Automatic intelligent observability into Envoy-proxied services of your Istio service mesh (GA)
The benefits of quicker deployment cycles, increased flexibility in resource use and decreased technology/vendor lock-in are driving the rise of microservices and container systems like Kubernetes and Cloud Foundry. These are just a few of the reasons why these platforms are now being used in customer situations worldwide.
The growing number of more petite, disconnected services poses new issues in terms of system complexity management. Many Kubernetes users turn to service meshes like Istio to overcome these operational difficulties regarding deployment, resilience, and security. However, you must have access to Istio’s essential components for Istio to properly tackle such operational challenges.
See what’s happening in your Istio Ingress/Egress Envoys in real-time.
We give you out-of-the-box service-level insights with comprehensive end-to-end traces into your microservices, unlike other solutions on the market that force you to deploy and configure monitoring manually. In addition, with OneAgent version 1.205, you can get out-of-the-box service-level insights into your Istio Ingress/Egress Envoys. Of course, this comes with all of the perks: the Davis® AI causation engine and entity model, Smartscape’s automatic topology detection, auto-baselining, automated error detection, etc.
Understand Istio, the Kubernetes native service mesh
One of the most prominent service meshes is Istio. It enables you to manage sophisticated microservice architectures solely through configuration—no application code changes are required. Although Istio is platform-neutral, it is generally utilized on Kubernetes-based platforms to fulfill various operational requirements. From simple tasks like automatic load balancing to more complicated functions like applying extensive routing rules, failovers, and fault injection. Envoy, a lightweight remote customizable proxy server that can dynamically route traffic through a service mesh, is used by Istio to handle this. Envoys are typically utilized as ingress and egress gateways and are injected as sidecars next to each microservice (with Kubernetes, these are dedicated containers in the same Pod).
The Envoys in an Istio managed service mesh decide how they will handle specific requests. As a result, Envoys include rudimentary distributed tracing capabilities based on OpenTracing out of the box. Complete end-to-end tracing is not achievable until all deployed services/applications broadcast trace headers, frequently overlooked. Another disadvantage is that even rudimentary illustration requires considerable manual configuration. Is managed service mesh is often disqualified as a feasible option for more extensive, more complicated settings and the necessity to adjust all microservices manually.
Easily identify bottlenecks with out-of-the-box service-level insights into your Ingress/Egress Envoys
We added the ability to collect service-level insights for the Ingress and Egress Envoy proxies with OneAgent version 1.195. Because these are the gatekeepers for all incoming and leaving traffic, this is very critical. It works without any human setup adjustments by deploying OneAgent via the OneAgent Operator or the Helm script on Kubernetes. It comes with OneAgent’s built-in insights, such as service and application metrics, deep code level insights, automated topology detection, and more.
We automatically recognize dedicated services for your Envoy-based Ingress and Egress gateways as soon as Envoy monitoring is enabled. You receive all of the advantages of including Envoys in the Davis AI entity model, plus automatic baselining and error detection.
The Istio-ingress gateway, which passes requests to our Hipster-front-end sample web application, is seen below.
You can quickly see how your HTTP service calls are dispersed over the environment when you open the Service flow from the Istio-ingress controller. It makes it simple to spot load and error distribution and bottlenecks.
On the PurePath® distributed trace level, the ingress controller is also visible. It gives you access to all the trace’s details, including the URI, HTTP method and response codes, and timing information. You can also look into all of the details of the downstream calls that happen in the context of this single transaction here.
Everything works right out of the box. Use the OneAgent Operator or a Helm script to deploy OneAgent in Full Stack mode. These options also benefit from preserving the correct Istio configuration for allowing OneAgent data to reach your environments.
Get started automatic intelligent observability.
- On all hosts where your Envoys execute, make sure OneAgent version 1.205+ is installed.
- Can enable envoy monitoring under Settings > Monitored technologies > Envoy.
- Should restart envoy services.
- Check to see if HTTP requests are passing via your Envoys and applications.
- On the Transactions and Services page, you can find your Envoys (in large environments, try filtering the list of technologies by Envoy).
Automatic intelligent observability.
Enteros
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Using Predictive AIOps and FinOps to Improve Healthcare Application Reliability
- 26 August 2026
- Database Performance Management
Introduction Healthcare organizations increasingly depend on digital applications to support patient care, clinical workflows, administrative operations, and data-driven decision-making. Electronic health record (EHR) systems, telehealth platforms, patient portals, diagnostic applications, insurance systems, laboratory platforms, and healthcare analytics solutions all require reliable and responsive IT infrastructure. As these applications become more connected and data-intensive, maintaining reliability … Continue reading “Using Predictive AIOps and FinOps to Improve Healthcare Application Reliability”
How to Optimize Higher Education Technology with Enteros Database Software, AIOps, and Cloud FinOps
Introduction Universities and higher education institutions are undergoing rapid digital transformation. Learning Management Systems, student portals, online examinations, digital libraries, research platforms, admissions systems, finance applications, and campus management platforms have become essential infrastructure. At the same time, higher education organizations are under pressure to manage technology budgets carefully. Read more”Indian Country” highlights Enteros and … Continue reading “How to Optimize Higher Education Technology with Enteros Database Software, AIOps, and Cloud FinOps”
How AIOps and FinOps Strengthen Digital Healthcare Infrastructure and Cost Efficiency
Introduction The healthcare industry is undergoing one of the most significant digital transformations in its history. Hospitals, healthcare providers, insurance organizations, telehealth platforms, diagnostic centers, and healthcare technology companies increasingly rely on digital systems to deliver patient care, manage medical records, process claims, support remote consultations, and analyze clinical data. As healthcare organizations embrace cloud … Continue reading “How AIOps and FinOps Strengthen Digital Healthcare Infrastructure and Cost Efficiency”
How to Optimize Real Estate Technology Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability
Introduction Real estate organizations are becoming increasingly technology-driven. Property management platforms, online listings, tenant applications, leasing systems, CRM, property accounting, smart-building platforms, investment analytics, and digital marketplaces all depend on reliable databases. Real estate businesses also increasingly use AI and analytics to understand property demand, pricing, occupancy, customer behavior, and investment opportunities. Read more”Indian Country” … Continue reading “How to Optimize Real Estate Technology Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability”