Best Observability Tools in Australia

All your logs and metrics can be gathered, transformed, and routed with one tool. Vector, a Rust-based tool, is lightning fast and memory efficient. It can handle even the most challenging workloads. Vector is the only tool you will need to get observability information from A to B. It can be deployed as a sidecar, daemon, or aggregator. Vector supports metrics and logs, making it easy for you to collect and process all your observation data. Vector does not favor any particular vendor platform and promotes an open, fair ecosystem that serves your best interests. Future proof and lock-in-free. Vector's configurable transforms allow you to harness the power of programmable runtimes. You can handle complex use cases without limitations. Vector understands that guarantees are important and can help you choose the right trade-offs for your particular use case.

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.

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.

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.

Secure and observability SaaS platform that charges per-use for containers, Kubernetes and the cloud. Live view of dependencies and how services communicate with each other in multi-cluster, hybrid, and multi-cloud environments. You can eliminate the setup and onboarding steps, and you can troubleshoot any Kubernetes security or observability issues in minutes. Calico Cloud is a next generation security and observability SaaS platform that supports containers, Kubernetes and cloud. It allows organizations of all sizes and budgets to protect their cloud workloads, containers, detect threats, maintain compliance, and troubleshoot issues in real time across multi-cluster, hybrid, and multi-cloud deployments. Calico Cloud is built upon Calico Open Source, which is the most widely used container networking and security solution. Instead of managing a platform that provides Kubernetes security or observability, teams can use it as a managed service to speed up analysis, relevant actions, and so on.

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.

Prefix with OpenTelemetry is a great way to optimize app performance. OTel Prefix, the latest open-source observability standard, streamlines application development by allowing for universal telemetry data input, unmatched observability and extended language support. OTel Prefix gives developers the power of OpenTelemetry, supercharging the performance optimization of your entire DevOps Team. OTel Prefix's unmatched observability in new technologies, frameworks and architectures simplifies code development, app creation and ongoing performance optimization of your apps for you and your team. Summary Dashboards are available, as well as distributed tracing and smart suggestions. Prefix also offers developers the ability to jump between logs and traces.

One line of code allows you to track costs, usage and latency in GPT applications. OpenAI is trusted by leading companies. Soon, we will support Anthropic Cohere Google AI and more. Keep track of your costs, usage and latency. Integrate models such as GPT-4 and Helicone to track requests for APIs and visualize results. Dashboards for generative AI applications are available to give you an overview of the application. All of your requests can be viewed in one place. Filter by time, user, and custom properties. Track spending for each model, user or conversation. This data can be used to optimize API usage and reduce cost. Helicone can cache requests to reduce latency and save money. It can also be used to track errors and handle rate limits.

Zenoss Cloud, the first SaaS-based intelligent IT operation management platform, streams and normalizes all machine information. This unique feature allows for the creation of context to prevent service disruptions in complex, modern IT environments. Zenoss allows enterprises to focus on their business growth by removing the burden of managing operations and architecture. Zenoss helps organizations eliminate infrastructure blindspots, predict business service impacts before they cause outages, and respond faster to incidents -- whatever size the business requires.

Lightstep's mission, to provide confidence at scale for developers, operators, and users of today's powerful software applications is to help them succeed. Every dependency. Every deploy. Every regression. The world's best tracing software lets you see it all. Open standards like OpenTelemetry, OpenTracing and OpenTelemetry were co-founded by us to allow developers to access portable, vendor-neutral data in telemetry. You can now get started in as little time as it takes to microwave a burrito. Yes, that's right. Lightstep automatically analyzes all of your unsampled events data in seconds and identifies the probable root cause, no matter how specific or rare.

Uptycs presents the first unified CNAPP and XDR platform that enables businesses to take control of their cybersecurity. Uptycs empowers security teams with real-time decision-making driven by structured telemetry and powerful analytics. The platform is designed to provide a unified view of cloud and endpoint telemetry from a common solution, and ultimately arm modern defenders with the insights they need across their cloud-native attack surfaces. Uptycs prioritizes responses to threats, vulnerabilities, misconfigurations, sensitive data exposure, and compliance mandates across modern attack surfaces—all from a single UI and data model. This includes the ability to tie together threat activity as it traverses on-prem and cloud boundaries, delivering a more cohesive enterprise-wide security posture. With Uptycs you get a wide range of functionality, including CNAPP, CWPP, CSPM, KSPM, CIEM, CDR, and XDR. Shift up with Uptycs.

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

Epsagon allows 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. Epsagon can increase development speed and reduce application downtime.

Open-source monitoring solutions are able to power your alerting and metrics. Prometheus stores all data in time series. These are streams of timestamped value belonging to the same metric with the same labeled dimensions. Prometheus can also generate temporary derived times series as a result of queries. Prometheus offers a functional query language called PromQL, which allows the user to select and aggregate time series data real-time. The expression result can be displayed as a graph or tabular data in Prometheus’s expression browser. External systems can also consume the HTTP API. Prometheus can be configured using command-line flags or a configuration file. The command-line flags can be used to configure immutable system parameters such as storage locations and the amount of data to be kept on disk and in memory. . Download: https://sourceforge.net/projects/prometheus.mirror/

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.

