FogLogic | Predictable SAP Software Solutions for Enterprise Modern Ops
FogLogic upgrades your enterprise applications to run with modern ops. Systems become reliable, with increased availability, and running error-free. Built for SAP BASIS enterprise applications. Automation, digital transformation, cloud migration, budget reduction and more.
f you are educating yourself about AIOps and trying to get your arms around the various solution options, you are probably tearing your hair out by now. There is no shortage of vendors with extremely similar marketing messages, value propositions, and benefit claims. While this is common in mature markets, it is strange for nascent technologies like AIOps.
There are several possible explanations and contributing factors. First, the AIOps market’s expected growth is attracting so many entrants that they struggle to differentiate themselves. Also, in trying to appeal to executive decision makers they may over-simplify and genericize their messages.
Finally, AIOps vendors share a common vision of autonomous, self-healing systems and the ability to address all application types, stack layers, and deployment scenarios. This may lead to converging vendor claims and messages when marketeers fail to distinguish between product aspirations and reality.
In fact, there isn’t a single vendor solution today that can tackle the spectrum of IT operations challenges. The world of AIOps tools is therefore very broad and multi-dimensional, which means you have a lot of choices with distinct strengths and weaknesses once you pierce the website veneer. But you can make sense of the market and narrow the field of relevant solutions by first identifying the problems you are trying to solve, and then developing a solution landscape populated only by vendors that address those problems.
What Problem Are You Trying to Solve?
Before you start to think about solutions, you should first perform an IT Operations self-assessment to determine if your company is ready for AIOps. Most companies make the mistakes of not properly identifying the problem they are trying to solve, determining if the problem is worth solving, and understanding if the organization is positioned to solve it. If you do a good job with the first part of your readiness assessment (problem identification), you will have an easier time narrowing the field of relevant solution providers.
Build Your AIOps Solution Landscape
Once you have completed your self-assessment and successfully made a business case to pursue an AIOps initiative, you will be ready to begin evaluating various solution options. A good way to do that is to build or adopt an AIOps solution landscape. This will put the problem you are trying to solve into perspective by illuminating what problems you are not solving, as well as identifying potential integration points or adjacent solutions that can represent “next steps” in a multi-year IT Ops modernization journey.
The Challenge of Building a Solution Landscape
There are so many ways to slice and dice the AIOps market that you will find it difficult to build a simple and logical model within which you can neatly map various solution providers (e.g. two-dimensional matrix or process flow). You may have to consider solution dimensions such as:
Application layer versus infrastructure focus
Readymade solutions versus development platforms
SaaS solutions versus on-premise or hybrid tools
Native AI technology versus legacy tool extensions
Domain-aware contextualization versus pure data-driven AI
FogLogic has developed a landscape that you can use as a starting point for building your own personalized solution map geared to your own challenges and pain points.
The FogLogic AIOps Solution Landscape
The FogLogic landscape blends a basic IT operations process view (deploy, monitor/analyze, fix) with some other key delimiters like solution stack layer.
Like most others, this landscape is not perfect, and some vendor solutions may transcend some of the boundaries. But to keep the map simple, a good rule is to map vendors to the solution landscape component that aligns best with their core strength (which is often largely a function of their product heritage). This ensures you are dealing with best-in-breed tools. Note also that your solution stack may include a business process layer above app/services. Since this is an emerging area with less proven solutions and for the sake of simplicity, it is not represented below.
The FogLogic approach to AIOps is from the application service-level perspective and its solution focuses on mission critical, third party enterprise applications like SAP, in contrast to APM tools which target in-house/custom developed systems with a DevOps perspective. FogLogic’s full-stack visibility provides a holistic analytics data set, while domain awareness provides the enterprise application context essential to delivering rapid incident root cause isolation and proactive recommendations. This allows IT Ops teams to focus on incidents that impact the business and not get distracted with alerts or incidents that don’t affect end-user service levels.
If you are looking at solution alternatives, you may be getting ahead of yourself. Checkout this guide to determine if your company is ready to move forward with your AIOps initiative.
