Best Observability Tools in the Middle East - Page 2

We have encountered numerous data teams grappling with dysfunctional dashboards, inadequately trained machine learning models, and unreliable analytics — and we understand the struggle firsthand. This issue, which we refer to as data downtime, results in restless nights, revenue loss, and inefficient use of time. It's time to stop relying on temporary fixes and to move away from outdated data governance tools. With Monte Carlo, data teams gain the upper hand by quickly identifying and addressing data issues, which fosters stronger teams and generates insights that truly drive business success. Given the significant investment you make in your data infrastructure, you cannot afford the risk of dealing with inconsistent data. At Monte Carlo, we champion the transformative potential of data, envisioning a future where you can rest easy, confident in the integrity of your data. By embracing this vision, you enhance not only your operations but also the overall effectiveness of your organization.

Effortlessly monitor thousands of tables through machine learning-driven anomaly detection alongside a suite of over 50 tailored metrics. Ensure comprehensive oversight of both data and metadata while meticulously mapping all asset dependencies from ingestion to business intelligence. This solution enhances productivity and fosters collaboration between data engineers and consumers. Sifflet integrates smoothly with your existing data sources and tools, functioning on platforms like AWS, Google Cloud Platform, and Microsoft Azure. Maintain vigilance over your data's health and promptly notify your team when quality standards are not satisfied. With just a few clicks, you can establish essential coverage for all your tables. Additionally, you can customize the frequency of checks, their importance, and specific notifications simultaneously. Utilize machine learning-driven protocols to identify any data anomalies with no initial setup required. Every rule is supported by a unique model that adapts based on historical data and user input. You can also enhance automated processes by utilizing a library of over 50 templates applicable to any asset, thereby streamlining your monitoring efforts even further. This approach not only simplifies data management but also empowers teams to respond proactively to potential issues.

SolarWinds®, AppOptics™, is a SaaS-based infrastructure and application monitoring tool for custom-built on-premises, hybrid, and cloud systems. AppOptics reduces MTTR by allowing quick identification of performance issues across the stack, from the application to the underlying infrastructure down to the line code. AppOptics was designed to be easy to use and set up by IT professionals. It has powerful features that quickly and automatically identify performance issues, eliminating the guesswork and reducing the time spent on troubleshooting. AppOptics allows you to align infrastructure and performance objectives with business objectives.

VirtualMetric is a comprehensive data monitoring solution that provides organizations with real-time insights into security, network, and server performance. Using its advanced DataStream pipeline, VirtualMetric efficiently collects and processes security logs, reducing the burden on SIEM systems by filtering irrelevant data and enabling faster threat detection. The platform supports a wide range of systems, offering automatic log discovery and transformation across environments. With features like zero data loss and compliance storage, VirtualMetric ensures that organizations can meet security and regulatory requirements while minimizing storage costs and enhancing overall IT operations.

Logit.io are a centralized logging and metrics management platform that serves hundreds of customers around the world, solving complex problems for FTSE 100, Fortune 500 and fast-growing organizations alike. The Logit.io platform delivers you with a fully customized log and metrics solution based on ELK, Grafana & Open Distro that is scalable, secure and compliant. Using the Logit.io platform simplifies logging and metrics, so that your team gains the insights to deliver the best experience for your customers.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

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

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. 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. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts 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.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

Monitor expenses, usage, and latency for GPT applications seamlessly with just one line of code. Renowned organizations that leverage OpenAI trust our service. We are expanding our support to include Anthropic, Cohere, Google AI, and additional platforms in the near future. Stay informed about your expenses, usage patterns, and latency metrics. With Helicone, you can easily integrate models like GPT-4 to oversee API requests and visualize outcomes effectively. Gain a comprehensive view of your application through a custom-built dashboard specifically designed for generative AI applications. All your requests can be viewed in a single location, where you can filter them by time, users, and specific attributes. Keep an eye on expenditures associated with each model, user, or conversation to make informed decisions. Leverage this information to enhance your API usage and minimize costs. Additionally, cache requests to decrease latency and expenses, while actively monitoring errors in your application and addressing rate limits and reliability issues using Helicone’s robust features. This way, you can optimize performance and ensure that your applications run smoothly.

Scalyr is the log management platform and observability platform for new stack. Scalyr was designed to deal with the complexity and scale of modern cloud architectures. It allows engineers to quickly solve problems and concentrate on what they love, coding. Scalyr has made logs a benefit with 96% of searches being completed in less than one second and thousands upon thousands of active users. Scalyr's rapidly growing customer base includes NBCUniversal and Business Insider as well as Valentino, Giphy and Zalando. The company is the best-rated in its category in G2 Crowd and is a Gartner 2018 cool vendor. It was also named a 2018 Forbes Cloud 100 Rising Star. Visit us at www.scalyr.com or follow us on Twitter (@scalyr).

LogicMonitor is the leading SaaS-based, fully-automated observability platform for enterprise IT and managed service providers. Cloud-first and hybrid ready. LogicMonitor helps enterprises and managed service providers gain IT insights through comprehensive visibility into networks, cloud, applications, servers, log data and more within one unified platform. Drive collaboration and efficiency across IT and DevOps teams, in a fully secure, intelligently automated platform. By providing end-to-end observability for enterprise businesses, LogicMonitor connects coders to consumers, customer experience to the cloud, infrastructure to applications and business insights into instant actions. Maximize uptime, optimize end-user experience, predict what comes next, and keep your business fearlessly moving forward.