The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.

The cloud-native apps you use today have an order of magnitude higher number of dependencies, ephemerality and releases. APM and proprietary monitoring were created in the era monolithic apps and static infrastructure. They are costly, intrusive, siloed and generate more noise than their value. Although open source and cloud-based monitoring tools provide a solid foundation, they require highly skilled engineers to integrate and maintain the data. Your journey to modern infrastructure is pushing the boundaries of your monitoring framework. It's time to try a new approach. OpsCruise is here! OpsCruise's deep knowledge of Kubernetes combined with our unique ML-based behavior profiling allows your entire team to instantly spot performance degradations and predict their cause. It's a third the cost of current monitoring and you don't have to instrument code, deploy agents or maintain open-source software.

With full-stack visibility and prebuilt analytics, you can monitor, analyze, and manage multicloud applications and infrastructure environments. Automation is possible with Oracle Cloud Observability Management Platform. You have complete visibility through infrastructure monitoring, real user experience and distributed tracing. You can quickly monitor and troubleshoot problems faster using interactive, intuitive dashboards that analyze data from any source. Unified monitoring, capacity planning and database administration capabilities for both on-premises as well as cloud databases. Terraform-based automation allows you to deploy and manage Oracle Cloud resources. You can also manage data exchanges. App performance visibility is achieved through real user experience, synthetic monitoring and distributed tracing. Unified database monitoring and administration capabilities, both for cloud and on-premise databases. You can easily review log data and diagnose issues.

Glasnostic inserts itself agentlessly into the network data pathway, observes interaction patterns among services, detects anomalies and responds in real-time with predictable and effective control primitives. If you are not connected to the action, visibility is useless. Glasnostic allows engineers to respond in real-time to system behavior and proactively. Glasnostic inserts transparent controllers in the network data plane. These controllers act as a brain within the wire that responds to and detects behaviors in real time. Interaction metrics are sent from the control plane to the control plane for storage and anomaly detection. They can also be used for manual or automated control. Glasnostic integrates with all major cloud technologies. It can also integrate with existing tools, from AIOps to workflows and security tools via webhooks and APIs. Glasnostic can work with all major technology stacks. System behaviors can be viewed holistically, uniformly, everywhere.

Our pre-built dashboards work and allow you to monitor your cluster's health and troubleshoot problems faster. Our clear pricing makes it easy for you to get started right away. ContainIQ deploys three agents inside your cluster. One replica deployment collects metrics and events using Kubernetes API. Two additional daemon sets collect logs from all your pods/containers. The second collects latency information for each pod on that node. Monitor latency by microservice or by path, including p95 and p99, average and RPS. It works instantly without the need for middleware or application packages. Set up alerts for significant changes. You can search functionality, filter by date range and view data over time. View all incoming and outgoing requests along with metadata. Graph P99,P95, average latency and error rate over time for each URL. For debugging problems when they arise, correlate logs are useful.

Chaos Genius is a DataOps platform for Snowflake. Snowflake Observability can be enabled to optimize query performance and reduce Snowflake costs.

End-to-end monitoring platform that will help you gain insights, protect assets, and troubleshoot transactions in your decentralized applications. Our SDK is type-safe and easy to use. It can be used to collect and transform data using smart contracts' transactions, events, traces, states, and traces. The versioned data can be quickly and easily iterated. With powerful transformation and aggregation capabilities, you can create low-code dashboards in seconds. Visualize metrics and zoom in and out at various times. You can set up real-time alerts that notify your team via Slack and Telegram, Email, webhook, and Telegram so you can quickly react to critical events. Structured logs can be searched and accessed from real-time dashboards. Sentio's mission will be to accelerate DApp proliferation through the provision of the best and most battle-tested infrastructure, tools, and philosophy to the crypto community. Register your email to receive updates on our launch and early access to our beta version.

AI-powered cloud observation platform. Middleware platform helps you identify, understand and resolve issues across your cloud infrastructure. AI will detect and diagnose all issues infra, application and infrastructure and provide better recommendations for fixing them. Dashboard allows you to monitor metrics, logs and traces in real time. The best and fastest results with the least amount of resources. Bring all metrics, logs and traces together into a single timeline. A full-stack platform for observability will give you complete visibility into your cloud. Our AI-based algorithms analyze your data and make suggestions for what you should fix. Your data is yours. Control your data collection, and store it in your cloud to save up to 10x the cost. Connect the dots to determine where the problem began and where it ended. Fix problems before users report them. The users get a comprehensive solution for cloud observability at a single location. It's also too cost-effective.

Open source continuous profiling. Find and debug the most painful performance issues in code, infrastructure, and CI/CD pipelines. You can tag your data according to the dimensions that are important to your organization. You can store large volumes of high-cardinality profiling information efficiently and cheaply. FlameQL allows you to create custom queries that select and aggregate profiles quickly for easy analysis. Our suite of profiling software allows you to analyze application performance profiles. Understand CPU and memory resource usage at any time to identify performance issues before your customers do. Store, analyze, and collect profiles from external profiling tools. Link to your OpenTelemetry trace data and get request specific or span specific profiles to enhance other observability information like traces and logs