AIOps is a category of cloud-based software systems that leverage artificial intelligence (AI) to transform IT Operations by redefining the processes and tasks associated with managing the IT incident lifecycle. AIOps helps significantly reduce business disruptions by increasing system availability, minimizing manual and error-prone work related to performance monitoring and incident root cause analysis, and enabling proactive and automated resolution.
Many organizations have recognized the broad benefits of AIOps and are moving forward with their AIOps initiative and deployments. But what are the key use cases which are driving these early adopters?
Enterprise are using AIOps to:
Modernize IT Ops. AIOps can transform IT Operations by redefining its component processes to reduce major incidents, dramatically shrink resolution time and free-up resources to focus on planning and innovation. New component processes like dynamic behavior profiling, anomaly detection, AI-powered incident contextualization, and pro-active resolution with closed-loop learning allow IT Operations to automate mundane and routine tasks like managing alert fatigue, time-consuming and error-prone activities like data consolidation and contextualization, and trial and error remediation. Of course, this use case could just as easily be labeled IT process improvement, IT productivity improvement, or IT Ops automation.
Drive Digital Transformation. By reducing the need to deal with incident resolution, AIOps supports digital transformation by allowing teams to focus on the new initiatives. In addition, by providing a baseline of performance (“before picture”) that can be used to set goals and expectations for digitally transformed processes (“after picture”), AIOps serves to de-risk your transformation program. After the transformation, AIOps embeds modernized operations into your newly digitalized processes to ensure that you are always operating in a Known Good State.
Thus, with AIOps, you will not only meet your business partners’ need for always-on applications, you will lead by example as you champion digitalization of the enterprise, and free your limited IT resources to deliver on additional digital transformation projects.
Migrate to the Cloud or HANA. Like digital transformation scenarios, system migrations to new environments pose several obvious risks which can be mitigated through AIOps. Use AIOps to empower your resources to focus on the migration without firefighting distractions and establish baselines for “before and after” Known Good States to achieve continuity in service levels.
If any of these use cases sounds intriguing but you are not sure if your enterprise is ready to move forward with an innovative technology like AIOps, we encourage you to perform an AIOps readiness self-assessment using this guide.
While AIOps as a technology category is still in its relative infancy, there are signs that it is poised for rapid growth. In this post, I will look at growth signals from three sources: industry analysts, enterprise IT organizations, and vendors.
What are the analysts saying?
According to Gartner, 40% of organizations expect to have strategically implemented an AIOps platform to enhance performance monitoring by 2022. Further, Gartner predicts that large enterprise exclusiveuse of AIOps and digital experience monitoring tools will rise from 5% in 2018 to 30% in 2023. “IT leaders are enthusiastic about the promise of applying AI to IT operations, but as with moving a large object, it will be necessary to overcome inertia to build velocity”, said Padraig Byrne, Senior Director Analyst at Gartner. “The good news is that AI capabilities are advancing, and more real solutions are becoming available every day.”
This translates into a global AIOps solution market that is expected to grow from USD 2.55 billion in 2018 to USD 11.02 billion by 2023, according to MarketsandMarkets. This represents a Compound Annual Growth Rate (CAGR) of 34.0% during the forecast period (2018–2023).
What’s driving Enterprise IT?
Customers tell us that business disruptions are becoming increasingly costly and service-level expectations are increasing as a result. At the same time, demands on IT Operations are accelerating due to the growth of IT complexity, digitalization, and other strategic initiatives such as Cloud migrations and M&A integrations. Our customers also believe that they cannot keep growing their IT resources to keep up. This is consistent with 451research.com  data, which shows that IT infrastructure teams are seeing a 64% increase in work with no change in the number of staff. So, it should come as no surprise that 86% of IT Ops professionals think that by 2020 their organizations would need intelligent automation to keep up with business requirements [Lawless Research]. These requirements include the ability to better manage incident alert fatigue, make sense of the growing amount of incident and metric data, and more proactively remediate system performance and availability problems.
