1、2024 DynatraceThe state of observability 2024Overcoming complexity through AI-driven analytics and automation strategies Whats insideCHAPTER ONEMulticloud environments are increasingly distributedCHAPTER TWOFragmented monitoring and analytics cant keep upCHAPTER THREEKubernetes adds to the complexit

2、y of technology stacksCHAPTER FOUROrganizations are drowning in dataCHAPTER FIVEA mature AI,analytics,and automation strategy is essentialCONCLUSIONThe Dynatrace differenceMethodologyIndustries spotlightAppendix:Global data summaryIntroductionIn 2024,digital transformation continues to accelerate as

3、 organizations seek new ways to build competitive advantage.Against this backdrop,multicloud environments and Agile delivery practices have become mandatory for keeping up with the speed of the market,providing the scalability and agility that organizations need to drive innovation successfully.Howe

4、ver,the complexity introduced by these modern approaches has made it difficult for IT and security teams to manage their applications effectively.The dynamism of multicloud environments has created an explosion of data that is beyond humans ability to capture,analyze,and act on.As a result,teams str

5、uggle to access the insights needed to drive faster,better,and more secure innovation,which hinders their efforts.This report explores these challenges in greater depth and highlights how IT and security teams can overcome them with a mature AI,analytics,and automation strategy.It suggests that thes

6、e teams need to move beyond traditional AIOps models to access the real-time insights that help drive lasting business value.The state of observability 2024|2The state of observability 2024|3CHAPTER ONE Multicloud environments are increasingly distributed Organizations continue to embrace multicloud

7、 environments to achieve the necessary speed,scale,and agility to keep up with faster digital transformation and drive secure innovation.As this trend continues,technology stacks are growing in scale and complexity.An array of different cloud-native services and platformsdelivered by multiple provid

8、erssupports even the simplest digital transaction today.This makes it increasingly difficult for IT and security teams to monitor and manage their applications by optimizing user experience and improving resilience.On average,these environments span the following:Hyperscale cloud service providers,s

9、uch as Amazon Web Services,Microsoft Azure,and Google Cloud PlatformLocal infrastructure-as-a-service(IaaS)providersPrivate IaaS environments (hosted on premises or with traditional data center providers)345The number of different platforms and services spanning the average multicloud environment12T

10、he state of observability 2024|4of technology leaders say the complexity of their tech stack has increased in the past 12 months,and 51%say it will continue to increaseof technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experienceof technology l

11、eaders say multicloud complexity makes it more difficult to protect applications from security vulnerabilities and attacks88%87%84%IT and security teams find it increasingly difficult to monitor and manage their applicationsThe state of observability 2024|5CHAPTER TWO Fragmented monitoring and analy

12、tics cant keep up The continued reliance on fragmented cloud monitoring tools and manual analytics strategies creates a further challenge for IT and security teams.With no single source of truth or real-time insight,these teams increasingly struggle to access the answers needed to accelerate innovat

13、ion and optimize digital services effectively.They are forced to spend too much time piecing together different sources of information from various monitoring tools and then manually querying the data for insight.This is a complex and time-consuming process that distracts teams from driving innovati

14、on and creating new value for customers and the business.Whats more,the effort involved in managing all these tools,platforms,and dashboards means that teams often monitor only their mission-critical applications.This creates myriad blind spots across the technology stack,where teams are unable to a

15、ccess insights,making it easier for problems to arise.of technology leaders say increasing tool,platform,and application volume substantially augments multicloud complexitythe number,on average,of observability or monitoring tools that organizations use to manage applications,infrastructure,and user

16、 experienceof technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis detracts from innovationof applications are fully instrumented for end-to-end observabilityof technology leaders are currently or will be prioritizing a reduction in the numbe

17、r of monitoring and observability tools they use in the next 12 months81%81%9%85%10The state of observability 2024|6CHAPTER THREE Kubernetes adds to the complexity of technology stacks In the drive toward modern technology stacks,Kubernetes*has emerged as the platform of choice for organizations wor

18、king to refactor their applications for the cloud-native world.Kubernetes architectures make it easier to quickly scale services to new users and drive efficiency gains through dynamic resource provisioning.They also,however,make it difficult for IT and security teams to maintain visibility into the

19、ir constantly changing cloud environments and the dependencies they contain.It is simply impossible for these teams to manually configure an array of traditional monitoring tools to provide observability into their Kubernetes environments.As a result,they are often unable to access the real-time ins

