Operations | Monitoring | ITSM | DevOps | Cloud

Bus Factor is a measure of risk to a project or organization due to the loss of key personnel. For software engineering teams, a low bus factor (meaning only a few people hold critical knowledge or skills) can lead to complications that result in product failures.

The evolution of generative AI is beginning to rapidly transform the way that we work and communicate. This is only set to increase as generative AI excels in providing business value by driving innovation and making intelligent decisions at unprecedented speeds. However, to fully harness its potential, organisations must ensure that they deploy this revolutionary technology safely, securely and responsibly with the right network connectivity.

Widespread adoption of containerized infrastructure has been closely followed by an explosion of container-native tools for each layer of the stack, including new solutions for managing CI/CD pipelines in container-based environments, such as the Argo suite, FluxCD, and Tekton. This is because these lightweight solutions make it easier to automate builds, testing, deployments, and more on Kubernetes, as well as other platforms that manage containerized workloads and services.

Most organizations migrate to the Amazon Web Services (AWS) public cloud from on-premises data centers. However, others have switched from another Infrastructure-as-a-Service (IaaS) platform to AWS. The most common reason we hear for choosing AWS is cost savings. As the largest public cloud provider, AWS leverages economies of scale, making its cloud services more affordable than those a company would have to build itself. Yet, not every organization can claim that AWS has saved it money.

Arguably the most important part of an on-call product is knowing that you will be notified when things break, wherever you are. When it comes to SMS and phone call notifications, we have to leave the familiar realm of the internet and JSON responses, and deal with systems that provide limited observability and insight into what’s gone wrong.

API testing is a vital part of the development lifecycle. In this comparison piece, you’ll compare Speedscale and Hypertest and show where they stand in terms of API testing.

Businesses are increasingly interested in cloud economics. For instance, what are the financial implications of moving to the cloud versus staying on-premises? And what’s the best strategy for optimizing cloud consumption to get the best value from cloud resources? In this guide, we’ll look at some of the key concepts of economics in cloud computing, and how your business can leverage cloud cost intelligence to maximize the value of your cloud investment.

When planning a migration from Heroku to AWS, it’s essential to grasp the complexities inherent in transitioning from a managed Platform as a Service (PaaS) like Heroku to the intricacies of Infrastructure as a Service (IaaS) provided by AWS. This shift demands not just an adaptation to a different architectural framework but also a strategic approach to overcome operational and technical challenges that can significantly affect both performance and cost efficiency.

Apache Spark, a framework for parallel distributed data processing, has become a popular choice for building streaming applications, data lake houses and big data extract-transform-load data processing (ETL). It is horizontally scalable, fault-tolerant, and performs well at high scale.