Enterprises are increasingly looking to AIOps for answers. This was evident in the turnout for a recent ASUG (Americas SAP User Group) community webcast entitled “Three Next Practices that Leverage AI/ML to Optimize SAP Application Performance” that FogLogic presented with global bio-pharma leader Boehringer-Ingelheim. During the webcast – which attracted ~250 registrants – we asked enterprises “What best describes where your company is in its AIOps journey?” Not surprisingly, most are still in the early educational phase, and 75% are just getting started. But virtually all respondents to a subsequent question saw potential from AIOps in areas like improved alerting, smarter root cause analysis, and workflow automation. Less than 3% felt existing tools are good enough (see chart below). The general sentiment is that legacy tools won’t cut it moving forward and the future is AIOps.
What are vendors up to?
A recent industry research report listed over 20 AIOps vendors. However, we know of another 10-15 vendors who claim to offer an AIOps tool that didn’t even appear on that analyst’s radar. No matter how you define who is and who is not an AIOps vendor, the large number of vendors claiming the AIOps mantle is a clear indication that the market is poised for growth.
Enterprises will find it a challenge to understand how the various solution options are positioned. Solution segmentation dimensions may include:
Native AI technology versus AI added on after product maturity
SaaS solutions versus on-premise or hybrid tools
Solutions versus development platforms
Application layer versus infrastructure focus
Domain-aware contextualization versus pure data-driven AI
For example, if your focus is on application performance monitoring, anomaly detection, and alerting, several mature APM vendors are adding AI capability and repositioning their offerings as AIOps (e.g. AppDynamics). If you want to leverage a single vendor to apply AIOps capabilities to a broad array of problems, development platform providers like Splunk offer you the ability to build to suit.
FogLogic believes AIOps is most effective as an out-of-the-box SaaS solution that leverages application domain knowledge to provide highly contextualized insights from data collected across the stack. Consequently, we have built FogLogic to be a domain-aware, “AIOps In-a-Box” extendable SaaS solution for enterprise applications that is available today for SAP environments.
And, what about you?
While it may be comforting or unsettling to learn what analysts, industry peers, and vendors are saying and doing, it only really matters what you are planning to do with AIOps. A good place to start is to check out our educational resources on IT Ops pain points and solutions and our self-assessment guide: Are your Ready for AIOps?
Since the days of the industrial revolution, the displacement of manual tasks by technological automation has been a cause for concern in some corners and the net benefit to society has been a topic for debate. However, history has shown that every major technical advance has created a greater number and variety of jobs (even as it has obsoleted some jobs). As a result, most people at every level of any organization understand the need to constantly drive process and cost efficiency to remain competitive and survive.
Nevertheless, there is a new born sensitivity to the plight of workers displaced by the automation and globalization that technology facilitates. As a result, Silicon Valley, historically viewed as an iconic force for progress, is being scrutinized for both the intended and unintended negative consequences of its technologies on the livelihoods of workers across economic sectors.
But, what if the emotions of the day override the long-understood truths and capitalistic principles that have guided the largest economies in the world? More specifically, how do you defend AIOps from stakeholder challenges driven by fear of job loss?
Here’s the reality. Service-level expectations keep increasing and demands on IT Operations keep accelerating due to the growth of IT complexity, digitalization, and other strategic initiatives such as Cloud migrations and M&A integrations. Our IT resources simply cannot keep growing to keep pace with demand.1 We need AI-driven insights and automation not just to meet rising stakeholder expectations but to do so within our budget and headcount constraints.
Second, our IT Operations team members will welcome anything that makes their lives easier. AIOps will help them address the specific day-to-day frustrations associated with alert fatigue, making sense of a deluge of APM data, and trial and error remediation. Moreover, because the parts of the IT operations processes that can be fully automated2 are the most routine and mundane, AIOps will give them more bandwidth to focus on higher value-add functions like planning and innovation, which will enrich their job satisfaction.
Third, forward looking IT leaders welcome and embrace innovative technologies like AIOps because they recognize the opportunity to deliver better outcomes with existing resources.3
Finally, the hard truth is that the majority – as much as 70-80% of IT budgets go to running and maintaining the environment. To remain competitive, we must find ways to pay down that legacy debt so that more of our IT budget can be redirected to innovation and digitalization. AIOps kills two birds with one stone – we gain experience and show the way by digitalizing our own IT operations process, and free up our resources to support innovation and digitalization initiatives for our business stakeholders.
