Debugging microservices applications is a difficult task. The state of an application is spread across multiple processes, often on different nodes. It is hard to get the holistic view of an application's state. Certain tools exist for troubleshooting microservice issues. OpenTracing can be used to produce transaction or workflow logs for post-mortem analysis. Service meshes like Istio can be used to monitor the network to identify latency problems. Unfortunately, these tools are passive, the feedback loop is slow, and they do not allow you to monitor and alter the application during run time.
 
Squash brings the power of modern debuggers to developers of microservice apps. Squash bridges between the apps running in a Kubernetes environment (without modifying them) and the IDE. Users are free to choose which containers, pods, services or images they are interested in debugging, and are allowed to set breakpoints in their codes, follow values of their variables on the fly, step through the code while jumping between microservices, and change these values during run time.

Debugging microservices applications is a difficult task. The state of an application is spread across multiple processes, often on different nodes. It is hard to get the holistic view of an application's state. Certain tools exist for troubleshooting microservice issues. OpenTracing can be used to produce transaction or workflow logs for post-mortem analysis. Service meshes like Istio can be used to monitor the network to identify latency problems. Unfortunately, these tools are passive, the feedback loop is slow, and they do not allow you to monitor and alter the application during run time.


Squash - The debugger for microservices

ElastAlert is a simple framework for alerting on anomalies, spikes, or other patterns of interest from data in Elasticsearch. ElastAlert works with all versions of Elasticsearch. If you have data being written into Elasticsearch in near real time and want to be alerted when that data matches certain patterns, ElastAlert is the tool for you. If you can see it in Kibana, ElastAlert can alert on it.

Elastalert - Easy & Flexible Alerting With ElasticSearch

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Kubeflow is a platform for data scientists who want to build and experiment with ML pipelines. Kubeflow is also for ML engineers and operational teams who want to deploy ML systems to various environments for development, testing, and production-level serving.

kubeflow - Machine Learning Toolkit for Kubernetes

Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed.
 
Applications need to be “instrumented” to report trace data to Zipkin. This usually means configuration of a tracer or instrumentation library. The most popular ways to report data to Zipkin are via HTTP or Kafka, though many other options exist, such as Apache ActiveMQ, gRPC and RabbitMQ. The data served to the UI are stored in-memory, or persistently with a supported backend such as Apache Cassandra or Elasticsearch.

Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed.

Zipkin - Distributed tracing system

Jaeger is a Distributed Tracing System. It is inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber Technologies. It can be used for monitoring microservice-based architectures.
<ul>
<li>Distributed context propagation</li>
<li>Distributed transaction monitoring</li>
<li>Root cause analysis</li>
<li>Service dependency analysis</li>
<li>Performance / latency optimization</li>
</ul>

Jaeger is a Distributed Tracing System. It is inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber Technologies.  It can be used for monitoring microservice-based architectures.



Jaeger - A Distributed Tracing System

Fedna is a one stop solution for all school management related issues and helps you manage student databases and all other activities online. It helps the schools and campuses that want an easy means to manage all campus records. It manages User, Time-table, Examination, Attendance, Student and News. Demo: <A HREF="http://demo.projectfedena.org" target="_blank">http://demo.projectfedena.org</A>

Fedna is a one stop solution for all school management related issues and helps you manage student databases and all other activities online. It helps the schools and campuses that want an easy means to manage all campus records. It manages User, Time-table, Examination, Attendance, Student and News.

Fedena - School Management ERP on Ruby

Jitsi Meet is an open-source (Apache) WebRTC JavaScript application that uses Jitsi Videobridge to provide high quality, secure and scalable video conferences. Jitsi Meet allows very efficient collaboration. Users can stream their desktop or only some windows. It also supports shared document editing with Etherpad.

Jitsi Meet - Secure, Simple and Scalable Video Conferences

Kuma is a platform agnostic open-source control plane for Service Mesh and Microservices. It can run and be operated natively across both Kubernetes and VM environments, making it easy to adopt by every team in the organization. Bundling Envoy as a data-plane, Kuma can instrument any L4/L7 traffic to secure, observe, route and enhance connectivity between any service or database. It can be used natively in Kubernetes via CRDs or via a RESTful API across other environments like VMs and Bare Metal.
 
Modern applications will inevitably make requests over a network to communicate to other services, like databases, caches or microservices. But - as we all know - the network is by default unreliable and unsecure, and can introduce significant challenges to any modern environment like security, tracing and routing among the others.
 
