Alternatives to Tigera

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

Wiz is a new approach in cloud security. It finds the most important risks and infiltration vectors across all multi-cloud environments. All lateral movement risks, such as private keys that are used to access production and development environments, can be found. You can scan for vulnerabilities and unpatched software in your workloads. A complete inventory of all services and software within your cloud environments, including version and package details, is available. Cross-reference all keys on your workloads with their privileges in your cloud environment. Based on a complete analysis of your cloud network, including those behind multiple hops, you can see which resources are publicly available to the internet. Compare your industry best practices and baselines to assess the configuration of cloud infrastructure, Kubernetes and VM operating system.

Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises. Grafana Cloud is the open observability cloud, designed to help engineering teams observe everything and solve anything. Built on open source, open standards, and open ecosystems, it unifies metrics, logs, traces, and profiles in a single platform for full-stack visibility across applications, infrastructure, and digital experiences. At the core is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support allow teams to ingest telemetry from virtually any environment, while hundreds of integrations connect existing tools and data sources without costly rip-and-replace migrations. Grafana Cloud combines powerful analytics with AI-driven observability. Grafana Assistant helps engineers investigate issues, explore telemetry, and troubleshoot faster. Adaptive Telemetry identifies the data that matters most and aggregates the rest, helping organizations reduce telemetry costs while preserving valuable insights . With solutions for Kubernetes monitoring, application observability, digital experience monitoring, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers a complete observability platform that scales with your business.

Splunk Observability Cloud serves as an all-encompassing platform for real-time monitoring and observability, aimed at enabling organizations to achieve complete insight into their cloud-native infrastructures, applications, and services. By merging metrics, logs, and traces into a single solution, it delivers uninterrupted end-to-end visibility across intricate architectures. The platform's robust analytics, powered by AI-driven insights and customizable dashboards, empower teams to swiftly pinpoint and address performance challenges, minimize downtime, and enhance system reliability. Supporting a diverse array of integrations, it offers real-time, high-resolution data for proactive monitoring purposes. Consequently, IT and DevOps teams can effectively identify anomalies, optimize performance, and maintain the health and efficiency of both cloud and hybrid environments, ultimately fostering greater operational excellence.

Identity and Data Protection for AWS and Azure, Google Cloud, and Kubernetes. Sonrai's cloud security platform offers a complete risk model that includes activity and movement across cloud accounts and cloud providers. Discover all data and identity relationships between administrators, roles and compute instances. Our critical resource monitor monitors your critical data stored in object stores (e.g. AWS S3, Azure Blob), and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are maintained across multiple cloud providers and third-party data stores. All resolutions are coordinated with the relevant DevSecOps groups.

A pay-as-you-go security and observability software-as-a-service (SaaS) solution designed for containers, Kubernetes, and cloud environments provides users with a real-time overview of service dependencies and interactions across multi-cluster, hybrid, and multi-cloud setups. This platform streamlines the onboarding process and allows for quick resolution of Kubernetes security and observability challenges within mere minutes. Calico Cloud represents a state-of-the-art SaaS offering that empowers organizations of various sizes to secure their cloud workloads and containers, identify potential threats, maintain ongoing compliance, and address service issues in real-time across diverse deployments. Built upon Calico Open Source, which is recognized as the leading container networking and security framework, Calico Cloud allows teams to leverage a managed service model instead of managing a complex platform, enhancing their capacity for rapid analysis and informed decision-making. Moreover, this innovative platform is tailored to adapt to evolving security needs, ensuring that users are always equipped with the latest tools and insights to safeguard their cloud infrastructure effectively.

ServiceNow Cloud Observability provides real-time visibility and monitoring of cloud infrastructure, applications and services. It allows organizations to identify and resolve performance problems by integrating data from different cloud environments into a single dashboard. ServiceNow Cloud Observability's advanced analytics and alerting features help IT and DevOps departments detect anomalies, troubleshoot issues, and ensure optimal performance. The platform supports AI-driven insights and automation, allowing teams the ability to respond quickly to incidents. Overall, the platform improves operational efficiency while ensuring a seamless user-experience across cloud environments.

