Business Continuity Planning for Atlassian: A Comprehensive Guide

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Assessment 3 Template


Student Name


Student Number




Business name

Atlassian

Industry name

Software industry

Business Background

It develops collaboration &productivity tools

Industry Background

Digital transformation &remote work trends





Part 1 – Business Risk Register


Risk Name

Risk Description

Likelihood

Impact

Priority

Mitigation measure

Cybersecurity Breach

Attack on Atlassian’s IT infrastructure or customer databases containing possibly jeopardized data

High

High

Severe

  1. Implement Strong cybersecurity actions

  2. Conduct regular security &risk assessment &penetration testing to reduce the risk

  3. Conduct security awareness training

  4. Encryption of important data

  5. Incident response plan

Cloud Service Outages

Losses of services hosted &distributed through the cloud, the potential impact of these failures on customer operations, &their satisfaction with Atlassian’s products

Medium

High

Severe

  1. Ensure the availability of redundant systems.

  2. Develop sound disaster recovery measures that will help in case there is a disaster in a certain area.

  3. failover systems have also maintained regular testing.

  4. Keeping the customers informed during the outages.

  5. High availability solutions &Service Level Agreements (SLAs) defining some uptime restrictions.


Talent Retention &Acquisition

When there is a failure to retain the best performers or attract talent in a competitive environment of a particular business industry such as the technology industry.

High

Medium

Moderate

  1. The high levels of compensation paid to employees.

  2. Build the workforce by providing training &employee development.

  3. Aim at developing a good company culture.

  4. Flexible work arrangements.

  5. Conveying general employee satisfaction questionnaires’ &feedback cycles (Alicke et al. 2020, p.1).

Regulatory Compliance

Non-compliance with data protection laws, standards such as GDPR, CCPA, or certain field standards

Medium

High

Severe

  1. Dedicated compliance team.

  2. Examination of compliance with data handling policies on a specified schedule.

  3. Make sure you learn regularly the new regulations.

  4. Apply named privacy principles or privacy by design principles.

  5. Besides, compliance certifications from third parties.

Market Competition

The intensity of rivalry is also expected to rise, as more competitors join the collaboration software industry’s fray–not to mention escalating threats posed by incumbents (Koskela, & Aspfjäll, 2021, p. 6).


High

Medium

Moderate

  1. Increase purchase penetration rate by expanding the range of industries &geographical spread of purchasing customers.

  2. Adopt various flexible pricing systems.

  3. Cost considerations are important with a view to restricting expenditure as much as possible &producing maximum benefits out of the available resources.

  4. This requires building cash reserves for the company’s checkbook balance to ensure that periodic fluctuations in expenses &sales are balanced out by assets that are not fluctuating in value.

  5. Bring into the market goods that will exhibit tangible savings or income for the users (Peltokorpi, 2023, p. 16).


The following Business Risk Register table captures possible risks that could affect Atlassian’s business. They are risk name, risk description, risk probability or likelihood, risk ranking or priority, risk consequence or impact, and risk control measures or responses. Such kind of a guide enables Atlassian to minimize threatening factors for doing business and to address concerns like cybersecurity, reliability of the services provided, management of employees and talent, and market competition.


Part 2 – Business Impact Analysis


Critical Business Activity

Description

  1. Description of the activity

  2. Maximum amount of time business activity remains unavailable

  3. Activity depends on any outside services or products for its successful completion


Impact of loss

(describe losses in terms of finances, staffing, loss of reputation, etc)

RTO

(critical period before business losses occur)

Cloud-based product availability

  1. This encompasses issues to do with the up-time of the servers, the management of databases, &coordinating easy passage &interaction by users within the platforms.

  2. 4 hours

  3. AWS (Amazon Web Service), Google Cloud, &many other leading service providers of cloud infrastructure.

Content delivery networks or CDN

ISPs are also referred to as Internet service providers.