20、ights they need to improve user experience,optimize costs,and strengthen security.This visibility challenge is a growing concern,and is delaying many organizations from migrating more of their mission-critical services,such as core banking applications and ERP systems,to Kubernetes.*Kubernetes is an

21、 open source container orchestration system for automating software deployment,scaling,and management.The percentage of mission-critical applications running on KubernetesToday13%21%35%In the next 12 months In the next five years The state of observability 2024|776%of technology leaders say the dyna

22、mic nature of Kubernetes makes it more difficult to maintain visibility into this architecture compared with traditional technology stacks83%of technology leaders say replacing manual tagging with automated dependency mapping is essential for handling multicloud and Kubernetes complexityOrganization

23、s say the challenges of Kubernetes environments include the following:Attack detection and blocking 48%45%42%39%38%36%32%Observability Optimizing resource consumption Application security Cloud cost management Optimizing user experience Log analytics The state of observability 2024|8CHAPTER FOUROrga

24、nizations are drowning in data Data has become the lifeblood of modern digital enterprises,providing a treasure trove of potential insights that can drive smarter decision making and better business outcomes.However,the rise of more dynamic and distributed cloud-native technology stacks has unleashe

25、d a firehose of data that IT and security teams struggle to contain.These modern environments generate data at a rate that is impossible for teams to cost-effectively capture and analyze using traditional practices and fragmented monitoring tools.Teams simply cannot manually query all data,from all

26、sources,in context,to access precise insights in a timely manner.77%86%of technology leaders are involving more teams from outside of IT in making decisions using observability-driven insights to drive greater valueof technology leaders say cloud-native technology stacks produce an explosion of data

27、 that is beyond humans ability to manageThe state of observability 2024|9Log analytics*has become a particular challenge,as the costs of storing the increased volumes of this data over the long term have begun to overshadow the value organizations can unlock from querying it.As a result,teams are of

28、ten forced to decide which logs to retain for real-time analytics and which to discard or archive in lower-cost,less-accessible storage.This hinders organizations ability to drive more automation and smarter decision making.of technology leaders say manual approaches to log management and analytics

29、cannot keep up with the rate of change in their technology stack and the volumes of data createdof technology leaders say the costs of storing and analyzing logs are soaring and outweigh the benefits they provideof technology leaders are currently using or planning to adopt a unified platform for ob

30、servability and security data within the next 12 months81%85%79%*Log analytics is the process of viewing,interpreting,and querying log data so developers and IT teams can quickly detect and resolve application and system issues.The state of observability 2024|10The state of observability 2024|10CHAP

31、TER FIVEA mature AI,analytics,and automation strategy is essentialOrganizations are increasingly turning to advanced AI,analytics,and automation capabilities to overcome the complexity of their modern technology stacks.However,many organizations have seen limited value from their initial analytics a

32、nd automation strategies due to a focus on traditional AIOps solutions powered by probabilistic and training-based learning models.To keep pace with the speed of cloud-native delivery,organizations need more precise and predictive AI-driven analytics that enable them to automate multicloud infrastru

33、ctures and Agile development practices at scale.This can best be achieved through a unified observability platform that combines multiple AI techniquesincluding causal,predictive,and generative AIto enable more teams to unlock a wealth of insights from observability,security,and business data.By pro

34、viding access to these insights through natural language queries,organizations can enable teams to power custom applications and analytics use cases to drive smarter decision making and more efficient ways of working.of technology leaders say probabilistic machine learning approaches have limited th

35、e value that AIOps tools deliver due to the manual effort teams need to invest to gain reliable insightsof technology leaders say the maturity of AI,analytics,and automation capabilities will play a more important role in how they choose vendors and partnersof organizations have or will adopt AIOps

36、to reduce the complexity of managing their multicloud environment within the next 12 months93%97%79%However,despite overwhelming AIOps adoption,organizations experience challengesThe state of observability 2024|11The Dynatrace difference The world needs software to work perfectly.So,Dynatrace unifie

37、s observability,security,and business analytics using AI that combines causal,predictive,and generative techniques in a single platform.This approach gives teams the precise answers and intelligent automation they need to deliver exceptional digital experiences at scale.Our comprehensive approach to

38、 observability,security,and business analytics as well as automationwhich we call cloud done rightempowers organizations across the globe to simplify cloud complexity,speed innovation,and do more with less in the modern cloud.MethodologyThis report is based on a global survey of 1,300 CIOs,CTOs,and

39、other senior technology leaders involved in IT operations and DevOps management in large enterprises with more than 1,000 employees.It was conducted by Coleman Parkes and commissioned by Dynatrace.The sample included 200 respondents in the U.S.,100 in Latin America,600 in Europe,150 in the Middle Ea

40、st,and 250 in Asia Pacific.For a detailed breakdown of findings by region,refer to the global data summary appendix.The state of observability 2024|12Industries spotlightThe state of observability 2024|13Retail The rapid growth of ecommerce has created both opportunities and challenges for retailers

41、.They must now appeal to a growing digital-native audience,customers who prefer to shop in physical stores,and those who use a combination of channels.As they seek to meet these needs by creating seamless omnichannel experiences,91%of retail technology leaders report that the complexity of their tec

42、hnology stack has increased in the past 12 months.Over half(56%)anticipate it will become even more complex.And 89%of retail respondents say this complexity is hampering their ability to provide an outstanding customer experience.Part of this challenge is turning data into insights to help optimize

43、customer experiences.The vast majority(87%)of respondents believe that manual approaches to log management and analytics cannot keep up with the rate of change in their technology stack and the volumes of data being created.As they search for a solution,71%of retailers are turning to AIOps.Financial

44、 services Caught in the crossroads of serving an older generation as well as a digitally savvy younger population,and facing increased competition from modern fintechs,financial institutions are looking at a hybrid model that integrates digital experiences into traditional physical branches.Many org

45、anizationsparticularly more established banksare building these services on a technology stack spanning an average of 12 different cloud platforms,as well as legacy on-premises systems.These hybrid environments are highly complex,and more than half(54%)of financial services businesses predict they w

46、ill become only more complex in the next 12 months.As this complexity continues to grow,it is leading to an explosion of data,which 88%of financial sector technology leaders believe is too much for humans to manage.However,nearly all(99%)financial services organizations are already involving,or plan

47、ning to involve,non-IT teams in making decisions using insights gleaned from observability data.Faced with this growing demand for data-driven insights,75%of financial technology leaders are looking to AIOps to reduce multicloud complexity.The state of observability 2024|14Government Government agen

48、cies are focused on meeting the needs of their citizens as effectively and efficiently as possible,to ensure every tax dollar is invested for maximum effect.As part of this mission,there is a drive to digitize services across all areas of government,so citizens can meet their own needs faster and wi

49、th greater convenience.To deliver these services,government agencies are using an array of cloud platforms,spanning 12 environments on average.This is leading to an increase in complexity that is felt more acutely in the government sector than any other industry.Nearly all(97%)government technology

50、leaders say the complexity of their technology stack has increased in the past 12 months.Eighty-five percent also say the number of tools,platforms,dashboards,and applications they rely on only adds to the complexity.Thats perhaps why 83%are turning to AIOps.Additionally,80%of government agencies ar

51、e looking to consolidate the tools they use and adopt a unified platform for observability and security.TransportationThe transportation industry has rebounded strongly in the wake of the pandemic,but it faces the ongoing challenge of rebuilding consumer confidence.This is exacerbated by the difficu

52、lties of managing the complex technology stacks that underpin todays transportation services.The vast majority(92%)of technology leaders in this sector believe that multicloud complexity makes it more difficult to deliver outstanding customer experiences.This problem is only worsened by the vast ran

53、ge of tools,platforms,and dashboards that organizations rely on to manage their multicloud environmentsa challenge highlighted by 88%of respondents in the transportation sector.Additionally,92%say manual approaches to log management and analytics cannot keep up with the rate of change in their techn

54、ology stack and the volumes of data being created.With 55%of transportation businesses believing their stack will become more complex in the next 12 months,they urgently need to find a solution.Nine in 10 are looking to adopt AIOps,while 85%are reducing the number of monitoring and observability too

55、ls on which they rely.The state of observability 2024|15Software and digital services The rapid growth of many software-as-a-service(SaaS)organizations in recent years has created a legacy of concern around their ability to scale quickly while maintaining high standards of quality and security.Eight

56、y-five percent of software and technology respondents say it is more difficult to protect applications from security vulnerabilities and attacks due to the complexity of their multicloud environments.The same proportion say the number of tools,platforms,dashboards,and applications they rely on adds

57、to the complexity.Software and technology companies rely on 12 different observability or monitoring tools on averagemore than any other sector.It is no surprise,then,that 84%of software and technology organizations are looking to reduce the number of observability and monitoring tools they use,whil

58、e 83%are aiming to adopt a unified platform for observability and security.This will reduce the prevalence of blind spots across their multicloud technology stack,so they can continue to grow in a secure manner.The state of observability 2024|16Global data summaryRegional highlights The state of obs

