5 Essential Kubernetes Deployment Strategies for Optimal Performance Kubernetes is entirely designed for large-scale deployments, allowing engineers to orchestrate containerized applications across clusters of machines, automatically handling the management, scaling, and operations of these deployments. Deployment strategies in Kubernetes encompass the methods and practices used to update applications running in a Kubernetes environment. These strategies play a crucial role in application lifecycle management, directly influencing application availability, service continuity, and the capacity to adapt to new requirements.
Blog
The latest posts and insights about Ambassador Labs - our products, our ecosystem, as well as voices from across our community.
Efficient Multi Cloud Networking Solutions
In the modern cloud era, as businesses and organizations use multiple cloud resources, which entails private and public cloud services and their providers such as Amazon web services, Google cloud platforms, etc, their compute needs expand across private cloud, public cloud, colocation, and software as a service (SaaS) /platform as a service (PaaS). They also have needs for disaster recovery and contingency plans (for small or medium businesses), etc. Multi cloud networking is the answer to these needs, and it also arises as a way to deal with the connectivity challenges. It creates a secure mesh by manifesting as a multi cloud middleware that simplifies operating across multiple environments and locations. By utilizing multiple cloud services and networking, businesses can enjoy a host of benefits, including increased agility, improved efficiency, and enhanced disaster recovery. This article is a comprehensive study about multi cloud networking and the essential details you need to know.
Kubernetes Security Tools, The Risks, and Best Practices
Kubernetes has become the dominant orchestration platform for deploying containerized applications due to its powerful capabilities for automation, scaling, and management of container workloads. However, the dynamic nature of Kubernetes environments also introduces unique security risks that require specific defensive strategies and tools. As more organizations adopt Kubernetes for mission-critical deployments, properly safeguarding the infrastructure and workloads running within it becomes crucial. Securing Kubernetes is a nuanced topic, given its modular architecture and shifting topology. Care must be taken to implement security in a way that does not inhibit the agility and velocity benefits Kubernetes offers. With the right set of tools and practices, you can strike the right balance between security and productivity within your Kubernetes infrastructure. This Kubernetes security tools article aims to explore practical methods for protecting containers and clusters without compromising the key benefits of Kubernetes test environment. Main Security Risks and Challenges
A Guide to API Security Testing
In January, when X was still Twitter, they disclosed that an API vulnerability had led to the leak of “235 million unique records of Twitter users, complete with their email addresses and phone numbers.” That is a lot of data about a lot of people and confirms a growing fear within tech—APIs are under threat. APIs are prime attack surfaces, presenting numerous opportunities for exploitation if not adequately secured. This incident underscores the criticality of vigilant API security practices in an era where data breaches can have far-reaching consequences. By their very nature, APIs offer gateways to sensitive information and systems functionalities, making them attractive targets for bad actors. Therefore, effective API security testing and management are not just technical requirements but fundamental aspects of risk management and data protection strategies in any technology-driven organization.
Breaking Through the Buzz of "Platform Engineering" with Michael Levan
On the latest Livin' On the Edge podcast episode, I interviewed industry expert Michael Levan, and broke downthe nuances of platform engineering. We sifted through what's just buzz and what's actually relevant to those of us working in in the developer world. Here's what you need to focus on to get the multifaceted world of platform engineering right in your organization.
7 REST API Best Practices for Designing Robust APIs
REST which stands for Representational State Transfer is an architectural style that governs how APIs are designed and built. REST’s popularity and ease of implementation make it the most preferred API architectural style for modern-day software development as compared to other protocols such as SOAP (simple object access protocol). REST APIs or RESTful web services have become the backbone for efficient communication between client and server in modern-day software development. However, to build efficient and robust REST APIs, it is crucial to follow some standard best practices. In this blog, we’ll explore REST API best practices that can help you build scalable, maintainable, secure, and robust APIs.