Operations | Monitoring | ITSM | DevOps | Cloud

More and more employers are looking for people experienced in building and running Kubernetes-based systems, so it’s a great time to start learning how to take advantage of the new technology. Elasticsearch consists of multiple nodes working together, and Kubernetes can automate the process of creating these nodes and taking care of the infrastructure for us, so running ELK on Kubernetes can be a good options in many scenarios.

Kubernetes monitoring can be complex. To do it successfully requires several components to be monitored simultaneously. First, it’s important to understand what those components are, which metrics should be monitored and what tools are available to do so. In this post, we’ll take a close look at everything you need to know to get started with monitoring your Kubernetes-based system.

In July, we rolled out SolarWinds® Papertrail™ support for SAML v2.0. SAML authentication allows you to log into your Active Directory® domain or intranet and have immediate access to Papertrail, with no additional login required. Today we’re extending Papertrail SAML 2.0 support to include group mapping. Group mapping allows you to define organization and product roles, and grant access to logs and billings plans, by adding an account to an identify provider group.

DigitalOcean droplets provide low-cost scale from a popular server provider. With DigitalOcean Monitoring, you can collect metrics for visibility, monitor Droplet performance, and receive alerts when problems arise in your infrastructure. But when you need to deep dive into your application to debug an issue, resolve an incident, or identify opportunities to improve your platform, you need a deep understanding of the underlying operating system and how it interacts within its environment.

Distributed tracing allows you to track the execution of your user's transactions by following them between applications’ microservices. It provides easy to understand visualizations of transactional lifespan with the ability to pinpoint any slowdowns and errors in response to microservices. During my presentation at Illuminate, I shared that we extended the Sumo Logic platform to cover application performance use cases.

What are logs? In computing, when generally speaking of “log”, we refer to information belonging to a more or less low level reported by the operating system or a specific application that helps identify what is being done, including errors, problems or minor warnings, and when that happens, it indicates the date and time. In some cases, the source, the user, the IP address and other interesting fields from the point of view of what has happened can be identified.

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.

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.