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By Reza Ramezanpour
Kubernetes is known for its modularity, and its integration with cloud environments. Throughout its history, Kubernetes provided in-tree cloud provider integrations with most providers, allowing us to create cloud-related resources via API calls without requiring us to jump through hoops to deploy a cluster that utilizes the power of underlying networking infrastructure. However, this behavior will change with the release of Kubernetes v1.31, and right now is the best time to plan for it.
How to Derive Value from GenAI Application Development & Deployment Without Compromising on Security
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By Ratan Tipirneni
The Generative Artificial Intelligence (GenAI) innovations and advancements over the past 1.5 years have been unmatched. Gartner predicts that by 2026, more than 80% of enterprises will have deployed GenAI-enabled applications in production environments and/or used GenAI application programming interfaces or models. This is up from less than 5% in 2023.
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By Phil DiCorpo
Service mesh is a tool for adding observability, security, and traffic management capabilities at the application layer. A service mesh is intended to help developers and site reliability engineers (SREs) with service-to-service communication within Kubernetes clusters. The challenges involved in deploying and managing microservices led to the creation of the service mesh, but service mesh solutions themselves introduce complexities and challenges.
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By Rui De Abreu
When enterprises transition to a microservices model, they often need to migrate their legacy applications to the new infrastructure. One popular framework used for these traditional applications is.Net. Due to migration, enterprises require the ability to run Windows containers in their Kubernetes infrastructure.
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By Reza Ramezanpour
workloads from remote clusters As Kubernetes continues to gain traction in the cloud-native ecosystem, the need for robust, scalable, and highly available cluster deployments has become more noticeable. While a Kubernetes cluster can easily expand via additional nodes, the downside of such an approach is that you might have to spend a lot of time troubleshooting the underlying networking or managing and updating resources between clusters.
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By Dhiraj Sehgal
In the rapidly evolving landscape of IT infrastructure, enterprises are increasingly moving away from traditional virtualization platforms due to rising licensing costs and the limitations these older systems impose on modern cloud-native application needs. The shift towards Kubernetes, which can manage diverse workloads such as containers, virtual machines (VMs), and bare metal environments, accelerates the migration from traditional virtualization platforms.
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By Kartik Bharath
A common challenge with multi-cluster connectivity is that networking solutions have a prerequisite of pod-to-pod connectivity enabled between the clusters that are to be meshed. This typically requires the user to take care of the underlying network infrastructure in terms of routing.
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By Reza Ramezanpour
Kubernetes is used everywhere, from test environments to the most critical production foundations that we use daily, making it undoubtedly a de facto in cloud computing. While this is great news for everyone who works with, administers, and expands Kubernetes, the downside is that it makes Kubernetes a favorable target for malicious actors. Malicious actors typically exploit flaws in the system to gain access to a portion of the environment.
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By Reza Ramezanpour
System observability is an essential part of identifying performance issues within your environment because it provides a comprehensive view of how your systems are operating at a glance. Typically, observability is achieved through the collection and analysis of metrics. These metrics, generated by your applications, are deliberately incorporated by developers into the source code to offer insights into the application’s internal processes.
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By Dhiraj Sehgal
For DevOps and platform teams working with containers and Kubernetes, reducing downtime and improving security posture is crucial. A clear understanding of network topology, service interactions, and workload dependencies is required in cloud-native applications. This is essential for securing and optimizing the Kubernetes deployment and minimizing response time in the event of failure.
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By Tigera
Tigera provides the industry’s only active Cloud-Native Application Protection Platform (CNAPP) with full-stack observability for containers, Kubernetes, and cloud. Calico prevents, detects, troubleshoots, and automatically mitigates exposure risks of security issues in build, deploy, and runtime stages across multi-cluster, multi-cloud, and hybrid deployments. Calico works with popular managed Kubernetes services such as AKS, EKS, and GKE, as well as self-managed Kubernetes distributions including Red Hat OpenShift, SUSE/Rancher, VMware Tanzu, and Mirantis.
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By Tigera
Security as an afterthought is no longer an option and must be deeply embedded in the design and implementation of the products that will be running in the cloud. It is increasingly more critical for many security teams to be almost, if not equally, knowledgeable of the emerging and rapidly evolving technology. Join Manish Sampat from Tigera, as explores the topic in detail with Stan Lee from Paypal.
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By Tigera
Security is critical for your Kubernetes-based applications. Join this session to learn about the security features and best practices for safeguarding your Kubernetes environments.
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By Tigera
Compliance automation is a commonly overlooked area of Kubernetes observability. The question is: how do you automate compliance to a security framework that isn’t well understood by DevSecOps teams to begin with? This lack of understanding contributes to mismanaged compliance efforts and in a worst-case scenario, audit exposures and organizational risk. This talk will walk through an example of how to 1) map compliance controls to specific Kubernetes technical configuration 2) automate the assessment of those controls 3) visualize the assessment results. DevSecOps teams will better understand how to incorporate compliance automation alongside security automation.
