Best IT Management Software for Envoy

Monitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation.

Amazon DynamoDB, a key-value and document databank, delivers single-digit millisecond performance on any scale. It is a fully managed, multiregional, multimaster, durable database that offers built-in security, backup, restore, and in-memory cache for internet-scale apps. DynamoDB can process more than 10 trillion requests per hour and can handle peak requests of more than 20,000,000 requests per second. Many of the fastest-growing businesses in the world, such as Lyft, Redfin, and Airbnb, as well as enterprises like Samsung, Toyota and Capital One, rely on DynamoDB's scale and performance to support mission-critical workloads.

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.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

Modern cloud-native applications running on Kubernetes environments require assistance with scaling, securing, and monitoring. Gloo Mesh, utilizing the Istio service mesh, streamlines the management of service mesh for multi-cluster and multi-cloud environments. By incorporating Gloo Mesh into their platform, engineering teams can benefit from enhanced application agility, lower costs, and reduced risks. Gloo Mesh is a modular element of Gloo Platform. The service mesh allows for autonomous management of application-aware network tasks separate from the application, leading to improved observability, security, and dependability of distributed applications. Implementing a service mesh into your applications can simplify the application layer, provide greater insights into traffic, and enhance application security.

Kubernetes is KuberSphere's kernel. KubeSphere is a distributed operating platform for cloud-native app management. It allows third-party applications to seamlessly integrate into its ecosystem through a plug-and play architecture. KubeSphere is a multi-tenant, open-source Kubernetes container system with full-stack automated IT operations. It also has streamlined DevOps workflows. It offers a wizard web interface that is easy to use for developers, allowing enterprises to create a robust and feature-rich Kubernetes platform. This includes all the common functions required for enterprise Kubernetes strategy development. Open-source Kubernetes platform CNCF-certified, 100% built by the community. It can be deployed on existing Kubernetes clusters or Linux machines. It supports both online and air-gapped installations. Deliver DevOps and service mesh, observability and application management, multi-tenancy storage, networking management, and other services in a single platform.

Connect and manage applications across clouds, clusters, and data centers. From a single management platform, coordinate app connectivity across heterogeneous infrastructure. Integrate legacy workloads into your cloud native application infrastructure. To give teams access to shared infrastructure, define tenants within your company. From day one, audit the history of any changes to shared resources and services. Automate traffic shifting across failure domains, before your customers notice. TSB is located at the application edge, at cluster entry, and between workloads within your Kubernetes or traditional compute clusters. The edge and ingress gateways route traffic and load balance it across clouds and clusters, while the mesh controls connectivity between services. One management plane can configure connectivity, security, observability, and other features for your entire network.

Tool for monitoring application performance for distributed systems. Designed for microservices, container-based architectures (Kubernetes), cloud-native architectures and microservices. SkyWalking can collect and analyze 100+ billions of telemetry data. Support log formatting, extract metrics and various sampling policy through script pipeline with high performance. Support service-centric and API-centric alarm rules. Support for forwarding alarms, telemetry data and all to third party. Support for metrics, traces and logs of mature ecosystems such as e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd.