Managing incidents with legacy tools like VictorOps can feel clunky, expensive, or lacking in modern features-leading to alert fatigue, slow escalations, and frustrating on-call experiences. In 2026, teams are switching to more agile, cost-effective alternatives that prioritize smart routing, noise reduction, automation, and deep integrations with monitoring stacks. These platforms make scheduling effortless (no more spreadsheets), ensure the right person gets alerted quickly, and help DevOps teams spend less time firefighting and more time building.
1. AppFirst
AppFirst operates as a platform that lets developers define application requirements and then automatically handles the underlying infrastructure. Users specify needs like CPU, database, networking, and Docker images, while the system provisions VPCs, security boundaries, credentials, and other cloud-specific elements across AWS, Azure, or GCP without requiring manual configuration files.
The setup includes built-in logging, monitoring, and alerting from the start, along with centralized auditing of changes and cost breakdowns by application or environment. Deployment options cover SaaS hosting or self-hosted installations, which suits groups looking to avoid maintaining separate infrastructure tools or processes.
נקודות עיקריות:
- Automatic multi-cloud provisioning
- No manual Terraform or YAML needed
- Built-in security standards
- ביקורת שינויים מרכזית
- Cost tracking per application
- Self-hosted deployment possible
שירותים:
- Infrastructure provisioning across major clouds
- רישום וניטור מובנים
- Alerting configuration
- Networking and security setup
- ניהול מסדי נתונים
- Docker-based application deployment
פרטי קשר:
- אֲתַר אִינטֶרנֶט: www.appfirst.dev
2. PagerDuty
PagerDuty operates as a comprehensive platform focused on handling incidents from detection through resolution. It brings together alerting, automation, and AI features to manage critical operations, including noise reduction and workflow automation across various areas like customer service and IT resilience.
The setup includes options for trying different components separately, with emphasis on end-to-end incident handling and integration capabilities for modern digital operations.
נקודות עיקריות:
- Incident management with automation
- AIOps for separating signal from noise
- Generative AI tools for operations
- Solutions for resiliency and customer experience
- Free trials available for core features
יתרונות:
- Handles full lifecycle of incidents efficiently
- Strong automation at scale
- Flexible for different operational needs
חסרונות:
- Can feel overwhelming with multiple specialized solutions
- Setup might require planning for specific use cases
פרטי קשר:
- אתר אינטרנט: www.pagerduty.com
- Phone: +18448003889
- דוא"ל: sales@pagerduty.com
- לינקדאין: www.linkedin.com/company/pagerduty
- פייסבוק: www.facebook.com/PagerDuty
- טוויטר: x.com/pagerduty
- אינסטגרם: www.instagram.com/pagerduty
3. Jira Service Management (from Atlassian)
Jira Service Management incorporates alerting and on-call features previously found in standalone tools, offering a migration path for users moving from dedicated incident platforms. It combines incident response with broader service management, including request handling and virtual agents.
Compass provides a more focused option for core alerting and software component tracking, aimed at teams needing context for alerts without full service desk expansion.
נקודות עיקריות:
- Migration tools with step-by-step guidance
- Alerting and on-call scheduling included
- Options between full service management or streamlined alerting
- Community and documentation support for transitions
יתרונות:
- Keeps key alerting features in one place
- Expands to comprehensive service tools if needed
- No interruption during migration process
חסרונות:
- Splits features across different products
- Might require choosing between broader or narrower scope
פרטי קשר:
- Website: www.atlassian.com/software/jira/service-management
- טלפון: 1 415 701 1110+
- כתובת: 350 Bush Street Floor 13 San Francisco, CA 94104 ארצות הברית
- LinkedIn: www.linkedin.com/company/atlassian
- פייסבוק: www.facebook.com/Atlassian
- טוויטר: x.com/atlassian
4. Better Stack
Better Stack bundles observability tools with incident management, allowing resolution directly in collaboration apps like Slack or Teams. It covers tracing, logging, monitoring, and alerting in a single stack, with emphasis on handling large data volumes affordably.
The approach integrates multiple monitoring aspects, making it suitable for teams wanting everything under one roof without separate tools.