Calico Enterprise offers a comprehensive security platform designed for full-stack observability specifically tailored for containers and Kubernetes environments. As the sole active security solution in the industry that integrates this capability, Calico Enterprise leverages Kubernetes' declarative approach to define security and observability as code, ensuring that security policies are consistently enforced and compliance is maintained. This platform also enhances troubleshooting capabilities across various deployments, including multi-cluster, multi-cloud, and hybrid architectures. Furthermore, it facilitates the implementation of zero-trust workload access controls that regulate traffic to and from individual pods, bolstering the security of your Kubernetes cluster. Users can also create DNS policies that enforce precise access controls between workloads and the external services they require, such as Amazon RDS and ElastiCache, thereby enhancing the overall security posture of the environment. In addition, this proactive approach allows organizations to adapt quickly to changing security requirements while maintaining seamless connectivity.

Only StackRox offers an all-encompassing view of your cloud-native environment, covering everything from images and container registries to Kubernetes deployment settings and container runtime activities. With its robust integration into Kubernetes, StackRox provides insights specifically tailored to deployments, equipping security and DevOps teams with a thorough understanding of their cloud-native systems, which includes images, containers, pods, namespaces, clusters, and their respective configurations. You gain quick insights into potential risks within your environment, your compliance standing, and any suspicious traffic that may be occurring. Each overview allows you to delve deeper into specifics. Furthermore, StackRox simplifies the process of identifying and scrutinizing container images in your environment, thanks to its native integrations and support for nearly all types of image registries, making it a vital tool for maintaining security and efficiency.

KubeArmor is an open-source, cloud-native security engine that provides runtime enforcement for Kubernetes clusters, containers, and virtual machines, using eBPF and Linux Security Modules such as AppArmor, BPF-LSM, and SELinux. It protects workloads by restricting behaviors like process execution, file operations, networking, and resource consumption, all enforced through customizable, Kubernetes-native policies. Unlike traditional post-attack mitigations that react after malicious activity occurs, KubeArmor’s inline enforcement blocks threats proactively without requiring changes to containers or hosts. Its simplified policy descriptions and non-privileged daemonset architecture make it easy to deploy and manage across diverse environments, including multi-cloud and edge networks. The platform logs policy violations in real time and supports granular network communication controls between containers. Installation can be done effortlessly using Helm charts, with detailed documentation and video guides available. KubeArmor is listed on AWS, Red Hat, Oracle, and DigitalOcean marketplaces, demonstrating broad industry acceptance. It also offers specialized features for IoT, 5G security, and workload sandboxing, making it a versatile choice for modern cloud-native security.

Devtron serves as an AI-driven, Kubernetes-centric DevOps platform that aims to streamline and integrate the entire application delivery lifecycle, infrastructure oversight, and operational tasks within a singular control interface. By merging essential DevOps functionalities, including CI/CD, GitOps, security measures, observability, cost oversight, and debugging tools, it removes the hassle of juggling various disjointed tools and dashboards. This platform functions as a unified control layer for Kubernetes settings, empowering teams to deploy, monitor, manage, and resolve issues with applications across multi-cloud or on-premises clusters, all while ensuring comprehensive visibility and governance. Additionally, it features Kubernetes-native CI/CD pipelines with no-code workflows, orchestration across multiple environments, approval-based deployments, and reusable templates, facilitating quicker and more dependable software delivery while minimizing manual tasks. Thus, organizations can achieve greater efficiency and consistency in their development processes.

NeuVector provides complete security for the entire CI/CD process. We provide vulnerability management and attack blocking in all production with our patented container firewall. NeuVector provides PCI-ready container security. You can meet your requirements in less time and with less effort. NeuVector protects IP and data in public and private cloud environments. Continuously scan the container throughout its lifecycle. Security roadblocks should be removed. Incorporate security policies from the beginning. Comprehensive vulnerability management to determine your risk profile. The only patentable container firewall provides immediate protection against known and unknown threats for zero days. NeuVector is essential for PCI and other mandates. It creates a virtual firewall to protect personal and private information on your network. NeuVector is a kubernetes-native container security platform which provides complete container security.

Observability platforms that utilize distributed tracing, like Jaeger, play a crucial role in the functioning of contemporary software applications designed with a microservices architecture. By tracking the movement of requests and data through a distributed system, Jaeger provides visibility into how these requests interact with various services, which can often lead to delays or errors. This platform adeptly links these different elements, enabling users to pinpoint performance issues, diagnose errors, and enhance the overall reliability of applications. Furthermore, Jaeger stands out as a fully open source solution that is designed to be cloud-native and capable of scaling indefinitely. Its ability to provide deep insights into complex systems makes it an invaluable tool for developers aiming to optimize application performance.

