VictoriaMetrics Enterprise Alternatives

ManageEngine Site24x7 offers unified cloud monitoring for DevOps and IT operations within small to large organizations. The solution monitors the experience of real users accessing websites and applications from desktop and mobile devices. In-depth monitoring capabilities enable DevOps teams to monitor and troubleshoot applications, servers and network infrastructure, including private and public clouds. End-user experience monitoring is done from more than 100 locations across the world and various wireless carriers.

Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

IT performance monitoring is not about monitoring CPU, memory and network resources any more. eG Enterprise makes user experience the centerpiece of your IT monitoring and management strategy. With eG Enterprise, you can measure the digital experience of your users, get deep visibility into the performance the entire application delivery stack — from code to user experience, and data center to cloud — from a single pane of glass, correlate performance across domains and pinpoint the root-cause of problems proactively. Machine learning and analytics capabilities embedded in eG Enterprise enable IT teams make intelligent decisions regarding right-sizing, optimization and planning for future growth. The result: happy users, enhanced productivity, improved IT efficiency and tangible business ROI. eG Enterprise is available for installation on-premise and as a SaaS solution. Start a free trial today.

Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. Easily provision, monitor, backup and scale your open source databases with high availability, advanced security, full superuser and SSH access, query analysis, and troubleshooting support to improve the performance of your deployments. Supported databases include: - MySQL - PostgreSQL - Redis™ - MongoDB® database - Greenplum™ (coming soon) The ScaleGrid platform supports both public and private clouds, including AWS, Azure, Google Cloud Platform (GCP), DigitalOcean, Linode, Oracle Cloud Infrastructure (OCI), VMware and OpenStack. Used by thousands of developers, startups, and enterprise customers including Atlassian, Meteor, and Accenture, ScaleGrid handles all your database operations at any scale so you can focus on your application performance.

Epsagon enables teams to instantly visualize, understand and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Increase development velocity and reduce application downtime with Epsagon.

Netreo is the most comprehensive full stack IT infrastructure management and observability platform. We provide a single source of truth for proactive performance and availability monitoring for large enterprise networks, infrastructure, applications and business services. Our solution is used by: - IT Executives to have full visibility from the business service right down into the infrastructure and network that supports it. - IT Engineering departments as a decision support system for capacity planning, and architecting modern solutions. - IT Operations teams for real time visibility into what is failing in their environment, what bottlenecks exist and who it is affecting. We provide all of these insights for systems and vendor mixes in large heterogeneous and constantly evolving environments. We have an extensive and growing list of supported vendors (over 350 integrations) including network vendors, servers, storage, virtualization, cloud platforms and others.

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.

Splunk Observability Cloud is a comprehensive, real-time monitoring and observability platform designed to help organizations gain full visibility into their cloud-native environments, infrastructure, applications, and services. It combines metrics, logs, and traces into a unified solution, providing seamless end-to-end visibility across complex architectures. With its powerful analytics, AI-driven insights, and customizable dashboards, Splunk Observability Cloud helps teams quickly identify and resolve performance issues, reduce downtime, and improve system reliability. It supports a wide range of integrations and provides real-time, high-resolution data for proactive monitoring. This enables IT and DevOps teams to detect anomalies, optimize performance, and ensure the health and efficiency of their cloud and hybrid environments.

Coralogix is the leading stateful streaming platform providing modern engineering teams with real-time insights and long-term trend analysis with no reliance on storage or indexing. Ingest data from any source for a centralized platform to manage, monitor, and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Machine learning algorithms continuously observe data patterns and flows between system components and trigger dynamic alerts so you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations. Connect any data, in any format, and view your insights anywhere including our purpose-built UI, Kibana, Grafana, SQL clients, Tableau, or using our CLI and full API support. Coralogix has successfully completed relevant security and privacy compliances by BDO including GDPR, SOC 2, PCI, HIPAA, and ISO 27001/27701.

Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior.

