Operations | Monitoring | ITSM | DevOps | Cloud

Open Source vs. Closed Source Software

In software development, two primary models of software exist: open source and closed source. Both types have their benefits and drawbacks, and understanding the differences between them can help you make informed decisions when choosing software for your projects. To simplify the concepts of open source and closed source software, let’s use the analogy of community cookbooks — open source — and a secret family recipe: the closed source.

Unlock the Power of Observability with OpenTelemetry Logs Data Model

Your log records may be missing a key ingredient that unlocks the world of observability for your applications, infrastructure and services. If you're building a new application or enhancing an existing one, consider adopting the OpenTelemetry Logs Data Model's Log and Event Record Definition. Adopting this definition enriches your logs by adding additional data, making it easier to use them to correlate them with metrics and traces, in addition to XYZ.

Stream Amazon CloudWatch Logs to Splunk Using AWS Lambda

Amazon CloudWatch Logs enables you to centralize the logs from different AWS services, logs from your applications running in AWS and on-prem servers, using a single highly scalable service. You can then easily view these logs data, search them for specific error codes or patterns, filter them based on specific fields, or archive them securely for future analysis.

Continual Learning in AI: How It Works & Why AI Needs It

Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.

SaaS, PaaS & IaaS: The Ultimate Guide To Cloud Service Models

The emergence of cloud computing. Arguably the biggest change in technology in decades, cloud computing changed how technology would now develop and how businesses and organizations would operate. Indeed, the enormous popularity of cloud services is due precisely to that: you can get different models depending on your operational needs. To properly utilize these cloud service models, you should understand the differences in their functional capabilities and the ideal use cases for each model.

Caught in 4K! New Splunk Features Help Find Problems Faster With Full Visibility of Your Tech Stack

As environments have become more complex and digital user expectations are at an all-time high, organizations are under more pressure than ever to keep their digital systems secure and reliable. At Splunk, we’ve been hard at work building features that help ITOps and engineering teams thrive amid digital disruptions and build resilient systems.

Splunk Joins Cisco: Our Partner Ecosystems Just Got Even Stronger

What do you get when you combine the full power of the network with market-leading security and observability solutions? More customer value and an amazing partner ecosystem. It’s official! Today, with the closing of the acquisition, Splunk became part of Cisco. We’re looking forward to this exciting new chapter of our journey together – and it couldn’t have come at a better time.

APM Metrics: The Ultimate Guide

How your software applications perform is an extremely important factor in determining end-user satisfaction. APM metrics are the key indicators that help business-critical applications achieve peak performance. This article explains APM metrics, their importance, and the core APM metrics used by modern software systems to measure and optimize the performance of their applications.

Scalability in IT: The Complete Guide To Scaling

Somewhere in the IT multiverse, a perfect balance has been achieved between demand for IT services and installed system capacity. Unfortunately, that isn’t our world. IT systems operate in swing periods of idle capacity and overloads, as the ebb and flow of demand is influenced by various internal and external factors.

Continuous Data: The Complete Guide

Data is never just data. There are structured and unstructured data, qualitative and quantitative data. Among these varied types, continuous data stands out as a key player, especially in the quantitative realm. Continuous data, with its infinite possibilities and precision, captures the fluidity of the real world — from the microseconds of a website’s load time to the fluctuating bandwidth usage on a network.