Best Root Cause Analysis Software for Microsoft Azure

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

IT-Conductor is a service orchestration and automation platform that provides in-depth application performance management of SAP® ecosystems and infrastructure components, along with the following advanced features: - Integrated monitoring and automation framework supporting manual, triggered, or scheduled execution of jobs, tasks, and process workflows - Time-synchronized data for effective correlation, root-cause analysis, and analytics - Comprehensive metrics monitoring and reporting - Role-based dashboards for personalized insights - Highly flexible SAP Service Level Reporting - Seamless integration with SAPGUI

FusionReactor can quickly identify bottlenecks in your Java or ColdFusion app, as well as in your server and database. This will make your Java or ColdFusion applications run more efficiently and faster. The integrated production safe Debugger allows you to quickly identify bugs and reduce technical debt, allowing you to spend more time writing better code. FusionReactor continuously monitors your app and database. If an error occurs, an automatic root cause analysis will trigger. You will immediately be notified of the location. You don't have to look for the needle anymore. You can immediately fix the problem. Free trial available see https://www.fusion-reactor.com/start-free-trial/ You'll find all the APM features that you want, plus some new features that you didn’t know existed. FusionReactor is a revolutionary APM tool that will allow you to keep production systems online for longer and produce better results.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Komodor simplifies K8s troubleshooting and gives you all the tools you need to solve the problem with confidence. Komodor monitors all of your k8s stack and identifies problems. It then uncovers the root cause and provides you with the context you need. Komodor can automatically identify k8s problems, such as failed deployments, misconfigurations and bottlenecks. Identify emerging problems before they spread and affect end-users. Pre-made playbooks can be used to simplify root cause analysis, avoid disruptive escalations, and save valuable time. Give your teams clear instructions for troubleshooting that will turn every responder into an expert.

Longbow automates analysis and correlation between issues from Application Security Testing Tools (AST) to CNAPP. This closes the gap between remediation teams and security teams, and provides the best next steps to reduce risk with the least investment. Longbow is at the forefront in automatically analyzing and prioritizing issues and remediation from Application Security Testing Tools (AST) to VM, CNAPP, and more. Our product excels at identifying and addressing root causes of security problems, offering tailored remediation options that can be implemented immediately. This capability is vital in an industry that is flooded with disparate vendor eco-systems and lacks a clear direction to address security concerns. Our product is designed for security, application and DevOps team members to be able to mitigate risks efficiently at scale.

Our graph-based technology, which is patent-pending, allows proactive detection and remediation for known and unknown threats. We empower your teams to address all threats to your cloud stack, no matter if it's a weak configuration, misconfiguration, policy violation, or CVE. Your team can concentrate on the most important issues by prioritizing the most critical issues. Our root cause analysis drastically reduces the number and general findings. This allows teams to focus on the most important issues. While you work towards digital transformation, protect your cloud environment. It integrates seamlessly into your existing workflow and correlates between Kubernetes layers to the cloud layer. You can quickly assess your cloud environment by using well-known cloud vendor APIs, starting at the infrastructure level and ending at the microservice level.