ServiceNow Cloud Observability is a solution that provides real-time monitoring and visibility into cloud infrastructure, applications, and services. It enables organizations to proactively identify and resolve performance issues by integrating data from various cloud environments into a unified dashboard. With advanced analytics and alerting capabilities, ServiceNow Cloud Observability helps IT and DevOps teams detect anomalies, troubleshoot problems, and ensure optimal system performance. The platform also supports automation and AI-driven insights, allowing teams to respond quickly to incidents and prevent potential disruptions. Overall, it improves operational efficiency and ensures a seamless user experience across cloud environments.

The only Data Observability platform that provides complete control of enterprise data systems. Provides comprehensive, cross-sectional visibility into complex, interconnected data systems. Synthesizes signals across workloads, data quality, infrastructure and security. Improves data processing and operational efficiency. Automates end-to-end data quality monitoring for fast-changing, mutable datasets. Acceldata provides a single pane of glass to help predict, identify, and fix data issues. Fix complete data issues in real-time. Observe business data flow from a single pane of glass. Uncover anomalies across interconnected data pipelines.

VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.

Full-stack monitoring platform for your software and hardware. InsightCat is a full-stack infrastructure monitoring solution to search, analyze, and aggregate system metrics in one place. The solution was developed to be intuitive and cover the most vital requests of DevOps, System administrators, SecOps, and IT specialists related to infrastructure monitoring, security, log management, etc. The solution allows you to perform: Infrastructure monitoring. Detect anomalies within your infrastructure to eliminate them as quickly as possible and prevent the system from repeating similar issues. Synthetic monitoring. Monitor your web services around the clock and be aware in advance of the critical downtimes if they occur. Log management. Work with your log data and keep up with the root cause of any software error, within one place. Smart alerting and escalation. Set up the flexible alerting system to keep the team informed if any spikes, errors or unordinary behavior.

IBM® Instana® is the gold standard of incident prevention with automated full-stack visibility, 1-second granularity and 3 seconds to notify. With today’s highly dynamic and complex cloud environments, the average cost of an hour of downtime can reach six figures and beyond1. Traditional application performance monitoring (APM) tools simply aren’t fast enough to keep up or thorough enough to contextualize the issues identified. Also, they are typically limited to super users who must complete months of training to learn. IBM Instana Observability goes beyond traditional APM solutions by democratizing observability so anyone across DevOps, SRE, platform engineering, ITOps and development can get the data they want with the context they need. Instana automatically delivers continuous high-fidelity data at 1-second granularity and end-to-end traces with the context of logical and physical dependencies across mobile, web, applications and infrastructure.

Checkmk is a comprehensive IT monitoring system that enables system administrators, IT managers, and DevOps teams to identify issues across their entire IT infrastructure (servers, applications, networks, storage, databases, containers) and act quickly to resolve them More than 2,000 commercial customers and many more open source users worldwide use Checkmk daily. Key product features: • Service state monitoring with almost 2,000 checks 'out of the box' • Log and event-based monitoring • Metrics, dynamic graphing, and long-term storage • Comprehensive reporting incl. availability and SLAs • Flexible notifications and automated alert handling • Monitoring of business processes and complex systems • Hardware and software inventory • Graphical, rule-based configuration, and automated service discovery Top use cases: • Server Monitoring • Network Monitoring • Application Monitoring • Database Monitoring • Storage Monitoring • Cloud Monitoring • Container Monitoring

VictoriaMetrics Cloud allows users to run the Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical DevOps tasks such as proper configuration, monitoring, log collection, access protection, software updates, and backups. We run VictoriaMetrics Cloud instances in our environment on AWS and provide easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software maintenance. It comes with the following features: It can be used as a Managed Prometheus - configure Prometheus or Vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus data source in Grafana; Every VictoriaMetrics Cloud instance runs in an isolated environment, so instances cannot interfere with each other; VictoriaMetrics Cloud instance can be scaled up or scaled down in a few clicks; Automated backups;

Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging.

