Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Squadcast shines bright this summer, securing an impressive 38 badges across 95 reports, showcasing our IT Alerting and Incident Management leadership.

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.

With automation pervading the networking world in recent years, APIs have become standard for software and IT specialists. While the jury is out on the exact number of public APIs offered today, all estimates point to their massive (and ever-growing) popularity. Megaport is one of the many thousands of vendors that provides public API access to all our services, enabling our customers to automate and streamline their deployments.

Efficient monitoring tools are crucial for maintaining the performance, security, and reliability of your infrastructure. This comprehensive guide covers the top 10 best monitoring tools for IT infrastructure, offering insights into their features, benefits, and use cases. We'll also provide a monitoring tools list and examples to help you choose the best solutions for your needs.