  1. Loss of service for customers without any prior notice for those in different parts of the world.

  2. Important financial losses connected with violation of the SLA.

  3. Loss of credibility to the company &the customers

  4. Customers may shift their business to other companies

2 hours

Customer Data Security

  1. Customer data has to be safeguarded from unauthorized access, alteration, disclosure, &destruction, &further, it has to be securely archived on Atlassian’s servers. This includes having strong IT &operational security features, security check-ins, &data protection compliance with the laws of various regions. Security software developers

  2. 2 hours

  3. Third-party security auditors

Compliance certification organization

  1. Loss of data that can have policy &legal consequences, financial lost

  2. Reputation damage to the company

  3. A possible result is the loss of customer trust &massive client turnover.

  4. Regulatory fines &penalties

1 hour

Product development &Innovation

  1. Consistent enhancement of current offerings &innovation of new ways of serving customers’ needs more suitably &better than the opponents. This involvement covers developing the lifecycle, doing the user study, &deploying additional modules &enhancements. Software Library &APIs from third parties

  2. 1 Week

  3. User testing platforms

Version management &continuous integration &deployment services provider (for example, Github, GitLab)

  1. Inability to timely launch new products as well as update existing ones

  2. Someone might lose market competitiveness in the market

  3. Lower capability of achieving customers’ evolving requirements

  4. New feature delays might cost the product possible revenue.

72 hours

Customer support &services

  1. Helping customers with their queries related to the products offered by Atlassian within a proper time &precision. This also includes handling tickets for a support desk, responding to technical questions or concerns, &handling customer concerns over the phone, through email, &a live chat. Help desk applications such as Email, chat, &phone support

  2. 12 hours

  3. The lean of the knowledge base &documentation platform (Rahman & Frezza, 2021, p. 14)


  1. Higher customer complaints &satisfaction levels decrease

  2. Past open issues that influence the use of the product

  3. Losing our reputation for customer service &having to constantly defend ourselves from charges is our biggest concern.

  4. Possible customer loss because of a series of shortcomings (Alt et al, 2020, p. 610)

6 hours



Atlassian’s Business Impact Analysis table identifies major business processes and their risks. It describes what the activity entails, the maximum allowable downtime within the activity, whether or not it depends upon any other services, how the disruption of the activity or service may affect other services, and the time it should take to recover from such a disruption. This analysis proves useful in decision-making regarding recovery processes and resource mobilization to have some of the critical operations of Atlassian running in the face of a disaster.



Part 3 – Incident Response Plan


Incident type

Actions are required to eradicate/resolve the incident

Resources are required to resolve the incident

Who is responsible for remediation actions

Systems/services to be prioritized

Systems/services will be affected during the remediation process &how

Cloud Service Outage

1. Triggers an incident response team.

2. Determine the type of problem (frayed-dial failure, computer glitch, or hacker intrusion).

3. Failover is another method that should be put in place to support our backup systems.

4. Update the program as needed fix or patch

5. Gradually restore services.

6. Another goal involves goal post-incident analysis.


Incident response team, cloud infrastructure engineer, Database administrator, Network engineer, backup &recovery system, monitoring &diagnostic tools

Chief Technical Officer, Head cloud operation, incident response team lead

  1. Core product server (JIRA, Trello)

  2. Data storage &retrieval systems, user

  3. authentication services

  4. Customer-facing APIs

  1. Any cloud type can have service disruption or performance degradation during failover &restoration.

  2. It can be expressed that access to customer data may be restricted for a certain amount of time.

  3. Incompatibility of operation with third-party apps may be affected.


Cybersecurity breach

1. Isolate-affected systems

2. Form the cybersecurity incident response team

3. The first thing that should be done is to discover the source of the breach &make sure that it is stopped.

4. Eliminate malware or shut down openings

5. Were systems restored from clean backups

6. Delete all potentially terrorized credentials


Cybersecurity response team,

Forensic analysis tool, malware removal tool, clean system backup, legal team, PR team

Chief information security officer, head of cybersecurity, legal counsel, PR director

  1. Customer data protection system

  2. User authentication &access control system

  3. Intrusion detection &prevention system

  4. Firewall &network security appliances


  1. Some of the systems in the organization may be shut down during the time of identification &removal.

  2. Timing controls can be applied with additional restrictions on user accessibility.

  3. Some services may be dragged down by the improvements in security.

  4. Users will experience temporary login difficulties when their passwords are reset by the system.


Critical product bug

1. Organize the formation of an emergency development team

2. Reproduce &analyze the bug

3. Develop &test a fix

4. Set staging hotfix

5. Conduct rapid QA testing

6. Let's fix the progression to production in stages


Emergency development team, QA testers, DevOps Engineer, Staging &Testing environment, Version control system, CI/CD Pipeline

VP of engineering, lead product manager, Head of Quality Assurance, DevOps team lead