Gather, transform, and direct all your logs and metrics with a single, user-friendly tool. Developed in Rust, Vector boasts impressive speed, efficient memory utilization, and is crafted to manage even the most intensive workloads. The aim of Vector is to serve as your all-in-one solution for transferring observability data from one point to another, available for deployment as a daemon, sidecar, or aggregator. With support for both logs and metrics, Vector simplifies the process of collecting and processing all your observability information. It maintains neutrality towards specific vendor platforms, promoting a balanced and open ecosystem that prioritizes your needs. Free from vendor lock-in and designed to be resilient for the future, Vector’s highly customizable transformations empower you with the full capabilities of programmable runtimes. This allows you to tackle intricate scenarios without restrictions. Understanding the importance of guarantees, Vector explicitly outlines the assurances it offers, enabling you to make informed decisions tailored to your specific requirements. In this way, Vector not only facilitates data management but also ensures peace of mind in your operational choices.

After a few late-night code fires, we set out to find application performance management tools that would help us stop them. We were able to identify what was wrong, but it didn't tell us why or how to prevent future failures. Retrace was created to do just that. We believe that when our 1300+ customers spend less of their time fighting technology, they spend more time releasing it. This makes the world a better place.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

Thundra helps application teams to develop, debug, test, and monitor modern microservices on the cloud. By offering everything from automated instrumentation to cloud app debugging and test optimization in a single platform, Thundra eliminates the need for multiple tools for pre-production & production environments. Thundra offers 2 products: Thundra Foresight, to help you monitor & troubleshoot your CI workflows & tests. The second product is Thundra APM, which is an application performance monitoring for serverless and containers.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fsourceforge.net%2Fprojects%2Fprometheus.mirror%2F

Gearset is a full‑featured Salesforce DevOps solution built for the enterprise, giving teams the tools to adopt best practices across every stage of the DevOps lifecycle. From metadata and CPQ deployments to CI/CD, testing, code analysis, sandbox seeding, backups, archiving, and observability, Gearset gives teams unmatched insight and control over their Salesforce workflows. Over 3,000 organizations — including names like McKesson and IBM — rely on Gearset to deliver with security and scale in mind. With advanced governance, detailed audit trails, SOX/ISO/HIPAA support, multi‑team pipelines, integrated security checks, and adherence to ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset combines enterprise‑ready compliance with rapid onboarding and an intuitive interface — all in one platform. Leading firms in finance, healthcare, and tech trust Gearset to power their DevOps initiatives without adding complexity.

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

You've adopted cloud architecture, yet its intricate nature poses challenges for effective monitoring. The IBM Cloud Monitoring service offers a fully managed solution designed specifically for administrators, DevOps teams, and developers alike. Anticipate in-depth visibility into containers and an array of comprehensive metrics. By utilizing this service, you can lower costs while empowering your DevOps teams and improving the management of the software lifecycle. Set up a cluster to relay metrics to the IBM Cloud Monitoring service seamlessly within the IBM Cloud environment. This enhancement boosts the productivity of system administrators, DevOps professionals, and developers, providing timely notifications regarding various metrics and events. Leverage intuitive dashboards that allow you to assess the health of your entire infrastructure effortlessly. Moreover, you can dynamically discover applications, containers, hosts, and networks while displaying content and controlling access based on specific users or teams. Additionally, configure an Ubuntu host to send metrics directly to the IBM Cloud Monitoring service, ensuring thorough cloud monitoring and troubleshooting across your infrastructure, cloud services, and applications. Ultimately, this service is essential for maintaining optimal performance and reliability in complex cloud environments.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

Built on the open-source framework OpenTelemetry, TelemetryHub is the ultimate observability guide, providing data in a single pane of glass for all logs, metrics, and tracing data. A simple, reliable full-stack application monitoring tool that visualizes your complex telemetry data in a consumable format with no propriety configuration or customizations required. TelemetryHub is an easy-to-use and affordable full-stack observability solution provided by Scout APM, an established Application Performance Monitoring tool.

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

Utilize the Oracle Cloud Observability and Management Platform to oversee, evaluate, and regulate multi-cloud applications and infrastructure with comprehensive visibility, integrated analytics, and automated solutions. Achieve total insight via infrastructure tracking, real user experience assessments, synthetic monitoring, and distributed tracing technologies. Expedite issue identification and resolution by leveraging data from diverse sources with user-friendly, interactive dashboards. Implement unified monitoring, capacity planning, and database management functionalities for both on-premises and cloud-based databases. Effectively deploy and oversee Oracle Cloud resources through Terraform-driven automation while managing data transfers seamlessly. Attain thorough application performance insights through real user experiences, synthetic observations, and distributed tracing methods. Streamlined database monitoring and administration capabilities enhance efficiency for both on-premises and cloud databases. Additionally, quickly analyze log information, troubleshoot challenges, and set up alerts using customizable triggers for proactive management and response. This comprehensive approach ensures that organizations can maintain optimal performance across all their cloud environments.