Kubernetes, cloud, and container security that closes loop from source to finish Find vulnerabilities and prioritize them; detect and respond appropriately to threats and anomalies; manage configurations, permissions and compliance. All activity across cloud, containers, and hosts can be viewed. Runtime intelligence can be used to prioritize security alerts, and eliminate guesswork. Guided remediation using a simple pull request at source can reduce time to resolution. Any activity in any app or service, by any user, across clouds, containers and hosts, can be viewed. Risk Spotlight can reduce vulnerability noise by up 95% with runtime context. ToDo allows you to prioritize the security issues that are most urgent. Map production misconfigurations and excessive privileges to infrastructure as code (IaC), manifest. A guided remediation workflow opens a pull request directly at source.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

Isovalent Cilium Enterprise delivers comprehensive solutions for cloud-native networking, security, and observability, leveraging the power of eBPF to enhance your cloud infrastructure. It facilitates the connection, security, and monitoring of applications across diverse multi-cluster and multi-cloud environments. This robust Container Network Interface (CNI) offers extensive scalability alongside high-performance load balancing and sophisticated network policy management. By shifting the focus of security to process behavior rather than merely packet header analysis, it redefines security protocols. Open source principles are fundamental to Isovalent's philosophy, emphasizing innovation and commitment to the values upheld by open source communities. Interested individuals can arrange a customized live demonstration with an expert in Isovalent Cilium Enterprise and consult with the sales team to evaluate a deployment tailored for enterprise needs. Additionally, users are encouraged to explore interactive labs in a sandbox setting that promote advanced application monitoring alongside features like runtime security, transparent encryption, compliance monitoring, and seamless integration with CI/CD and GitOps practices. Embracing such technologies not only enhances operational efficiency but also strengthens overall security capabilities.

ARMO guarantees comprehensive security for workloads and data hosted internally. Our innovative technology, currently under patent review, safeguards against breaches and minimizes security-related overhead across all environments, whether they are cloud-native, hybrid, or legacy systems. Each microservice is uniquely protected by ARMO, achieved through the creation of a cryptographic code DNA-based workload identity. This involves a thorough analysis of the distinctive code signature of each application, resulting in a personalized and secure identity for every workload instance. To thwart hacking attempts, we implement and uphold trusted security anchors within the software memory that is protected throughout the entire application execution lifecycle. Our stealth coding technology effectively prevents any reverse engineering of the protective code, ensuring that secrets and encryption keys are fully safeguarded while they are in use. Furthermore, our encryption keys remain concealed and are never exposed, rendering them impervious to theft. Ultimately, ARMO provides robust, individualized security solutions tailored to the specific needs of each workload.

Threat Stack is the market leader in cloud security & compliance. We help companies secure the cloud to maximize the business benefits. Threat Stack Cloud Security Platform®, provides full stack security observability through the cloud management console, host and container, orchestration, managed containers and serverless layers. Threat Stack allows you to consume telemetry in existing security workflows or manage it with you through Threat Stack Cloud SecOpsTM so you can respond quickly to security incidents and improve your cloud security posture over time.

kgateway is a widely deployed Kubernetes gateway designed to power modern microservices and AI-driven workloads. It serves as a control plane for advanced ingress, API management, and AI gateway use cases. Built on Envoy and open-source foundations, kgateway implements the Kubernetes Gateway API for consistent, cloud-native connectivity. The platform aggregates APIs and applies authentication, authorization, and rate limiting in one centralized layer. Kgateway also protects AI models, tools, and agents by securing LLM consumption and data access. Intelligent routing capabilities support AI inference workloads directly inside Kubernetes clusters. The platform scales from lightweight microgateways to massively parallel centralized gateways. Kgateway supports agent-to-agent and MCP-based communication through a single secure endpoint. It enables omni-directional API connectivity across hybrid and multi-cloud environments. Kgateway helps organizations innovate faster while maintaining security and governance.

