《Splunk:2023年IT可观测性预测报告(英文版)(28页).pdf》由会员分享,可在线阅读,更多相关《Splunk:2023年IT可观测性预测报告(英文版)(28页).pdf(28页珍藏版)》请在三个皮匠报告上搜索。
1、IT+ObservabilityHow a convergence of trends and technologies will reshape resilience in the year aheadPredictions 2023Splunk IT+Observability Predictions 2023|02The Fast Track to FoundationalThe world of IT Operations has been in tremendous flux for more than a decade.The worlds of IT Ops,we should
2、say:traditional ops,the many variations of DevOps,and the organizations that have pockets of both.All of these approaches grapple with the increasing complexity of infrastructure and applications.Hybrid,multicloud microservices,Kubernetes,serverless.Splunk IT+Observability Predictions 2023|03One of
3、the big topics in recent years has been observability,a modern approach to monitoring that provides complete visibility and context across the full stack of infrastructure,applications and the customer experience.Observability helps ensure digital health,reliability and performance.And its essential
4、 in todays hypercomplex environments.“Every organization has a digital presence,with more and more moving parts,”says Mala Pillutla,Splunks group vice president for observability.“Especially for larger organizations,the complexity is increasingly volatile.They need Kubernetes monitoring,serverless m
5、onitoring and more.The success of your entire digital ecosystem,and therefore your business,depends on observability to keep it all running.So observability is no longer a differentiator its a core competency.”She says she sees two basic types of sponsor for observability.“One is your traditional op
6、s team,a centralized,shared service that supports the entire org.The other is a loose grouping of AppDev,DevOps and SREs,and we tend to see them in cloud-native organizations where the teams are not centralized.The first group is focused on the transition from legacy,monolith architecture to cloud-n
7、ative tools,and the second is not playing that longer game.Theyre already there;they want new tools with out-of-the-box value.”Splunk IT+Observability Predictions 2023|04Simon Davies,Splunks SVP and general manager in the Asia-Pacific region,agrees.He says he sees a wide range of legacy and cutting-
8、edge organizations tackling the challenge differently.“A lot of organizations in Asia dont have the same legacy technology debt,allowing them to leapfrog into new technologies,”he says.“A lot of orgs are thinking about observability for the first time,with no legacy practice.”And others,says Dhiraj
9、Goklani,Splunks VP of observability,struggle to catch up.“Some folks are still asking,What is observability?And theyre still finding it hard to digest,while at the other end,its definitely understood,and a must-have for cloud-native organizations.”Our State of Observability 2022 report found similar
10、 variance in Europe,both among types of organization and among countries.Organizations in France and the United Kingdom trailed the average in observability adoption,on average,while Germany outperformed the global baseline.Splunk IT+Observability Predictions 2023|05Garth Fort,Splunks chief product
11、officer,notes that all this complexity is going to keep complexifying.“Our Predictions report last year talked about the growth of serverless,and thats continuing,”he says.“Were still very early in the adoption of true service architectures.More of our customers are building apps using microservices
12、 and containerized architectures,and the way you monitor performance when a container may exist for mere milliseconds is so different from earlier,less dynamic architectures.”Observability,then,will continue to support hybrid,multicloud infrastructures as they sprawl toward the edge and incorporate
13、machine learning,microservices,containers and all the rest,and as the very practice of IT operations continues to evolve.“And observability tools will be easier to use,despite that complexity,”says Ammar Maraqa,Splunks chief strategy officer.“These solutions need to support the journey of any indivi
14、dual organization across the various phases of cloud,and thats the only way these solutions will succeed.”Predictions and Survival Strategies for 202307 Observability Meet the new face of DX.08 IT Wheres the value?09 Automation The next differentiator11 Security and Observability The convergence is
15、happening,and itll make organizations more resilient.13 CTO and CISOs How two keys roles will expand15 Talent Broader recruitment,better training and more automation17 AI and ML The value is materializing.And ML Ops will help.19 AI and ML AI ethics is making strides.22 The Importance of Resilience25
16、 ContributorsSplunk IT+Observability Predictions 2023|07PredictionObservability will be the new face of digital transformation and digital experience.At the start of the digital age,“digital transformation”was a useful term for a broad set of modernization efforts that were expected to deliver a var
17、iety of significant payoffs:Reducing costs;streamlining software development,product innovation and service delivery;improving forecasting and other strategic functions;automatically keeping the break room stocked with coffee and trail mix.These days,digital transformation is both faster and more fo
18、cused.Especially since the arrival of Covid-19,DX efforts have focused on digital experience.“Digital transformation,for most organizations today,is about providing a highly available,seamless digital experience for the customer,”says Katie Bianchi,Splunks chief customer officer.Chief Product Office
