Gartner defines the application security testing (AST) market as the buyers and sellers of products and services designed to analyze and test applications for security vulnerabilities. This market is highly dynamic and continues to experience rapid evolution in response to changing application architectures and enabling technologies. AST tools are offered either as software-as-a-service (SaaS)-based subscription offerings, or less often, as on-premises software. Many vendors offer both options.
Gartner defines cloud financial management (CFM) tools as tooling that provides the ability to collect, organize, display, optimize and manage the investments in cloud computing infrastructure as a service (IaaS) and platform as a service (PaaS). They leverage algorithms, statistical models and/or AI/machine learning (ML) in support of cost reports, dashboards and/or other mechanisms/interfaces that provide capabilities to monitor cost, utilization and value indicators. This allows users to identify trends, anomalies, misaligned expectations, as well as opportunities to increase the efficiency of cloud configurations, architecture and contracts. CFM tools enable enterprises to collect and analyze public cloud cost and usage information, and apply controls to define budget and cost policies to optimize spending on a continuous basis.
Cloud-native application protection platforms (CNAPPs) are a unified and tightly integrated set of security and compliance capabilities, designed to protect cloud-native infrastructure and applications. CNAPPs incorporate an integrated set of proactive and reactive security capabilities, including artifact scanning, security guardrails, configuration and compliance management, risk detection and prioritization, and behavioral analytics, providing visibility, governance and control from code creation to production runtime. CNAPP solutions use a combination of API integrations with leading cloud platform providers, continuous integration/continuous development (CI/CD) pipeline integrations, and agent and agentless workload integration to offer combined development and runtime security coverage.
Gartner defines digital experience monitoring (DEM) tools as those that measure the availability, performance and quality of the user experience (human user or digital agent) of critical applications. This can include internal users (employees and contractors), external users (customers and partners) or a digital agent connecting to an API. In addition to performance, DEM technologies enable observability of user behavior and journey based on their interaction with applications.
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components, no matter where they reside (e.g., in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization data of physical and virtual entities — including servers, containers, network devices, database instances, hypervisors and storage. These tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Gartner defines observability platforms as products used to understand the health, performance and behavior of applications, services and infrastructure. They do this by ingesting telemetry (operational data) from a variety of sources including, but not limited to, logs, metrics, events and traces. Observability platforms enable analysis of the ingested telemetry, either via human operator or machine intelligence, to determine changes in system behavior that impact end-user experience, such as outages or performance degradation. This allows early, and even preemptive, problem remediation. Observability platforms are used by IT operations, site reliability engineers, cloud and platform teams, application developers and product owners. Modern businesses rely heavily on critical digital applications and services, which are revenue-generating, client-facing and important to the efficient operation of the business. Outages, performance degradation and unreliability directly impact top-line revenue, client sentiment and brand perception. Observability platforms are used by organizations to understand and improve the availability, performance and resilience of these critical applications and services. Investment in and successful deployment of observability platforms leads to revenue loss avoidance and enables faster product development cycles and improvements in brand perception.
SIEM is a configurable security system of record that aggregates and analyzes security event data from on-premises and cloud environments. SIEM assists with response actions to mitigate issues that cause harm to the organization and satisfy compliance and reporting requirements. The security information and event management (SIEM) system must assist with: 1. Aggregating and normalizing data from various IT and operational technology (OT) environments 2. Identifying and investigating security events of interest 3. Supporting manual and automated response actions 4. Maintaining and reporting on current and historical security events
The site reliability engineering (SRE) tooling market enables and supports the adoption of SRE practices, and focuses on improving reliability, resilience and the customer experience of products and platforms. These tools help organizations move faster while managing operational risks by setting and managing reliability goals, and surfacing monitoring and observability insights and performance demands. The tools are delivered as stand-alone tools, or as part of platforms with broader capabilities. SRE tools are essential for ensuring the reliability, performance and overall health of software systems. They provide valuable insights and automation capabilities that help teams manage complex systems effectively.