Unified data observability: Helping IT deliver winning digital experiences

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One click is everything today. In the office, at home or anywhere else, and at any time of the day or night, that action comes with purpose and anticipation – a flawless digital experience. These experiences are the heartbeat of the fiercely competitive digital-first world in which we live and work.

Question: What is the number 1 Challenge Harassing IT Teams?

Answer: Ensuring the quality of digital service in an increasingly complex environment, with the explosion of data volume and usage.

The growing complexity of IT in the hybrid world

The core function of IT is to operate the services, systems and applications that run the business, accessible, efficient and secure for employees, partners and customers. And while jobs haven’t changed, so has the IT environment. Today’s environment is instantly more complex, dynamic, distributed and hybrid, and there is a huge amount of data and alerts generated by tools designed to make IT work more difficult.

Most IT teams operate a combination of traditional on-premise infrastructure with the private cloud and public cloud, where operations are not always under the direct control of IT. Meanwhile, cloud-native applications that come with modular, transient, transient, and serverless applications that are self-hosted, managed, or distributed as a service. Unique skills and expertise are required to effectively manage this hybrid infrastructure and application architecture.

In addition, the transformational shift in remote work requires IT to support employees on more devices in more locations. In a competitive market to attract and retain talent, businesses, including General Z workers, need apps, devices, and technology to please employees, which also brings greater productivity. To do that, they need a better understanding and more context from the data they receive to do their job well in today’s evolving environment.

Observability as a means of avoiding the flood of information

Observability is a term that many tech leaders say will enter the next phase of monitoring and visibility, but – like any hype-inspired technology – there is constant debate about its definition and usefulness for modern enterprises. Let’s make a direct record today.

Observability is the ability to measure the internal conditions of a system by examining its output. To be effective in today’s modern world, organizations need a better approach to ensuring the quality and effective collaboration of digital services in a dynamic, distributed, hybrid environment. Otherwise, businesses could sink into the data. Consider Statista’s research showing that the amount of data generated, consumed, copied and stored is projected to reach 180 zetabytes in 2025, three times more than 64 zetabytes in 2020.

Observability gives IT the flexibility to dig into the “unknown unknown” on the fly. It enables access to actionable insights by correlating information and providing appropriate context around why things are happening. However, it is important to note that there is observability No replacement For monitoring and visibility.

Data Monitoring, Visibility and Observability: What’s the Difference?

Simply put: observation, visibility, and observability are separate and complementary concepts that are interdependent. Monitoring takes place at the domain level and is feature-oriented. It tells you that something is wrong and decides in advance which signs to observe.

Visibility is achieved through comprehensive monitoring and aggregation and analysis of data across domains. Provides relationships in visibility data that monitoring cannot detect.

Observability, as noted earlier, expands the benefits of visibility through AI, ML, and automation, providing IT with actionable insights to help strangers understand strangers, make decisions, prioritize actions, and solve problems faster.

Integrated Data Observability: Busting silos make digital seamless

Integrated observability requires businesses to break down their data silos and integrate data, insights and actions so they can deliver seamless, secure digital experiences. This is a big focus for our customers. There are four principles for creating an integrated observable environment:

  • Absolute loyalty telemetry – To achieve unified observability, organizations must obtain full-fidelity data from monitoring and visibility tools across the entire IT ecosystem, including client devices, networks, servers, applications, cloud-native environments and users. This complete picture enables IT to understand what is happening and what happens when key events or contexts are missing due to sampling. And, when it comes to user data, it’s important that organizations expand the quantitative measure of the user experience with a qualitative measure of the user’s spirit. Real User experience.
  • Intelligent analysis – Using AI, ML and data science techniques in various data streams, including third-party data, can help IT teams detect discrepancies and make better changes. In doing so, the organization can bring the most complex issues to the surface quickly and accurately. This capability makes IT teams better prioritize time and effort to focus on the areas that are most important to their organization.
  • Functional insights – With a powerful combination of AI- and ML-enabled automation, organizations gain context-rich, filtered, and prioritized fix-first insights. This insight enables effective cross-domain collaboration because integrated observations provide a single source of truth, allowing for more efficient decision-making to accelerate mean-time-to-resolution (MTTR). This approach also reduces the amount of time spent in the war room, finger pointing and excessive increase.
  • Automated remedy – What can your organization do with an extensive library of pre-configured and customized actions to support manual remediation and automated self-healing of common problems? Automated remedial actions are recommended by the system based on the problem being investigated, but IT retains control over whether and when to implement the suggested corrective action. This approach ensures that measures can be implemented in alignment with the organization’s primary goals and objectives.

Providing a great digital experience is no easy feat. Tectonic shifts in hybrid work, distributed cloud networks, and modern application architectures complicate IT’s work, making it difficult to keep digital services accessible, high-performance, and secure. And the epidemic has further complicated matters by accelerating digital transformation initiatives over the years. For organizations to succeed in this digital-first world, they need to see this vast complexity and be able to integrate data, insights and actions across IT and business as a whole.

Mike Marks is vice president of Riverbed Technology,


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