Announced during the online AWS re:Invent conference, Amazon DevOps Guru is a fully managed service that employs machine learning algorithms to automatically detecting operational issues and recommend specific responses that will be delivered via a notification. Through a single console, IT teams will also be able to visualize their operational data by summarizing relevant data from multiple AWS and third-party data sources, including PagerDuty and Atlassian.

AWS also unfurled AWS Proton, a service to automate the development and deployment of microservices-based applications built using containers and the AWS Lambda serverless computing framework. Available also in preview, AWS Proton is an application management service that enables IT teams to define reusable application components as “stacks” that can be combined with a set of curated application stacks for security, architecture and tools defined by AWS. This service then automates the provisioning of infrastructure as code, the setting up of continuous integration/continuous delivery pipelines and the setting of monitoring tools.

AWS CEO Andy Jassy told conference attendees that in effect, AWS will be managing DevOps processes on behalf of developers.

At the same time, AWS is launching Amazon Elastic Container Service (Amazon ECS) Anywhere, which allows IT teams to use Amazon ECS to orchestrate containers in their own data centers, and Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere, which provides the ability to run EKS on the distribution of Kubernetes that AWS employs in local data centers. There is also now an Amazon Elastic Container Registry (Amazon ECR) Public service for sharing container images.

At the same time, AWS previewed Amazon Aurora Serverless v2, which will make it possible to scale instances of MySQL databases instantly using the AWS serverless computing framework. Support for PostgreSQL databases is planned for next year.

AWS also announced it has added a Microsoft SQL Server-compatibility layer to its PostgreSQL database to make it easier to migrate Windows applications to an open source database. The company will also open-source that capability, dubbed Babblefish, as part of an effort to encourage the development of compatibility layers for other databases. PostgreSQL already provides compatibility with Oracle RDBMS applications.

Jassy chided providers of these proprietary database platforms for changing licensing terms when organizations deploy these databases on public clouds other than their own. Those moves have only created additional demand to migrate faster to open source databases, noted Jassy.

Finally, AWS is adding a slew of infrastructure options, including Mac instances (EC2 Mac instances) for Amazon Elastic Compute Cloud (Amazon EC2). Built on Mac mini computers, the service will make it possible for developers to more cost-effectively build MacOS applications.

In addition, AWS is adding 1U and 2U servers to its AWS Outposts portfolio for deploying infrastructure in on-premises IT environments. Those offerings expand AWS Outposts beyond rack-based systems.

The company is adding AWS Graviton2-powered C6gn instances to deliver 100Gbps networking performance for Arm processors it designed. Those instances offer 40% better price performance over comparable current-generation x86-based instances, according to the company. There is also now M5zn instances of Intel Xeon Scalable processors that offer 45% better compute performance per core than current M5 instances, according to the company.

AWS is also adding G4ad Graphics Processing Unit (GPU) instances based on processors from AMD and revealed its intention to build its own GPUs next year. The company also plans to add an Amazon EC2 instance based on up to eight Habana GAUDI accelerators from Intel to deliver up to 40% better price performance than current GPU-based EC2 instances, according to the company.

Overall, Jassy said AWS grew 26% year over year to achieve a $46 billion run rate. As the number of services provided by the company continues to expand, maintaining that growth rate at a time when applications are moving into the cloud faster than ever looks easily achievable.

Mattermost Inc., provider of an open-source collaboration platform, today announced the launch of Mattermost Cloud, a new software-as-a-service collaboration system designed for DevOps teams and privacy-conscious enterprises.

Using Mattermost Cloud, DevOps teams and developers will be able to orchestrate cross-team workflows with pre-built playbooks and integrations with top-tier developer tools.

The service also offers privacy-conscious enterprises deployment options for private cloud infrastructures on secure topologies using enterprise-grade and strict data residency capabilities.

According to the company, developers and DevOps teams have unique real-time collaboration needs that may not be met by current collaboration platforms. The orchestration of time-sensitive developer workflows for DevOps may not always be best served by support-styled platforms such as Jira, PagerDuty, ZenDesk, Office 365 and others.

