Application Monitoring in the Enterprise
The end-goal for monitoring and observability teams at any organization is to serve and delight customers.
But that’s easier said than done at mid-sized and large enterprises. Teams there must contend with a range of challenges spanning roles and org structures, metrics and measurements, and heterogenous monitoring feeds.
Download this insight-rich, actionable whitepaper from Mike Julian, author of O’Reilly’s Practical Monitoring and editor and analyst of the popular Monitoring Weekly newsletter, and find answers to questions such as:
- Why is enterprise monitoring so hard?
- Should your manager be the Incident Commander?
- What can StatsD and Prometheus teach you?
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According to Gartner, artificial intelligence (AI) promises to be one of the most disruptive and innovative classes of technologies during the next 10 years. However, most IT leaders are struggling to identify where and how to generate business value with AI.
Whether your organization is just starting its AI initiatives or looking to strengthen its ongoing strategy, this complimentary Gartner report illustrates best practices in taking a business-focused, top-down approach in your IT strategy.
Get your free copy of Gartner’s report, Deliver Artificial Intelligence Business Value and learn how to:- Identify the most promising AI transformation opportunities
- Leverage AI in key IT initiatives
- Clarify which business objectives are achievable in the near term and in the long run
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According to Gartner, artificial intelligence (AI) promises to be one of the most disruptive and innovative classes of technologies during the next 10 years. However, most IT leaders are struggling to identify where and how to generate business value with AI.
Whether your organization is just starting its AI initiatives or looking to strengthen its ongoing strategy, this complimentary Gartner report illustrates best practices in taking a business-focused, top-down approach in your IT strategy.
Get your free copy of Gartner’s report, Deliver Artificial Intelligence Business Value and learn how to:- Identify the most promising AI transformation opportunities
- Leverage AI in key IT initiatives
- Clarify which business objectives are achievable in the near term and in the long run
Why BigPanda?
Forget about deployments that take months or years. Your team can successfully start using BigPanda in production in just a few weeks.
Whether it’s reducing time to acknowledge (MTTA) or resolve (MTTR), whether it’s faster time to value (TTV) or lowering costs and doing more with your team (TCO), BigPanda helps you meet your goals.
Machine Learning is not just a buzzword with BigPanda. Our Open Box Machine Learning technology creates always up-to-date automation logic that is easy to deploy, easy to use and easy to maintain.
We put business-critical metrics, reports and analytics at your fingertips, so you can unlock real-time and historical insights into service availability, operational efficiencies and team performance.
One-size-fits-all automation doesn’t always raise productivity. That’s why BigPanda lets you choose the level of autonomy that’s right for you – from manual to assisted to fully autonomous – and adopt it at your pace.
With BigPanda, your ops teams can rely on a trusted autonomous ally that makes them more efficient and successful, while the intuitive work console makes them more productive and engaged.
BigPanda Benefits
Benefits of Autonomous Digital Operations
- Scale headcount efficiently
- Drive process efficiency
- Enable productive work
- Improved Availability
- Improve SLA compliance
- Delight customers
- Enable Cloud Migration
- Ensure seamless M& integration
- Accelerate Digital Transformation