San Francisco, CA, USA
2016
  |  By Dillon Barry
Here is what nobody putting together the business case for a VM migration to Kubernetes will tell you upfront: the compute is the easy part. Moving workloads off vSphere and onto Kubernetes is conceptually straightforward. The tooling has matured. The architecture is proven. Compute moves, storage remaps, and the platform team has a plan. The network is where projects quietly stall.
  |  By Dillon Barry
Organisations are re-evaluating their VM infrastructure. The economics have shifted, the tooling has matured, and the case for running two separate platforms, one for containers, one for VMs, is getting harder to justify. Platform teams that spent years managing hypervisor infrastructure are being asked to consolidate, and most are landing on the same answer: Kubernetes. KubeVirt makes running VMs on Kubernetes possible.
  |  By Laura Ferguson
Why accountability, not capability, is the real bottleneck for enterprise agentic AI, and what security leaders need to do about it before regulators force the issue. Every enterprise is building AI agents. Marketing has one summarizing campaign performance. Engineering has one triaging incidents. Customer support has one resolving tickets. Finance has one processing invoices.
  |  By Veronika Smolik
Kubernetes adoption is no longer the challenge it once was. More than 82% of enterprises run containers in production, most of them on multiple Kubernetes clusters. Adoption, however, does not mean operational maturity. These are two very different things. It is one thing to deploy workloads to a cluster or two and quite another to do it securely, efficiently and at scale. This distinction matters because the gap between adoption and Kubernetes operational maturity is where risk accumulates.
  |  By Alister Baroi
If you are treating Large Language Models (LLMs) like simple question-and-answer machines, you are leaving their most transformative potential on the table. The industry has officially shifted from zero-shot prompting to structured AI agent design patterns and agentic workflows where AI iteratively reasons, uses external tools, and collaborates to solve complex engineering problems.
  |  By Tigera Team
SAN JOSE, Calif., March 23, 2026 — Tigera, the creator and maintainer of Project Calico, today announced a major expansion of its Unified Network Security Platform for Kubernetes, aimed at helping enterprises consolidate infrastructure and accelerate the migration of legacy workloads to cloud-native platforms.
  |  By Abhishek Rao
VMware vSphere Kubernetes Service (VKS) is the CNCF-certified Kubernetes runtime built directly into VMware Cloud Foundation (VCF), which delivers a single platform for both virtual machines and containers. VKS enables platform engineers to deploy, manage, and scale Kubernetes clusters while leveraging a comprehensive set of cloud services. And with VKS v3.6, that foundation just got significantly more powerful.
  |  By Aadhil Abdul Majeed
Ever had a load balancer become the bottleneck in an on-prem Kubernetes cluster? You are not alone. Traditional hardware load balancers add cost, create coordination overhead, and can make scaling painful. A Kubernetes-native approach can overcome many of those challenges by pushing load balancing into the cluster data plane.
  |  By Aadhil Abdul Majeed
On paper, lift-and-shift VM migration to Kubernetes sounds simple. Compute can be moved. Storage can be remapped. But many migration projects stall at the network boundary. VM workloads are often tied to IP addresses, network segments, firewall rules, and routing models that already exist in the wider environment. That is where lift-and-shift becomes much harder than it first appears.
  |  By Veronika Smolik
Despite the wealth of data available, distilling a coherent narrative from a Kubernetes cluster remains a challenge for modern infrastructure teams. Even with powerful visualization tools like the Policy Board, Service Graph, and specialized dashboards, users often find themselves spending significant time piecing together context across different screens.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  By Tigera
Learn how eBPF will bring a richer picture of what's going on in your cluster, without changing your applications. With eBPF we can safely collect information from deep within your applications, wherever they interact with the kernel. For example, collecting detailed socket statistics to root-cause network issues, or pinpointing the precise binary inside a container that made a particular request for your audit trail. This allows for insights into the behavior (and security) of the system that previously would have needed every process to be (manually) instrumented.
  |  By Tigera
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.
  |  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.
  |  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.
  |  By Tigera
This whitepaper explains five best practices to help meet network security and compliance requirements for modern microservices stack.
  |  By Tigera
Discover how Tigera can help you achieve a scalable, secure, and compliant approach to containers on AWS.
  |  By Tigera
This guide contains detailed technical instructions on how to install and configure network security on Kubernetes platforms.
  |  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.
  |  By Tigera
OpenShift provides a declarative, automated platform to integrate developer workflows into application deployments leveraging open source building blocks such as Kubernetes.
  |  By Tigera
Applying a uniform policy framework allows enterprises to achieve consistent network policy across multiple container orchestrators.
  |  By Tigera
Using simplicity to deliver the performance, stability, and manageability for application connectivity at scale in cloud native platforms such as Kubernetes.

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.