  1. Affected product or feature

  2. related dependent services

  3. user-data integrity system

  4. performance integrity system

  1. Certain features or products may be withdrawn for a while.

  2. Some customers may experience short-term disruptions in service when hotfixing is in progress.

  3. There are various integrations or plugins where that may have to be disabled for a specific duration of time.

  4. Rates of usage during phases of system rollout could also be high thereby placing a load on its functionality.


Major customer support crisis

1. Activate crisis support team

2. Rapid response templates must be created in the context of the following problems.

3. This type of ticket requires the director to admit an emergency ticket prioritization system.

4. Increase the availability of customer support supplies (such as chatbots, &self-help handbooks)

5. They should also provide periodic updates to stakeholders.

6. Identify &report specific solutions for every open problem at work (Li et al, 2021, p. 491)


The crisis support team, technical support engineers, customer success manager, knowledge base authors, communication team, Chatbot, &AI support tool

VP of customer support, Head of customer success, technical support team lead, Community manager

  1. Customer support ticketing system

  2. Knowledge base &self-help resources

  3. Customer communication channel

  4. Issue tracking &escalation system (Pitchay & Dun, 2022, p. 85)

  1. Ordinary businesses of support may be affected as resources are the crisis.

  2. That is, the response time to non-urgent problems may become longer.

  3. Some of the repetitious support tasks such as feature requests may be turned off for the time being.

  4. Being overloaded, the support systems themselves may cause a marginal deterioration of the service quality (Tatineni & Mustyala, 2022, p. 117).







It is evident from the Atlassian incident response plan table management of critical incidents can be systematized. It covers the kind of incidents, measures to be taken, and actions needed to address the incidents, the resources required, the persons accountable for the process, priority models, and services that require intervention during remedial processes. This plan allows Atlassian to be ready to manage disruption effectively and provide less interference with its cloud services and customers.


Part 4 – Recovery Plan


Critical Business Activities

Preventative/Recovery Actions

Resource Requirements/ Outcomes

Recovery Time Objective

Responsibility

Cloud-based product availability

  1. strong cloud infrastructure in different regions

  2. Conduct regular failover tests

  3. maintain up-to-date system images for fast deployment

  4. Conduct a program to find the weaknesses

Cloud infrastructure (AWS, Azure), deployment &scaling tool, all-time availability of DevOps team, monitoring &alerting system

2 hours

Chief technical officer, head of cloud operation, DevOps team lead

Customer data security

  1. Apply a complete encryption system on the entire data

  2. Conduct regular security audits &penetration testing

  3. Maintain encrypted offline backups

  4. Apply multi-factor authentication on all the systems

Advanced encryption tool, security audit firm, secure backup facilities, identity &access management system

1 hour

Chief information security officer, head of cybersecurity, data protection officer

Product development &innovation

  1. Apply distributed version control with multiple backups

  2. Create documentation of all the development processes

  3. Train different teams on different products

  4. Use containerization for consistent development

Distributed version control system, Documents management system, containerization platform

24 hours

VP of Engineering, head of product development, DevOps team lead

Customer support &service

  1. Apply a cloud-based distributed support ticketing system

  2. Update knowledgebase with offline access

  3. Train support staff on different products

  4. Create AI-based chatbots for support queries (Morrish & Jones, 2020, p. 84)

Cloud-based support ticketing system, offline knowledge base, AI-based chatbot, &backup tools (Alicke, 2020, p. 5)




4 hours

VP of Customer Support, Head of Customer Success, knowledge base team lead (Dias et al, 2022, p. 100)


It is worth clarifying that Atlassian plans to use a Recovery Plan to bring back normal functioning after important failures. This includes business functions, preventive and corrective measures, resources needed, recovery period, and role of responsibility. This plan allows Atlassian to easily restore its critical operations – availability of the cloud-based products and services, and customer support – after any disruption.


Reflection

Assessment:

Recommendation: Integrate AI-powered Predictive analytics for Risk Management.

Explanation: As such, with the aid of machine learning algorithms to mine historical incident data, customer usage patterns, &global emerging/advanced technologies for the same industry, Atlassian is in a better position to predict probable incidents &the effects on core services.

Preparedness:

Recommendation: Introduce a “proof of concept” of an actual copy of Atlassian’s infrastructure for extreme situation simulation.

Explanation: Its goal is to have a complete mirror copy of Atlassian’s entire cloud architecture &service environment to simulate, from a completely safe &non-intrusive standpoint of live systems, numerous types of disasters, &corresponding remedies.

Response:

Recommendation: Automate an Incident Triage &Response based on Artificial Intelligence.

Explanation: This system could identify violations on its own &alert the appropriate teams, thus preclosing responses to incidents &minimizing human factors during critical response time.

