Operations | Monitoring | ITSM | DevOps | Cloud

Logging is a critical component of your cloud infrastructure and provides valuable insight into the performance of your systems and applications. On Google Cloud, Cloud Logging is a service that allows you to store, search, monitor, and alert on log data and events from your Google Cloud Platform (GCP) infrastructure services and your applications. You can view and analyze log data in real time via Logs Viewer, command line or Cloud SDK.

Managing a complex microservice-based architecture requires defending multiple endpoints. Automating security covers a vast amount of tools and methodologies, so making sure they all communicate is critical. Additionally, tool sprawl in any aspect of DevOps requires putting automation to good use. The Logz.io Cloud SIEM focuses on identifying threats. To optimize its effectiveness, we have negotiated and built out multiple integrations tying complementary tools together.

If you’ve worked with Elastic Support, you may have been asked to run the Support Diagnostic tool and provide the output in your support case. This is a common practice, but a lot of you out there may not know why. While the short answer is "it depends", this blog is going to explain why we keep asking for diagnostic files (as well as what’s in them). Simply put, the Support Diagnostic helps Elastic Support understand the state of your cluster.

Since we launched Splunk Remote Work Insights (RWI) in late March, we have been focused on helping our customers and the community understand how their workforce is staying connected, productive and engaged as we all continue to work across largely distributed teams.

With the rising needs associated with COVID-19, the challenges of the commercial drug supply chain is more evident than ever. This article features an innovative and progressive technology that uses blockchain to solve the ongoing problem with the drug distribution chain.

Kubernetes has emerged the de facto container orchestration technology, and an integral technology in the cloud native movement. Cloud native brings speed, elasticity, and agility to software development, but also increases the complexity — with hundreds of microservices on thousands (or millions) of containers, running in ephemeral and disposable pods. Monitoring such a complex, distributed, transient system is challenging, and at the same time very critical.