Archives

The COVID-19 pandemic has continued to impact social, economic, and health parameters across the globe — which seems to be far from over. There is a significant amount of uncertainty across industries and businesses — irrespective of scale — about what the fallout will be like.

The retail industry has seen its fair share of turbulent times in the past, but this pandemic has tested this industry to its limit. Due to quarantine measures, retail customers have been opting for minimal human contact and moving towards online consumption patterns. Now, as some countries start to re-open shops, restaurants, and other public places, retailers are highly aware of the importance of health safety for both their customers and associates in this new post-COVID world.

Innovation and digital disruption are the only way to survive, but adoption needs to happen at an even faster pace than before. At GlobalLogic, we have observed multiple trends that boomed during the pandemic and are likely to become the new normal.

Post-COVID Retail Innovation Trends

E-Commerce

Since the pandemic started, online sales in the U.S. jumped 49% in comparison to last year. Customer shifted from store visits to ordering from home. This trend will likely continue post-COVID, as most customers realized its convenience while also minimizing their health concerns. According to a World Economic Forum article, department stores are expected to decline by over 60%, and e-commerce is expected to grow by nearly 20% in 2020. Retail giants like Walmart, Target, CVS, and Kohl’s have embraced their omnichannel fulfillment methods to successfully address this shift; other organizations are beefing up their e-commerce strategy as an immediate measure.

In-Store Digitization

As countries are opening up, so are the stores and malls. However, the important thing to notice is how many customers will come back and how much time they are willing to spend in the stores. Hence, it is imperative for stores to make themselves digital-friendly, such as offering product information sharing, real-time inventory information, and customer loyalty management using fewer associates in coherence with their customers' omnichannel activities.

Touchless Experience

The stigma of this pandemic has made customers realize they would prefer touchless interaction in a store to complete their buying process. In fact, curbside orders increased 208% during the pandemic. We will see a lot more adoption of BOPIS (buy online, pick up in store) with curbside pickup, touchless payments, book appointments for pickup, etc. for years to come.

Inventory Management/Fulfilment

This is a major concern faced by almost every retailer; there was either a crunch of essential supplies or a stockpile of non-essential goods. To address this inventory automation and fulfillment, digitization became critical. Retailers started adopting inventory digitization to have minimal human intervention, and closed stores were converted into dark fulfillment stores for delivery and inventory stock-up. These measures enabled retailers to get back to a normal supply chain.

AR/VR Adoption

A Coresight Research report estimated that the AR/VR market is forecasted to reach $18.8 billion in 2020, citing pre-COVID-19 projections from Statista. Customers can now experience products virtually through various AR/VR options like virtual try-on, virtual malls, product visualization, access to product information, etc. This technology provides customers with viable options to engage with a product before buying it. We expect to see a lot more focus and investment in this segment.

Key Acceleration Themes for Retailers

GlobalLogic partners with multiple leaders in the retail space to design and develop innovative new products and platforms. In fact, we have created blocks of well-architected accelerators backed by a repository of scale, encapsulating 5000 person-years of industry and technology expertise in Retail/CPG. Based on this deep industry knowledge, we are predicting that the below themes will be pivotal for retailers to accelerate their business post-COVID.

BOPIS with Curbside Pickup

BOPIS with curbside pickup is the most asked-for feature by customers. BOPIS allows customers to order products online and pick them up from the store, while curbside pickup provides a more convenient way for users who do not want to physically go inside the store to retrieve their purchases. Curbside can also be completely contactless by having an associate place a customer's purchases directly into the trunk of their vehicle.

Contactless Payments in the Store

These days, customers prefer contactless payments in the store to minimize the risk of virus spread. Customers can use their mobile phone to make payments in-store using NFC or by scanning a QR code. This method makes payments safer, faster, seamless, and efficient, resulting in an enhanced customer experience.

In-Store Digitization

Retailers must empower store associates by providing them with digital tools to enhance their efficiency. With the right tools, associates can spend more time serving customers effectively. They can easily answer customers' questions about stock inventory, find products at nearby stores, or check the price of a product.