DevOps and developers need to collaborate on code, do code reviews, commit to standups without having to switch back and forth across between multiple applications, a process known as context switching. Developers also want to automate bidirectional flow of information between their messaging platform and development tools of choice (such as GitLab, Jira) depending on who is using what.

“With Mattermost Cloud, we now offer our trusted Mattermost self-managed collaboration platform as a SaaS offering that meets the requirements of privacy-conscious enterprises,” said Chandar Venkataraman, chief product officer at Mattermost.

“High-performance development teams have put Mattermost at the heart of their daily operations to increase their efficiency,” Venkataraman added. “As a DevOps command center, Mattermost brings development teams, developer tools, and automation together to orchestrate workflows at every stage of the DevOps lifecycle.”

Mattermost Cloud acts as the backbone of the DevOps team by becoming the command center and a single pane of glass to orchestrate cross-team developer workflows with high-visibility into developer activity. It will help developers centralize all of their activities with incident management, developer tool plugins and a custom playbook.

With incident management, users can declare incidents, be guided to complete tasks organized in stages, track incident progress and resolve incidents. Mattermost thus enables DevOps teams to collaborate throughout the incident lifecycle from triage and investigation, finally resolution and autopsy — involving the entire team and enabling whatever depth is needed for users to understand their roles to get the job done.

With plugins, users can receive a wide array of specialized integrations with common developer tools used to develop, monitor and maintain software, including Jira, Opsgenie, PagerDuty, GitLab, GitHub and Jenkins. They’re often used by other segments of enterprise organizations to connect to DevOps teams in order to operate smoothly.

Finally, with custom playbooks, developers can create workflows comprised of tasks that use automated commands to integrate with any developer tools and applications. These custom playbooks then act as templates that outline procedures and guide the team through any type of events, such as building a specific type of application, a specific prototype for a user interface element, an application programming interface design or any other developer need that might arise in the role of DevOps.

“As a cybersecurity solutions provider, our ability to effectively respond and manage incidents is critical to earning and keeping our customers’ trust,” said William Forrester, development and security operations manager at Check Point Software Technologies Ltd. “Mattermost plays an integral part in our developer toolset. Not only does it enable great communication and teamwork, its many integration options and the new Incident Management capability have also allowed us to greatly increase our productivity and organization.”

Mattermost Cloud is currently available in two editions: Mattermost Cloud Professional and Mattermost Cloud Enterprise. The Professional edition includes the full set of collaboration and DevOps features and is generally available today. The Enterprise edition offers all of the features of the former with a high-trust deployment option, including single-tenant cloud infrastructure, enterprise-grade secure network topology and strict data residency options available in beta.

What Is IT Infrastructure Monitoring?

IT infrastructure monitoring encompasses the continuous observation of an organization’s hardware, software, networks, and services to detect anomalies, predict failures, and maintain agreed service levels. Modern platforms go well beyond simple ping-and-alert mechanics: they collect metrics, logs, and traces; correlate events across layers; and surface actionable insights to on-call engineers, often through integrations with incident-management workflows.

Notable Vendors in the Market

A broad ecosystem of vendors competes in this space, ranging from open-source projects to full-featured SaaS platforms. Frequently cited players include:

• Splunk – widely adopted for log aggregation, search, and operational intelligence across on-premises and cloud environments.
• AppDynamics (Cisco) – focuses on application performance monitoring (APM) with deep transaction tracing and business-impact correlation.
• Datadog – a cloud-native observability platform combining metrics, logs, traces, and synthetics in a unified SaaS interface.
• Nagios Enterprises – one of the longest-standing open-source-derived monitoring frameworks, widely deployed for host and service checks in on-premises environments.
• Zabbix – an open-source enterprise monitoring solution supporting agentless and agent-based collection of infrastructure metrics.
• ScienceLogic – targets large enterprises and managed service providers with AIOps-oriented topology mapping and event correlation.
• PagerDuty – primarily an incident orchestration and on-call management platform that aggregates alerts from many monitoring sources.
• SevOne (now part of IBM) – focuses on network performance management and analytics at scale.
• Spiceworks – a free, community-oriented IT management tool popular with small and mid-sized organizations.
• Broadcom (formerly CA Technologies) – offers enterprise operations management tooling, including AIOps and mainframe monitoring capabilities.