Glasnostic inserts agentlessly into the network data path, observes interaction patterns between services, detects anomalies, and responds with effective and predictable control primitives, in real-time and automatically. Visibility is worth little if disconnected from the action. With Glasnostic, engineers can respond to system behaviors in real-time and proactively. Glasnostic inserts transparent controllers into the network data plane, which collectively act as a brain-in-the-wire that detects and responds to behaviors in real-time. Interaction metrics are sent to the control plane for storage, anomaly detection, and automated or manual control. Glasnostic works with all major cloud technologies and integrates with existing tools from AIOps to workflow and security tools via APIs and webhooks. Glasnostic works with all major technology stacks. View system behaviors holistically, uniformly, and everywhere.

The Observer Platform is a comprehensive network performance monitoring and diagnostics (NPMD) solution ideal for maintaining peak performance of all IT services. Designed as an integrated offering, the Observer Platform provides visibility into critical KPIs through pre-defined workflows from high-level dashboards to service anomaly root cause. Ideally suited to satisfying business goals and overcoming challenges across the entire IT enterprise life cycle whether deploying new technologies, managing current resources, solving service anomalies, or optimizing IT asset usage. The Observer Management Server (OMS) UI is a cyber security tool that features simple navigation to easily authenticate security threats, control user access and password data, administer web application upgrades, and streamline management tools from a single, centralized location.

Self-hosted software for on-prem and hybrid IT environments, with flexible licensing for distributed teams. SolarWinds Observability is designed to help organizations ensure availability and reduce remediation time across on-premises and hybrid cloud environments by increasing visibility, intelligence, and productivity. Transform disconnected data into focused, actionable insights across complex hybrid environments and reduce the number of tools you need for hybrid IT visibility. Quiet alert noise to pinpoint the source of problems faster with anomaly-based alerting powered by our cloud-based AIOps service enhanced with machine learning. Unlock visibility across on-prem and hybrid environments to preemptively detect and address issues with flexible, agent-based, agentless, and API-sourced metrics. Simplified licensing, enterprise-scale with included polling engines, and the flexibility to allocate nodes across instances with a single license.

Thundra is a developer platform company that empowers application teams to develop, debug, test, and monitor modern microservices on the cloud. By offering everything from automated instrumentation to cloud debugging and test optimization in a single platform, Thundra eliminates the need for multiple tools for pre-production and production environments

Provides monitoring of all mission-critical infrastructure components including applications, services, operating systems, network protocols, systems metrics, and network infrastructure. Hundreds of third-party addons provide for monitoring of virtually all in-house applications, services, and systems. Provides a central view of your entire IT operations network and business processes. Powerful dashboards provide at-a-glance access to powerful monitoring information and third-party data. Views provide users with quick access to the information they find most useful. Automated, integrated trending and capacity planning graphs allow organizations to plan for infrastructure upgrades before outdated systems catch them by surprise. Alerts are sent to IT staff, business stakeholders, and end-users via email or mobile text messages, providing them with outage details so they can start resolving issues immediately.

VictoriaMetrics is a fast and scalable open source time series database and monitoring solution. It's designed to be user-friendly, allowing users to build a monitoring platform without scalability issues and with minimal operational burden. VictoriaMetrics is ideal for solving use cases with large amounts of time series data for IT infrastructure, APM, Kubernetes, IoT sensors, automotive vehicles, industrial telemetry, financial data, and other enterprise-level workloads. VictoriaMetrics is powered by several components, making it the perfect solution for collecting metrics (both push and pull models), running queries, and generating alerts. With VictoriaMetrics, you can store millions of data points per second on a single instance or scale to a high-load monitoring system across multiple data centers. Plus, it's designed to store 10x more data using the same compute and storage resources as existing solutions, making it a highly efficient choice.

Enterprise observability for all your teams at scale. Most traditional tools detect simple threshold-based anomalies, making it difficult to distinguish false alarms from real issues. With VMware Tanzu Observability by Wavefront, you create smart alerts that dynamically filter noise and capture true anomalies. Troubleshooting distributed cloud applications is not trivial due to many moving parts, application dependencies, and frequent code updates. Wavefront collects all metrics in one place from your applications, clouds, and infrastructure. Finding a needle in the haystack is not easy when dealing with distributed cloud applications and containerized microservices emitting thousands of metrics. AI Genie™ helps you automatically identify “unknown unknowns” so you can quickly get to root incident root cause – isolate applications, infrastructure, cloud, and edge.

