Splunk Observability is built for scale at an enterprise level. You can bring in vast amounts of data in real-time, at a one-second resolution and without the need for sampling.
Organisations get a full-stack, end-to-end view of what is happening in a complex application environment. With Splunk Observability they can correlate logs, traces and metrics. They get a complete view of their application services, and can proactively see if something is going to happen and quickly detect the issue when a problem occurs.
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.
How can Splunk bring ITOps- and engineering teams together so that they can deliver exceptional customer experiences? Splunk Observability can help enterprises and organisations solve problems within seconds. It's the only full-stack, analytics-powered and OpenTelemetry-native observability solution. Hear Robbie Baines, Observability Advisor at Splunk tell us more in this video.
As organisations are making the move from on-prem to cloud solutions built on microservices architecture, their monitoring has become more complex. To get a more holistic view of their application services a comprehensive observability solution is needed. Splunk Observability strengthens digital resilience by preventing unplanned downtime.
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.
Why is Splunk a perfect match for the public sector? Learn more from Johan Agild, Regional Sales Director at Splunk. He talks about Splunk's capabilities to help organisations be more resilient to fend off threat actors, reduce downtime and fix issues faster with leading solutions in the market.
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.
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.
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.
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.
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.
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.
Experience an IT analyst exploring new possibilities with the new Splunk AI Assistant for SPL. Get help to write custom SPL or learn more about your organization's existing queries with detailed explanations of complex SPL queries in natural language available right within your Splunk workflow.
Network protocols are necessary for data transmission and networking over different devices. One of the most common protocols is the TCP/IP framework, which builds connections through our internet. In fact, if you check email, watch Netflix, or stream music from Spotify, you’re relying on TCP/IP in the background. In this article, you’ll learn about the TCP/IP protocol layers and how they function.