19、r Garth Fort points to Splunk customer Papa Johns,whose pandemic-era transformation was discussed at our annual.conf event.“Pre-pandemic,40%of their business was digital.Post-pandemic,90%of their orders come in through some sort of a digital interface,”Fort says.“When any business sees that kind of
20、e-commerce shift,their mobile app and their payment infrastructure and all that becomes absolutely mission critical.A lot of our customers in different industries had that sort of sudden pivot during the pandemic,whether it was in dealing with more digital customer interaction or in enabling widespr
21、ead remote collaboration.”And dont expect a post-pandemic world where any of that changes back.“Accelerated digital transformation is here to stay,”says Splunk Chief Strategy Officer Ammar Maraqa.And he says that in a more complex IT environment,fast and Splunk IT+Observability Predictions 2023|08fu
22、lfilling experiences are harder to deliver.“The complexity of greater,faster digital transformation is a challenge for most organizations.The tools to manage that complexity become even more important.”Thats what makes observability the essential DX driver,Fort says.“Its not good enough to be respon
23、sive when customers are having a problem on your network,”he says.“If were all doing our jobs right,the IT Ops team can remediate DX problems before the customer even sees them.”A strong observability practice,he says,is the only way to get the alerts and insights that let you respond to a change in
24、 system behavior before the end user suffers.And not having those kinds of early-warning insights isnt an option.PredictionIT spending really has to deliver measurable value.Its not a prediction,but an observation,to say that 2023 dawns amid considerable macroeconomic uncertainty.That tends to make
25、companies more prudent about investments.While were not predicting that IT budgets will contract,theyll certainly be more closely scrutinized.“Right now,all the economic factors except employment point toward recession,”says Petra Jenner,SVP and general manager for Splunk in the EMEA region.“Compani
26、es are very concerned about investments in the face of a downturn.Theyre purchasing only whats needed right now,not making any forward-looking investments.”“Companies are thinking clearly about which tech investments they want to make,”Splunk CEO Gary Steele agrees.“Real value has to be delivered,pr
27、etty quickly.”We expect that value focus to center on digital experience,because nothing moves the needle more than direct improvements to how you serve your customers.And nothing moves it faster in the wrong direction than delivering a frustrating or broken interaction when better options are a cli
28、ck away.Splunk IT+Observability Predictions 2023|09PredictionWhen observability is table stakes,automation will be the next differentiator.Customer experience will shape digital transformation efforts in the years ahead.Focusing within the world of IT Operations,the big differentiator will be automa
29、tion.“Between the increasing complexity of systems and the huge shortage of tech talent,organizations will need a much greater reliance on automation just to keep up,”says Spiros Xanthos,Splunks SVP and general manager of observability,and a founder of observability startup Omnition.Xanthos notes th
30、at the greater need to automate IT operations coincides with improvements in machine learning.“Weve been collecting telemetry data for a long time,but that data was not structured enough for good automation,”he says.“The poor signal-to-noise ratio allowed us to do some automation through AIOps,but i
31、t was very limited.Now organizations are increasingly able to collect data at full fidelity.Thats going to change things dramatically,because the much higher quality data lets us build the models that we need essentially to automate processes right.”“The combination of AI/ML and automation is going
32、to be really big,”says Ammar Maraqa,Splunks chief strategy officer.“The need is really there,because of the shortage of skilled IT and security talent and the increasing pressure on costs.”Katie Bianchi,Splunks chief customer officer,also calls out talent issues.“Given ongoing talent shortages,”she
33、says,“automation enables you to scale domain expertise.”Splunk IT+Observability Predictions 2023|10She says machine learning will both simplify and improve all business outcomes,from application performance to improved security detection.“In all those cases,ML provides better and more accurate insig
34、ht so that we can see whats coming next and orchestrate the best response,”she says.“Making automation smarter is the next big leap,”says Mark Woods,our chief technical advisor in EMEA.“Its one thing to automate playbooks so that something a human would do happens at greater speed and scale.But the
35、next step will be the application of more generalized learning to automation.Not just learning for a specific task,but something thats trained up in one area that has applications across many areas.”That will include a large range of things,from alerts and responses to system outages and cyberattack
36、s,to streamlining peripheral processes and accelerating release velocity.Subho Majumdar,a senior applied scientist at Splunk,brings up process automation to more effectively onboard new talent.“We have a lot of documentation that a new engineer might need to read when they join the company,”he says.
