Here are the benefits of blockchain technology. Less maintenance and its distributable nature made the blockchain technology hot in the market.     The applications that used blockchain technology Viz: Banks, Share markets, Government Bodies, and Big Corporations.  What is Blockchain Blockchain stores each transaction in Blocks. No one can tamper or change the details. The people who are making a transaction in the Blockchain world both have the same copies. he parties involved cannot changes these records. So it is robust. Advantages of distributed ledger technology (Blockchain) The distributed nature of ledger details. Distributed data available to all parties, and cannot tamper the data. Every transaction is Public. That means only people who have access can see the information. It stores all records permanently. One cannot edit or manipulate the data. Data-hacking is not possible since it is distributed. Unlike centralized processing, the Blockchain is much faster. And verification

Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus. Requirements  Good maintainable code Exhaustive coverage of cases Training documents to Operations team Fewer bugs in the bug tracker Less complex and no redundant code Testing Activities   The team to use Tools to check the quality of code Style checker helps to correct code style Good design avoids bugs in production Code performance depends on the code-quality Bugs in production say poor testing  Tester Roles  Good quality means zero bugs in production . Design requirements a base to validate testing results. Automated test scripts give quick feedback on the quality of code. Right test cases cover all the functional changes. The Bottom Line The DevOps approach is seamless integration between Development and Operations without

There are two main reasons why Apache Storm is so popular. The number one is it can connect to many sources. The number two is scalable. The other advantage is fault-tolerant. That means, guaranteed data processing. The map-reduce jobs process data analytics in Hadoop. The topology in Storm is the real data processor. The co-ordination between Nimbus and Supervisor carried by Zookeeper Apache Storm The jobs in Hadoop are similar to the topology. The jobs run as per the schedule defined. In Storm, the topology runs forever. A topology consists of many worker processes spread across many machines.  A topology is a pre-defined design to get end product using your data. A topology comprises of 2 parts. These are Spout and bolts. The Spout is a funnel for topology Two nodes in Storm Master Node: similar to the Hadoop job tracker. It runs on a daemon called Nimbus. Worker Node: It runs on a daemon called Supervisor. The Supervisor listens to the work assigned to