Tel Aviv, Israel
Nov 27, 2022   |  By Kendall Miller
It’s common in our everyday language to conflate seeing and understanding when the two are actually very different things. For example, if every day for the last few years we spoke briefly and wrote down the total number of Covid cases in the world, it would be easy to see some trends in the data—you would see the data. But if we present the same data drawn as a chart, it’s easy to understand where the spikes and dips are and when the situation got really bad.
Nov 23, 2022   |  By Ran Nozik
OpenTelemetry (OTel), the emerging industry standard for collecting observability data, recently announced the GA of its demo application – and this is good news for distributed tracing fans.
Nov 21, 2022   |  By Ran Nozik
OpenTelemetry (OTel), is an open source, CNCF (Cloud Native Computing Foundation) project that provides tools, APIs and SDKs for observability data collection (i.e, logs, metrics and traces) from cloud-native applications. Developers can use the data collected from OTel to monitor and analyze application health and performance. To leverage the data and its insights, you can export the data to external solutions, like APMs, open source Jaeger and Zipkin, Helios, and others.
Nov 14, 2022   |  By Yaron Dinur
iOS and Android apps are often a common component of distributed applications, forming a key part of the software architecture. These mobile apps provide another way to access data and perform actions on various services, requiring tight integration between the apps and the components which serve the data and control it.
Nov 9, 2022   |  By Liron Kreiss
Over the past few months, Helios has experienced rapid growth resulting in our user base increasing, our services multiplying, and our system ingesting more data. Like all tech companies that need to scale, we wanted to avoid our performance becoming sluggish over time.
Nov 7, 2022   |  By Aviv Kerbel
When developers talk about the options OpenTelemetry opens up to them, one of the most powerful use cases is troubleshooting distributed architectures. With OTel data and insights, developers can identify bugs and solve a wide range of issues across various types of architecture and flows. These include asynchronous flows, flows with Lambda functions, and many more.
Nov 1, 2022   |  By Kendall Miller
One of the things that most excites me about what we at Helios are doing differently than anyone else is trace visualizations. While there are many ways to troubleshoot microservice architectures, a good visual overview goes a really long way to speeding up understanding and therefore accelerating time to a resolution. When your manager asks, “Why did that break down?” with Helios you can answer quickly with accurate data—this is the value of the Helios platform.
Oct 23, 2022   |  By Ran Nozik
OpenTelemetry (OTel), an open source project under the Cloud Native Computing Foundation (CNCF), is a collection of tools, APIs and SDKs for generating and collecting observability data (mainly trace, metrics and logs) from cloud-native applications. An industry-standard for distributed tracing and observability, OTel enables analyzing application health and performance to ensure production-readiness and support production monitoring.
Oct 12, 2022   |  By Kendall Miller
One analogy of a microservice architecture that I personally like is the idea of a large office setting with disparate departments communicating through an internal mail system. I imagine manilla envelopes being passed around, carried on carts through hallways, up elevators—passing the information one department needs to the next department.
Oct 2, 2022   |  By Ran Nozik
Microservices are loosely coupled services that are organized around business capabilities. In an ideal microservices architecture, each service can be developed and deployed independently. To form a functional application, these separate services communicate with each other in the production environment (and even beforehand).

Investigate issues, reproduce scenarios, and generate tests for your cloud-native applications faster with actionable data across your microservices, messaging systems, data pipelines, and databases.

Helios is built on OpenTelemetry making distributed tracing data actionable for you, as early as your local environment. It integrates with your existing logging, error monitoring, and CI, so you can get a full picture of every issue and fix it fast.

Find and fix complex issues faster than ever:

  • Get a full dynamic view of your system: Helios provides an integrated E2E view of your system across microservices, serverless functions, databases, and 3rd party APIs.
  • Everything you need for cloud-native debugging: Helios gathers traces, payloads, logs, metrics, and errors to help you fix issues faster than ever.
  • Generate E2E test code to validate complex backend behaviors in minutes: Take advantage of distributed tracing to easily validate previously tedious-to-test asynchronous operations in your system.

The fastest way to troubleshoot and test your distributed applications.