59、ervability 2024|17The state of observability 2024|18U.S.Sample base:200 respondents The average multicloud environment spans 15 different platforms and services 74%of organizations say the complexity of their technology stack has increased in the past 12 months,and 26%say it will continue to increas

60、e 82%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 79%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 9 different observa

61、bility or monitoring tools to manage applications,infrastructure,and user experience 81%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 68%of organizations are currently using or planning to adopt a unified

62、 platform for observability and security data within the next 12 months 52%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 28%plan to adopt it in the next 12 monthsBrazilSample base:50 respondents The average multicloud envi

63、ronment spans 11 different platforms and services 100%of organizations say the complexity of their technology stack has increased in the past 12 months,and 72%say it will continue to increase 92%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding custome

64、r experience 92%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 11 different observability or monitoring tools to manage applications,infrastructure,and user experience 84%of technology leaders

65、 say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 68%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 82%of organizations have already adop

66、ted AIOps to reduce the complexity of managing their multicloud environment and a further 18%plan to adopt it in the next 12 monthsThe state of observability 2024|19MexicoSample base:50 respondents The average multicloud environment spans 13 different platforms and services 98%of organizations say t

67、he complexity of their technology stack has increased in the past 12 months,and 96%say it will continue to increase 92%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 96%of technology leaders say cloud-native technology stacks pro

68、duce an explosion of data that is beyond humans ability to manage On average,organizations use 12 different observability or monitoring tools to manage applications,infrastructure,and user experience 96%of technology leaders say the time their teams spend maintaining monitoring tools and preparing d

69、ata for analysis steals time from innovation 74%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 80%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment

70、and a further 16%plan to adopt it in the next 12 monthsU.K.Sample base:100 respondents The average multicloud environment spans 9 different platforms and services 93%of organizations say the complexity of their technology stack has increased in the past 12 months,and 30%say it will continue to incre

71、ase 87%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 89%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 8 different obser

72、vability or monitoring tools to manage applications,infrastructure,and user experience 72%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 86%of organizations are currently using or planning to adopt a unifi

73、ed platform for observability and security data within the next 12 months 64%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 35%plan to adopt it in the next 12 monthsThe state of observability 2024|20FranceSample base:100 re

74、spondents The average multicloud environment spans 12 different platforms and services 92%of organizations say the complexity of their technology stack has increased in the past 12 months,and 53%say it will continue to increase 92%of technology leaders say multicloud complexity makes it more difficu

75、lt to deliver an outstanding customer experience 88%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 10 different observability or monitoring tools to manage applications,infrastructure,and user

76、 experience 81%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 86%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 7

77、2%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 24%plan to adopt it in the next 12 monthsGermanySample base:100 respondents The average multicloud environment spans 10 different platforms and services 99%of organizations s

78、ay the complexity of their technology stack has increased in the past 12 months,and 77%say it will continue to increase 85%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 80%of technology leaders say cloud-native technology stacks

79、 produce an explosion of data that is beyond humans ability to manage On average,organizations use 12 different observability or monitoring tools to manage applications,infrastructure,and user experience 83%of technology leaders say the time their teams spend maintaining monitoring tools and prepari

80、ng data for analysis steals time from innovation 85%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 84%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environm

81、ent and a further 14%plan to adopt it in the next 12 monthsThe state of observability 2024|21ItalySample base:100 respondents The average multicloud environment spans 10 different platforms and services 96%of organizations say the complexity of their technology stack has increased in the past 12 mon

82、ths,and 48%say it will continue to increase 88%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 83%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On ave

83、rage,organizations use 9 different observability or monitoring tools to manage applications,infrastructure,and user experience 84%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 83%of organizations are curr

84、ently using or planning to adopt a unified platform for observability and security data within the next 12 months 77%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 21%plan to adopt it in the next 12 monthsSpainSample base:1

85、00 respondents The average multicloud environment spans 11 different platforms and services 86%of organizations say the complexity of their technology stack has increased in the past 12 months,and 51%say it will continue to increase 82%of technology leaders say multicloud complexity makes it more di

86、fficult to deliver an outstanding customer experience 84%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 12 different observability or monitoring tools to manage applications,infrastructure,and

87、 user experience 85%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 81%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 mon

88、ths 76%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 21%plan to adopt it in the next 12 monthsThe state of observability 2024|22SwedenSample base:50 respondents The average multicloud environment spans 11 different platfor