נקודות עיקריות:
- Incident handling in chat applications
- Combined log management and tracing
- Infrastructure and error tracking
- Status pages and uptime checks
- Free start option available
יתרונות:
- Keeps costs predictable while scaling data
- Resolves issues without switching tools
- Covers full observability needs
חסרונות:
- Heavy focus on cost comparison might overshadow setup
- Assumes existing monitoring migration
פרטי קשר:
- אתר אינטרנט: betterstack.com
- טלפון: +1 (628) 900-3830
- דוא"ל: hello@betterstack.com
- LinkedIn: www.linkedin.com/company/betterstack
- טוויטר: x.com/betterstackhq
- אינסטגרם: www.instagram.com/betterstackhq
5. Squadcast
Squadcast delivers a reliability platform that unifies on-call, incident response, and related workflows, now integrated with observability from its acquisition. It automates routines like escalations, noise reduction, and post-incident reviews, including status pages and runbooks.
Features aim at consolidating alerting sources and providing visibility into service health for quicker resolutions.
נקודות עיקריות:
- Unified on-call and incident interface
- Workflows for automation
- Service level objectives tracking
- Status pages for communication
- Free start and demo scheduling
יתרונות:
- Brings monitoring and response together
- Automates common incident tasks
- Transparent stakeholder updates
חסרונות:
- Recent acquisition might mean ongoing integrations
- Stats-heavy presentation can feel dense
פרטי קשר:
- אתר אינטרנט: www.squadcast.com
- LinkedIn: www.linkedin.com/company/squadcast
- טוויטר: x.com/squadcastHQ
6. Zenduty
Zenduty functions as an incident management setup with a focus on giving a clear overview of operations in real time. It handles alerting through customizable rules tied to severity or type, routes notifications across channels like Slack or Teams, and pulls in playbooks for handling incidents with tasks and reviews afterward.
Mobile apps extend the reach, letting users get push alerts on phones or watches and handle acknowledgments quickly. The AI parts help with insights and cutting down manual work during responses, though it sometimes feels like the integrations are the real standout here.
נקודות עיקריות:
- Customizable on-call rotations
- Playbooks attached to incidents
- Alert suppression and routing
- אפליקציות סלולריות עבור iOS ו-Android
- Integrations with monitoring tools
- Free signup available
יתרונות:
- Strong Slack and Teams coordination
- Easy mobile incident handling
- Noise reduction built in
חסרונות:
- AI features might need tuning for specific setups
- Rebranding could confuse older users
פרטי קשר:
- אתר אינטרנט: zenduty.com
- טלפון: +1 408-521-1217
- דוא"ל: contact@zenduty.com
- כתובת: קומת קרקע, Incubex HSR18, 581, 1st Main Rd, Sector 6, HSR Layout, Bengaluru, Karnataka 560102
- LinkedIn: www.linkedin.com/company/zenduty
7. xMatters
xMatters centers on automating incident flows with built-in AI to enrich alerts and connect tools smoothly. It covers on-call scheduling with auto-escalations, workflow building without much coding, and ways to filter noise from various monitoring sources.
The adaptive side aims at resolving issues proactively and pulling lessons from past events, plus analytics for spotting bottlenecks. Customization stands out, but the demo-heavy approach makes it a bit tricky to grasp everything upfront without diving in.
נקודות עיקריות:
- Workflow automation options
- Signal intelligence for alert context
- On-call escalation handling
- Actionable analytics dashboard
- Personalized demo paths
יתרונות:
- Flexible integrations for existing setups
- Reduces noise effectively
- Supports proactive resolutions
חסרונות:
- Heavy reliance on demos for exploration
- Analytics might overwhelm simpler needs
פרטי קשר:
- אתר אינטרנט: www.xmatters.com
- טלפון: +1 781-373-9800
- כתובת: 1130 West Pender Street, Suite 780, Vancouver, BC V6E 4A4
- LinkedIn: www.linkedin.com/company/xmatters-inc
- פייסבוק: www.facebook.com/xMatters
- טוויטר: x.com/xmatters_inc
8. BigPanda
BigPanda uses AIOps to correlate events and automate early-stage operations in IT environments. It builds context around alerts, cuts duplicates, and adds details for quicker prioritization, while tying into systems like ServiceNow for ticket handling.
The agentic AI extends to preventing issues through change analysis and unified views across data sources. It’s geared toward larger setups, where the knowledge graph part helps break down silos, though that complexity can slow initial adoption.
