Data for security, ITOPs and O11y

Aptos Approach

Apto’s approach to data can be summarised using our data lifecycle, or operational specification. Big data is a complex and intricate problem in the modern-day market, bespoke to each customer with context specific challenges and pain points. At Apto we approach working with you, and your data, as a blend of common themes and your individual needs – bring our expertise to your big data problem. We do this by modeling your data driven approach through the lens of our data cycle. In data discovery we map and understand your bespoke problems and current landscape. In data engineering we look to correlate your data silos and empower your data owners under a data standard of commonality for your organisation. In data deployment we seek to technologically underpin these data principles into tangible business value, and end in operate – defining the best ways to maintain and upkeep your modern data approach and tooling.

 

 

Apto’s approach, methodology, and mindset are encompassed by our structured approach to logging data. Log Data as a Service (LDaaS) is our blueprint for centralising, managing, and leveraging log data so organisations can derive consistent value from it – streamlining the data lifecycle shown above. LDaaS creates a repeatable, scalable service that aligns data collection, architecture, deployment, and operations to clear success criteria.

 

 

LDaaS embodies our approach to the data commonality presented by big data in modern organisations, but our range of data services aim to resolve common issues such as vendor lock-in, agent sprawl, and log-conformity at any level. We offer a foundational service of data discovery aimed at understanding your given data domain and strategically develop its current lay-of-the-land. At a more advanced stage we offer a phased approach to building out a data strategy for your organisation, whether this is cost reduction of your tooling stack or the creation of a organisation data model for log conformity.

Specialist Consultancy

At Apto we help our customers understand what data they have which is pertinent to their operational monitoring, and how that data is processed and used. Whether for ITOps, production monitoring or Dev teams, we examine business requirements, services, KPI’s & use case libraries, blending data engineering with domain knowledge, to ensure that customers understand what data they have in their platforms, who is using it and what business value is being derived from it.

Increasingly customers want to control their data and platforms. We help customers reduce vendor lock in, improve data pipelining and retention strategies, and ensure that each product is used for what it is best at. Our methodology ensures that the right solution is defined, deployed and critically operated. Our Managed Service helps customers keep on top of managing complex platforms.

• Cost Control

  Manage Your Data
  Reduce Vendor Lock in
  Control your licence spend

• Improved Operational Resilience

  Improved traceability from business requirements to use cases, and gap analysis
  Evidence coverage vs budget requirements
  Manage use cases & content

• Robust Operating Model

  Ensure your platform remains fit for purpose
  Remove administrative burden from your ops team
  Remain in control of your costs