Recovery:

Recommendation: Develop a concept of “Recovery-as-Code” regulation.

Explanation: With different products &complexity levels, Atlassian can achieve the fastest recovery by scripting the processes into scripts &infrastructure as code templates that prevent errors introduced by handling dozens of products at once while speeding up the recovery processes.


These are aimed at using Atlassian’s technological capabilities to improve its BCP which would guarantee proper continuity of its important cloud-based operations.




References

Alicke, K., Azcue, X. & Barriball, E., 2020, ‘Supply-chain recovery in coronavirus times—plan for now &the future,’ McKinsey & Company. –2020.–URL: https://www. McKinsey. com/business-functions/operations/our-insights/supplychain-recovery-in-coronavirus-times-plan-for-now-and-the-future.Viewed 4 October 2024 https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Operations/Our%20Insights/Supply%20chain%20recovery%20in%20coronavirus%20times%20plan%20for%20now%20and%20the%20future/Supply-chain-recovery-in-coronavirus-times-plan-for-now-and-the-future.pdf

Alt, R., Leimeister, J.M., Priemuth, T., Sachse, S., Urbach, N. & Wunderlich, N., 2020, ‘Software-defined business: implications for IT management,’ Business & Information Systems Engineering, vol. 62, no. 1, pp.609-621. Viewed 4 October 2024 https://link.springer.com/content/pdf/10.1007/s12599-020-00669-6.pdf

Dias, Á., Patuleia, M., Silva, R., Estêvão, J. & González-Rodríguez, M.R., 2022, ‘Post-pandemic recovery strategies: Revitalizing lifestyle entrepreneurship,’ Journal of Policy Research in Tourism, Leisure &Events, vol. 14, no. 2, pp.97-114. Viewed 4 October 2024 https://repositorio.iscte-iul.pt/bitstream/10071/22237/1/article_79984.pdf

Koskela, N. & Aspfjäll, C., 2021, ‘Agile Risk Management,’ Viewed 4 October 2024. https://www.diva-portal.org/smash/get/diva2:1571629/FULLTEXT02

Li, L., Zhang, X., Zhao, X., Zhang, H., Kang, Y., Zhao, P., Qiao, B., He, S., Lee, P., Sun, J. & Gao, F., 2021, ‘Fighting the fog of war: Automated incident detection for cloud systems,’ In 2021 USENIX Annual Technical Conference, pp. 489-502, Viewed 4 October 2024 https://www.usenix.org/system/files/atc21-li-liqun.pdf

Morrish, S.C. & Jones, R., 2020, ‘Post-disaster business recovery: An entrepreneurial marketing perspective,’ Journal of Business Research, vol. 113, no. 1, pp.83-92. Viewed 4 October 2024 https://www.sciencedirect.com/science/article/pii/S0148296319302243

Peltokorpi, M., 2023, ‘Resilient Risk Management: case study on medical device risk management. Viewed 4 October 2024https://www.theseus.fi/bitstream/handle/10024/806274/Peltokorpi_Mika.pdf?sequence=2




Pitchay, S.A. & Dun, Y.T., 2022, ‘Systematic Literature Review on IT Asset Management Framework in Security Operation Center,’ Malaysian Journal of Information &Communication Technology (MyJICT), vol. 7, no. 2, pp.82-97, Viewed 4 October 2024 https://myjict.uis.edu.my/index.php/journal/article/download/161/93

Rahman, T. & Frezza, S.T., 2021, ‘A study on the impact of using industry standard tools &practices on software engineering courses projects,’ In 2021 ASEE Virtual Annual Conference Content Access. Viewed 4 October 2024 <https://www.researchgate.net/profile/Stephen-Frezza/publication/354036790_A_Study_on_the_Impact_of_Using_Industry_Standard_Tools_and_Practices_on_Software_Engineering_Courses_Projects/links/613247b20360302a007a5d3b/A-Study-on-the-Impact-of-Using-Industry-Standard-Tools-and-Practices-on-Software-Engineering-Courses-Projects.pdf>.

Tatineni, S. & Mustyala, A., 2022, ‘Advanced AI Techniques for Real-Time Anomaly Detection &Incident Response in DevOps Environments: Ensuring Robust Security &Compliance,’ Journal of Computational Intelligence &Robotics, vol. 2, no. 1, pp. 88-121, Viewed 4 October 2024. <https://thesciencebrigade.com/jcir/article/download/230/224>.


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