Companies that don’t embrace automation risk find themselves obsoleted by competitors that do. This results in larger, more wide ranging and longer lasting job losses than any short term perturbations from automation. For IT, automation through AIOps is rapidly becoming table stakes and won’t remain optional for much longer.
One of the biggest mistakes IT solution champions and sponsors make is not properly identifying the problem they are trying to solve, determining if the problem is worth solving, and understanding if the organization is positioned to solve it. AIOps is no exception.
This post provides a simple framework for making these assessments before you invest too much time and effort in the process without getting a good early read on the likelihood of achieving success.
The framework consists of four components:
Problem identification is about having clarity regarding what problem you are solving and its underlying cause. Often, in depth internal discussions about solutions become disconnected with problems. This is a major reason why technology initiatives often get shot down during executive review. To demonstrate to yourself and potential stakeholders that you have clarity regarding what problems an AIOps initiative will address, you will need to assess how AIOps relates to your performance metrics, challenges in achieving those metrics, root causes of problems you are trying to solve, and how AIOps benefits map to all the above.
This is the exercise of connecting problem and pain point symptoms and root causes with AIOps solution benefits and capabilities, and then linking these capabilities with and key business priorities, initiatives, or metrics. Without a clear line of sight between technology solution investments and executive management and priorities ̶ like resource utilization efficiency, service-level improvements or strategic projects like Cloud and HANA migrations or M&A integrations ̶̶ it is unlikely that your initiative will gain executive traction.
Business Case Viability
This focuses simply on determining whether a reasonable business case can be made (i.e. can the business value be quantified?) and whether that process will be relatively straightforward. This translates into validating that AIOps process efficiency improvements can be measured and quantified in terms of financial benefits. This is not the exercise of making the business case itself (e.g. developing a financial justification model and ROI estimate). That comes later. The goal is for your business case is to be viable based on hard financial benefits (i.e. savings and cost avoidance in the case of AIOps) and not rely on soft or hard to model financial benefits.
Ability to Execute
This refers to the probability that an initiative will succeed, based on factors like technology-adoption culture at the executive and end-user level, commitment and skillset of initiative champions, and technical concerns. Even if an IT problem is well understood, its solution is strategically aligned, and a business case can be made, your organization still may not be able to move forward. For example, if your organization is typically a technology laggard, AIOps may not be right for you. Other consideration may have to do with workforce culture and agility, IT ops process maturity, legacy systems and IT, organizational structure, and/or the roll of outsourcers.
Next Step: Do an AIOps readiness self-assessment.
FogLogic has a published a Solution Guide Entitled: Are You Ready for AIOps? A Self-Assessment Guide which you can access here. The guide provides specific questions, 17 in all, you can use to test your readiness for each of the four framework components described above.
How often do you think of failed giants like Blockbuster, Nokia or RadioShack these days?
Don’t think your business is at risk of losing its edge?
The business world is moving faster than ever. Industries from retail to hospitality to transportation are being disrupted by the likes of Amazon, Airbnb, and Uber.
Customers are demanding better products at lower prices and with better service. And political rearrangements across continents have far-reaching economic implications.
Businesses which fail to get ahead of these changes will crumble under the pressure.
What this means in the world of IT Ops
Change is the new normal and businesses must anticipate and adapt to these upheavals.
To respond to the needs of your business partners, your application footprint mushrooms and grows more complex.
This relentless change increases the SAP IT Ops workload. It creates upward cost pressure. And it increases the risk associated with managing an ever-evolving IT environment.
You must deal with ever faster release cycles and distribution of applications. Demands for data integration across these applications. You deal with systems consolidation or separation resulting from acquisitions and divestitures. Looming migration to HANA or the cloud. And more. As a result, your SAP infrastructure is constantly transforming.
Increasing complexity means more systems and applications, which means more tools to monitor them. And when you install more monitoring tools to try to get ahead of potential problems, what do you get – more alerts!
In fact, many companies report over a 100x increase in alerts over the past 5 years.
