Unlock the power of Microservices by choosing the right technology for every use case in your cloud application!
Need the io performance of NodeJS to make your app faster?? Build it as a Microservice!
Need the power of Machine Learning or NLP from Python in your cloud app? Build it as a Microservice!
With a variety of open source platforms available for frontend development, we find ourselves puzzled while selecting the right tool to build single page web applications.
Known for simplicity, flexibility, and performance, ReactJS has been considered to be most popular in comparison with other competitive libraries and frameworks.
Some of the best load testing tools. These will ensure that your software performs the best under all conditions.
Apache JMeter is an open-source tool designed to load test functional behavior and measure performance. It is used to analyze and measure the performance of web application and a variety of other services. It supports testing strategies such as Load Testing, Distributed Testing, and Functional Testing.
LoadRunner is a performance testing tool which supports various development tools, technologies and communication protocols. LoadRunner supports Rich Internet Applications, Web 2.0, Mobile Apps, SAP, Oracle, MS SQL Server, Citrix, and Mail.
WebLOAD by Radview integrates within your DevOps Pipeline to run Load Tests on your system at every deploy. It combines performance, scalability, and integrity as a single process for the verification of web and mobile applications. WebLOAD monitors and incorporates statistics from the various components of the system under test: servers, application server, database, network, load-balancer, firewall, etc.
What is Elasticsearch?
SQL is a very good solution for the majority of use cases, but when dealing with a huge amount of data, and wanting search results in realtime, SQL tends to disappoint.
Elasticsearch is an opensource RESTful search & analytics engine built to handle large datasets and provide search results in real-time! Elasticsearch lets you perform and combine many types of searches — structured, unstructured, geo, metric
What kind of data can you store in Elasticsearch?
Apart from Static data, we can use Elasticsearch to store logs and other bulky time series data. Thanks to the inbuilt scalability of Elasticsearch, we can dump a lot of data into its store without losing any performance.
Elastic Stack also offers opensource tools to visualize this data and even use it for machine learning & AI. Checkout Kibana for more info.
Elasticsearch is currently being used by many companies all over the world. For example – Netflix, Uber, eBay, Stack Overflow, Jobsoid etc.