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By Tigera
"Companies of various sizes are building their applications on Kubernetes because it provides significant operational benefits like autoscaling, self-healing, extensibility, and declarative deployment style. However, the operational benefits are only a starting point down the path of building a secure and observable platform that enables the continuous delivery of application workloads. This session shows how to build a fully operational platform, leveraging platform-oriented building blocks to address network security and observability.
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By Tigera
As more production workloads migrated to the cloud, the need for Intrusion Detection Systems(IDS) grew to meet compliance and security needs. With the number of workloads in each cluster, IDS needs to be efficient to not take up the shared resources. Techniques such as packet inspection and web application firewalls provide a solid defense against threats and by leveraging the cluster's network control pane, we are able to selectively choose vulnerable workloads and provide an easy way to trace back to the origin of the attack.
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By Tigera
Congratulations! You’re now cloud-native with microservices. No more legacy monoliths. However, troubleshooting takes time, debugging is difficult, and security is scary. How can you scale your organization without losing an understanding of your environment? Services mesh is here to help! It gives you the observability of connected services and is easier to adopt than you might think. Come and learn service mesh concepts, best practices, and key challenges.
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By Tigera
Early adoption of Kubernetes came with its set of challenges for Box, that led to innovative solutions & learnings. In this session, the speaker will take you through some of those solutions around Kubernetes Observability & best practices which will make your Kubernetes journey easier.
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By Tigera
Technologies come, and technologies go. Sadly, we're not all riding Segways to work! Calico was designed with change in mind and is adaptable, supporting different data plane technologies with different goals. In this talk, we'll cover.
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By Tigera
Calico/VPP data plane renderer was introduced as Tech Preview in Calico 3.19 for Kubernetes. It leverages the FD.io/VPP userspace data plane which brings great benefits in terms of performance and flexibility for large-scale Kubernetes clusters. Thanks to its fast IPSec & Wireguard implementation, it makes it possible to provide intra-cluster full mesh crypto without compromising performance. Beyond performance, it implements differentiated features like MagLev based load balancing with DSR for k8s services making it a good choice for large-scale applications having strong high availability requirements. This is the first release but moving forward, it will provide support for superfast packet-oriented virtual interfaces as well TCP/UDP/Quic stack to applications having extreme networking performance.
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By Tigera
Through practical guidance and best practice recommendations, this book will help you understand why cloud-native applications require a modern approach to security and observability practices, and how to adopt a holistic security and observability strategy for building and securing cloud-native applications running on Kubernetes.
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By Tigera
A step-by-step eBook covering everything you need to know to confidently approach Kubernetes networking, starting with basic networking concepts, all the way through to advanced Kubernetes networking with eBPF.
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By Tigera
This whitepaper explains five best practices to help meet network security and compliance requirements for modern microservices stack.
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By Tigera
Discover how Tigera can help you achieve a scalable, secure, and compliant approach to containers on AWS.
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By Tigera
This guide contains detailed technical instructions on how to install and configure network security on Kubernetes platforms.
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By Tigera
Tigera commission an unbiased, third-party research firm to speak with enterprise security professionals to understand the state of network security with modern applications.
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By Tigera
OpenShift provides a declarative, automated platform to integrate developer workflows into application deployments leveraging open source building blocks such as Kubernetes.
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By Tigera
Applying a uniform policy framework allows enterprises to achieve consistent network policy across multiple container orchestrators.
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By Tigera
Using simplicity to deliver the performance, stability, and manageability for application connectivity at scale in cloud native platforms such as Kubernetes.
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Kubernetes is being adopted by every major enterprise on the planet for deploying modern, containerized applications. However, containers are highly dynamic and break their existing security models. Tigera provides zero-trust network security and continuous compliance for Kubernetes platforms that enables enterprises to meet their security and compliance requirements.
Tigera’s technology is recognized and trusted as the de facto standard for Kubernetes network security. Our open source software, Tigera Calico, provides production-grade security, and our commercial offerings layer on advanced security capabilities, enterprise controls, and compliance reporting.
Kubernetes Requires a Modern Approach to Security and Compliance:
- Zero-Trust Network Security: With 40% or more of all breaches originating from within the network, you must always have to assume that something has been compromised. Applications running on Kubernetes make heavy use of the network for service to service communication. However, most clusters have been left wide open and are vulnerable to attack. A zero trust approach is the most secure way to lock down your Kubernetes platform.
- Continuous Compliance: Kubernetes is dynamic and constantly changing. Moments after a compliance audit is completed the environment will have changed again. A continuous compliance solution is the only way to prove that your security controls have been implemented properly now and historically.
- Visibility and Traceability: Applications running on Kubernetes Platforms have constantly changing IP addresses and locations that makes it impossible to use traditional flow logs to debug issues and investigate anomalous activity. The only accurate approach is to use Kubernetes labels and workload identity in your netflow logs.
- Multi-cloud and Legacy: Many applications running on Kubernetes will not be greenfield. Applications often need to communicate securely with other systems outside of the cluster, such as on-premises or cloud-based VMs, bare metal servers and databases. To achieve zero trust security for Kubernetes, your security policies must be capable of expanding beyond the cluster.
Zero Trust Network Security and Continuous Compliance for Kubernetes Platforms.