@cloudfabrix ・ Jan 30,2023 ・ 4 min read ・ 239 views ・ Originally posted on cloudfabrix.com
It has become cliché to be doing market predictions, but it certainly enables Enterprises to get a pulse on the market, get informed, evaluate and strategize for course correction. This year 2023 the general theme will undoubtedly be “Doing More with Less” and “Customer Experience is the King.”
It has become cliché to be doing market predictions, but it certainly enables Enterprises to get a pulse on the market, get informed, evaluate and strategize for course correction. My post-pandemic 2021 Predictions highlighted the coming out party for AI/ML Ecosystem across multiple regulated verticals. My 2022 Predictions discussed the rise of the Data Economy and Data becoming the new source code. This year 2023, at a macro level, we are moving from an Inflation economy to a Recession and uncertain economy, and the general theme is certainly going to be “Doing More with Less” and “Customer Experience is the King.” Let us examine what trends and technologies will play a lending hand in these circumstances.
2023 — Convergence, A Market perspective
2023 will continue to be a year bringing convergence in the market as use cases become data-driven — Business and IT Convergence, IT and Security Convergence, and Networking and IT Convergence (driven by the rise of SASE and AIOps), all driven by a single source of truth.
Operational domains — Observability, Security, and Automation, will continue to converge as the focus will shift to gaining visibility with Observability, operationalizing with AIOps, and optimizing using FinOps.
Customers will be increasingly seen embracing
New Data-centric Business Models
Gartner’s 2023 Technology predictions also highlight 3 themes — Optimize, Scale and Pioneer. Applied Observability would be a key building block to make an enterprise observable and data-centric. For e.g., Gartner highlights Tesla’s use of Observability across sensors and its autopilot software to provide lower insurance premiums to drivers with higher safety scores. Large Telco’s will leverage Observability and AIOps to understand their Network Bandwidth consumption by end users for cross and upselling.
2023 should see the rise, adoption, and traction of some key technology trends to maneuver the above macro scenarios. They are as follows –
Convergence needs a single source of truth which is challenged by the data-value gap
This can be accomplished with Data automation and Intelligence platforms like Google Dataplex, Azure Data Factory, or Robotic Data Automation Fabric.
Observability pipelines use Bots to transform data across multiple schemas — Datasets, DataFrames, Opensearch PStreams, Open Telemetry, OCSF — Open CyberSecurity Schema Format, Parquet, Avro or Snowpipe, enriching with IT and Business context, preserving full fidelity copies in low-cost Observability and Security Data Lakes, redacting for compliance, in-place searching and visualizing the data at the edge, Data Lake, Log and Metrics stores.
They leverage existing data management, AIOps, and Enterprise search tools making them more affordable and actionable by enriching and correlating the ingested data.
Data-centric AIOps are based on the notion put forth by AI leaders that AI/ML models have reached a level of maturation and that success or failure will be determined by engineering the data.
For AI/ML deployments and pipelines to be reliable and trustworthy, data needs to be enriched with the right context in near real-time. Implementing full-stack contextual data models called Application Dependency Mapping and Impact Maps becomes extremely important in pinpointing the root cause of a problem. Leveraging synthetic data with pipeline synthesis builds trust.
The Operational pipelines comprise 3 stages — Detect, Investigate and Remediate. Observability and AI/ML can be very effectively leveraged for Detection and Investigation; however, remediation needs effective bi-directional automation with your choice of ITSM, notification, or collaboration tools. NLP/NLU-based Recommendation Engines based on real-time and historical Knowledge corpus are needed for quick remediation.
FinOps originated as the new framework to bring Financial Accountability for IT planning, ITOps, and DevOps. It has somehow only been restricted to public cloud chargeback and optimization. It is a powerful framework and will evolve into ITAM — IT Asset Inventory Insights and CSAM — Cyber Security Asset Insights — Utilization / Capacity, Change / Vulnerability, Lifecycle Analytics and Compliance/Contract Management metadata captured near real-time in an AI DB.
Empowering operational personas with the right data and right workflows is important to meet the requirements of the Multi-cloud Era. Composable Analytics refers to an analytics stack comprising of Dashboards, Visualization, Services, and Search, which are based on Bots and Pipelines. This makes them modular, adaptable, and flexible to meet the changing business requirements in these uncertain times. Net — Enterprises will focus more on improving their Operational Efficiencies and Customer Experience and should evaluate these technology trends to maneuver macro trends. Let’s evaluate these when we get to the 2024 New Year!
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