Squash latencies, detect bottlenecks, and debug errors. Join a rapidly expanding community of businesses from around the world, that are achieving 20X value and ROI by adopting KloudMate, compared to any other observability platform. Quickly monitor crucial metrics, and dependencies, and detect anomalies through alarms and issue tracking. Instantly locate ‘break-points’ in your application development lifecycle, to proactively fix issues. View service maps for every component in your application, and uncover intricate interconnections and dependencies. Trace every request and operation, providing detailed visibility into execution paths and performance metrics. Whether it's multi-cloud, hybrid, or private architecture, access unified Infrastructure monitoring capabilities to monitor metrics and gather insights. Supercharge debugging speed and precision with a complete system view. Identify and resolve issues faster.

Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.

BMC Helix Operations Management is a fully integrated, cloud-native, observability and AIOps solution designed to tackle challenging hybrid-cloud environments. Take a service-centric approach to observability data for truly effective AIOps. Combine 3rd party observability data such as metrics, events, logs, incidents, changes and topologies into a central IT data store. See service health and enable best-in-class root cause isolation via auto-generated dynamic business service models. Improve signal-to-noise ratio with AI event suppression, de-duplication, and correlation to create actionable situations. Gain immediate root cause isolation through AI probability assignments to causal nodes using data and service models. Prevent issues before they occur with Business Service Health monitoring and AI outage prediction. Troubleshoot rapidly with log enrichment and analytics. Easily request and execute automations from BMC or 3rd party tools.

Innovate faster in the cloud, elevate user experience and future-proof your applications. Built for the cloud-native enterprise, Splunk helps you solve modern issues. Detect any issue before it turns into a customer problem. Reduce MTTR with our real-time, AI-driven Directed Troubleshooting. Flexible, open-source instrumentation eliminates lock-in. Maximize performance by seeing everything in your application, and act on AI-driven analytics. To deliver a flawless end-user experience, you need to observe everything. With NoSample™ full-fidelity trace ingestion, leverage all your trace data to identify any anomaly. Reduce MTTR with Directed Troubleshooting to quickly understand service dependencies, correlation with underlying infrastructure and root-cause error mapping. Breakdown and explore any transaction by any metric or dimension. Quickly and easily understand how your application behaves for different regions, hosts, versions or users.

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.

Linkerd adds critical security, observability, and reliability features to your Kubernetes stack—no code change required. Linkerd is 100% Apache-licensed, with an incredibly fast-growing, active, and friendly community. Built in Rust, Linkerd's data plane proxies are incredibly small (<10 mb) and blazing fast (p99 < 1ms). No complex APIs or configuration. For most applications, Linkerd will “just work” out of the box. Linkerd's control plane installs into a single namespace, and services can be safely added to the mesh, one at a time. Get a comprehensive suite of diagnostic tools, including automatic service dependency maps and live traffic samples. Best-in-class observability allows you to monitor golden metrics—success rate, request volume, and latency—for every service.

Drive transformation with 360° observability over your whole IT environment. VirtualMetric is a completely agentless solution that is easy to deploy, easy to use and easy to scale. VirtualMetric is an all-in-one infrastructure monitoring suite ensuring the health and reliability of your IT environment. Get 360 ° observability, smart alarms, predictive analysis and AI capabilities to ensure the stress-free management of your infrastructure. VirtualMetric is a full stack monitoring and reporting software for your bare metal servers and virtualization. The all-in-one monitoring suite covers fully your whole IT stack and monitoring needs. Fast root-cause analysis of infrastructure issues, improved performance and infrastructure health. Centralized management suite, which is easy to use and will save you time and money. VirtualMetric’s performance counters are in real-time and provide you with full visibility over your servers, virtual machines and inventory.

