The first public beta of its open source SD-WAN platform was released alongside the announcement of...
Starting this week, we will do a series of four blogposts on the intersection of Spark with Kubernetes. The first blog post will delve into the reasons why both platforms should be integrated. The second will deep-dive into Spark/K8s integration. The third will discuss usecases for Serverless and Big Data Analytics. The last post will round off with insights on best practices.
Most Cloud Native Architectures are designed in response to Digital Business initiatives – where it is important to personalize and to track minute customer interactions. The main components of a Cloud Native Platform inevitably leverage a microservices based design. At the same time, Big Data architectures based on Apache Spark have been implemented at 1000s of enterprises and support multiple data ingest capabilities whether real-time, streaming, interactive SQL platform while performing any kind of data processing (batch, analytical, in memory & graph, based) at the same time providing search, messaging & governance capabilities.
The RDBMS has been a fixture of the monolithic application architecture. Cloud Native applications, however, need to work with data formats of the loosely structured kind as well as the regularly structured data. This implies the need to support data streams that are Continue reading
The topic of testing in continuous integration pipelines, is something we at Cumulus discuss almost daily, whether it’s internally or with customers. While our approach mainly centers around doing this type of testing in a virtual simulated environment, the moment I heard about a project called Batfish taking a different approach to testing, it had my attention. Better yet, once Batfish announced initial support for Cumulus earlier this year, there were no excuses left to not start digging in and understanding how it can fit into pipelines and replace or complement existing testing strategies.
While there are various testing frameworks out there that help in building and organizing an approach to testing changes, the ugly truth is that the majority of this process occurs after a change has actually been pushed to a device. Techniques like linting provide some level of aid in the mostly empty pre-change testing area, but the control and data plane validation checks are forced to occur after a change has been pushed, when its generally “too late”. Even though there’s no argument that some testing is better than none, the pre-change test area is desperate for any type of visibility Continue reading
On today's Tech Bytes podcast, sponsored by Silver Peak, we talk with a healthcare provider about how the organization uses Silver Peak's Unity Edge Connect SD-WAN to securely segment and prioritize electronic medical records traffic and enforce QoS on other essential applications.
The post Tech Bytes: Healthcare Provider Cures Performance, Security Ills With Silver Peak SD-WAN (Sponsored) appeared first on Packet Pushers.
Take a Network Break! VMware buys Bitfusion for GPU virtualization, Arrcus takes in a $30 million Series B round to grow its network OS business, Kentik announces AIOps to provide more insight for IT operations, the SD-WAN market races toward $5 billion by 2023, and more tech news. Guests Ethan Banks and Phil Gervasi stop by for virtual muffins and commentary.
The post Network Break 245: VMware Buys Bitfusion for GPU Virtualization; Arrcus Scores $30 Million appeared first on Packet Pushers.