Modern cloud-native applications come with significantly more dependencies, fleeting lifecycles, releases, and telemetry data than ever before. Traditional proprietary monitoring and application performance management (APM) solutions were developed for the age of monolithic applications and fixed infrastructure. These legacy tools tend to be costly, intrusive, and fragmented, often creating more confusion than clarity. While open-source and cloud monitoring options provide a solid starting point, they demand highly experienced engineers to effectively integrate, maintain, and interpret the data they generate. As you navigate the complexities of transitioning to contemporary infrastructure, your existing monitoring framework may be pushed to its limits. This signals the need for a new strategy. Enter OpsCruise! Our platform boasts an in-depth understanding of Kubernetes, and when paired with our innovative machine learning-based behavior profiling, it equips your team to anticipate performance issues and quickly identify their origins. Best of all, this can be achieved at a fraction of the cost of existing monitoring solutions, eliminating the need for code instrumentation, agent deployment, or the upkeep of open-source tools. With OpsCruise, you're not just adopting a new tool; you're embracing a transformational shift in how you manage and optimize your infrastructure.

Solo Enterprise offers a comprehensive cloud-native application networking and connectivity solution that enables businesses to securely connect, scale, manage, and monitor APIs, microservices, and advanced AI workloads within distributed infrastructures, particularly in Kubernetes-based and multi-cluster environments. The platform's foundational features leverage open-source technologies such as Envoy and Istio, including Gloo Gateway, which facilitates omnidirectional API management by effectively handling external, internal, and third-party traffic while ensuring security, authentication, traffic routing, observability, and analytics. Additionally, Gloo Mesh provides a centralized control mechanism for multi-cluster service mesh, streamlining service-to-service connectivity and security across different clusters. Moreover, the Agentgateway and Gloo AI Gateway enable secure and governed traffic for LLM/AI agents, incorporating essential guardrails and integration capabilities to enhance functionality and security. This multifaceted approach ensures that enterprises can operate efficiently in a rapidly evolving technological landscape.

OpenLIT serves as an observability tool that is fully integrated with OpenTelemetry, specifically tailored for application monitoring. It simplifies the integration of observability into AI projects, requiring only a single line of code for setup. This tool is compatible with leading LLM libraries, such as those from OpenAI and HuggingFace, making its implementation feel both easy and intuitive. Users can monitor LLM and GPU performance, along with associated costs, to optimize efficiency and scalability effectively. The platform streams data for visualization, enabling rapid decision-making and adjustments without compromising application performance. OpenLIT's user interface is designed to provide a clear view of LLM expenses, token usage, performance metrics, and user interactions. Additionally, it facilitates seamless connections to widely-used observability platforms like Datadog and Grafana Cloud for automatic data export. This comprehensive approach ensures that your applications are consistently monitored, allowing for proactive management of resources and performance. With OpenLIT, developers can focus on enhancing their AI models while the tool manages observability seamlessly.

Panoptica makes it easy for you to secure containers, APIs and serverless functions and manage your software bills of material. It analyzes both internal and external APIs, assigns risk scores, and then reports back to you. Your policies determine which API calls the gateway allows or disables. Cloud-native architectures enable teams to develop and deploy software faster, keeping up with today's market. However, this speed comes at a cost: security. Panoptica fills these gaps by integrating automated policy-based security and visibility at every stage of the software-development process. The number of attack points has increased significantly with the decentralized cloud-native architectures. Changes in the computing landscape have also increased the risk of security breaches. Here are some reasons why comprehensive security is so important. A platform that protects all aspects of an application's lifecycle, from development to runtime, is essential.

Cortex Cloud, developed by Palo Alto Networks, is an innovative platform aimed at delivering real-time security for cloud environments throughout the software delivery lifecycle. Integrating Cloud Detection and Response (CDR) with a sophisticated Cloud Native Application Protection Platform (CNAPP), Cortex Cloud provides comprehensive visibility and proactive safeguards for code, cloud, and Security Operations Center (SOC) settings. This platform empowers teams to swiftly prevent and address threats through AI-enhanced risk prioritization, runtime defense, and automated remediation processes. Additionally, with its effortless integration across multiple cloud environments, Cortex Cloud guarantees scalable and effective protection for contemporary cloud-native applications while adapting to evolving security challenges.

Bindplane is an advanced telemetry pipeline solution based on OpenTelemetry, designed to streamline observability by centralizing the collection, processing, and routing of critical data. It supports a variety of environments such as Linux, Windows, and Kubernetes, making it easier for DevOps teams to manage telemetry at scale. Bindplane reduces log volume by 40%, enhancing cost efficiency and improving data quality. It also offers intelligent processing capabilities, data encryption, and compliance features, ensuring secure and efficient data management. With a no-code interface, the platform provides quick onboarding and intuitive controls for teams to leverage advanced observability tools.