37、“Imagine automating the onboarding process by using ML.Large language models could analyze all the internal documents and wikis to come up with role-specific recommendations for new hires.”From new hire orientation to chatbots your customers can actually chat with,to greater resilience against threa
38、ts and performance issues,expect automation to be the next big thing.And then a few years after that,just like observability,expect it to become foundational.Splunk IT+Observability Predictions 2023|11PredictionObservability and security data/tools will converge to create more resilient orgs.“There
39、are cases,especially in highly regulated environments,for segregating some security data.But generally,theres a lot of overlap between what was traditionally Operations and Security,”says Robert Pizzari,Splunks VP of security in the Asia-Pacific region.“Progressive organizations are finding ways to
40、optimize their data and tooling to accelerate time to resolution for any kind of incident.”“Where theres a strong push toward SRE-based engineering teams,a reliance on cloud-native tech,theres really no choice but to converge data and processes,”says Dhiraj Goklani,Splunks VP of observability in APA
41、C.“You have to go down the DevSecOps path and bring it all together,baked into engineering best practices.Otherwise its a disaster waiting to happen.”Spiros Xanthos,Splunk SVP and general manager of observability,sees the trend across the tech marketplace.“The industry is in consolidation mode,”he s
42、ays.“Consolidation of data and consolidation of tooling.”Essential data,whether its on-premises or in the cloud,cant be siloed.“The complex interconnectedness of applications running on the cloud makes availability and security tougher problems.”Theres a lot of talk about business resilience.Its the
43、 hot new buzzword.But its also much more than that.Weve identified two trends,covered in these next two predictions,that make meaningful contributions to the strength and durability of digital systems.The first is the convergence of data and tools from two formerly siloed aspects of resilience.Splun
44、k IT+Observability Predictions 2023|12As the data comes together,and teams collaborate more across the DevSecOps spectrum,theres a tooling shift as well.Point solutions that see and serve only a fraction of the situation arent helping resilience,and maintaining expertise across so many tools is a bu
45、rden on fast-changing organizations.Splunks 2022 State of Observability and State of Security reports both found that while the most mature organizations in both disciplines actually reported using as many or more tools than neophytes,the leaders had also dramatically reduced the number of vendors p
46、roviding those tools.“Were seeing that ourselves,”Xanthos says.“Our own suite of cloud products has a number of tools,and we tend to see the more advanced customers adopt more of those tools.”“Theres so much to be gained from this sort of convergence,”says Chief Product Officer Garth Fort.“At.conf,w
47、e talked to the new CISO of REI,who was familiar with Splunk as a security tool,and he found that REI was already using Splunk for observability,so he was able to easily bring it over for security,using the same tools and the same data.And that applies to any technology anytime teams can use a commo
48、n tool with a common set of data,theres going to be big benefits.”Splunk IT+Observability Predictions 2023|13Start with the chief technology officer:“The role of CTO is becoming more prominent,and taking more responsibility for technologies like observability that span DevOps and traditional IT oper
49、ations,”says Mala Pillutla,Splunks group vice president for observability.“Splunks early customers were mostly the NOC and the SOC,but with the rise of observability were seeing platform teams and centers of excellence under the CTO become a more significant constituent.”Chief Customer Officer Katie
50、 Bianchi spends most of her time talking to our customers and understanding how their IT and Security organizations contribute to overall business success,and she too has seen more leadership from CTOs.“Todays CTO has taken on more responsibility.As more and more organizations shift to the cloud and
51、 their observability needs subsequently grow,CTOs now have much more responsibility across a broad range of applications and infrastructure.”It makes sense to Spiros Xanthos,Splunk SVP and general manager of observability,and a three-time founder/CEO.“Usually the CTO manages the development organiza
52、tion,or maybe the SRE organization as well,so they have a much bigger responsibility usually in the operations of the cloud infrastructure and applications running on it,”Xanthos says.“At the same time,were increasingly seeing that the CISO is not responsible strictly for security anymore,because th