נקודות עיקריות:
- Event correlation and enrichment
- Agentic AI for response and prevention
- Unified analytics for insights
- Native ServiceNow integration
- IT knowledge graph for data unity
יתרונות:
- Good at handling alert volume
- Predictive elements for resilience
- Reduces unnecessary escalations
חסרונות:
- Suited more for complex environments
- Setup involves data unification effort
פרטי קשר:
- אתר אינטרנט: www.bigpanda.io
- Address: 555 Twin Dolphin Dr., Suite 155б Redwood City, CA 94065
- LinkedIn: www.linkedin.com/company/bigpanda
- טוויטר: x.com/bigpanda
9. AlertOps
AlertOps leans heavily on its AI core, called OpsIQ, to triage alerts, group related ones, and suggest fixes while cutting noise automatically. It routes notifications to on-call folks via multiple methods, including live calls, and supports custom escalations tied to SLAs.
Dashboards track performance down to individual levels, with easy post-mortem exports. The sheer number of integrations is handy, but the AI reasoning agents sometimes come across as the main hook rather than a subtle helper.
נקודות עיקריות:
- AI agents for root cause and resolution
- Smart alert correlation
- Custom escalation policies
- Mobile and phone notifications
- Real-time performance dashboards
יתרונות:
- Extensive pre-built integrations
- Strong noise filtering
- Live call routing option
חסרונות:
- AI prompts might require fine-tuning
- Default schedules feel basic at first
פרטי קשר:
- אתר אינטרנט: alertops.com
- טלפון: +18442928255
- דוא"ל: sales@alertops.com
- כתובת: 125 Fairfield Way #330, Bloomingdale, IL 60108
- LinkedIn: www.linkedin.com/company/alertops
- פייסבוק: www.facebook.com/AlertOpsOfficial
- טוויטר: x.com/alertops
- אינסטגרם: www.instagram.com/alertopsofficial
10. Spike
Spike focuses on delivering alerts through channels that are hard to miss, like phone calls and SMS, alongside chat apps. It sets up automatic escalations and one-click responses from notifications, pulling in data from monitoring tools without needing major changes to existing setups.
On-call handling includes rotations that sync with calendars and allow quick overrides. The phone call feature stands out for urgency, though it might feel a bit direct compared to quieter options.
נקודות עיקריות:
- Phone call and SMS notifications
- Automated escalations
- On-call scheduling with calendar sync
- Webhook and API custom workflows
- Live call routing options
- 14 יום ניסיון חינם זמין
יתרונות:
- Alerts arrive reliably even in busy modes
- Quick setup with existing tools
- Fast actions from notifications
חסרונות:
- Phone alerts can interrupt more than expected
- Higher plans needed for unlimited calls
פרטי קשר:
- Website: spike.sh
- Email: hello@spike.sh
- LinkedIn: www.linkedin.com/company/spike-hq
- Twitter: x.com/spikedhq
- App Store: apps.apple.com/us/app/spike-sh/id1586777789
- Google Play: play.google.com/store/apps/details?id=sh.spike.spike_sh_app
11. PagerTree
PagerTree simplifies sharing on-call duties with straightforward schedules and added escalation layers for backup. It routes alerts to the current person on duty via push, email, voice, or chat, and includes ways to pause integrations during planned work.
Features cover performance tracking and mass updates for bigger events, plus routing incoming calls directly to schedules. The approach keeps things centralized, but the frequent new integrations suggest it’s still expanding quickly.
נקודות עיקריות:
- Simple on-call rotations
- Escalation redundancy
- Multiple notification types including voice
- Live call routing
- Maintenance windows for alerts
- ניתוח ביצועים
יתרונות:
- Easy to manage schedules
- Redundant alerting paths
- Handles planned downtimes well
חסרונות:
- Might need time to catch all new integrations
- Analytics could suit smaller setups better
פרטי קשר:
- Website: pagertree.com
- Phone: +1 530-771-8733
- Email: support@pagertree.com
- Address: 1438 W Broadway Rd., Suite 101, Tempe, AZ 85282, USA
- App Store: apps.apple.com/us/app/pagertree/id1266437807
- Google Play: play.google.com/store/apps/details?id=com.pagertree.app
12. New Relic
New Relic provides a broad observability platform that includes alerting for anomalies and system health issues across applications, infrastructure, and more. It bundles monitoring for logs, traces, databases, and networks, with dashboards for overview.
The alerting ties into full-stack views, helping spot problems early, but direct on-call scheduling or notification routing isn’t the main focus here – it’s more about detection within a larger monitoring setup.