Enhanced high-definition APM visibility through real user monitoring, synthetic monitoring, and OpenTelemetry offers a solution that is scalable, user-friendly, and simplifies the integration of insights from end users, applications, networks, and the cloud-native space. The rise of microservices within containerized environments on dynamic cloud infrastructures has resulted in a highly transient and distributed landscape at an unprecedented scale. Traditional methods of enhancing APM, which rely on sampled transactions, partial traces, and aggregate metrics, have become ineffective, as legacy APM solutions struggle to identify the reasons behind slow or stalling critical business applications. The Riverbed platform provides cohesive visibility across the contemporary application landscape, ensuring ease of deployment and management, while facilitating quicker resolution of even the most challenging performance issues. Riverbed APM is thoroughly designed for the cloud-native environment, offering extensive monitoring and observability for transactions that operate on the latest cloud and application infrastructures, ultimately enhancing operational efficiency and user experience. This comprehensive approach not only addresses current performance challenges but also positions organizations to adapt to future technological advancements seamlessly.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

CloudDefense.AI stands out as a premier multi-layered Cloud Native Application Protection Platform (CNAPP), expertly designed to protect your cloud assets and cloud-native applications with exceptional skill, accuracy, and assurance. Enhance your code-to-cloud journey with the superior capabilities of our top-tier CNAPP, which provides unparalleled security measures to maintain the integrity and confidentiality of your business's data. Our platform encompasses a wide range of features, including sophisticated threat detection, continuous monitoring, and swift incident response, ensuring comprehensive protection that empowers you to tackle today's intricate security hurdles with ease. By seamlessly integrating with your cloud and Kubernetes environments, our innovative CNAPP performs rapid infrastructure scans and generates detailed vulnerability assessments in just minutes, eliminating the need for additional resources or maintenance concerns. We take care of everything, from addressing vulnerabilities to ensuring compliance across multiple cloud platforms, protecting workloads, and securing containerized applications, so you can focus on growing your business without worrying about security breaches. With CloudDefense.AI, you can rest assured that your cloud ecosystem is fortified against potential threats.

SaaS-based Observability is designed to enhance oversight across cloud-native, on-premises, and hybrid technology environments. SolarWinds Observability SaaS provides an integrated and in-depth view of both cloud-native and on-premises applications, whether they are custom-built or commercially available, ensuring that service levels are maintained and user satisfaction is prioritized for essential business services. It facilitates comprehensive troubleshooting for both internal and commercial applications by offering unified code-level diagnostics through transaction tracing, code profiling, and exception tracking, coupled with insights from end-user experiences gathered via synthetic and real user monitoring. Additionally, the platform includes advanced database performance monitoring, which boosts system efficiency, enhances team productivity, and leads to infrastructure cost reductions, by delivering complete visibility into various open-source databases such as MySQL®, PostgreSQL®, MongoDB®, Azure® SQL, Amazon Aurora®, and Redis®. This holistic approach ensures that organizations can effectively manage their technology stacks, ultimately leading to improved operational outcomes.

Efficiently manage multicluster environments for Azure Kubernetes Service (AKS) that involve tasks such as workload distribution, north-south traffic load balancing for incoming requests to various clusters, and coordinated upgrades across different clusters. The fleet cluster offers a centralized management system for overseeing all your clusters on a large scale. A dedicated hub cluster manages the upgrades and the configuration of your Kubernetes clusters seamlessly. Through Kubernetes configuration propagation, you can apply policies and overrides to distribute resources across the fleet's member clusters effectively. The north-south load balancer regulates the movement of traffic among workloads situated in multiple member clusters within the fleet. You can group various Azure Kubernetes Service (AKS) clusters to streamline workflows involving Kubernetes configuration propagation and networking across multiple clusters. Furthermore, the fleet system necessitates a hub Kubernetes cluster to maintain configurations related to placement policies and multicluster networking, thereby enhancing operational efficiency and simplifying management tasks. This approach not only optimizes resource usage but also helps in maintaining consistency and reliability across all clusters involved.

