White Papers
Gartner recently identified Data Fabric or Robotic Data Automation Fabric (RDAF) as one of the top 10 data and analytics trends for 2022. Gartner also states that “by 2024, data fabric deployments will quadruple efficiency in data utilization while cutting human-driven data management tasks in half.”
What is AIOps & why it matters for today's enterprises? This white paper by CloudFabrix addresses:
- Why are Current Log Management Solutions Falling Short?
- How Does Sophisticated Log Intelligence Help?
- The Key Use Cases of Log Intelligence
- Consumption-Based Model in the Cloud
- What Sets Log Intelligence Apart?
Application development has evolved over past 25 years, but monitoring and operations management has stood still. As cloud computing environments grow more complex, enterprise firms face new challenges that burn time and capital expense, inhibiting growth and stifling their success. This paper explores a new paradigm of IT operations, AIOps, which provides cloud-first companies a path forward to more intelligent, efficient operations.
Grok AIOps was implemented to provide better visibility and to enable the customer to improve their ability to manage increasing event volumes and improve service levels with their customers.
Unifying IT Ops data wherever it resides is the crucial first step toward building an effective analytics and reporting practice. This involves connecting the data sources together, normalizing the data, and combining it to create a coherent view. Taken together, this information enables IT Ops to run more effectively and efficiently—providing better support to different business units, customers, and users. Download this white paper for insight into the current flawed state of IT Ops analytics and reporting—and guidance toward picking the right IT Ops reporting tools for your enterprise.
Kubernetes has become the cloud-native standard. However, it is a complex technology, and companies are still struggling to use it properly and effectively. Adding engineers is one way to solve the problem but doesn’t always address performance problems. When IT doesn’t have visibility into Kubernetes performance, optimal performance and cost containment are hard to achieve. Automation is key to optimizing performance.
Our Buyer’s Guide will provide hands-on, practical guidance to ensure your chosen AIOps solution delivers value. Specifically, you will learn:
- How to assess your readiness for AIOps
- Desired characteristics of AIOps solutions
- Required capabilities to deliver value
- What’s inside BigPanda’s AIOps platform
If you’re in IT Ops today, you’re feeling the heat from all sides: the spotlight on your ability to digitally transform, the pressure to prevent outages, and the stress of having to do it all without more resources. The last two years have required more of IT Ops than ever before and revealed where teams are lacking. You can run excellent operations in one sector of IT Ops, but without all areas running equal levels of maturity, you won’t avoid long and crippling outages. So, what can you do? The first place to start is by evaluating your IT Ops maturity. Download our manual, A practical guide to IT Ops maturity to learn:
- What the five phases of IT Ops maturity are
- Which KPIs you should use to assess IT Ops maturity
- How to use the maturity model in your environment
You can use this guide as your framework for creating a plan to evolve your IT Ops maturity process. With you in the lead of a more mature IT Ops team, your organization will drive more revenue and achieve its growth goals.
Gartner identified Total Experience (TX) as a top strategic trend for 2022 with the goal to drive greater customer and employee advocacy and increase revenue and profits for businesses. Digital consumers assume the services they use will always be on and responsive to their needs. This means the people who provide those services have to continually balance innovating and delivering new, exciting capabilities with maintaining the performance of the underlying applications and platforms. In this white paper, we look at the research and predictions and provide practical advice on how to achieve a resilient and adaptable availability posture in 2022 driven by TX that aligns with their business goals across:
- Ensuring customer experience through availability and adaptability
- Following engineer experience trends across no-code, growing DevOps toolchains, and the "Year of SRE"
- Driving consistent user experience across multi devices and omnichannel
- Maintaining strong internal advocacy for internal employees in times of the Great Resignation
This eBook explains how DevOps and SREs can develop more and operate less by applying AI to events, metrics, traces and logs to keep CI/CD agile and your business growing.
To truly understand the cost of downtime, we’ve analyzed incident metrics from this past year to average what downtime costs across different company sizes and with varying numbers of critical incidents per week. Read on to see what downtime costs for you!
Register now to receive your copy of the AIOps Benchmark Report to find out:
- What percentage of respondents is investing in AIOps
- The impact of AIOps on operations by early adopters
- Leading trends for improving reliability and performance
- Top application development objectives
- Which KPIs organizations track in order to improve upon them
Without enrichment, your AIOps tools will struggle to make sense of incoming data. The AI/ML technology powering your AIOps tools will struggle to create high-quality incidents. Incidents that lack valuable, actionable context result in frequent, long and painful incidents and outages. You will be no better off than you were before your AIOps investment. This white paper will explain:
- What enrichment is, the context of AIOps
- Why enrichment matters
- What enrichment does to improve the yield of AIOps efforts
- How to evaluate enrichment capabilities that are part of AIOps tools
Expensive or inefficient queries can seriously hamper your system’s overall performance, causing missed SLAs, slow database resources, and negative impacts on other users. Download this recent eBook to learn how you can improve your big data query performance while keeping costs in line.
Spark has provided enterprises with massive gains when it comes to leveraging and processing big data. However, that’s not to say it doesn’t come with its challenges. Download this eBook to discover how you can:
Need insight into how other enterprises are running their big data workloads in the cloud? After polling 750 respondents from various industries, we’re uncovering the results. Download this report now to see how enterprises are thinking about their big data applications in the cloud, whether they are staying within budget, and what their strategies are for optimizing operations.
Do you rely on big data and the cloud? Then effective scalability in cloud computing is crucial to your organization's success. As scaling has moved beyond human capability in today's fast-paced environment, it's important to learn how to continue meeting today's requirements and get the most value from your data. Download this white paper to understand and unlock the power of cloud computing scalability today.
Download this report to learn how AIOps can reduce stress from alert fatigue, prolonged and difficult incident management processes, and from constantly fighting fires rather than addressing root causes. This CIO Dive whitepaper is particularly valuable for organizations facing ITOps challenges such as:
- Traffic spikes
- Multichannel customer experience
- Visibility into tech stack performance
- Resolving incidents quickly with a remote IT workforce
Autonomous Operations is all about applying more intelligent automation to scale IT incident management, optimize your operational costs, improve service availability and mitigate the risks of digital transformation. Powered by machine learning, Autonomous Operations is the next generation, evolving beyond everything that has come before: from legacy ECA to AIOps. Download this eBook to learn all about what Autonomous Operations is, the problems it helps solve, what makes it “autonomous”, and the capabilities of BigPanda – the first Autonomous Operations solution available.
Artificial Intelligence (AI) may no longer be a revolutionary term, but for such a transformative and critical piece of technology, it often remains poorly understood by the teams that need it most. The new field of AIOps aims to narrow that gap for today’s leaders in IT Ops. AIOps offers critical capabilities to bring calm to overwhelmed IT Ops, NOC and DevOps teams and mitigates the fallout from today’s complex, noisy and dynamic IT stacks. This CIO Dive playbook explains how adopting AIOps can stem digital transformation’s deluge of work and give IT Ops leaders and decision makers pivotal insights otherwise unavailable.