dbForge Monitor is a free solution designed to provide comprehensive information about SQL Server performance in real time. It delivers detailed statistics on all essential parameters and specific information for quick identifying and resolving problems. Key Features: - Real-time monitoring for all SQL Server activities, including currently logged users and their applications - Analytical dashboard with a rich collection of metrics - Detecting and optimizing the most expensive queries - Heavy query display, including query text and profiling information - Backup process tracing with key statistics - Detailed statistics about data input/output operations - Summary statistics for all SQL Server databases with essential metrics - Quick identification of resources that are slowing down the server The goal of tool is to provide a comprehensive overview of all servers, databases, and queries, thereby saving many hours of manual work for database specialists.

SQL Inventory Manager helps database administrators to manage SQL Server inventory and assets in physical, virtual, and cloud environments. Unlike its competition, it provides automatic discovery of SQL Server instances, databases, and analysis services in the network, protection against back level versions and missing security patches, confirmation that instance growth meets your license commitments, quick display of server details to determine license cost, monitor instance health, gathering of hardware, operating system, instance and database configuration details, pre-defined and customizable licensing, inventory, chargeback and health reports, and tags and filters to simplify organization of instances and databases.

Zabbix is the ultimate enterprise-level software designed for real-time monitoring of millions of metrics collected from tens of thousands of servers, virtual machines and network devices. Zabbix is Open Source and comes at no cost. Detect problem states within the incoming metric flow automatically. No need to peer at incoming metrics continuously. The native web interface provides multiple ways of presenting a visual overview of your IT environment. Save yourself from thousands of repetitive notifications and focus on root causes of a problem with Zabbix Event correlation mechanism. Automate monitoring of large, dynamic environments.Build distributed monitoring solution while keeping centralized control. Integrate Zabbix with any part of your IT environment. Get access to all Zabbix functionality from external applications through Zabbix API.

Access SQL Planner application from any device, anywhere and manage your SQL server (Automation of SQL health analysis, monitoring, alerts, backup and validation, index de-fragmentation, stats maintenance, automation) with ease. SQL Planner can be installed on your local machine having Microsoft windows operating system, and provide SQL server credential (ensure it has Server view state permission or higher privilege, preferably Sysadmin) which has to be monitored or analyzed for health. SQL Planner starts collecting performance and server usage data very efficiently, ensuring your SQL runs smoothly, it also alerts you by email on several critical factor when encountered such as continuous high CPU, RAM, disk usage, database or drive space usage etc. SQL Planner instance can be used from browser (Firefox Mozilla preferred).

We provide business insights and expertise from our business consultants, through our core capabilities of cloud-using technology, to help your organizations make better-informed decisions for productive and profitable results. Our digital services data platform incorporates continuous intelligence that uses real-time context data to migrate, modernize and manage multi-cloud for their organization. Allows you to easily migrate physical, virtual, and cloud workloads to and from any environment with minimal risk and near-zero downtime with finely tuned automation at every stage of the process. Automatically and securely copies data Backup your all files or capture changes to one of our cloud storage data centers. Enables and manages two-speed information technology consumption, DevOps, and monitoring with cloud transparency around AWS, Google, and IBM across asset usage and costs. Certified experts across multi-cloud (AWS, Azure, Google, IBM) and next-generation tools.

Precise for Databases helps database administrators to find and fix database performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides deep database optimization, isolation of problems and causes, scalable deployment, what-if analysis for changes, and history, trending, and planning. Precise for Databases ensures that databases perform at peak efficiency. It captures, measures, and correlates performance metrics from all critical components of the system. It then detects and corrects the root cause of database and transaction performance problems before they become noticeable for databases and their related applications. Monitor Microsoft SQL Server, Oracle Database, IBM Db2, and SAP Sybase ASE. For each of these database platforms, the interface of Precise looks and behaves the same to minimize the learning curve. Precise for Databases samples the monitored databases once per second or more frequently, has low overhead (typically 1%).