Falcon Cloud Workload Protection offers comprehensive insight into events related to workloads and containers, along with instance metadata, facilitating quicker and more precise detection, response, threat hunting, and investigation, ensuring that every detail in your cloud infrastructure is accounted for. This solution safeguards your entire cloud-native ecosystem across all environments, covering every workload, container, and Kubernetes application. It automates security measures to identify and mitigate suspicious behavior, zero-day vulnerabilities, and high-risk actions, enabling you to proactively address threats and minimize your attack surface. Furthermore, Falcon Cloud Workload Protection features essential integrations that enhance continuous integration/continuous delivery (CI/CD) processes, empowering you to secure workloads rapidly in sync with DevOps without compromising performance. By leveraging these capabilities, organizations can maintain a robust security posture in an increasingly dynamic cloud landscape.

Cilium is an open-source tool designed to enhance, secure, and monitor network interactions among container workloads and cloud-native environments, leveraging the groundbreaking Kernel technology known as eBPF. Unlike traditional setups, Kubernetes does not inherently include a Load Balancing solution, which is often left to cloud providers or the networking teams in private cloud settings. By utilizing BGP, Cilium can manage incoming traffic effectively, while also using XDP and eBPF to optimize performance. These combined technologies deliver a powerful and secure load balancing solution. Operating at the kernel level, Cilium and eBPF allow for informed decisions regarding the connectivity of various workloads, whether they reside on the same node or across different clusters. Through the integration of eBPF and XDP, Cilium significantly enhances latency and performance, replacing the need for Kube-proxy altogether, which streamlines operations and improves resource usage. This not only simplifies the network architecture but also empowers developers to focus more on application development rather than infrastructure concerns.

BMC Helix Operations Management serves as a comprehensive, cloud-native solution for observability and AIOps, specifically engineered to address the complexities of hybrid-cloud environments. Adopting a service-oriented perspective towards observability data is crucial for achieving effective AIOps results. It facilitates the integration of third-party observability inputs, including metrics, events, logs, incidents, changes, and topologies, into a unified IT data repository. This enables users to monitor service health and enhances the capacity for pinpointing root causes through automatically generated dynamic business service models. The AI-driven features improve the signal-to-noise ratio by employing event suppression, de-duplication, and correlation, all aimed at generating actionable insights. Users can quickly identify root causes with AI probability assignments to key causal nodes based on comprehensive data and service models. Additionally, the platform aids in preventing future incidents through proactive Business Service Health monitoring and AI-driven outage predictions. Troubleshooting is expedited via enriched logs and advanced analytics, while users can conveniently request and implement automations through BMC or other third-party tools, making management seamless and efficient. Ultimately, this solution empowers organizations to enhance their operational resilience and streamline management processes.

Achieve efficiency with a comprehensive array of workload security features that safeguard your cloud-native applications, platforms, and data in any setting using a unified agent. With robust API integrations with Azure and AWS, Deep Security operates fluidly within cloud infrastructures. You can protect valuable enterprise workloads without the hassle of establishing and managing your own security framework. This solution also facilitates the acceleration and maintenance of compliance across hybrid and multi-cloud environments. While AWS and Azure boast numerous compliance certifications, the responsibility for securing your cloud workloads ultimately rests with you. Protect servers spanning both data centers and the cloud using a singular security solution, eliminating concerns about product updates, hosting, or database administration. Quick Start AWS CloudFormation templates are available for NIST compliance as well as AWS Marketplace. Furthermore, host-based security controls can be deployed automatically, even during auto-scaling events, ensuring continuous security in dynamic environments. This level of integration and automation allows organizations to focus more on their core business rather than security intricacies.

Trend Micro's Hybrid Cloud Security provides a comprehensive solution designed to safeguard servers from various threats. By enhancing security from traditional data centers to cloud workloads, applications, and cloud-native frameworks, this Cloud Security solution delivers platform-based protection, effective risk management, and swift multi-cloud detection and response capabilities. Transitioning away from isolated point solutions, it offers a cybersecurity platform with unmatched range and depth of features, which include CSPM, CNAPP, CWP, CIEM, EASM, and more. It integrates continuous discovery of attack surfaces across workloads, containers, APIs, and cloud resources, along with real-time risk evaluations and prioritization, while also automating mitigation strategies to significantly lower your risk exposure. The system meticulously scans over 900 AWS and Azure rules to identify cloud misconfigurations, aligning its findings with numerous best practices and compliance frameworks. This functionality empowers cloud security and compliance teams to gain clarity on their compliance status, enabling them to swiftly recognize any discrepancies from established security norms and improve their overall security posture.