Most of these alerts are not even actionable because they fail to take context into account. It will come as no surprise to anyone “in the know” that nearly 90% of these alerts go ignored.
In the battle of alert quantity versus quality, many IT teams send the tsunami-like influx of alerts straight to their trash folder.
Can you manage this new complexity or get a firm handle on the state of your ever-changing SAP environment?
Can you answer the important questions?The fundamental questions to reach a Known Good State. Partial answers pose prolific problems to enterprise systems.
Can you say with confidence that your systems are performing exactly the way you expect them to perform?
If your answer isn’t a resounding yes, you’re at risk.
Every new application, infrastructure component, cloud deployment and smart device complicates your environment. And on top of that, Ops teams operate under strict budget constraints even as stakeholders expect more and more.
The time to act is now.
Own the Known Good State
What if your SAP environment:
Is always available
Has known performance
Runs error free
Has known resource requirements
And runs with known economics
Companies in a Known Good State run operations comfortably despite budget constraints. They meet and exceed ever-increasing SLA demands. And they reduce business risk whenever a system hiccup presents itself.
Could you be a better strategic partner to the business? Help shape the future? Would this give you confidence and peace of mind?
Equip your team with the right insights and there is no limit to the obstacles you can overcome. These are the benefits of being in a Known Good State. By reading this you’ve taken the first steps. You’re halfway there!
Imagine your SAP systems always available. Always running error free, with known performance.
What a dream that would be.
But is achieving this Known Good State more than just a dream?
Is it possible to reach a Known Good State – the imperative in the new reality of the dynamic enterprise IT – with your systems?
Or is it simply too tall of a mountain to climb?
Most companies will never reach the summit of this lofty goal. But, yes – it is indeed achievable.
To climb Everest, you need the right equipment. To achieve your Known Good State is no different.
It’s not you… it’s your tools
Your “equipment” – whether monitoring tools like Solution Manager, Tivoli or Wily, or service management tools like Remedy or ServiceNow – isn’t crummy. But these tools were built for an earlier era when static application environments were the norm.
Today’s world of enterprise apps is much different.
Unlike Everest – which grows 4 millimeters each year – your IT environment is in intense flux every day. Legacy Ops will never take you to the top.
Too many tools
Most companies use a mix of tools to manage their application environment.
SAP tools. Database tools. Security tools. Infrastructure tools. There’s no shortage of tools.
When climbing a mountain, you only take what’s necessary. Everything else weighs you down. The same is true for your IT Ops.
Yesterday’s tools are clunky.
They don’t share data easily with each other. They don’t give you full stack visibility. And the data that is collected is raw and unrefined.
While legacy ops tools are great at collecting data, they’re terrible at transforming it into knowledge and insights. You need people to do this.
In a world where an hour of application downtime costs between $500,000 and $1 million (IDC), time is of the essence.
Bulking up on infrastructure or hiring more people isn’t practical either considering the immense budget pressures which span across all IT organizations.
While outsourcing has its benefits, there’s little evidence that it’s the answer to ever increasing demands for better service levels.
Every option is limited by its dependence on inefficient legacy monitoring tools.
Achieve the Known Good State with Modern Ops
Modern Ops – with machine learning and artificial intelligence – is the only effective way to reach the summit.
Your system needs to be lean and have the following 6 characteristics:
Your people will come and go. Vacations. Marriages. Transfers. Retirement.
Your consultants can’t promise to be there forever and neither can your employees. What happens to that valuable tribal knowledge when those in the tribe move on?
Modern Ops will stay by your side as long as you like. Making not just tribal knowledge, but tribal insights, accessible to everyone on your team – even the newbies.
With Modern Ops, you no longer need to worry about slow, manual and people-intensive analysis. You can rely on automated, continuously running analysis and correlation that does the grunt work for you.
Learns all the time
Modern Ops tools work around the clock, 24/7. Not just monitoring, but profiling, analyzing and generating insights.
Legacy tools are a headache to implement and manage. Modern Ops tools are a breeze to set up and are 100% automated.
Two steps ahead
You can’t expect to grow when your focus is on fighting fires. Modern Ops auto-detects upcoming problems so you can deal with them before they get out of hand.