53、e tools and data that provide cyber resilience can be used for availability resilience.”Which brings us to the chief information security officer.Years of effort to tear down data silos,and to provide tools that let PredictionThe CTO is rising,and the CISO is expanding.The convergence of data and to
54、ols around the separate functions of IT resilience and cyber resilience are also affecting leadership,generally in one of two significant senior roles.First,many organizations are empowering the CTO,in part driven by the adoption of DevOps practices.And at other organizations,CISOs are taking greate
55、r responsibility for resilience in general,including not only combatting security attacks,but ensuring performance.Splunk IT+Observability Predictions 2023|14security teams see across the entire organization,have put CISOs in a great position to tackle any threat to IT systems.“Not only do CISOs hav
56、e these tools,”Xanthos says,“but obviously,one of the first questions that must be addressed when you detect an availability problem is,Is this a security incident?”“Were starting to see the organizational dynamics and definition of mission reflect the convergence at the data layer,”says Patrick Cou
57、ghlin,Splunks vice president of GTM strategy and specialization.“Job titles and job descriptions are changing to match,and the influence of the CISO is expanding across the enterprise to cover this broader definition of incident,meaning that the CISO is now weighing in on new decisions throughout th
58、e organization.”The CISOs move toward overall resilience and the CTOs more holistic responsibility for technology can happen at the same time within an org.Or not.“Its not a uniform shift,”Bianchi says.“Every organization achieves the balance it needs.But were definitely seeing the scope of those tw
59、o roles,CTO and CISO,expand.”With both options,we see organizations trying to achieve in their leadership what theyve spent decades trying to build in their digital environments:centralized,unsiloed oversight,to deliver greater efficiency,stronger resilience and better strategic insights.Splunk IT+O
60、bservability Predictions 2023|15PredictionHow well mitigate the talent crisis:Broader recruitment,training in principles not tool skills,and automation.“No matter what economic environment emerges,that very tight labor market wont change for security or IT,”notes Splunk CEO Gary Steele.As a result,c
61、ompanies are trying harder to throw a wide net for talent,rather than a narrow net for skills.Hiring curious problem solvers rather than people with the four specific certifications in the job rec.Dhiraj Goklani,VP of observability in APAC,agrees with that strategy,but notes that the problem isnt ju
62、st a lack of STEM graduates.“In many markets across APAC,we see organizations building next-gen architectures and tooling such as observability to attract and retain a talented workforce.”Thats where tools like GitHub Copilot will eventually allow smaller teams of developers to work faster,and allow
63、 less technical people to extend their abilities.(See our Exec Predictions report for the changes to IT that these large language models will bring.)The pandemic accelerated several notable trends in the human resources realm.Our Executive report dives deeper into the tension between recessionary fo
64、rces and employee demands,but here we wanted to highlight efforts to mitigate the talent shortage that forever plagues IT and security teams alike.Splunk IT+Observability Predictions 2023|16In addition to automation and hiring for talent,not narrow experience,software makers and the IT Operations an
65、d Security teams they serve will have to add a broader education component to their focused tool training.“Organizations need to rely on their suppliers to build the ecosystem of talent that will deliver business outcomes most effectively,”says Chief Customer Officer Katie Bianchi.“Companies like Sa
66、lesforce have been innovative because they recognized the need to build an ecosystem of talent that can use their platform to power major business outcomes.The goal is not to train teams just on using the solution,but also on using the solution to achieve business outcomes.”She says another onus on
67、the supplier is to make the product as easy to use as possible.“Were trying to move in that direction ourselves,”says Lily Lee,senior manager of security solutions strategy.“In the case of security,my team is looking at how we can make our product education more broadly applicable,so we are not just
68、 teaching you Splunk,but also how to be a better threat hunter,how to be a better tier one or tier two analyst.”This approach will build a better talent ecosystem,and make the companies that invest in such career-level training more attractive to the very talent theyre trying so hard to retain in th