Kagent is a versatile, open-source framework specifically designed for cloud-native AI agents, allowing teams to construct, deploy, and operate autonomous agents within Kubernetes clusters to streamline complex operational processes, troubleshoot cloud-native infrastructures, and oversee workloads with minimal human oversight. This framework empowers DevOps and platform engineers to develop intelligent agents capable of comprehending natural language, planning strategically, reasoning effectively, and executing a series of actions across Kubernetes environments by utilizing integrated tools and Model Context Protocol (MCP)-compatible integrations for various functions, including metric queries, pod log displays, resource management, and service mesh interactions. Additionally, Kagent facilitates communication between agents to orchestrate intricate workflows and includes observability features that enable teams to track and assess agent performance and behavior. Furthermore, its compatibility with multiple model providers, such as OpenAI and Anthropic, enhances its versatility and adaptability within diverse operational contexts.

When organizations choose to invest in a comprehensive observability platform that integrates data, insights, and actions throughout their IT landscape, they are able to address issues more swiftly while also removing data silos, reducing the need for resource-intensive war rooms, and alleviating alert fatigue. The Riverbed IQ unified observability solution empowers both business and IT to make quick and effective decisions by encapsulating expert troubleshooting knowledge, enabling less experienced staff to deliver more first-level resolutions, which in turn fosters digital innovation and enhances the overall digital experience for both customers and employees. By utilizing broad-based telemetry, organizations can attain a cohesive view of performance and insights, establishing a solid foundation of unified observability that supports the delivery of all other capabilities. Riverbed IQ’s methodology towards unified observability initiates with our full-fidelity telemetry, which spans across network and infrastructure components and incorporates metrics related to the end-user experience, ensuring a comprehensive understanding of system performance. This holistic approach not only streamlines troubleshooting but also positions organizations to respond adeptly to evolving digital demands.

Open-source solutions for Kubernetes enable efficient workflow management, cluster administration, and effective GitOps practices. These Kubernetes-native workflow engines allow for the implementation of both Directed Acyclic Graph (DAG) and step-based workflows, promoting a declarative approach to continuous delivery alongside a comprehensive user interface. They simplify advanced deployment strategies, such as Canary and Blue-Green, to streamline the process. Argo Workflows stands out as an open-source, container-native engine specifically designed for orchestrating parallel jobs within Kubernetes environments, implemented as a Custom Resource Definition (CRD). Users can design complex, multi-step workflows by arranging tasks sequentially or representing their dependencies through a graphical model. This capability enables the execution of demanding computational tasks, such as machine learning or data processing, significantly faster when utilizing Argo Workflows on Kubernetes. Moreover, CI/CD pipelines can be executed natively on Kubernetes, eliminating the need for complicated configurations typically associated with traditional software development tools. Built specifically for container environments, these tools avoid the burdens and constraints that come with legacy virtual machine and server-based systems, paving the way for more efficient operational practices. This makes Argo Workflows an essential component for modern cloud-native development strategies.

Enhance the security of your container environment on GCP, GKE, or Anthos, as containerization empowers development teams to accelerate their workflows, deploy applications effectively, and scale operations to unprecedented levels. With the growing number of containerized workloads in enterprises, it becomes essential to embed security measures at every phase of the build-and-deploy lifecycle. Infrastructure security entails that your container management platform is equipped with the necessary security functionalities. Kubernetes offers robust security features to safeguard your identities, secrets, and network communications, while Google Kubernetes Engine leverages native GCP capabilities—such as Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—as well as GKE-specific tools like application layer secrets encryption and workload identity to provide top-notch Google security for your workloads. Furthermore, ensuring the integrity of the software supply chain is critical, as it guarantees that container images are secure for deployment. This proactive approach ensures that your container images remain free of vulnerabilities and that the images you create are not tampered with, thereby maintaining the overall security of your applications. By investing in these security measures, organizations can confidently adopt containerization without compromising on safety.