This list is representative, not exhaustive. The competitive landscape shifts regularly through acquisitions, product pivots, and the entry of cloud-provider-native tools such as AWS CloudWatch, Azure Monitor, and Google Cloud Operations Suite.

Deployment Models

Solutions in this market are typically delivered in two primary modes:

• On-premises – software installed and operated within the customer’s own data center. Preferred by organizations with strict data-residency requirements or highly regulated workloads.
• Cloud / SaaS-hosted – the monitoring backend is operated by the vendor. Reduces operational overhead for the customer and typically enables faster feature delivery and elastic scalability.

Hybrid deployments—where agents or collectors run on-premises but ship data to a cloud-hosted control plane—have become increasingly common, particularly as organizations migrate workloads incrementally.

Key Industry Verticals

Demand for infrastructure monitoring tools is significant across a wide range of sectors. The verticals most commonly highlighted in market analyses include:

• IT and Telecommunications – monitoring network equipment, servers, and service delivery pipelines is core to these organizations’ operations.
• Banking, Financial Services, and Insurance (BFSI) – strict uptime requirements, regulatory scrutiny, and fraud-detection needs drive sophisticated monitoring adoption.
• Healthcare – availability of clinical systems and protection of patient data make monitoring both operationally and compliance-critical.
• Energy and Utilities – monitoring of operational technology (OT) and IT convergence points, including SCADA systems and IoT sensors.
• Transportation and Logistics – real-time tracking, fleet management systems, and e-commerce fulfillment platforms depend on continuous infrastructure visibility.

Regional Landscape

Adoption patterns and growth rates vary considerably by geography, reflecting differences in enterprise IT maturity, cloud penetration, and regulatory environments:

• North America (United States, Canada, Mexico) – historically the largest revenue region, driven by early enterprise cloud adoption and a dense concentration of technology vendors.
• Europe (Germany, UK, France, Italy, Russia, Spain, and others) – strong demand from financial services and manufacturing sectors; GDPR compliance requirements influence deployment-model choices.
• Asia-Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others) – rapid digital transformation in India and Southeast Asia, alongside mature markets in Japan and Australia, make this a high-growth region.
• Middle East and Africa (UAE, Saudi Arabia, South Africa, Nigeria, and others) – infrastructure investment and smart-city initiatives are fueling emerging-market adoption.
• South America (Brazil, Argentina, Colombia, and others) – growing e-commerce and fintech sectors are increasing demand for reliable monitoring tooling.

Market Drivers and Challenges

Key Growth Drivers

• Hybrid and multi-cloud complexity – as workloads span multiple providers and on-premises environments, unified visibility becomes harder to achieve and more valuable.
• DevOps and SRE adoption – practices such as continuous delivery, chaos engineering, and error-budget management all depend on comprehensive monitoring and observability.
• AIOps integration – vendors are embedding machine-learning capabilities to reduce alert noise, detect anomalies earlier, and suggest root causes automatically.
• Regulatory compliance – frameworks such as SOC 2, ISO 27001, PCI DSS, and HIPAA require demonstrable controls over system availability and security events, which monitoring tools help satisfy.

Challenges

• Alert fatigue – poorly tuned monitoring generates excessive noise, reducing the effectiveness of on-call rotations.
• Tooling sprawl – many organizations operate overlapping monitoring tools acquired through different teams or acquisitions, increasing cost and complexity.
• Skill gaps – configuring and maintaining sophisticated monitoring platforms requires specialized expertise that remains in short supply.
• Data volume and cost – high-cardinality telemetry from containerized environments can generate enormous data volumes, making cost management a first-class concern.

Analytical Frameworks Commonly Applied

Market research in this space typically applies several standard analytical lenses:

• SWOT analysis – strengths, weaknesses, opportunities, and threats for individual vendors and the market as a whole.
• Porter’s Five Forces – assessing supplier power, buyer power, competitive rivalry, threat of substitutes, and barriers to entry.
• Value chain analysis – examining how value is created and distributed from data collection through to actionable insight delivery.
• Supply and demand dynamics – including the role of open-source alternatives in constraining commercial pricing.