Voice Commerce Capabilities

Customers now want the ability to search for and buy products online through voice commands. Using Google Assistant or Amazon Alexa, customers can add products to their shopping lists, make purchases, and check the status of their orders. It is so natural, like talking to your personal assistant.

In Conclusion

There is no going back to pre-COVID days for multiple industries due to the unforeseen impact of this pandemic. However, as with any downturn, there is a more prominent upturn — including for retail. New trends and innovations have come into play and will keep evolving as we move towards a brighter post-pandemic era.

✓ Meet Jira Service Management

✓ New events in the audit log (Data Center)

✓ Email templates made better (Data Center)

✓ Set context for custom fields as you create them

✓ Personal access tokens

✓ Embedded Crowd and password encryption

 Meet Jira Service Management

We are excited to introduce Jira Service Management, the next generation of Jira Service Desk. Jira Service Management is an ITSM solution built on Jira that helps IT operations and development teams collaborate quickly.

Jira service management 4 14 1

 

New events in the audit log

Atlassian has added new events to the audit log:

  • SLA conditions created
  • Updated SLA terms and conditions
  • Organisation linked to project
  • Organisation disconnected from project
  • JSM notification rule template updated
  • Email channel updated (password changes)

The following features are included in the Jira Platform, meaning they are available across the Jira family – Jira Core, Jira Software and Jira Service Management.

Email templates made better

You can now download email templates for your notifications directly from Jira. This should give you easy access to all the files you need. Once you have changed the templates, you can upload them again and Atlassian will take care of moving them to the right places.

Jira service management 4 14 2

 

After upgrading to Jira Service Desk 4.14, Atlassian copies the default Jira Mail templates to your shared Jira Home directory. Thanks to this, any changes you make will be preserved in future upgrades without requiring any extra steps from you.

Set context for custom fields as you create them

Custom fields can have two configurations – global and project-specific. Global context has been the default choice, but such custom fields are applied to all outputs in your instance and can affect performance. Atlassian has made a few simple improvements to help you choose the right context.

Jira service management 4 14 3

 

Now you can select the context of the custom fields as soon as you create them. This should help you limit the number of global custom fields and keep your Jira instance in the best shape possible.

Personal access tokens

The Jira REST API offers numerous options for automation and integration with other systems. For added security, you can now create personal access tokens, which are a secure alternative to using a username and password for authentication.

Jira service management 4 14 4

 

Go to your profile in Jira and select Personal Access Tokens to create a token. By default, you can create up to 10 tokens and set different expiry dates for each. In the Jira Data Center, Jira system administrators can additionally view all tokens and revoke them at any time.

Embedded Crowd and password encryption

Atlassian improves security with Embedded Crowd. Starting with Jira 8.14, all passwords held in the Jira database in plain text will be encrypted. If you are a user of the upgrade, the encryption of passwords will be performed during the upgrade.

Hier ist die Liste der sensiblen Daten, die verschlüsselt werden:

  • LDAP directory passwords
  • Remote Crowd directory application passwords
  • Azure AD web application keys
  • SMTP mail passwords
  • Proxy passwords

✓ Planned changes

✓ Implemented changes

Latest milestone
8 December 2020 7.10.0-rc1 Download

Planned changes

In this section you will be provided with an overview of the changes that Atlassian intends to make, so you can start thinking how it might impact your app. We’ll indicate when a change has been implemented, and in which milestone.

Seraph upgrade

Status: COMPLETE

In this release Atlassian is upgrading atlassian-seraph from 4.0.4 to 4.1.0, which removes the ability to use query parameters to log in. This might affect your development environment and automated tests:

  • If you’re starting Confluence with AMPS in dev mode (atlassian.dev.mode=true) this change won’t affect you.
  • If you’re relying on the os_username+os_password query parameter for faster logins, you’ll need to add the atlassian.allow.insecure.url.parameter.login=true system property. We’ve used this workaround in several of our builds.
  • If you’re using the stateless test runner, you can add the use.form.login=true system property to your test config, for slower, but safe builds which more closely match how end users use the product.

XStream upgrade

Status: COMPLETE

Atlassian is also upgrading the version of XStream bundled with Confluence. This is a major upgrade that breaks compatibility with the old format of stored data. To help with this, they are adding a layer of backward compatibility to support existing data in Bandana.

