Operations | Monitoring | ITSM | DevOps | Cloud

Over the years, containerization has grown in popularity among organizations and will continue to grow. For example, containerization is slowly becoming the de facto approach when it comes to building applications following the microservices architecture. It is undeniable that containerization has a lot of advantages, but these advantages come at a cost.

Over the past several years, I've helped numerous customers migrate SQL Server workloads to Azure SQL, including Azure SQL Database, Azure SQL Managed Instance, and Azure SQL Virtual Machines. In this article, I'll explain some of the challenges of optimizing the compute cost for an Azure SQL Database deployment and review how the serverless compute tier can greatly simplify it.

It takes only a glance at the daily headlines to see that cybercriminals are using increasingly sophisticated methods to breach cloud defenses and access sensitive data. The complexity of cloud frameworks makes it extraordinarily difficult to detect nefarious activities. In many cases, attackers lurk in systems for weeks or months before pulling the trigger.

We’re excited to announce the release of a major update to the Google Cloud Python logging library. v3.0.0 makes it even easier for Python developers to send and read logs from Google Cloud, providing real-time insights into what is happening in your application. If you’re a Python developer working with Google Cloud, now is a great time to try out Cloud Logging! If you're unfamiliar with the `google-cloud-logging` library, getting started is simple.

As cloud use has increased, so have the costs associated with it. In 2020, surveyed organizations reported being over budget for their cloud spend by an average of 23%. Most are spending more than they expected, and to top it off — they don’t feel they’re getting value from that spend.

Kubernetes monitoring involves tracking application performance and resource utilization across cluster components, such as pods, containers, and services. The goal is to gain visibility into the health and security of your clusters. Kubernetes provides built-in features for monitoring, including the resource metrics pipeline that tracks several metrics like node CPU and memory usage and a full metrics pipeline.

The future of financial services technology infrastructure is hybrid multi-cloud. Hybrid multi-cloud architecture provides financial institutions flexibility, portability, interoperability, and the control needed to consistently deploy and manage enterprise applications and workloads. By adopting hybrid cloud, finservs realise the benefits of effective cloud cost management, security, compliance, efficiency and agility. The hybrid cloud strategy starts with choosing the right enterprise Linux.

One of the most notable advantages of the Cloud is the ability to scale resources to meet demand. We then scale out or up when the demand increases, and we scale in or down when the demand decreases. For the record, scaling out / in refers to increasing or decreasing the number of instances of a given resource, whereas scaling up / down refers to increasing or decreasing the capacity (CPU, Ram, Disk, I/O performance) or a given instance.

It's something you know. Those who rely on or offer Software-as-a-Service (SaaS) solutions are under constant pressure to innovate. Often, this means quickly building new features and releasing them more frequently. Staying on budget and on time is also critical for staying competitive. Likewise, SaaS providers should also offer customers cost-effective solutions to their technology challenges. But that’s not all. You must also always release quality code that provides seamless user experiences.