic partnership with Google Cloud to bring real-time observability into Google Cloud Services and modern applications for our joint customers. Cloud has become essential to modernizing IT environments and enabling the digital initiatives of organizations large and small. Organizations undertake IT modernization – including cloud adoption – to accelerate innovation and increase operational efficiency while optimizing IT spend.

Welcome to the second installment of the Dashboards Beta blog series! I’m your host, Aditya Tammana, and today we have a very special guest – v0.5 of the Dashboards Beta app on Splunkbase!

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.

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.

On the internet, nothing necessarily stays easy, simple, and reliable forever – but we’re trying to keep it that way for your logs. When our customers use Kubernetes, they want to remain focused on the real challenges of scaling, and avoid infrastructure headaches, so that they can adapt to the unexpected easily and with a minimum of toil. That’s why we continue to invest in the LogDNA Agent. It’s built to handle file logging in even the most intensive Kubernetes deployments.

LogDNA is adding the ability to store and view raw lines, allowing customers to debug with logs in their unaltered form. If you’ve ever looked at your logs and noticed that the timestamp was different than what you expected, it is usually due to a long latency between the event and processing time of the logs. Depending on the size of the latency, we may update the log timestamp to order them accurately and to provide a cleaner and more intuitive search experience.