Pepperdata Big Data APM Blog |

Aug 20

Why MTTR Matters and How Big Data APM Can Help

In the world of big data IT, performance is everything. User satisfaction with IT infrastructure is determined by application availability and response times. But in that same world, failure is inevitable, even within the most robust IT infrastructure. And each instance of downtime or failure to meet availability and/or performance... read more →

August 20, 2019
John Armstrong
Blog, Industry, Products

Jul 16

Why Financial Services Needs Big Data APM

Why Financial Services Needs Big Data APM Financial Services organizations operate in a challenging environment. As one of the most heavily regulated industries in the world, they are a constant target of hackers and fraudsters. At the same time, their applications and services are essential components of the global economy.... read more →

July 16, 2019
John Armstrong
Blog, Industry, Products, Uncategorized, Use Cases

Jul 10

How Pepperdata Big Data APM Delivers ROI by Controlling Cloud Costs

For most big data enterprises, application performance management (APM) is considered an essential element of application-centric IT operations and a DevOps-enabling bridge between production and development on one side, and IT and digital business on the other. APM strives to detect and diagnose complex application performance problems to maintain an... read more →

Jun 12

AI – Separating Hype from Reality

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can... read more →

Jun 04

Now That You’re in the Cloud: How to Manage Costs?

Remember the early days of moving to the cloud? It seemed like there was nothing the cloud couldn’t do — and for less money than dedicated on-prem servers. A lot has changed in just a few years. In the early days of cloud adoption, it was normal for businesses to... read more →

May 28

How AI Helps ITOps Keep Pace with Cloud Adoption

ITOps (IT Operations) was never easy. Many environments grew organically, with new equipment added over the years. Most enterprises have infrastructure from multiple vendors, each of whom requires companies to update to the latest releases and patches. These factors have made ITOps ever more complex. And the trend to a... read more →

May 21

Five Mistakes to Avoid When Using Spark

Apache Spark is playing a critical role in the adoption and evolution of Big Data technologies because it provides sophisticated ways for enterprises to leverage Big Data compared to Hadoop. The increasing amounts of data being analyzed and processed through the framework is massive and continues to push the boundaries... read more →

May 14

Key APM Functions and Metrics – A Primer

For those of us who are APM industry “insiders”, there’s not a lot of mystery when it comes to understanding the functionality and value of application performance management. We tend to take for granted that everyone else shares the same knowledge, but that’s not a wise assumption to make. So... read more →

May 09

Three Keys to Understanding Application Performance in the Cloud

The key cloud advantages of self-service, automatic provisioning, and rapid elasticity come at the cost of increased complexity at the application level. Each newly provisioned instance can have a hidden impact on the performance of already-running applications, an impact that may be visible only when we look at the underlying... read more →

May 01

Why MTTR Matters and How Big Data APM Can Help

Why Financial Services Needs Big Data APM

How Pepperdata Big Data APM Delivers ROI by Controlling Cloud Costs

Five Mistakes to Avoid When Using Spark

Key APM Functions and Metrics – A Primer

Three Keys to Understanding Application Performance in the Cloud

It’s All About the Cloud: Insights from the 2019 Spark + AI Summit in San Francisco

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