You still play a vital role
Your feedback is the fuel that drives Modern Ops to get smarter over time.
You’re still the hero, now you just have stronger superpowers to get the job done.
Custom fit for you
Every organization has its unique mountain to climb.
As time goes on, you’ll be able to think more critically about your system as a whole. Because you’ll have more time to think strategically, and because under the hood, Modern Ops puts the pieces together for you.
Diligent iterations and continuous profiling, time after time, molded to your specific environment.
The longer you use a machine learning-based approach, the more efficient your operations will become.
Get to the Known Good State. Stay in the Known Good State. Own the Known Good State.
IT Leader’s Guide on Leading Like a Lion
True leadership is hard to find, especially in IT.
Strong leaders start as listeners. They are hyper-aware of their environment and learn from their predecessors. But why do most business leaders believe effective IT leaders are few and far between?
Most leaders in your average industry have a steady roadmap to success. The path is never easy, but it is predictable. This is not the case for those leading IT departments today. IT leaders no longer have the luxury of a reliable roadmap. Today, total tectonic shifts are more prevalent than ever.
Historically, 95% of IT Directors managed their functions with a top-down approach – they establish policies and procedures and hope that the effects trickle down the power pyramid.
Why did IT managers feel the need to employ this approach?
Let’s first understand what it means to be an IT leader. The job of an IT leader is never done. The pace of change in their industry is growing more rapidly than ever. They often operate with constrained budgets and increasingly sparse talent. And if they can’t keep up with their business partners’ demands, they will be replaced.
Put simply, those in charge of IT functions deal with a tremendous amount of stress. Flip the pyramid on its head and you’ve got a representation of stress and instability.
While the top-down method may have worked 10 or 15 years ago, it’s a different story today.
We’re taught that good leaders carry the load. But great leaders understand the key to success: empowering others.
In the words of Alexander the Great: “I am not afraid of an army of lions led by a sheep; I am afraid of an army of sheep led by a lion.”
The more competent your employees, the easier your job will be. And given the severe IT talent dearth, developing their skills needs to be your number one priority.
Your initiatives won’t create more hours in the day, but they can increase job efficiency.
L1 employees dedicate a mere 7% of their time developing skills that move them up the work ladder. The other 93% of their time is spent on mundane, monotonous tasks, like monitoring.
With today’s technology, many of these routine tasks can be automated. Automation frees up employees to do more complex tasks and develop their skills.
See how automation alleviates pressure across each layer of the pyramid?
The Best IT Leaders are Expert Anticipators
The machine learning movement draws many parallels to surfing.
Big waves like this are scarce and scattered. C-level execs who align themselves early with this trend are at a significant advantage to outperform their competitors. Those who wait for the wave to break will be left behind or taken under.
Maybe there will be plenty of time to make the decision. But consider the last big business wave.
“Surfing the net” took on a whole new meaning for enterprise executives when the internet wave began to swell in the 1990’s. Early executives position their proverbial paddle boards to set up shop, while other execs watch from the shore. The shoreline execs paddle out as they see the cresting wave.
By then, it’s too late.
Despite starting off small, companies like Netflix and Amazon rode the internet wave to relevance, leaving Blockbuster and Barnes & Noble in their wake.
Is the machine learning movement really as big as the internet? Netflix isn’t taking any risks. They’ve made moves toward machine learning adoption since as early as 2014.
At the end of the day, the top 5% of IT executives separate themselves from the rest of the field in two major ways.
They know how to empower employees with scalable initiatives.
They anticipate major trends and take action before the wave breaks.
IT leaders don’t need to go searching for business functions to power with AI. In fact, there’s a huge opportunity that lies right under their noses.
SAP infrastructure transformation is as certain as death and taxes.
The world has three certainties: death, taxes, and SAP infrastructure transformation.
But just because something is inescapable, doesn’t mean that we can’t prepare for it. For death – meet with a lawyer and write out a will. For taxes – get a tax professional and keep track of your finances.
Dealing with an ever-changing infrastructure has one key difference.
While changes are sure to happen, you can’t predict how those changes will affect your business.
