Troubleshooting CPU Spike in a Major Trading Application

This application was running on Java, Tomcat technology stack. We requested Site Reliability Engineering (SRE) team to capture the following two artifacts from the machine where this problem was happening:

  1. top -H output
  2. Thread dumps

#articles #java

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Troubleshooting CPU Spike in a Major Trading Application

SIMPLE BITCOIN TRADING STRATEGY | HOW TO FIND THE BEST TRADES

📺 The video in this post was made by Jayson Casper
The origin of the article: https://www.youtube.com/watch?v=SlFEwzrPKSk
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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#bitcoin #blockchain #bitcoin trading #bitcoin trading strategy #simple bitcoin trading strategy #simple bitcoin trading strategy | how to find the best trades

aaron silva

aaron silva

1617958563

Cryptocurrency Trading Software | Crypto Trading Software

A Cryptocurrency Trading Software is a place where it creates a platform for investors and cryptocurrency traders who want to hire advanced digital tools and technology (i,e, Trading Bot) to realize and earn more revenue from that trading platform.
This platform allows you to trade for Ethereum, Litecoin, Bitcoin (BTC), and many more with ease. These modern tools will take care of your business prerequisites and will make way for your business to stand unique among your competitors.

What is a Crypto Trading Bot?

Cryptocurrency Trading Bot is a digital program that buys and sells cryptocurrencies in keeping with user’s preferences. The user can set an algorithm on the program to handle the bot what to buy and sell and stores the profits in the crypto wallet.

Its Features includes the subsequent noteworthy points:

  • Margin Trading is a facility offered for users where it helps to borrow money to shop for assets that they can’t afford.
  • It matches the trading engine with other users within the platform precisely.
  • Custom-made UI/UX is obtainable on the platform.
  • Unified Web Crypto Wallet.
  • Margin Lending allows the borrowee to lend some funds to the borrower and earn interest on a daily basis.
  • The trading software will work as per your requirements like order book section choices, enables you to line your wish accordingly with other parties within the platform.
  • The trading bot will handle all types of transactions & exchanges of the user and store the profits.

So, grab the industries leading exchange platform development company to sweep through all the obstacles that enter your way while creating your customizable trading platform.

#crypto trading bot #cryptocurrency trading software #exchange platform development #trading platform #trading software

Troubleshooting CPU Spike in a Major Trading Application

This application was running on Java, Tomcat technology stack. We requested Site Reliability Engineering (SRE) team to capture the following two artifacts from the machine where this problem was happening:

  1. top -H output
  2. Thread dumps

#articles #java

Gerhard  Brink

Gerhard Brink

1624006278

The Rising Value of Big Data in Application Monitoring

In an ecosystem that has become increasingly integrated with huge chunks of data and information traveling through the airwaves, Big Data has become irreplaceable for establishments.

From day-to-day business operations to detailed customer interactions, many ventures heavily invest in data sciences and data analysis  to find breakthroughs and marketable insights.

Plus, surviving in the current era, mandates taking informed decisions and surgical precision based on the projected forecast of current trends to retain profitability. Hence these days, data is revered as the most valuable resource.

According to a recent study by Sigma Computing , the world of Big Data is only projected to grow bigger, and by 2025 it is estimated that the global data-sphere will grow to reach 17.5 Zettabytes. FYI one Zettabyte is equal to 1 million Petabytes.

Moreover, the Big Data industry will be worth an estimate of $77 billion by 2023. Furthermore, the Banking sector generates unparalleled quantities of data, with the amount of data generated by the financial industry each second growing by 700% in 2021.

In light of this information, let’s take a quick look at some of the ways application monitoring can use Big Data, along with its growing importance and impact.

#ai in business #ai application #application monitoring #big data #the rising value of big data in application monitoring #application monitoring

Lisa joly

Lisa joly

1624090500

Top 5 Big Data Applications in Banking & Insurance

By nature, the banking, financial services, and insurance (BFSI) sector have always been data-driven. However, today, institutions in the BFSI sector are increasingly striving to adopt a full-fledged data-driven approach that can only be possible with Big Data technologies. With Big Data Analytics, companies in the BFSI sector can not only grow their business but also work towards increasing customer satisfaction.

Although data analytics has been an integral part of the BFSI sector, nowadays, companies in this sector are steering towards Big Data Analytics. The fundamental question that stakeholders ask before adopting Big Data is –

How can Big Data enhance our business and solve our problems?

With Big Data, companies can access valuable and accurate insights from large datasets, which gives them a competitive advantage over their rivals. Big Data the potential to bring many benefits to the table, including increased levels of customer insight and engagement, improved market trading analysis, and enhanced fraud detection and prevention, among other things. The most noteworthy contribution of Big Data to the BFSI sector is ‘real-time evaluation’ that allows banks and financial institutions to track and monitor customer behavior in real-time and offer prompt solutions accordingly. As the quality of services improves and delivery time reduces, it will provide a significant boost to customer satisfaction while also improving the overall profitability of the organization.

Big Data allows BFSI institutions to obtain a comprehensive understanding of customers, products/services, markets, industry regulations, competitors, and advertising channels. The most significant areas of application of Big Data in the BFSI industry are:

#big data #top 5 big data applications in banking & insurance #banks #big data applications #major applications #good