69、e first place.Splunk IT+Observability Predictions 2023|17PredictionAI/ML value is materializing all around us.MLOps will bring structure and transparency to extend that progress.Years of artificial intelligence hype is finally paying off.“In the classic adoption curve,were past the hype and into the
70、 building phase,”says Mangesh Pimpalkhare,vice president of product management for the Splunk platform.“Were just getting to the point of real value being realized.”The average user of software,whether its a consumers video streaming platform or a business users customer resource management applicat
71、ion,doesnt realize that their digital experience is enhanced by machine learning.Sure,its all over the marketing copy,but the user experience is simply smarter,faster better.“The stage has shifted a lot in the last ten,even the last five years,”says John Reed,principal product manager at Splunk spec
72、ializing in AI.“In the early days,there was a lot of focus on the actual technology and manual,hands-on training.Thats no longer the goal or end point.AI is becoming the lubricant to make things easier.The focus is not on the nuts and bolts underneath;its about value.”“The software makers have figur
73、ed out the underlying complexity,those nuts and bolts,”Pimpalkhare says.“That lets customers focus on results.”But someone has to focus on the operational aspects of machine learning.Thus,a new discipline has emerged:MLOps.“MLOps is DevOps for machine learning,”says Joe Ross,a senior principal appli
74、ed scientist at Splunk.“Machine learning has additional complexities.Its a combination of software and data with a more complex lineage,so being able to characterize and describe how you got to certain outputs or outcomes so you can debug it or explain it to a regulator is more complex.Through MLOps
75、,were seeing the application of standard software lifecycle management practices to AI/ML.A lot of that is taking the shape of better tooling.”In fact,MLOps has spawned a sprawling industry of tools frankly,more than the world needs.“The MLOps market is completely saturated,”Reed says.“There are hun
76、dreds of vendors providing different aspects of MLOps to make it work end-to-end,and theres limited innovation in that market.There will be massive consolidation over the next couple of years.”Thats not at all to say that MLOps as a discipline is imploding.Far from it,Ross says.“If you track job lis
77、tings with DevOps in the title over time,the percentage has gone up quite a bit its no longer just the most technically progressive companies looking for those skills,”he notes.“That will happen with the MLOps world as well.”So start hiring and training today to get ahead of tomorrows talent crunch.
78、Splunk IT+Observability Predictions 2023|19PredictionIncreased concerns about ethical AI will affect how ML is trained and maintained and create new roles to do it.Our third look at the increasing pervasiveness of machine learning is in terms of evolving ethical practices.Stories of unintended bias
79、discovered in ML models regularly emerge.Fortunately,MLOps practices will bring more standardization and transparency,making it easier to assess models for fairness and to maintain and retrain to prevent biases from creeping in.For more,we turned to Subho Majumdar who may not have written the book o
80、n ML ethics,but he certainly co-wrote a book on the topic(Practicing Trustworthy Machine Learning,just published by OReilly).Majumdar is active with multiple community efforts Trustworthy ML initiative,Bias Buccaneers and AI Vulnerability Database which are looking to guide and educate ML practition
81、ers to develop ML models that are fair,safe,robust,explainable and that preserve privacy.Majumdar says that transparency,a necessary prerequisite of fairness and other values,is increasingly important.“Trustworthy ML involves operationalizing ML while incorporating human values into your ML pipeline
82、,”he says.“The goal is to build trustworthy ML pipelines from the beginning,so you dont face biases and other problems in your outputs after the models are deployed in the real world”.Splunk IT+Observability Predictions 2023|20Joe Ross points to model cards,which provide brief documentation about an
83、 ML model that increases transparency into the model and its outputs.A card would describe a models uses and limitations,review bias and ethical considerations,and detail the data and methods used to train the model.“And were seeing work at HuggingFace and other repositories to ensure that we can un
84、derstand the lineage of a model,”he says.“This moves us toward being able to make scientific demonstrations of bias in the model as part of a standard review process that checks for a list of known biases.”Bias checklists,he says,could become a standard part of ML quality assurance,both when the mod