Percona Monitoring and Management (PMM) is a free, best-of-breed, open source database monitoring and management solution. It helps enterprises reduce complexity and simplify management, while optimizing performance and improving the security of your business-critical database environments, no matter where they are located - on-premises or in the cloud. It provides thorough time-based analysis for MySQL, PostgreSQL and MongoDB servers to ensure that your data works as efficiently as possible. PMM allows you to identify the issues that impact your business, fast! Our single platform simplifies management and reduces complexity. It helps you optimize your database by allowing you to easily find, fix, and prevent issues with scaling, bottlenecks and potential outages. Our innovative tools improve data security and reduce your risk of data exposure. PMM is used by thousands of organizations around the globe to manage their complex database environments.

Grafana Phlare lets you aggregate continuous profiling data with high availability, multi-tenancy, and durable storage. This helps you get a better understanding of resource usage in your applications down to the line number. Grafana Phlare is an open source database that provides fast, scalable, highly available, and efficient storage and querying of profiling data. The idea behind Phlare was sparked during a company-wide hackathon at Grafana Labs. The project was announced in 2022 at ObservabilityCON. The mission for the project is to enable continuous profiling at scale for the open source community, giving developers a better understanding of resource usage of their code. By doing so, it allows users to understand their application performance and optimize their infrastructure spend.

Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues.

Built on the open-source framework OpenTelemetry, TelemetryHub is the ultimate application monitoring tool with correlated logs and metrics. TelemetryHub provides a single pane of glass for all logs, metrics, and tracing data. A Simple, out-of-the-box observability tool that visualizes all your system telemetry data in a consumable format with no proprietary agent that results in vendor lock-in.

Connect, secure, monitor and manage (CSM2) your distributed enterprise edge with centralized observability and analytics. Discover and remediate issues faster to ensure greater uptime, performance and security. Open microservices architecture gives you everything you need to manage your distributed enterprise edge.

Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.

Langtrace is an open source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. Langtrace ensures the highest level of security. Our cloud platform is SOC 2 Type II certified, ensuring top-tier protection for your data. Supports popular LLMs, frameworks, and vector databases. Langtrace can be self-hosted and supports OpenTelemetry standard traces, which can be ingested by any observability tool of your choice, resulting in no vendor lock-in. Get visibility and insights into your entire ML pipeline, whether it is a RAG or a fine-tuned model with traces and logs that cut across the framework, vectorDB, and LLM requests. Annotate and create golden datasets with traced LLM interactions, and use them to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process.

LOGIQ.AI’s LogFlow provides centralized control of your observability data pipelines. As data streams arrive, they are automatically organized and optimized for your business teams and knowledge workers. XOps teams can centralize data flow management, gain data EPS control, and increase data quality and relevance. Built on any object store, LogFlow’s InstaStore enables infinite data retention and on-demand data replay to any target observability platform of your choice. Analyze operational metrics across applications and infrastructure and gain actionable insights that help you scale with confidence while maintaining high availability. Fuel business decisions and better user experiences by collecting, transforming, and analyzing behavioral data and usage patterns from business systems. Don’t let new attack techniques catch you off guard. Detect and analyze threat patterns from multiple sources and automate threat prevention and remediation.

Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/

We know engineers love open source. So we supercharged the best open source monitoring tools — including ELK, Prometheus, and Jaeger, and unified them on a scalable SaaS platform. Collect and analyze your logs, metrics, and traces on one unified platform for end-to-end monitoring. Visualize your data on easy-to-use and customizable monitoring dashboards. Logz.io’s human-coached AI/ML automatically uncovers errors and exceptions in your logs. Quickly respond to new events with alerting to Slack, PagerDuty, Gmail, and other endpoints. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs and traces. Add just three lines of code to your Prometheus config files to begin forwarding your metrics to Logz.io for storage and analysis. Quickly respond to new events by alerting Slack, PagerDuty, Gmail, and other endpoints. Logz.io’s human-coached AI/ML automatically uncovers errors and exceptions in your logs.