Observability Blogs

Splunk and Cisco have teamed up to deliver engineers and ITOps teams with an improved leading observability experience.

Ending up with or having too many tools for monitoring is an age-old problem in the monitoring space. It has been around for decades. In fact I would go a step further and argue that it is much worse within the platforms of today then it was in days gone by. There is a direct correlation between the explosion of new, exciting and innovative technologies and services in modern platform development of today and the sheer volume of tooling you can easily end up with to monitor it. In this blog I explore what has driven the expansion of tools, how having too many is creating fundamental challenges in how these platforms are being managed, the negative impact that this has on innovation and, most importantly, what the solution is.

Cisco AI Assistant has been integrated into Cisco AppDynamics allowing IT, DevOps, and SRE teams to streamline operations and decision-making processes via the power of intelligent, cross-domain guidance and actionable insights.

Seamlessly navigate AppDynamics and Splunk with unified observability. Enjoy SSO and context-aware deep linking for faster troubleshooting, improved productivity, and reduced MTTR.

Splunker Sid Govindu's guide is your starting point in leveraging Splunk ITSI for effective service decomposition and performance visualization.

As your tech landscape expands, so does the need for visibility across your ecosystem. Splunker Teneil Lawrence explains how to increase your data flexibility.

Set up complex multi-signal alerts, consolidate multiple alerts into a single detector, and maintain sanity in a complex world with Splunk Observability Cloud.

A cutting-edge solution that fortifies defenses against security threats, ensures robust performance of SAP® applications and business processes, and empowers teams with a proactive approach to maintaining system integrity and operational excellence.

In the ever-evolving digital ecosystem, where the pace of innovation is relentless, organizations face the dual challenge of managing escalating data volumes while simultaneously enhancing resilience and cost efficiency. Embracing modern data approaches presents a compelling solution, offering the promise of rebalancing the use of the Splunk Platform to enhance digital resilience. Let's delve into why modernizing data strategies is not just an option but a necessity in today's tech landscape and later in this blog we’ll explore the 3 strategies you can adopt to improve your Observability while rebalancing your use of the Splunk Platform.

We’re excited to announce multiple innovations available now in Cisco AppDynamics On-Premises, including AI-powered detection and remediation, application security with Cisco Secure Application, application and business performance monitoring for SAP® Solutions, and more.

Splunker Gabriela Parker explains how Splunk Observability Cloud makes the process of testing and review of new code easy for developers.

Splunk Observability Cloud has built-in capabilities to help improve developer experience and productivity.

Splunker Jennifer Elkhouri explains how Splunk On-Call relieves on-call stress: clear alerting practices and defined workflows mitigate developer team burdens.

Splunkers Joanna Zouhour and Navtej Singh introduce Splunk's Archived Metrics, storing data affordably, enhancing accessibility, and reducing costs in Metrics Pipeline Management.

OpenTelemetry context with baggage can help you quickly find value, errors and maybe your luggage.

Splunk’s observability strategy has always put AI functionality at the centre. We have always recognised that, in order to make actionable sense of full fidelity data metric, event, log, and trace data streams, human cognition requires an automated assist which is precisely what AI brings to the table. As a result, throughout our observability portfolio, customers will find a variety of machine learning and pattern discovery algorithms being put to work, separating signals from noise, surfacing patterns of correlation, diagnosing root causes, and enabling remedial responses to incidents. AI, itself, is, of course, evolving at a rapid clip and with AI Assist, Splunk adds Generative or linguistic AI functionality to the mix. But what is linguistic AI and how does it relate to the non-linguistic or Foundational AI that Splunk has deployed in its products to date?

Application Performance Monitoring (APM) as a discipline and as a collection of supporting technologies has evolved rapidly since a distinct recognisable market for APM products first emerged in the 2007 - 2008 time frame. While there are many who would argue that APM has mutated into or been replaced by Observability, it makes more sense to see APM as one of many possible use cases now able to exploit the functionalities that Observability brings to the table - particularly when combined with AI.

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.

Need a dashboard for that new OpenTelemetry receiver you’re using? Generate a Terraform configuration in Splunk Observability.

New features offer enhanced visibility, simplified investigations, and faster troubleshooting to empower teams.

We’re excited to announce that we are committing to extend the availability of Splunk Observability Cloud to AWS London (eu-west-2) and AWS Frankfurt (eu-central-1) regions starting August 2024.