Observability Solution Suites Statistics


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Observability Solution Suites Statistics 2023: Facts about Observability Solution Suites outlines the context of what’s happening in the tech world.

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Top Observability Solution Suites Statistics 2023

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Observability Solution Suites “Latest” Statistics

  • High availability, reliable system-wide observation with a 99.99% uptime that doesn’t fall asleep at the wheel incident inquiry is simple to make sure you have all the information you need, gather and save all pertinent metrics.[1]
  • Reduce redundant notifications by up to 90% by automatically correlating events and alerts from any source.[2]
  • By automatically connecting alerts and events from any source, you may cut down on duplicate warnings by up to 90%.[3]
  • Compared to 15% of newcomers, 45% of observability leaders report introducing eight or more new products/revenue streams in the last year.[4]
  • 57% of respondents cited lack of context as the biggest issue with their current monitoring tools.[4]
  • The complexity of managing hybrid multi-cloud setups, according to 58% of executives, is their biggest difficulty.[4]
  • Only 31% of novices and 70% of observability leaders think they have outstanding visibility in their organization’s security position.[4]
  • 74% of CIOs think the managing performance might become challenging as complexity increases.[4]
  • In cloud-native architectures, 76% of CIOs claim that they lack total insight into application performance.[4]
  • Observability solutions provide information on service outages to 78% of software leaders compared to just 12% of laggards.[4]
  • 20% of C-suite executives expect budget increases that are large next year, according to 81% of C-suite executives. ?yed engineers employ hundreds or even thousands of compute instances, along with a lot of containers and microservices.[4]
  • 86% of respondents mention technological challenges, including poor legacy tools and a lack of platform alternatives.[4]
  • The architecture or observability solutions must function, according to 87% of respondents.[4]
  • 91% of data center facilities managers who were questioned reported having dealt with at least one disruptive occurrence in the previous 12 months, including downtime caused by an outage.[4]
  • 82% of businesses have a hybrid cloud approach, while 92% of businesses have a multi-cloud strategy.[4]
  • According to 94% of software executives, observability is essential for creating software.[4]
  • Due to fragmented technologies and laborious human work, business firms cannot monitor 95% of their applications.[4]
  • 99% of executives claim that their culture and observability technologies enable developers to act quickly without worrying about the consequences.[4]
  • 70% of CIOs claim that real-time monitoring of containerized microservices is almost hard.[4]
  • For 90% of surveyed developers, monitoring massively distributed applications presents issues that are orders of magnitude more than those that conventional monitoring solutions can handle.[4]
  • 57% of respondents said their present monitoring tools’ lack of context was their biggest problem.[4]
  • 86% of respondents to Splunk’s survey mention technological challenges, such as poor legacy tools, a lack of platform alternatives, worries about open source tools, and tool fragmentation, as a barrier to the adoption of observability.[4]
  • 87% of survey participants said it’s critical that observability solutions function independently of the architecture.[4]
  • 92% of engineers questioned think observability tools promote better decisions.[4]
  • The size of the worldwide cloud computing market is anticipated to reach 1,251.09 billion by 2028, growing at a CAGR of 19.1% from 2021 to 2028.[4]
  • 82% of businesses using cloud infrastructure workloads say they’ve spent money that wasn’t required.[5]
  • Because of severe data system performance concerns, 50% of imported data was often not processed for true digital.[5]
  • Because of this, the business could maintain 99.97% availability even while its data infrastructure grew by 2,000%.[5]
  • Cost overruns for public cloud services will affect 60% of infrastructure and operations directors.[5]
  • Acceldata could assist PubMatic in optimizing its HDFS cluster and decreasing its block footprint by 30% in such a large.[5]
  • Authors Sarah Wang and Martin Casado contend that businesses may be able to save anywhere between 30% and 50% of their overall cloud expenditures in that op.[5]
  • Business leaders are dissatisfied with data quality in 73% of cases, and just 61% of firms can use data to preserve a competitive advantage.[6]
  • On average, in 2022, data professionals will devote 40% of their day to problems with data quality.[7]
  • Kingold fixes 95% of its key problems before they influence consumers and can identify performance issues 10x quicker.[8]
  • Businesses may save up to 60% on operational management expenditures by using oracle enterprise manager.[8]

Also Read

How Useful is Observability Solution Suites

One of the key benefits of observability solution suites is the ability to track and analyze data from various sources in a single, centralized platform. This can help organizations quickly identify and address issues that may arise, leading to improved system reliability and better overall performance. By aggregating data from different sources, such as logs, metrics, and traces, observability solutions provide a holistic view of an organization’s infrastructure, enabling teams to quickly identify the root cause of problems and troubleshoot effectively.

Moreover, observability solution suites often come equipped with advanced analytics capabilities that allow for proactive monitoring and alerting. By leveraging machine learning and artificial intelligence algorithms, these tools can predict potential issues before they occur, allowing teams to take preemptive action to prevent downtime or performance degradation. This proactive approach can significantly reduce the number of incidents and improve the overall user experience.

Another benefit of observability solution suites is their scalability and flexibility. Whether an organization is running a small application or a large-scale, distributed system, these suites can adapt to varying needs and environments. They can easily scale to accommodate growing workloads and can be customized to monitor specific applications and services, providing tailored insights and recommendations to improve performance.

Furthermore, observability solution suites often come with collaboration and communication tools that foster better teamwork and knowledge-sharing among team members. By centralizing data and insights in a single platform, these tools enable teams to work more efficiently and make informed decisions based on real-time information. This level of collaboration can help organizations respond to incidents faster and more effectively, ultimately improving their overall operational efficiency.

In conclusion, observability solution suites offer a range of benefits that can help organizations improve the performance, reliability, and scalability of their systems. By providing a holistic view of an organization’s infrastructure and applications, these suites enable teams to quickly identify and address issues, leading to reduced downtime and improved user experiences. With advanced analytics capabilities, proactive monitoring, and collaboration tools, observability solution suites empower teams to work more efficiently and effectively, ultimately driving better business outcomes.

Reference


  1. aiven – https://aiven.io/solutions/aiven-for-observability
  2. atlan – https://atlan.com/data-observability-tools/
  3. newrelic – https://newrelic.com/platform
  4. signoz – https://signoz.io/learn/why-is-observability-critical-for-cloud-native-applications/
  5. acceldata – https://www.acceldata.io/blog/data-observability-80x-roi
  6. ibm – https://www.ibm.com/blogs/journey-to-ai/2022/07/dont-let-your-data-pipeline-slow-to-a-trickle-of-low-quality-data/
  7. montecarlodata – https://www.montecarlodata.com/blog-data-observability-first-data-catalog-second-heres-why/
  8. oracle – https://www.oracle.com/manageability/

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