85、el rolls out and over time,as additional data alters its outputs.In addition to new processes,concern with AI ethics will also create new jobs.Majumdar foresees specific team roles for an AI ethicist,and for a prompts engineer,who would focus on how prompts not only influence the accuracy of the mod
86、els outputs,but its potential biases.“As a community,were progressing toward providing transparency to whomever the stakeholder is,”Majumdar says.“If its the government,that would mean transparently abiding by any regulations and compliance guidelines.If the stakeholder is the consumer,there needs t
87、o be a way to file a ticket or a complaint about any concerns on algorithmic decision-making.There is already an AI Incident Database,which tracks things that went wrong with deployed AI/Splunk IT+Observability Predictions 2023|21ML models.Its kind of like the CDCs vaccine effectiveness database,whe
88、re you can submit any problem that occurred because of a vaccination.This is a complicated area,so it will take a few years for the ML community to figure things out.But I do think we are going to see more standards and best practices on trust and transparency in ML.”“Regulation is always behind the
89、 cutting edge technologies,whether youre talking about blockchain,ML,even ecommerce,”says Mangesh Pimpalkhare,vice president of product management for the Splunk platform.And hes hopeful that some of the worst outcomes weve seen to date around data privacy and technologies such as social media will
90、provide learnings to shape the next wave of technology.“The wildness of tech will continue,but it wont take as long to reach a responsible endpoint.Its in the industrys best interest to establish effective self regulation ahead of lawmakers.You see some of that now,with self-declarative responsible
91、AI initiatives.”Kriss Deiglmeier,who leads Splunks social impact initiative,agrees that regulation isnt an immediate answer,and that the public wont be content to wait.“AI and data ethics are becoming more important to business,and in the short term it will be the responsibility of business to make
92、their own progress,”she says.“More regulation will follow,but itll be different in each country or region.”Splunk IT+Observability Predictions 2023|22The Importance of Resilience The solution to a lot of problems in the ITOps world,anywhere on the traditional-DevOps spectrum,involves more time,money
93、 and people.Throw all that at most problems,and most problems can be resolved.Unfortunately,the turbulent global economy that is carrying us out of 2022 and into the new year means tighter belts all around.Splunk IT+Observability Predictions 2023|23But thats not so bad.Its not like IT teams are gene
94、rally throwing around cash like a Kardashian on Rodeo Drive,anyway.IT leaders have always understood how to make the most of limited resources and focus on the most necessary wins.And thats exactly the attitude were seeing across the board among our customers:quick wins and meaningful value.“Leaders
95、 I talk to are very focused on extracting as much value as effectively and quickly as possible out of their data,”says Chief Customer Officer Katie Bianchi.“And they want their suppliers to prescribe fast paths to value.”Splunk IT+Observability Predictions 2023|24“Digital transformation is one of th
96、ose things that you cant completely deprioritize,”says Chief Strategy Officer Ammar Maraqa.“But organizations will be more nimble,with more incremental funding and a sharp focus on results.”And a lot of that focus will be on resilience,both observability into performance or security of data and syst
97、ems.In terms of performance,its one of the chief values any digital organization can offer(and were all digital orgs now).“Systems have to be resilient,because customer expectations have grown exponentially in our high-speed world,”Bianchi says.“Application performance and availability are at the he
98、art of a great customer experience and a growing,innovative business.”But as high as expectations have grown,weve also seen the tremendous evolution of the technologies that help us meet those needs.From observability to automation to machine learning,we predict that IT teams will have the tools and
99、 techniques to succeed.Splunk IT+Observability Predictions 2023|25ContributorsKriss DeiglmeierKriss is Splunks chief of social impact and Splunk Global Impact.She is recognized as a social innovator,is a frequent speaker at global events,and was recently listed among the“50 Most Influential Women in
