Amazon Redshift is a cloud-based data warehousing solution that makes it easy to collect and analyze large quantities of data within the cloud. Cloud data warehouse services like Redshift can remove some of the performance and availability pain-points associated with on-premises data warehousing, but they are not a silver bullet. Getting the most out of Redshift requires carefully monitoring Redshift clusters in order to identify stability issues and performance bottlenecks.

Anyone who has ever had to administer IBM Spectrum Protect™ (formerly Tivoli Storage Manager or TSM) knows that eventually, you’ll end up parsing the activity log for advanced problem determination or running advanced queries on the summary table for extended reporting. This is a huge pain! With the latest enhancements to Galileo for Spectrum Protect, you need not go elsewhere for answers.

LogQL, the Loki query language, is heavily inspired by Prometheus PromQL. However, when it comes to filtering logs and finding the needle in the haystack, the query language is very specific to Loki. In this article we’ll give you all the tips to create fast filter queries that can filter terabytes of data in seconds. In Loki there are three types of filters that you can use.

When approached by stakeholders in their organization, few security teams can confidently demonstrate that logging and alerting capabilities are working as expected. Organizations have become more distributed and reliant on cloud offerings for use cases such as identity and access management, user productivity, and file storage. Meanwhile, adversaries have extended their operational capabilities in cloud environments.

Monitoring and analytics have been an issue for Serverless systems since they were invented. While it’s easy to attach an agent like NewRelic or DataDog to a server or container, function monitoring requires a different approach. Serverless applications, where logic is distributed over a large number of functions, attaching agents or wrappers leads to cost increase and development overhead.

SIEM has traditionally earned itself a bad reputation as an unwieldy and unmanageable tool that really never lived up to its promises. In my presentation during Illuminate, I talked about what Sumo Logic is doing to modernize log analytics and SIEM as a whole. Today, we see that despite how overall technology is accelerating, security always seems to lag behind. In Sumo Logic, we address this head-on.

The ability to access the internal state of your application ecosystem is critical to optimizing your applications and the experience of your users. Elastic Cloud on Microsoft Azure gives you access to Elastic Observability, allowing you to monitor your infrastructure and see how every signal interrelates by utilizing a wide variety of resources that can be deployed in minutes.

If you’re reading this, you have probably been convinced that taking on Kotlin for your mobile application is the most sensible choice. Now that you’ve come to this decision, it’s imperative to know what you need to do to stay on top of your monitoring and logging. Like with any application or system, they are essential, cornerstone qualities of any successful project.

When we look at information, numbers, percentages, statistics, we tend to have an easier time understanding and interpreting them if they’re also represented by corresponding visual cues. Kibana Canvas is a tool that helps us present our Elasticsearch data with infographic-like dashboards – fully visual, dynamic, and live.