AIOps—Luxury or Necessity?
Artificial intelligence (AI) and machine learning (ML) were first discussed by classical philosophers attempting to describe how the human brain works as a mechanical manipulation of symbols. Fast forward to the 1940s, and scientists began to explore AI and ML with mathematical reasoning and the introduction of the programmable digital computer. But even after the […]
Driving Business Decisions Off Data
There are multiple systems in use for basing business decisions. The popular business intelligence (BI) market focuses on the use of back office data that must be aggregated or otherwise centralized and sliced and diced to make business decisions. While this is clearly critical data, and BI is a $14.4B market according to Gartner (calendar […]
Priorities for Application Operations Teams in 2015 [INFOGRAPHIC]
As we start 2015, IT and Application Operations teams prioritize their goals to improve the overall efficiency, migrate to the cloud, place importance on big data, among other department goals. In case you’ve been living under a rock, and haven’t heard about the monumental success of AppDynamics AppSphere™ 2014, well now you have some required […]
Too Big To Scale – Data Visualizations at Web Scale
Big news last week was about the JPMC data breach that could potentially impact millions of customers. This news brought about the return of “banks that are too big to fail” discussions on a much smaller scale then we saw during the financial crisis a few years back. The fact is, we live in a […]
AppDynamics Brings Big Data Science to APM in Summer ’14 Release
Today I am pleased to announce the availability of the AppDynamics Summer ‘14 Release. With this release, AppDynamics brings the first event store to capture and process big data streams in real-time to the APM industry. Large and complex applications generate data at an extremely high velocity, requiring a monitoring platform to scale along with […]
Big Data Monitoring
The term “Big Data” is quite possibly one of the most difficult IT-related terms to pin down ever. There are so many potential types of, and applications for Big Data that it can be a bit daunting to consider all of the possibilities. Thankfully, for IT operations staff, Big Data is mostly a bunch of […]
Buzzword Bingo by UrbanDictionary.com
It seems like every article, tweet, blog post I read someone has a different definition of the same buzzwords – especially in technology. Mentioning cloud or big data on a tech blog is like bringing sand to the beach. That’s one of the reasons why we made The Real DevOps of Silicon Valley – to make fun of the […]
FamilySearch Saves $4.8 Million with AppDynamics [Infographic]
Everyone and their mother is talking about big data these days – how to manage it, how to analyze it, how to gain insight from it – but very few organizations actually have big data that they have to worry about managing or analyzing. That’s not the case for FamilySearch, the world’s largest genealogy organization. FamilySearch […]
AppJam 2012: When Big Data Meets SOA at FamilySearch
Bob Hartley, Principle Engineer from Family Search Family Search’s distributed platform generates over 1.5 terabytes of data every day, servicing a user base of 3 million (and growing). Furthermore, Family Search’s application environment is highly dynamic, with code release cycles as short as 40 minutes. In this session Bob will discuss common challenges associated with […]
AppDynamics Pumps up the Jam in San Francisco
It’s been a week since we hosted AppJam Americas, our first North American user conference in San Francisco. With myself as master of ceremonies, and a minor wardrobe malfunction at the start (see video at the end of this post), the entire day was a huge success for us and our customers. One thing that […]
Data Clouds Part II: My Big Data Dashboard
In my previous blog, I wrote at length about the complexities of running a data cloud in production. This logical data set, spread across many nodes, requires a whole new set of tools and methodologies to run and maintain. Today we’ll look at one of the biggest challenges in managing a data cloud – monitoring. […]
An Introduction to the Data Cloud
As data has grown exponentially at many sites, companies have been forced to horizontally scale their data. Some have turned to sharding of databases like Postgres or MySQL, while others have switched to newer NoSQL data systems. There have been many debates in the last few years about SQL vs. NoSQL data management systems and […]
The New Generation of Enterprise Java: Designing for the Next Big Thing
https://www.youtube.com/watch?v=ytmZ4SF3hKI There’s been a generational shift in how Java enterprise applications are created: they have been broken down from a monolithic architecture into multiple services, and they’re highly interconnected and distributed. How can Java developers and Operations teams adapt to these changes? This keynote will discuss the 4 Big Things that Java professionals need to […]
Gartner recognizes AppDynamics as APM Innovator
It’s been a great start to 2012 for us at AppDynamics. Last week, we were recognized by Forrester Research in their APM market overview, and at the end of 2011, Gartner included us in their report “APM Innovators: Driving APM Technology and Delivery Evolution” which was co-written by Will Capelli and Jonah Kowall. According to Gartner’s report, […]
AppDynamics takes Cassandra out for Beer and Big Data
Welcome Cassandra, let’s start with a quick introduction of who you are and what you can do. I am a high-performance distributed scalable database. I am really good at doing lots of operations and growing as your data needs increase, and to top that all off I run on commodity hardware which means I’m really […]