89、ms and services 98%of organizations say the complexity of their technology stack has increased in the past 12 months,and 80%say it will continue to increase 88%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 92%of technology leade

90、rs say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 10 different observability or monitoring tools to manage applications,infrastructure,and user experience 80%of technology leaders say the time their teams spend mai

91、ntaining monitoring tools and preparing data for analysis steals time from innovation 80%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 80%of organizations have already adopted AIOps to reduce the complexity

92、of managing their multicloud environment and a further 18%plan to adopt it in the next 12 monthsBeneluxSample base:50 respondents(32 Netherlands,10 Belgium,8 Luxembourg)The average multicloud environment spans 11 different platforms and services 98%of organizations say the complexity of their techno

93、logy stack has increased in the past 12 months,and 72%say it will continue to increase 78%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 82%of technology leaders say cloud-native technology stacks produce an explosion of data tha

94、t is beyond humans ability to manage On average,organizations use 11 different observability or monitoring tools to manage applications,infrastructure,and user experience 80%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time

95、from innovation 80%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 84%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 14%plan to adop

96、t it in the next 12 monthsThe state of observability 2024|23Middle EastSample base:150 respondents(65 UAE,46 Saudi Arabia,20 Kuwait,19 Qatar)The average multicloud environment spans 12 different platforms and services 96%of organizations say the complexity of their technology stack has increased in

97、the past 12 months,and 77%say it will continue to increase 92%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 95%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability t

98、o manage On average,organizations use 12 different observability or monitoring tools to manage applications,infrastructure,and user experience 87%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 80%of organi

99、zations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 80%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 15%plan to adopt it in the next 12 monthsAu

100、straliaSample base:100 respondents The average multicloud environment spans 14 different platforms and services 76%of organizations say the complexity of their technology stack has increased in the past 12 months,and 36%say it will continue to increase 94%of technology leaders say multicloud complex

101、ity makes it more difficult to deliver an outstanding customer experience 87%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 9 different observability or monitoring tools to manage applications

102、,infrastructure,and user experience 77%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 80%of organizations are currently using or planning to adopt a unified platform for observability and security data wit

103、hin the next 12 months 68%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 18%plan to adopt it in the next 12 monthsThe state of observability 2024|24JapanSample base:100 respondents The average multicloud environment spans 1

104、7 different platforms and services 77%of organizations say the complexity of their technology stack has increased in the past 12 months,and 26%say it will continue to increase 84%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 87%

105、of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans ability to manage On average,organizations use 13 different observability or monitoring tools to manage applications,infrastructure,and user experience 69%of technology leaders say the time th

106、eir teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 87%of organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 71%of organizations have already adopted AIOps to red

107、uce the complexity of managing their multicloud environment and a further 21%plan to adopt it in the next 12 monthsIndiaSample base:50 respondents The average multicloud environment spans 13 different platforms and services 88%of organizations say the complexity of their technology stack has increas

108、ed in the past 12 months,and 38%say it will continue to increase 88%of technology leaders say multicloud complexity makes it more difficult to deliver an outstanding customer experience 90%of technology leaders say cloud-native technology stacks produce an explosion of data that is beyond humans abi

109、lity to manage On average,organizations use 10 different observability or monitoring tools to manage applications,infrastructure,and user experience 70%of technology leaders say the time their teams spend maintaining monitoring tools and preparing data for analysis steals time from innovation 64%of

110、organizations are currently using or planning to adopt a unified platform for observability and security data within the next 12 months 70%of organizations have already adopted AIOps to reduce the complexity of managing their multicloud environment and a further 22%plan to adopt it in the next 12 mo

111、nthsblogdynatraceDynatrace(NYSE:DT)exists to make the worlds software work perfectly.Our unified platform combines broad and deep observability and continuous runtime application security with the most advanced AIOps to provide answers and intelligent automation from data at enormous scale.This enab

112、les innovators to modernize and automate cloud operations,deliver software faster and more securely,and ensure flawless digital experiences.Thats why the worlds largest organizations trust the Dynatrace platform to accelerate digital transformation.Curious to see how you can simplify your cloud and

113、maximize the impact of your digital teams?Let us show you.Sign up for a free 15-day Dynatrace trial.Automatic and intelligent observability for hybrid multicloudsWe hope this ebook has inspired you to take the next step in your digital journey.Dynatrace is committed to providing enterprises the data and intelligence they need to be successful with their enterprise cloud and digital transformation initiatives,no matter how complex.If you are ready to learn more,please visit for assets,resources,and a free 15-day trial.Learn more03.01.24 11060_EBK_cs