Choosing an Infrastructure Monitoring Platform

When evaluating tools, engineering teams should consider the following criteria:

1. Coverage breadth – does the platform support your full stack, including cloud services, containers, bare metal, and network devices?
2. Integration ecosystem – can it ingest data from, and send alerts to, your existing CI/CD, ticketing, and communication tools?
3. Scalability – what is the operational overhead and cost trajectory as your environment grows?
4. Query and visualization capabilities – can engineers explore data freely, or are they limited to pre-built dashboards?
5. Total cost of ownership – factor in licensing, ingestion costs, storage, and the engineering time required to operate the platform.
6. Vendor stability and roadmap – particularly relevant given the pace of M&A activity in this market.

No single tool is universally optimal. Many mature organizations run complementary tools—for example, Prometheus and Grafana for infrastructure metrics alongside a dedicated APM solution for application tracing—and invest in a correlation layer to unify the resulting signals.

Summary

The IT infrastructure monitoring market encompasses a wide range of vendors, deployment models, and use cases, serving virtually every industry vertical at global scale. For DevOps and platform engineering teams, the core challenge is not a shortage of tooling but rather selecting, integrating, and tuning the right combination of tools to achieve meaningful, low-noise observability across increasingly complex environments. Keeping abreast of vendor consolidation and the rapid evolution of open standards—such as OpenTelemetry—is equally important for making durable architectural decisions.

Why IT Infrastructure Monitoring Matters

As organizations run increasingly complex, hybrid environments — spanning on-premises data centers, private clouds, and public cloud providers — the ability to observe and respond to infrastructure health in real time has become a core operational requirement. IT infrastructure monitoring tools collect metrics, logs, and events from servers, networks, storage, containers, and applications, giving operations and DevOps teams the visibility they need to prevent outages and meet SLAs.

The market for these tools has grown substantially as digital transformation initiatives drive demand across manufacturing, retail, financial services, and government sectors. Both cloud-native SaaS platforms and traditional on-premises solutions compete for adoption, and the choice between them often depends on data residency requirements, existing tooling investments, and team skill sets.

Major Platforms in the IT Infrastructure Monitoring Space

The following vendors are frequently cited as significant players in the infrastructure monitoring market. This is not an exhaustive list, and capabilities evolve rapidly — always evaluate against your current requirements.

• SolarWinds – Offers a broad portfolio including Network Performance Monitor (NPM) and Server & Application Monitor (SAM), widely adopted in mid-market and enterprise environments.
• ManageEngine (Zoho) – Provides OpManager and related tools aimed at network and server monitoring, popular in cost-sensitive enterprise environments.
• Zabbix – A widely used open-source monitoring platform with strong community support, suitable for teams that want deep customization without licensing costs.
• Paessler PRTG – A sensor-based monitoring solution that covers network devices, servers, and cloud resources, licensed by sensor count.
• Datadog – A cloud-native SaaS observability platform offering infrastructure monitoring, APM, log management, and security in a single pane of glass.
• Nagios – One of the earliest open-source monitoring frameworks; Nagios Core remains widely deployed, with Nagios XI offering a commercial version with additional features.
• VMware Aria Operations (formerly vRealize Operations) – Focused on monitoring VMware-based virtualized and cloud infrastructure.
• PagerDuty – Primarily an incident management and alerting platform that integrates with monitoring tools rather than collecting raw metrics itself.
• Catchpoint – Specializes in digital experience monitoring and synthetic testing rather than traditional infrastructure metrics.
• LogicMonitor – A SaaS-based infrastructure monitoring platform with agentless collection and broad device support.
• ScienceLogic – Targets large enterprises and service providers with AIOps-driven infrastructure monitoring.
• Kaseya – Focuses on managed service providers (MSPs) with remote monitoring and management (RMM) capabilities.
• NetApp Cloud Insights – Provides infrastructure observability with a focus on storage performance and cloud cost visibility.
• Micro Focus (now OpenText) – Offers Operations Bridge and related tools for enterprise IT operations management.

