By 2025, Gartner estimates that over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021. This momentum of these workloads and solutions presents a significant opportunity for companies that can meet the challenges of the burgeoning industry.
As digitalization continues pushing applications and services to the cloud, many companies discover that traditional security, compliance, and observability approaches do not transfer directly to cloud-native architectures. This is the primary takeaway from Tigera’s recent The State of Cloud-Native Security report. As 75% of companies surveyed are focusing on cloud-native application development, it is imperative that leaders understand the differences, challenges, and opportunities of cloud-native environments to ensure they reap the efficiency, flexibility, and speed that these architectures offer.
The flexibility container workloads provide makes the traditional ‘castle and moat’ approach to security obsolete. Cloud-native architectures do not have a single vulnerable entry point but many potential attack vectors because of the increased attack surface. Sixty-seven percent of companies named security as the top challenge regarding the speed of deployment cycles. Further, 69% of companies identified container-level firewall capabilities, such as intrusion detection and prevention, web application firewall, protection from “Denial of Service” Continue reading

We introduced resource modules in Ansible 2.9, which provided a path for users to ease network management, especially across multiple different product vendors. This announcement was significant because these resource modules added a well structured representation of device configurations and made it easy to manage common network configurations.
At AnsibleFest 2022, we announced a new addition to the content ecosystem offered through the platform: Ansible validated content. Ansible validated content is use cases-focused automation that is packaged as Collections. They contain Ansible plugins, roles and playbooks that you can use as an automation job through Red Hat Ansible Automation Platform.
The Ansible validated content for network base focuses on abstract platform-agnostic network automation and enhances the experience of resource module consumption by providing production-ready content. This network base content acts as the core to the other network validated content, which I will explain more about in the examples below.
The network.base Collection acts as a core for other Ansible validated content, as it provides the platform agnostic role called Resource Manager, which is the platform-agnostic entry point for managing all of the resources supported for a given network OS. It includes the Continue reading


At Cloudflare, we take steps to ensure we are resilient against failure at all levels of our infrastructure. This includes Kafka, which we use for critical workflows such as sending time-sensitive emails and alerts.
We learned a lot about keeping our applications that leverage Kafka healthy, so they can always be operational. Application health checks are notoriously hard to implement: What determines an application as healthy? How can we keep services operational at all times?
These can be implemented in many ways. We’ll talk about an approach that allows us to considerably reduce incidents with unhealthy applications while requiring less manual intervention.
Cloudflare is a big adopter of Kafka. We use Kafka as a way to decouple services due to its asynchronous nature and reliability. It allows different teams to work effectively without creating dependencies on one another. You can also read more about how other teams at Cloudflare use Kafka in this post.
Kafka is used to send and receive messages. Messages represent some kind of event like a credit card payment or details of a new user created in your platform. These messages can be represented in multiple ways: JSON, Protobuf, Avro and so on.
It’s easy to get excited about what seems to be a new technology and conclude that it will forever change the way we do things. For example, I’ve seen claims that SmartNICs (also known as Data Processing Units – DPU) will forever change the network.
TL&DR: Of course they won’t.
Before we start discussing the details, it’s worth remembering what a DPU is: it’s another server with its own CPU, memory, and network interface card (NIC) that happens to have PCI hardware that emulates the host interface cards. It might also have dedicated FPGA or ASICs.
It’s easy to get excited about what seems to be a new technology and conclude that it will forever change the way we do things. For example, I’ve seen claims that SmartNICs (also known as Data Processing Units – DPU) will forever change the network.
TL&DR: Of course they won’t.
Before we start discussing the details, it’s worth remembering what a DPU is: it’s another server with its own CPU, memory, and network interface card (NIC) that happens to have PCI hardware that emulates the host interface cards. It might also have dedicated FPGA or ASICs.
On today's Network Break podcast we cover a raft of Juniper vulnerabilities, whether Cisco should patch serious vulnerabilities in end-of-life products, a big T-Mobile breach, Avaya dealing with significant debt, sweeping rounds of layoffs, and more IT news.
The post Network Break 414: 230 Juniper Vulnerabilities, Should Cisco Patch An EOL Router, T-Mobile Takes Weeks To Spot Breach appeared first on Packet Pushers.
Image: DALL-E
Artificial intelligence (AI) is revolutionizing how we work and play in exciting ways. At first glance, AI tools, such as ChatGPT, seem to provide all the correct answers. But once we delve deeper and implement the suggestions, it often isn’t as effortless as it appears. This is especially true when generating code.
In this blog, we wanted to put ChatGPT to the test and see how it fares with developing Ansible Playbooks and share our results. We’ll also cover the experience and feedback from developers across domains.
We’ll also provide more information on our upcoming automation AI superpower, Project Wisdom.
First, let’s briefly discuss what ChatGPT is and how it works.
“We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”
OpenAI ChatGPT release announcement
ChatGPT is a chatbot developed by OpenAI and built on top of their GPT (Generative Pre-trained Transformer) 3.5 large language model.
Large language models (LLM) are trained on massive amounts of data to predict the next word in a sentence. GPT 3. Continue reading