Operations | Monitoring | ITSM | DevOps | Cloud

Google Cloud has been gaining some noticeable traction in recent months: 43% growth in Q2 is nothing to sniff about, especially during a global recession. Masaf Dawood is director of Google Cloud services with SpringML, a premier Google Cloud partner with specialties in application development, data analytics, machine learning and marketing analytics. SpringML works exclusively with Google Cloud and has worked on 200 engagements with Google since the consultancy was founded in 2015.

If you’ve deployed an application or service to the Amazon Web Service (AWS) cloud, you’ve probably made use of an EC2 instance. One of the decisions that you had to make before you could start a new instance, was which instance type to use. Choosing an EC2 instance type can be a complicated process. AWS organizes their instance types into instance families, and within an instance family, there are varying sizes from micro to 32xlarge.

Deploying a stack into AWS is at the core of what Stackery helps you do. So much so that Stackery users deployed over 10,000 times last month! For the most part, this has been a manually executed process in our Web UI or command-line client. As teams grow and take on more work, fast and consistent deployments are key to scaling effectively. That’s why we’ve been working this year on continuous integration and deployment (CI/CD) features, tailor-built for serverless applications.

Today, AWS launched Amazon Timestream, a fast, scalable, serverless time series database purpose-built for IoT use cases. If you’re looking into trying out Timestream, know that you can visualize the native Timestream queries with Grafana out of the box. Here are some examples of the robust, SQL-style Timestream queries visualized in Grafana.

On Monday, September 28th 2020, Microsoft had a failure with their authentication system that affected major products and services such as Office 365, Outlook, Teams, Sharepoint, Azure and many others. The Microsoft login failure affected consumer and business users that were not already authenticated with the Azure Active Directory (Azure AD) service. Microsoft confirmed the outage on their Azure Status Dashboard website.

In previous articles we talked about the need to move forward to cloud technology, as well as about the incorporation of the monitoring of this technology, describing this need with Microsoft Azure tool. Now we are going to describe the Amazon AWS tool, its differences regarding Microsoft Azure and we will delve into monitoring AWS with Pandora FMS.

In Cloud Logging, we understand that logging is a critical part of what it takes for you to operate reliable applications and infrastructure on Google Cloud. We’ve added new features to help you more easily store, find and control your logs. Today, we’re announcing a new default logging experience: Logs Explorer. Previously known as Logs Viewer Preview, Logs Explorer provides new tools for you to better understand and analyze your logs during the troubleshooting process.

We are excited to announce a new partnership with Microsoft Azure, which has enabled us to build streamlined experiences for purchasing, configuring, and managing Datadog directly inside the Azure portal. This first-of-its-kind integration of a third-party service into a public cloud provider reduces the learning curve for using Datadog to monitor the health and performance of your applications in Azure—and sets you up for a successful cloud migration or modernization.