When EC2 instances fail to serve requests the usual cause is typically hardware issues or high CPU utilization. To avoid sending traffic to instances with these issues, AWS continuously monitors instance health and routes inbound traffic accordingly. In the past Elastigroup fetched the health status for all managed instances and triggered an automatic replacement once an instance was determined as unhealthy.
After working with hundreds of customers over the last few years, we know one thing for sure at Spot by NetApp—when applications have infrastructure that is automatically optimized to meet their needs, they can scale and thrive in the cloud.
The widespread adoption of Kubernetes has made it table stakes for the modern cloud native stack. Software is now being purpose-built for Kubernetes, and as companies enter this new phase of their cloud journey, they are looking to scale this cloud native, Kubernetes-first model. Building upon years of experience with Kubernetes, Spot by NetApp is continuously innovating to bring new ways to help customers achieve this goal.
Repetition is super helpful when learning something new. But eventually we get tired of repetitive tasks, errors start creeping in and the tedium saps us of the creative energy we need to innovate and problem-solve. This is why here at Spot by NetApp we love AWS CloudFormation. It decreases errors, frees teams to focus on their core tasks and when used with our products, helps to dramatically optimize cloud infrastructure cost and utilization.
Amazon’s Elastic Map Reduce or EMR, makes it easy to set up, operate and scale big data environments. This enables data scientists and developers to rapidly analyze massive amounts of structured and unstructured data. Combined with Spot by NetApp’s Elastigroup, data scientists can reliably run EMR core and task nodes on highly affordable EC2 spot instances.
In modern cloud architecture applications are broken down into independent building blocks usually as microservices. These microservices allow teams to be more agile and deploy faster. Microservices form distributed systems in which communication between them is critical in order to create the unified system. A good practice for such communication is to implement an event-driven architecture.
Spot by NetApp’s Ocean continuously optimizes Kubernetes clusters with a wide feature set tackling different aspects of running and managing Kubernetes containers in a cloud environment. To help users improve the efficiency and performance of their cloud environments, Ocean’s rightsizing capabilities provide recommendations that target over-provisioning and underutilization.
Spark is one of the most widely-used compute tools for big data analytics. It excels at real-time batch and stream processing, and powers machine learning, AI, NLP and data analysis applications. Thanks to its in-memory processing capabilities, Spark has risen in popularity. As Spark usage increases, the older Hadoop stack is on the decline with its various limitations that make it harder for data teams to realize business outcomes.
Whether you are new to AWS or have been to every re:Invent since 2012 you may have questions about cloud security and how it impacts your valuable technology and data. In particular, you might be wondering where AWS’s security responsibilities end and where yours begin? Which parts of the cloud can you rely on Amazon’s security team and technology to keep safe and which parts must you take care of?
Cloud MSPs or managed service providers are great at helping companies properly leverage the public cloud, typically handling cloud strategy, implementation and day-to-day operations for their customers. However, when it comes to things like customizable billing, analyzing cloud spend per customer, optimizing cost and increasing profit margins, MSPs are over-burdened with complex, manual processes.
