Prepare a short, evidence-based briefing on real-time data processing systems for senior management.
Building High-Performance Real-Time Data Processing Systems
Practical training in real-time data processing systems, grounded in real cases and applied to your own operation.
📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Most outages involving real-time data processing systems are triggered by a change somebody considered routine. Systems supporting processing systems fail in ways that are obvious afterwards and invisible before. Exercises escalate in difficulty, ending with the ambiguous situations that make this aspect of technology and systems delivery hard in practice. Improvement in real-time data processing systems stalls when it depends on one capable individual rather than a defined method. Participants leave with a method for this part of technology and systems delivery, not a set of opinions about it. It is appropriate for those preparing to take on wider responsibility for processing systems. They leave able to brief senior management on real-time data processing systems in terms that support a decision. Practitioner evidence points the same way: processing systems improves fastest where responsibility for it is named and owned. The programme closes with an action plan for the wider technology and systems delivery agenda that each participant writes for their own organisation.
Expected Learning Outcomes
Recognise early indicators that processing systems is drifting away from its intended design.
Structure the service desk and support model for real-time data processing systems.
Assess and manage third-party and cloud dependencies in processing systems.
Set a realistic target state for real-time data processing systems and a defensible route to it.
Test processing systems under realistic load before it meets real load.
Secure the software supply chain and dependencies within real-time data processing systems.
Who Should Attend
Database administrators managing data within real-time data processing systems.
Network and communications engineers supporting processing systems.
Project managers delivering changes to real-time data processing systems.
Those responsible for briefing external stakeholders on processing systems.
Managers in small and medium organisations who own real-time data processing systems alongside other duties.
Solution architects designing processing systems.
Course Modules
Real-time data processing systems: architecture and designing for failure
2 sessions · 8 pointsSession 1Setting availability and recovery targets for real-time data processing systems honestly
- Set the review interval for real-time data processing systems and who attends.
- Review whether processing systems is aligned with the objectives of the technical platform.
- Identify single points of dependency in real-time data processing systems and reduce them.
- Identify the single points of failure in processing systems.
Session 2What has to be agreed before work on processing systems starts
- Set delivery and reliability indicators for real-time data processing systems the team trusts.
- Review access rights on processing systems and remove what is no longer needed.
- Collect evidence on the present handling of real-time data processing systems before proposing changes.
- Define acceptance criteria for processing systems in advance.
Processing systems: backup, recovery and continuity
2 sessions · 8 pointsSession 1Documenting processing systems so someone else can operate it
- Confirm every release of real-time data processing systems can be rolled back within a defined time.
- Decide what will be stopped to create capacity for processing systems.
- Prepare the summary of real-time data processing systems that senior management will read.
- Rank the weaknesses in processing systems by consequence rather than by ease of fixing.
Session 2The cost of processing systems and how to present it
- Record what was learned when real-time data processing systems did not go as planned.
- State the availability and recovery objectives for processing systems as numbers.
- Test the failover for real-time data processing systems rather than assuming it works.
- Review logging on processing systems for coverage and retention.
Processing systems: change control and rollback
2 sessions · 8 pointsSession 1Monitoring processing systems from the user's point of view
- Name a single owner for each element of real-time data processing systems.
- Close out actions on processing systems rather than leaving them open indefinitely.
- Define incident severity levels for real-time data processing systems and the response each triggers.
- Run a load test on processing systems at expected peak plus a margin.
Session 2Retiring the legacy part of real-time data processing systems
- Verify six months later that changes to real-time data processing systems have held.
- Confirm the support model and escalation path for processing systems.
- Agree the indicators that will show whether real-time data processing systems is improving.
- Confirm data retention and deletion rules applied within processing systems.
Processing systems: capacity, performance and load
2 sessions · 8 pointsSession 1Getting other functions to support processing systems
- Anticipate the objections real-time data processing systems will raise and prepare the answers.
- Configure alerting on processing systems that reflects what users experience.
- Assess the exit route from any cloud or vendor dependency in real-time data processing systems.
- Measure current load on processing systems and project it forward twelve months.
Session 2Dependencies and supply chain risk in processing systems
- Identify the data already collected that bears on real-time data processing systems.
- Document the runbook for processing systems to the level a new engineer could use.
- Record the technical debt in real-time data processing systems and schedule repayment.
- Compare the cost of processing systems with the cost of its absence.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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