100、 U.S.Philanthropy”by Inside Philanthropy.Garth FortGarth joined Splunk in 2021 as SVP and chief product officer.He came from AWS,where he was director of product management and then general manager,after a two-decade tenure at Microsoft.Dhiraj GoklaniDhiraj is Splunks vice president of observability
101、 in APAC,where he applies more than two decades of experience in the tech industry to helping grow the observability market in the region.Katie BianchiKatie is Splunks senior vice president and chief customer officer.Previously,she was vice president of customer success at GE Digital,and hasheld lea
102、dership roles in product management,business development,services,marketing and operations across industries,including aviation,power generation,and oil and gas.Patrick CoughlinPatrick,Splunks VP of GTM strategy and specialization,comes from a deep security background.He was co-founder and CEO of Tr
103、uSTAR,a cyber intelligence management platform acquired by Splunk.Previously,he led cybersecurity and counterterrorism analyst teams for the U.S.government and private sector clients.Simon DaviesAs senior vice president and general manager in APAC,Simon is responsible for the full portfolio of Splun
104、k solutions in the Asia-Pacific and Japan markets.He is a veteran of Microsoft,Salesforce,Oracle and Citibank.Splunk IT+Observability Predictions 2023|26Petra JennerPetra is SVP and general manager in EMEA for Splunk.Previously,she held leadership roles at Salesforce,Microsoft,Checkpoint and Pivotal
105、.She holds a Masters Degree in Business and IT,and studied International Management at the Stanford Graduate School of Business in Singapore.Lily LeeLily is a senior manager of security solutions strategy at Splunk.She leads a global team of industry and product experts that support Splunks security
106、 business and serve as thought leaders and trusted advisors for Splunk customers,partners and the security community.Subho MajumdarSubho is a senior applied ML researcher in Splunks threat science group.Previously he was with AT&T Data Science and AI Research.A cofounder of multiple community effort
107、s in ML,Subho recently co-authored Practicing Trustworthy Machine Learning.Ammar MaraqaAmmar is Splunks senior vice president and chief strategy officer.Back in the day,he led corporate strategy at Cisco,was part of the M&A team there,held product roles at Dell,and started his career as a consultant
108、 with Bain&Co.Mala PillutlaAs GVP of observability,Mala leads observability business growth strategy and execution at Splunk.Before coming to Splunk,she held leadership roles at organizations including ServiceNow and IBM,where she led and scaled high-value GTM organizations.Mangesh PimpalkhareManges
109、h is vice president of product management for Splunk Platform.As a product executive,he has had more than 15 years of operating experience and more than eight years of venture capital experience in diverse software(SaaS),systems and technology companies.Splunk IT+Observability Predictions 2023|27Rob
110、ert PizzariRobert is Splunks vice president of security in the APAC region.Previously,he held leadership roles at Check Point,FireEye,Trustwave and Cisco.John ReedJohn is a Principal Product Manager at Splunk.His responsibility includes the strategy and execution of initiatives across Machine Learni
111、ng and Core Search.Previously,John was a product manager at AWS,where he worked across the AI/ML service portfolio.Joe RossJoe is senior principal applied scientist at Splunk.Before joining Splunk,he worked in senior data scientist roles at SignalFx(before it was acquired by Splunk)and Ayasdi.He has
112、 a background in mathematics,and has publications in pure math and statistics.Gary SteeleGary is the president and CEO of Splunk and a member of our board of directors.Prior to joining Splunk in 2022,Gary was the founding CEO of Proofpoint,where he led the companys growth from an early-stage start-u
113、p to a leading,publicly traded security-as-a-service provider.Mark WoodsSplunks chief technical advisor in EMEA,Mark has been an engineer,consultant,entrepreneur and CTO.He helps executive teams and international policymakers understand the seismic potential of data-driven approaches.Spiros XanthosS
114、piros is the general manager of observability at Splunk.Previously he was the CEO and Founder of Omnition,an observability platform for cloud-native applications that pioneered no-sample tracing and co-created OpenTelemetry until it was acquired by Splunk in 2019.For more 2023 predictions,see the pu
115、blic sector,leadership trends/emerging technologies and data security reports.Splunk,Splunk and Turn Data Into Doing are trademarks and registered trademarks of Splunk Inc.in the United States and other countries.All other brand names,product names or trademarks belong to their respective owners.2022 Splunk Inc.All rights reserved.22-25649-Splunk-IT Obs Predictions 2023-EB-107Learn More