See XStream 1.4 upgrade for full details.

The special milestone is no longer available as this change is now available in 7.10.0-m43.

OAuth 2.0 authentication

Status: DELAYED

The Atlassian team is adding the ability to configure OAuth 2.0 authentication. Within Confluence this will mostly be used for mail server authentication (such as a POP3 incoming mail server), but will also be available to apps.

See OAuth 2.0 integration for developers.

They’re still working on the mail server configuration screens in Confluence, that will allow you to select OAuth 2.0 as the authentication method, so they’ve rolled back the OAuth 2.0 changes for now.

Create and reply by email

Status: DELAYED

Atlassian has been improving the Create by email and Reply by email plugins. These plugins have always been disabled by default, and were quite difficult to use because there was no UI for configuring the feature.

They’re making some improvements to the way the feature works, and adding a new admin screen which administrators can use to enable the features.

They’re still working on this one, and will provide more information at a later date.

Jira Service Desk is now Jira Service Management

Status: COMPLETE

As you may already be aware, from version 4.14 Jira Service Desk becomes Jira Service Management. In this release Atlassian has updated the places in Confluence that refer to Service Desk to now refer to Service Management. This is just a visual change, and has no impact on compatibility.

Removal of editor-v3

Status: ADVANCE NOTICE

When Atlassian upgraded their editor to TinyMCE v4 way back in Confluence 6.14, they introduced an unsupported dark feature that could be used to revert to the v3 editor (frontend.editor.v4 / frontend.editor.v4.disable). They plan to remove this dark feature flag in a future Confluence release, as they are no longer tested or reliable.

Once that happens, the editor-v3   WRM context will no longer be loaded. Any resources used only in this context can be removed completely. The editor   and   editor-v4   contexts are unchanged, and with this change, resources in   editor-v4   can be safely moved to   editor.

Implemented changes

In this section we’ll provide details of changes that Atlassian has implemented, organised by the milestone they are first available in. This will help you decide which milestone to use when testing.

Release Candidate – 8 December 2020

No significant changes in this release candidate.

Beta 1 – 30 November 2020

In this beta:

  • Seraph upgrade. See above for more details.

EAP 2 – 23 November 2020

Milestone 7.10.0-m43

In this milestone:

  • XStream upgrade. See XStream 1.4 upgrade for details.
  • Upgraded Spring from 5.1.14 to 5.1.18.

EAP 1 – 16 November 2020

Milestone 7.10.0-m32

In this milestone:

  • Jira Service Desk is now Jira Service Management in the Confluence UI.

Sports always attract a lot of attention. International competitions like the Olympic Games and the FIFA World Cup are broadcast live on national TV channels, and there are many people who discuss players online. Watching your favourite  athletes and experiencing tense moments with them is something we all are so used to.

However, we still cannot watch semi-professional or non-professional teams live; they are often left behind in the backstage of big sports. This is happening due to the high cost of broadcasting, and due to the complexity of the process and technologies required for high-quality data transmission. Thankfully, we are already seeing evidence that this situation will change dramatically in the near future; broadcasts will become more accessible to matches of any level due to the introduction of new approaches. Let's take a look at such innovations in sports and see how they are changing the industry.

Minimizing the Impact of Quarantine Restrictions

Automatic online broadcasting technologies are becoming even more important with the introduction of COVID-19 restrictions around the world, which have caused the current crisis in sports. Sport teams have been unable to play matches and have not made any revenue from them. Similarly, sports broadcasters lost hundreds of millions of dollars because they could not show ads during games. The fans stayed at home and will not return to the stadiums soon.

The pandemic has increased the need for automatic, high-quality match broadcast solutions that require minimal human management. Football clubs such as Barcelona, Bayern Munich, and Celtic are already considering using an automatic online broadcasting system. Even before the pandemic, analysts predicted in 2019 that technology that attracts fans will have the greatest impact on sports in the future. We see that this is indeed the case (such as the the LA Galaxy fan engagement platform that GlobalLogic helped develop), and COVID-19 has only further influenced this trend.

