Operations | Monitoring | ITSM | DevOps | Cloud

Containers are one of the most popular ways for businesses to deploy applications. They provide an easy method of packaging applications into self-sufficient units that can be used, moved around, and re-used in any number of ways without breaking the overall functionality of your software. With the possible exception of serverless architecture, containerization is perhaps the best way to achieve smooth, seamless application deployment and minimal hassle with updates and application maintenance.

With Cloud SQL for SQL Server, you can bring your existing SQL Server on-premises workloads to Google Cloud. Cloud SQL takes care of infrastructure, maintenance, and patching so you can focus on your application and users. A great way to take better care of your application is by monitoring the SQL Server error log for issues that may be affecting your users such as deadlocks, job failures, and changes in database health.

Prometheus is considered the de facto standard for Kubernetes application metrics, but running it yourself can strain engineering time and infrastructure resources when your usage grows. In March, we announced the general availability of Google Cloud Managed Service for Prometheus to help you offload that burden, and today, we’re excited to announce a new low-cost, high-usage pricing tier designed for customers who are moving large volumes of Kubernetes metrics over to the service.

Despite all the attention cloud systems and enterprise cloud migrations receive, legacy software still plays an active role throughout enterprises. In many cases, critical business processes supported by legacy applications are just too crucial to core business functionality to risk migration.

Once you have decided to migrate your MySQL database to AWS, choosing the services you need from the lot of options available in AWS can be quite overwhelming. Migrating will inevitably raise the question.

We’re thrilled to announce several new observability features for the Pub/Sub to Splunk Dataflow template to help operators keep a tab on their streaming pipeline performance. Splunk Enterprise and Splunk Cloud customers use the Splunk Dataflow template to reliably export Google Cloud logs for in-depth analytics for security, IT or business use cases.

Embracing the cloud is not just a case of improving infrastructure, experts believe, but also a way to drive transformation. Many of the world’s largest financial exchanges are transforming the way they run global capital markets through the adoption of cloud computing technologies. In November, financial derivatives exchange CME Group entered a 10-year partnership with Google that will move CME’s IT infrastructure and markets to the cloud.

Although both data lakes and data warehouses are commonly used to store large amounts of data, the phrases are not interchangeable. A data lake is not a straight substitute for a data warehouse; rather, they are complementary technologies that serve a variety of use cases, some of which overlap. Most companies that have a data lake also have a data warehouse. The two methods of data storage are sometimes mistaken, yet they are vastly different.

Climate change: it’s one of the most pressing challenges of our time. Yet, while the focus is often on power plant pollution, single-use plastics, deforestation, and fossil fuels, web technologies remain among the biggest, least-visible carbon culprits. Inversely, though, it means that web technologies can be part of the solution.