נקודות עיקריות:
- Anomaly detection alerts
- Full-stack monitoring integration
- Dashboards and system health views
- Logs and traces handling
- Free start option available
יתרונות:
- Comprehensive data context for alerts
- Covers wide range of technologies
- Easy to expand from monitoring
חסרונות:
- Incident response feels secondary to observability
- Can get complex with many capabilities
פרטי קשר:
- אתר אינטרנט: newrelic.com
- טלפון: (415) 660-9701
- כתובת: רחוב פיצ'טרי 1100 צפון מזרח, סוויטה 2000, אטלנטה, ג'ורג'יה 30309, ארה"ב
- לינקדאין: www.linkedin.com/company/new-relic-inc-
- פייסבוק: www.facebook.com/NewRelic
- טוויטר: x.com/newrelic
- אינסטגרם: www.instagram.com/newrelic
13. Dynatrace
Dynatrace builds observability around AI for detecting issues early and automating responses across applications, security, and infrastructure. The Davis AI engine spots potential problems with low false alerts and turns insights into actions.
Automation extends to workflows and prevention, using a data lakehouse for context. It’s strong on predictive side, though team notification channels aren’t highlighted as much as the analysis part.
נקודות עיקריות:
- AI-driven problem detection
- Automation for responses
- Contextual data unification
- Threat and log analytics
- Free trial and demo options
יתרונות:
- Reduces noise in alerts effectively
- Proactive prevention tools
- Handles complex environments
חסרונות:
- Heavy AI focus might require adjustment
- Less emphasis on basic notifications
פרטי קשר:
- אתר אינטרנט: www.dynatrace.com
- טלפון: 1-844-900-3962
- דוא"ל: dynatraceone@dynatrace.com
- כתובת: 401 Castro Street, קומה שנייה, Mountain View, CA, 94041, ארצות הברית של אמריקה
- לינקדאין: www.linkedin.com/company/dynatrace
- פייסבוק: www.facebook.com/Dynatrace
- טוויטר: x.com/Dynatrace
- אינסטגרם: www.instagram.com/dynatrace
14. Rootly
Rootly offers an incident platform built around AI for handling on-call duties and responses directly in chat apps. It automates paging, gathers context from alerts and past events, and suggests fixes through its AI SRE part for quicker troubleshooting.
Retrospectives get auto-generated timelines and summaries, while status pages update customers without manual work. The Slack and Teams integration keeps everything in familiar spots, though the AI suggestions sometimes need checking against specific setups.
נקודות עיקריות:
- AI-powered on-call scheduling
- Workflow automation in Slack/Teams
- Automated root cause suggestions
- Post-incident retrospective tools
- Customer status pages
- Free start available
יתרונות:
- Keeps collaboration in chat tools
- Automates tedious post-incident steps
- Gathers context automatically
חסרונות:
- Heavy AI reliance might require tweaks
- Paging simplification assumes chat-heavy flow
פרטי קשר:
- Website: rootly.com
- LinkedIn: www.linkedin.com/company/rootlyhq
- Twitter: x.com/rootlyhq
15. ServiceNow ITOM
ServiceNow ITOM focuses on visibility across IT environments, using AIOps to triage alerts and analyze impacts on services. It maps dependencies, discovers assets, and maintains a configuration database for understanding relationships in hybrid setups.
Automation handles essential processes, with generative AI helping operators. On-call or direct notification routing isn’t central here – it’s more about broader operations and predictive handling within the enterprise platform.
נקודות עיקריות:
- AIOps for alert triage
- Service mapping and discovery
- Configuration management database
- Certificate and firewall tracking
- Integration with third-party data
יתרונות:
- Strong in complex multistack views
- Ties alerts to business services
- Scales with enterprise needs
חסרונות:
- Feels geared toward large operations
- Incident response spread across platform
פרטי קשר:
- Website: www.servicenow.com/products/it-operations-management.html
- Address: 2225 Lawson Lane, Santa Clara, CA 95054
- לינקדאין: www.linkedin.com/company/servicenow
- פייסבוק: www.facebook.com/servicenow
- טוויטר: x.com/servicenow
- אינסטגרם: www.instagram.com/servicenow
מַסְקָנָה
Picking the right on-call and incident tool really comes down to what kind of headaches keep popping up in daily work. Some setups shine when everything happens inside chat apps with minimal context switching, others handle massive alert volumes through smart correlation and AI filtering, and a few go broader into full observability or endpoint management.
At the end of the day, the goal stays the same: get the alert to the right person fast, cut down the noise, resolve issues without burning everyone out, and learn something useful afterward. Try a couple that match current pain points, run them side by side for a bit if possible, and see which one actually makes outages feel less chaotic. The perfect fit usually shows up pretty quick once real incidents start rolling in.
