AWS DynamoDB changed the database game in Serverless and continues to do so, as its design repeatedly proves its huge value. This guide takes you through everything there is to know about DynamoDB so you can rest assured you’re using the service in its best way and reaping all of the benefits.
As Microsoft is forever releasing new functionality within Azure and all its offerings its often hard to keep abreast of the latest changes in technology. To do so, we here at SmiKar Software often follow influential and knowledgeable people that are experts in the their fields, to keep up to date ourselves. In no particular order, here are some of the noteworthy Azure Blogs that we follow.
Cloud Profiler is a favorite of Google Cloud customers thanks to the insight that it provides into the performance of your production code. You can use this knowledge to reduce and shorten outages, improve performance, and optimize compute spend—always a popular topic! Profiler has always provided the ability to view and compare CPU and memory performance over time through time filters and the comparison feature.
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.
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.
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.
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.
As you analyze your logs for application performance, infrastructure errors, system events, and more, sometimes you may need to look back to logs you were previously analyzing to help correlate events and identify the root cause of a problem. To help, we are excited to introduce Google Cloud Logging recent queries, to make it easy to track and run your past searches as you deep dive on your log data.