Tanzu Observability by Broadcom is an advanced observability solution designed to provide businesses with deep visibility into their cloud-native applications and infrastructure. The platform aggregates metrics, traces, and logs to deliver real-time insights into application performance and operational health. By leveraging AI and machine learning, Tanzu Observability automatically detects anomalies, accelerates root cause analysis, and offers predictive analytics to optimize system performance. With its scalable architecture, the platform supports large deployments, enabling businesses to manage and improve the performance of their digital ecosystems efficiently.

A modern and innovative message queue and message broker designed as a lightweight container to operate seamlessly within Kubernetes, recognized in the CNCF ecosystem, and capable of native integration with cloud-native technologies. This solution is tailored for developers, offering comprehensive messaging patterns while ensuring scalability, high availability, and robust security. It enables rapid microservice connections through a diverse array of connectors, all without requiring any coding skills. With user-friendly SDKs and a removal of predefined topics, channels, brokers, and routes, it simplifies the messaging landscape. The Build & Deploy feature allows users to configure KubeMQ components effortlessly with just a few clicks, followed by deployment using the kubectl command line. Additionally, it facilitates quick Kubernetes deployment, taking under a minute, making it exceptionally developer-friendly by addressing various challenges faced by developers and DevOps teams alike. Overall, this platform streamlines the messaging process and enhances productivity in cloud-native environments.

Trusted by the world’s largest organizations, Veeam Kasten delivers secure, Kubernetes-native data protection and application mobility for the most complete set of distributions and platforms at enterprise scale. We give operations and application teams the confidence to withstand the unexpected and deliver faster, all without complex scripting, unsupported tools, and legacy solutions.

Comprehensive security throughout the entire lifecycle of containerized and serverless applications, spanning from the CI/CD pipeline to operational environments, is essential. Aqua can be deployed either on-premises or in the cloud, scaling to meet various needs. The goal is to proactively prevent security incidents and effectively address them when they occur. The Aqua Security Team Nautilus is dedicated to identifying emerging threats and attacks that focus on the cloud-native ecosystem. By investigating new cloud security challenges, we aim to develop innovative strategies and tools that empower organizations to thwart cloud-native attacks. Aqua safeguards applications from the development phase all the way to production, covering VMs, containers, and serverless workloads throughout the technology stack. With the integration of security automation, software can be released and updated at the rapid pace demanded by DevOps practices. Early detection of vulnerabilities and malware allows for swift remediation, ensuring that only secure artifacts advance through the CI/CD pipeline. Furthermore, protecting cloud-native applications involves reducing their potential attack surfaces and identifying vulnerabilities, embedded secrets, and other security concerns during the development process, ultimately fostering a more secure software deployment environment.

Plexicus offers a unified, cloud-native platform designed to protect the entire software supply chain by identifying and remediating vulnerabilities from the first line of code through to production. Its agentless scanning technology, powered by Plexalyzer, continuously monitors repositories for security risks like SQL injections, providing real-time alerts. Using advanced AI and large language models, Plexicus enriches basic vulnerability data with contextual analysis, severity ratings, and clear remediation guidance. The platform’s Codex Remedium AI agent automates the creation of fixes and pull requests, allowing developers to approve patches with just one click. This AI-driven approach dramatically accelerates the remediation cycle, reducing time and cost by over 90% compared to traditional workflows. Plexicus also offers detailed savings calculators to help teams quantify efficiency gains. With integrations that support DevSecOps practices, Plexicus is trusted by top companies to safeguard their digital infrastructure. It empowers security teams with actionable insights and automated tools to maintain resilient, secure software environments.

Falco serves as the leading open-source solution for ensuring runtime security across hosts, containers, Kubernetes, and cloud environments. It enables users to gain immediate insights into unexpected actions, configuration modifications, intrusions, and instances of data theft. Utilizing the capabilities of eBPF, Falco secures containerized applications at any scale, offering real-time protection regardless of whether they operate on bare metal or virtual machines. Its compatibility with Kubernetes allows for the swift identification of unusual activities within the control plane. Furthermore, Falco monitors for intrusions in real-time across various cloud platforms, including AWS, GCP, Azure, and services like Okta and Github. By effectively detecting threats across containers, Kubernetes, hosts, and cloud services, Falco ensures comprehensive security coverage. It provides continuous streaming detection of abnormal behaviors, configuration alterations, and potential attacks, making it a trustworthy and widely supported standard in the industry. Organizations can confidently rely on Falco for robust security management in their diverse environments.