There are hundreds of constantly changing metrics and a million interactions to keep track of within your IT environment. Even if you’re not currently undergoing HANA or cloud migrations, the changes that happen every day will affect your systems in a major way.
We’re talking data consolidation, disaggregation, new functionality, rapid release cycles. Trying to figure out what the impact will be, and when something might happen, will make your head spin.
Currently, the only available way to confront an ever-evolving IT ecosystem is to throw more resources at it. More CPU, more storage, more monitoring tools, more people.
The problem is that these alternatives are neither scalable nor reliable.
Those of you on the frontlines fighting fires are nodding your heads right now. You know you’re playing one big game of catch-up and eventually, you’ll run out of manpower to put out these fires.
Not to say that your skills and procedures won’t evolve along the way. They will. But not at the pace you need to keep up.
Think about how we deal with the flu.
Every year, the top minds in science set out to stop the flu virus from breaking out. Every year, scientists get better at predicting in what ways the flu virus is going to evolve.
It’s a challenging problem because they have limited time and can’t afford to start from scratch each year. This is why they must analyze mounds of data on both healthy and affected people.
A few years ago, it would take you 1 week to recover from a flu attack. Now, recovery time is double.
The same is true for your IT Applications.
Any system outage today has a far more severe effect than it would have had 5 years ago.
Will you get engulfed in flames of your ever-adapting IT infrastructure?
It depends on your approach. Einstein said, “insanity is doing the same thing over and over again, but expecting different results.” If you continue to put 100% of your efforts into fighting fires, there is a 100% chance that at some point you’ll fail.
However, if you re-think your approach, you have a shot!
What it boils down to is proactivity. Doing something before things get out of hand.
The essence of proactivity is measuring your systems before noticeable problems arise. But it’s not enough to just monitor at all times – that’s what you’re already doing, correct? – because you need to understand how your systems react to different types and volumes of loads at different times. You have to look at the environment holistically, not each part in isolation, and understand how the parts fit together. Finally, you need to adapt to changes in your system environment.
To be proactive you need the right tools, so you can have a system that actually learns.
Dealing with change is hard, but in the context of your SAP Infrastructure, change is unavoidable. Many processes which currently work within your SAP environment will fall short when dimensional deviations are introduced – it’s inevitable.
The difference between a minor glitch and a major outage could end up costing your company millions.
The numbers are in. Your company’s stock has taken a 4% hit since last quarter and you get the call from HQ: the IT Department needs to cut its spending by 7%. How do you deal with budget reduction when it hits?
Your team’s competent, and they work hard. But can your IT Ops really maintain the same production level with fewer resources to rely on?
There are so many factors to take into account without much cushion for error. What if HQ calls again and cuts department spending by an extra 2%?
Unfortunately for IT professionals, this budget reduction scenario is all too common. Budget reductions in IT are becoming the norm and will continue to occur. The TSA’s IT Ops suffered a $65 million “pat down” by the US Congress.
Growing companies experience these pressures as well.
Imagine how many painful system integrations Amazon must do since they bought Whole Foods for over $13 billion.
All the while, stakeholder expectations are continually on the rise.
Of course, your team will become more efficient over time, but doing more with less will catch up to you.
We call this harsh reality “the gap” and it’s widening every second.
the IT ops gap
With current monitoring and analytics tools, you’ll be stretched and squeezed till the bitter end.
Does it really have to be this way?
Enter Modern Ops
Modern Ops encompasses machine learning and automation that adapt to your environment.
The benefits are two-fold.
Once Modern Ops is in place, routine tasks will be automated, freeing up your team to work on high-impact tasks.
Modern Ops helps maintain your environment in a Known Good State. It automatically identifies any deviations from the Known Good State to help you nip underlying problems in the bud before they grow to affect the business in a major way.
What’s more, it integrates with your systems and provides curated insights that are unique to your IT environment. You’ll have access to a whole new view of your operations. Your tailored insights will get more accurate the longer you use Modern Ops. Like a well-fit glove.
No more cutting corners or playing catch-up. Breathe easy. Lose less hair – it’s time to exceed expectations.
You too can be on your way to the Known Good State.