Operations | Monitoring | ITSM | DevOps | Cloud

Splunk Cloud Architect Paul Davies recently authored and released the GCP Application Template, a blueprint of visualizations, reports, and searches focused on Google Cloud use cases. Many of the reports included in his application require Google Cloud asset inventory data to be periodically generated and sent into Splunk. But HOW exactly do you craft that inventory generation pipeline so you can "light-up" Paul's application dashboards and reports?

In this post we will discuss some key considerations and strategies to monitor your AWS Lambda functions. This will include: which Lambda metrics you’ll want to monitor, how to collect AWS Lambda metrics with Prometheus and Logz.io, how to create a monitoring dashboard with alerts, and how to search and visualize your metrics.

Are you looking for solutions to deliver rapid application development and iterations? You’re not alone. To accomplish this, many organizations are embracing cloud native containers across multiple cloud providers. The reason? This strategy reduces the risk of vendor lock-in, and helps you scale the application infrastructure horizontally.

A deep dive into boto3 and how AWS built it. AWS defines boto3 as a Python Software Development Kit to create, configure, and manage AWS services. In this article, we’ll look at how boto3 works and how it can help us interact with various AWS services.

A cloud platform can be described as a storage place that is highly accessible, flexible, scalable and agile in all its characteristics. Users from anywhere via the internet can access their data, collaborate, share, and work together in real-time with the cloud, which means anything less than a cloud platform cannot be possible to comprehend today. The substantial dominance of cloud platforms is their authenticity and usability.

When we launched Qovery in January 2020, our product was only supporting app deployment on Amazon Web Services (AWS). 20 months later, 5534 developers from more than 120 countries use Qovery to deploy their apps on AWS and Digital Ocean. Today, more and more European companies would love to benefits from the excellent user experience of Qovery on a European cloud service provider 🇪🇺.

It has been off to the races for the Sumo Logic and AWS teams since the general availability of the Sumo Logic Cloud SIEM powered by AWS solution on June 1, 2021. We are excited for the overwhelming response from customers from across all segments, industries and geographies.

More and more cloud providers are emerging and spreading their business across different regions in the current times. As a result, customers want to reduce their IT workload and migrate their product or application to a cloud-based environment. The primary reason behind this is that the cloud heavily reduces the overheads of investing in IT infrastructure, hardware upgrades, maintenance, etc.

Being alerted to an issue with your application before your customers experience undue interruption is a goal of every development and operations team. While methods for identifying problems exist in many forms, including uptime checks and application tracing, alerts on logs is a prominent method for issue detection. Previously, Cloud Logging only supported alerts on error logs and log-based metrics, but that was not robust enough for most application teams.