Observability Blogs

Learn to define and measure Observability-as-a-Service (OaaS) with actionable KPIs in this Observability Center of Excellence blog. Explore key KPI categories, avoid common pitfalls, and align KPIs with OKRs for measurable success.

The introduction of the Ingest Processor will revolutionise the use of log data within your environment. Learn more about how it can be a game changer for managing log data in the world of observability.

Uncover the magic of the Sum Connector module in OpenTelemetry! Transform attribute data into clear, insightful metric sums and uncover the buried treasure in your already existing data!

Raen Lim, Splunk Group Vice President, explains why building robust digital resilience — supported by strong observability — is essential.

Explore the synergy of Cisco ThousandEyes with Splunk Observability Cloud via OpenTelemetry, enhancing IT operations and fortifying digital resilience.

Metrics Usage Analytics offers platform engineers a powerful tool to assess their organization's metric usage, with insights designed to reduce the impact of data cardinality on your bottom line.

Observability leaders detect and remediate incidents faster, double developer productivity and output, and reduce downtime and end-user issues.

The Splunk Enterprise receiver for OpenTelemetry simplifies monitoring your deployment, delivering essential metrics and attributes to your preferred observability backend.

Dive into the steps to form your very own Observability Center of Excellence (CoE) team.

Splunker Greg Leffler shares essential advice to prepare for KubeCon and CloudNativeCon North America 2024.

In the State of Observability 2024, we identify organizations that are outperforming their peers and share their key characteristics and outcomes achieved.

The Observability Center of Excellence (CoE) helps simplify and streamline your strategy and provides a framework to maintain and mature a leading observability practice.

In this blog, Splunkers Joanna Zouhour and Umang Agarwal cover three use cases the AI Assistant can unlock: accelerated troubleshooting, deeper visibility of your tech stack, and faster daily operations.

Splunk has been named a Leader in the 2024 Gartner® Magic Quadrant™ for Observability Platforms for the second year in a row in this category.

Splunker Greg Leffler walks us through OTelBin, a free and open-source tool created by the OpenTelemetry community.

Splunk Synthetic Monitoring helps test your most important user workflows so that you can find and fix issues before real users are impacted.

The path to digitalisation, however rewarding the goal, has proven to be a difficult one for many enterprises. One thing that is certain, however, is that visibility into application performance is vital not only to an effective technology strategy but to business success. The use case study to follow outlines a series of events experienced by many companies and sets down some guideposts to help you ensure that you will know the kind of digital service your customers are getting and will allow you to respond rapidly to outages and brownouts and, as a result, minimise the impact on revenue and brand.

With the launch of a built-in Service Level Objective (SLO) management experience in Splunk Observability Cloud, users get an intuitive experience for SLO creation with insight into the service's current performance.

The latest release of the Splunk ITSI Content Pack for Splunk Observability Cloud now enables the automatic creation of ITSI services using service topologies from Splunk APM Business Workflows.

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.