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**“Warp one, engage!” **
The scene opens. Captain Jean Luc Picard leans forward in his oversized captain’s chair, eyes intent on the static starscape in front of him. He raises his hand as he gives the order. The stars begin to move and lengthen to dashes as light years flash by.
No, you’re not in the wrong e-book. Think of the Enterprise as, well, an enterprise: an entity reliant on a complex and distributed set of digital systems and tech stacks working in concert to ensure mission success.
The bridge of the starship Enterprise offers a stellar metaphor for an ideal observability practice. With full-stack, end-to-end visibility, Captain Picard and his crew quickly spot, understand, explain and remediate unexpected behavior across the ship’s entire environment — from vessel control to communications and tactical systems. To the delight of audiences across the show’s seven-season run, most issues are found and fixed before they turn catastrophic.
Whatever their mission, enterprises are increasingly relying on observability for greater digital resilience, avoiding blind spots, increased toil and alert storms …
• To deliver the bridesmaid dress unwrinkled and on time
• To make sure dinner arrives piping hot
• To cinch a winning Formula 1 Grand Prix
… and to boldly go where no one has gone — sorry, we had to.
The fault in our data
It’s not the data’s fault, really. It’s just that there’s so much of it. It can get scattered and hard to navigate. As businesses continue to modernize their digital systems, there’s a lot more to monitor and react to — more ephemeral cloud architectures, more frequent software changes, more data emitted across fragmented tools and possibly worst of all, more alerts.
As the complexity of our digital systems expands, so does the constellation of things that could possibly go wrong. And we know that downtime is costly — businesses report an average of 240 hours of unplanned downtime per year, to the tune of a lost $87 million in revenue and productivity. For ITOps and engineering teams, the cost is comparatively high. In State of Observability, an alarming 38% of respondents noted increased turnover on their team as a direct consequence of critical issues like downtime.
With a mature observability practice, organizations have more visibility into their vast, interwoven environments and are able to achieve greater digital resilience. This means fewer outages, less latency, faster issue resolution and happier customers and employees.
Digital resilience at enterprise scale
All hands on deck. It takes SecOps, ITOps and engineering teams working together to ensure digital systems are reliable, trustworthy and secure. That’s why we’ve created a model to guide teams as they expand into new and complementary use cases across security and observability.
For ITOps and engineering teams, this journey toward greater digital resilience will help you wrangle complex environments and break down silos to gain full visibility and business context — helping you stay light years ahead of issues. Or at least find and fix the critical ones fast.
“I don’t remember the last time someone has woken up over Thanksgiving to deal with an outage. Holidays used to be tumultuous from a tech perspective due to increased customer demand. Since we’ve upped our usage and adoption of Splunk, we haven’t had a single major outage, and the last critical incident was resolved in less than 15 minutes.” — Stephanus Meiring, VP of Engineering, Rent the Runway
**Make it so: Propelling the entire observability journey **
The world’s largest organizations rely on Splunk to help keep their digital systems secure and reliable. With Splunk’s Unified Security and Observability Platform, organizations can overcome the complexities, threats and disruptions that come between them and their mission — helping them move from foundational visibility, through understanding risk and performance and getting ahead of major issues, to unified workflows that allow teams to collaborate seamlessly.
In the following pages, we’ll share ways you can mature and modernize your observability practice — including check-in questions to help you self-score and determine how to most effectively allocate resources and staff.
As you embark on the journey, remember the wise words Lieutenant Commander Data shared: “The effort yields its own rewards.” The most important thing is to start. The time is now, and we’ll show you the way.
**“Warp one, engage!” **
The scene opens. Captain Jean Luc Picard leans forward in his oversized captain’s chair, eyes intent on the static starscape in front of him. He raises his hand as he gives the order. The stars begin to move and lengthen to dashes as light years flash by.
No, you’re not in the wrong e-book. Think of the Enterprise as, well, an enterprise: an entity reliant on a complex and distributed set of digital systems and tech stacks working in concert to ensure mission success.
The bridge of the starship Enterprise offers a stellar metaphor for an ideal observability practice. With full-stack, end-to-end visibility, Captain Picard and his crew quickly spot, understand, explain and remediate unexpected behavior across the ship’s entire environment — from vessel control to communications and tactical systems. To the delight of audiences across the show’s seven-season run, most issues are found and fixed before they turn catastrophic.
Whatever their mission, enterprises are increasingly relying on observability for greater digital resilience, avoiding blind spots, increased toil and alert storms …
• To deliver the bridesmaid dress unwrinkled and on time
• To make sure dinner arrives piping hot
• To cinch a winning Formula 1 Grand Prix
… and to boldly go where no one has gone — sorry, we had to.
The fault in our data
It’s not the data’s fault, really. It’s just that there’s so much of it. It can get scattered and hard to navigate. As businesses continue to modernize their digital systems, there’s a lot more to monitor and react to — more ephemeral cloud architectures, more frequent software changes, more data emitted across fragmented tools and possibly worst of all, more alerts.
As the complexity of our digital systems expands, so does the constellation of things that could possibly go wrong. And we know that downtime is costly — businesses report an average of 240 hours of unplanned downtime per year, to the tune of a lost $87 million in revenue and productivity. For ITOps and engineering teams, the cost is comparatively high. In State of Observability, an alarming 38% of respondents noted increased turnover on their team as a direct consequence of critical issues like downtime.
With a mature observability practice, organizations have more visibility into their vast, interwoven environments and are able to achieve greater digital resilience. This means fewer outages, less latency, faster issue resolution and happier customers and employees.
Digital resilience at enterprise scale
All hands on deck. It takes SecOps, ITOps and engineering teams working together to ensure digital systems are reliable, trustworthy and secure. That’s why we’ve created a model to guide teams as they expand into new and complementary use cases across security and observability.
For ITOps and engineering teams, this journey toward greater digital resilience will help you wrangle complex environments and break down silos to gain full visibility and business context — helping you stay light years ahead of issues. Or at least find and fix the critical ones fast.
“I don’t remember the last time someone has woken up over Thanksgiving to deal with an outage. Holidays used to be tumultuous from a tech perspective due to increased customer demand. Since we’ve upped our usage and adoption of Splunk, we haven’t had a single major outage, and the last critical incident was resolved in less than 15 minutes.” — Stephanus Meiring, VP of Engineering, Rent the Runway
**Make it so: Propelling the entire observability journey **
The world’s largest organizations rely on Splunk to help keep their digital systems secure and reliable. With Splunk’s Unified Security and Observability Platform, organizations can overcome the complexities, threats and disruptions that come between them and their mission — helping them move from foundational visibility, through understanding risk and performance and getting ahead of major issues, to unified workflows that allow teams to collaborate seamlessly.
In the following pages, we’ll share ways you can mature and modernize your observability practice — including check-in questions to help you self-score and determine how to most effectively allocate resources and staff.
As you embark on the journey, remember the wise words Lieutenant Commander Data shared: “The effort yields its own rewards.” The most important thing is to start. The time is now, and we’ll show you the way.
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