Deployment Models: Cloud-Based vs. On-Premises

Most modern monitoring platforms are available in two primary deployment models, and some support hybrid approaches:

Cloud-Based (SaaS)

SaaS monitoring platforms — such as Datadog, LogicMonitor, and Catchpoint — handle infrastructure, scaling, and updates on the vendor’s side. Agents or collectors installed in your environment forward data to the vendor’s cloud backend. This model reduces operational overhead for the monitoring platform itself but introduces dependencies on internet connectivity and may raise data residency or compliance concerns for some organizations.

On-Premises

Self-hosted platforms — such as Zabbix, Nagios Core, and on-premises editions of SolarWinds and ManageEngine — run entirely within your own environment. This gives you full control over data and retention policies but requires your team to manage upgrades, high availability, and storage capacity for the monitoring platform itself.

Key Verticals Driving Adoption

Infrastructure monitoring requirements vary by industry. Common drivers include:

• Manufacturing – OT/IT convergence, monitoring of industrial control systems alongside traditional IT infrastructure, uptime requirements for production lines.
• Retail – High availability for e-commerce platforms and point-of-sale systems, seasonal traffic spike management.
• Financial Services – Strict regulatory requirements, low-latency transaction monitoring, audit trails, and security event correlation.
• Government – Data sovereignty requirements, on-premises deployment preference, compliance with frameworks such as FedRAMP or equivalent national standards.

What to Evaluate When Choosing an Infrastructure Monitoring Tool

When assessing platforms for your environment, consider the following criteria:

1. Coverage breadth – Does the tool support your full stack: physical servers, VMs, containers, network devices, cloud services, and storage? Check the list of supported integrations before committing.
2. Alerting and escalation – Evaluate how alerts are defined, deduplicated, and routed. Many teams pair a monitoring tool with a dedicated incident management platform such as PagerDuty or Opsgenie.
3. Scalability – Consider how the platform handles metric ingestion at your expected scale, especially if you are monitoring thousands of endpoints or running high-frequency polling intervals.
4. Total cost of ownership – Open-source tools like Zabbix and Nagios Core have no license fees but require engineering time to operate. SaaS platforms shift that cost to a subscription, which scales with metric volume or host count.
5. Data retention and query performance – Understand how long raw metrics are retained and at what resolution, and whether historical data is downsampled over time.
6. Visualization and dashboarding – Some platforms include strong built-in dashboards; others are commonly paired with Grafana for flexible visualization.
7. Security and compliance – Evaluate role-based access control, audit logging, encryption in transit and at rest, and any relevant compliance certifications (SOC 2, ISO 27001, FedRAMP, etc.).

Regional Market Considerations

Adoption patterns and vendor preferences vary by geography. North America and Western Europe tend to lead in SaaS adoption, while certain Asia-Pacific markets show stronger preference for on-premises or hybrid deployments due to data residency regulations. Government and financial sector buyers across all regions frequently mandate on-premises or sovereign cloud deployments, which influences vendor roadmap investment in self-hosted options.

Market Dynamics: Competition and Consolidation

The infrastructure monitoring space is characterized by rapid consolidation. Larger observability platforms are acquiring point solutions to broaden their feature sets — for example, adding log management, synthetic monitoring, real user monitoring, and security analytics under a single product umbrella. This trend toward unified observability platforms means that point-solution vendors face growing pressure to differentiate on depth, price, or specialization.

Open-source tools continue to hold significant market share, particularly in organizations with strong engineering teams willing to invest in platform operations. Commercial vendors often compete with open-source alternatives by offering managed hosting, enterprise support contracts, and pre-built integrations that reduce time to value.

Summary

IT infrastructure monitoring is a foundational capability for any organization operating at scale. The market includes mature open-source platforms, established commercial vendors, and rapidly growing cloud-native SaaS providers. Selection should be driven by your specific environment, compliance requirements, team capabilities, and total cost of ownership — not by market share rankings alone. Evaluate shortlisted tools against your actual workload before committing to a long-term contract or a significant deployment investment.