Kuma is a better way to build L4/L7 connectivity among your services and applications (Service Mesh) by reducing the code that application teams have to write, enabling to ship products faster and improve the reliability and security of the overall architecture with minimal effort.

Kuma is a platform agnostic open-source control plane for Service Mesh and Microservices. It can run and be operated natively across both Kubernetes and VM environments, making it easy to adopt by every team in the organization. Bundling Envoy as a data-plane, Kuma can instrument any L4/L7 traffic to secure, observe, route and enhance connectivity between any service or database. It can be used natively in Kubernetes via CRDs or via a RESTful API across other environments like VMs and Bare Metal.





kuma - The Universal Service Mesh

This project provides reverse tethering over adb for Android: it allows devices to use the internet connection of the computer they are plugged on. It does not require any root access (neither on the device nor on the computer). It works on GNU/Linux, Windows and Mac OS.

Gnirehtet - Reverse tethering for Android

JavaPoet is a Java API for generating .java source files. Source file generation can be useful when doing things such as annotation processing or interacting with metadata files (e.g., database schemas, protocol formats). By generating code, you eliminate the need to write boilerplate while also keeping a single source of truth for the metadata.
 
Most of JavaPoet's API uses plain old immutable Java objects. There's also builders, method chaining and varargs to make the API friendly. JavaPoet offers models for classes & interfaces (TypeSpec), fields (FieldSpec), methods & constructors (MethodSpec), parameters (ParameterSpec) and annotations (AnnotationSpec).

JavaPoet is a Java API for generating .java source files. Source file generation can be useful when doing things such as annotation processing or interacting with metadata files (e.g., database schemas, protocol formats). By generating code, you eliminate the need to write boilerplate while also keeping a single source of truth for the metadata.

JavaPoet - A Java API for generating .java source files.

Byte Buddy is a code generation and manipulation library for creating and modifying Java classes during the runtime of a Java application and without the help of a compiler. Other than the code generation utilities that ship with the Java Class Library, Byte Buddy allows the creation of arbitrary classes and is not limited to implementing interfaces for the creation of runtime proxies. Furthermore, Byte Buddy offers a convenient API for changing classes either manually, using a Java agent or during a build.

byte-buddy - Runtime code generation for the Java virtual machine

Searchkit is a tool allowing you can quickly build a search experience using predefined GraphQL resolvers and React components. Built on the top of Apollo GraphQL, React & Elasticsearch, Searchkit makes building a high-quality API a lot easier. The library provides GraphQL resolvers dedicated to handling the most common use cases you could think of when using filtering oriented API beginning with basic operations such as simple querying, ending on more tricky ones such as efficient facet filtering or pagination.

Searchkit - GraphQL API & React UI components for Elasticsearch.

 The definitive JNA reference (including an overview and usage details) is in the JavaDoc. Please read the overview. Questions, comments, or exploratory conversations should begin on the mailing list, although you may find it easier to find answers to already-solved problems on StackOverflow. JNA provides Java programs easy access to native shared libraries without writing anything but Java code - no JNI or native code is required. This functionality is comparable to Windows' Platform/Invoke and Python's ctypes.

JNA - Java Native Access

Puppeteer is a Node library which provides a high-level API to control Chrome or Chromium over the DevTools Protocol. Puppeteer runs headless by default, but can be configured to run full (non-headless) Chrome or Chromium. Most things that you can do manually in the browser can be done using Puppeteer! For example you can generate screenshots and PDFs of pages, Crawl a SPA (Single-Page Application) and generate pre-rendered content, Automate form submission, UI testing, keyboard input, etc.


Puppeteer - Headless Chrome Node API

Jib builds optimized Docker and OCI images for your Java applications without a Docker daemon - and without deep mastery of Docker best-practices. It is available as plugins for Maven and Gradle and as a Java library. Jib separates your application into multiple layers, splitting dependencies from classes. Now you don’t have to wait for Docker to rebuild your entire Java application - just deploy the layers that changed. 
 
Rebuilding your container image with the same contents always generates the same image. Never trigger an unnecessary update again. Reduce your CLI dependencies. Build your Docker image from within Maven or Gradle and push to any registry of your choice. No more writing Dockerfiles and calling docker build/push.

Jib builds optimized Docker and OCI images for your Java applications without a Docker daemon - and without deep mastery of Docker best-practices. It is available as plugins for Maven and Gradle and as a Java library.

jib - Build container images for your Java applications.

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