Information is Changing the Sports Industry

There are two ways to grow and use video content in sports: (1) broadcast personalization and (2) sports analytics.

Sporting event broadcasts are becoming more and more personalized. For example, how about switching between cameras and watching match moments that are of interest to you? During the 2020 NFL season, CBS Sports deployed 26 cameras so that football fans could choose the one to watch — both live and on-demand. For now, such technology is not available to amateur sports, but it is a promising start.

Sports analytics is developing much faster than personalization. By capturing the video footage during a game, coaches and managers can quickly adapt their strategies and set new goals. Sporting matches now require more preparation than before, and the competition has become more intense in both professional and amateur leagues. Athletes can also watch a repeat of a sporting event, analyze their performance, and identify what can be improved. In addition, the entire team can prepare for future matches, noting the strengths and weaknesses of their opponents.

Technologies are Affordable to All

The implementation of advanced technology requires big money. While professional teams can purchase expensive equipment and hire a large team of specialists, amateur clubs cannot afford these luxuries. However, more and more new technologies are emerging that enable online broadcasting at relatively low costs. Some of these technologies can even be used in educational settings. For example, Polk County schools in North Carolina recently joined the National Federation of High Schools (NHFS) Network to stream sporting events online.

The main task of such systems is simple and obvious: to minimize the budget and to make the process of broadcasting games as simple as possible in both technical and organizational terms (i.e., the solution can be accessible for semi-professional and amateur clubs).

Pixellot AI Camera Solution

One such affordable broadcast system alternative is the Pixellot AI camera solution, which GlobalLogic helped develop and continues to evolve. Pixellot automates the end-to-end video production and data collection for broadcasting and coaching. The solution consists of several cameras in a single camera head unit, which is connected to a computer that controls the shooting mode (i.e., panoramic view or television view). The system (1) analyzes video streams in real-time, (2) automatically recognizes and tracks objects on the field, and (3) generates an authentic broadcast feed that follows the action of the game.

Each broadcast displays not only the total score of the game, but also the actions of each individual player (e.g., goals, assists, interceptions, blocks, fouls, etc.). All this is possible due to machine learning (ML) and artificial intelligence (AI) algorithms. The Pixellot system is able to recognize, monitor, and detect command colours. It can define the boundaries of a playing field, the role of the people who are on it (i.e., players,  referees, etc.), and what is happening on it (e.g., pass, goal, kick, etc.).

Pixellot is also making inroads into content personalization, which as I mentioned before, is a highly desirable technology for the sports industry. The system generates all players statistics per match or season in two clicks; creates highlight reels in moments; and allows you to download these videos, edit them, share them on social networks, comment on them, or save them. Whether you are a spectator, coach, talent recruiter, the Pixellot system makes the viewing process more interactive and interesting. It also opens up new horizons for analyzing and evaluating young players' prospects.  Through analytics, an athlete can see their strengths and weaknesses and track their progress.

Future Development

This new broadcast technology will only evolve and spread in the future. We can already see this, especially when there are about 40,000 online broadcasts of 130 sports leagues on 6,000 fields and stadiums every month. Every day, more and more people are joining different platforms to watch online broadcasts. This applies even to school competitions. For example, the Jupiter Christian School in Florida has installed equipment for broadcasting sports games so that they can be watched at home. This is also important when talking about reducing the number of contacts during the quarantine. 

To improve the user experience when watching broadcasts online, integration with OTT media like Netflix or Megogo — which according to Forbes is already displacing traditional television — will be strengthened. The user will have an entire OTT online platform for their local or amateur club, which is currently nowhere to be found. In addition, there may also be integration with sports bookmakers, which are a large market.

Also in the future, viewers will be able to watch the game in a more interactive form using augmented or virtual reality. For example, with Pixellot, GlobalLogic plans to expand the system features and allow each user to freely choose what to look at: a ball, goal, player, or any other object. Our developers are also working on creating (1) a heat map of the field to track where a player was most active, as well as (2) an attack map that shows to which side of the field a player is most likely to pass, etc. 

So as online broadcasts gain momentum and become more commonplace and familiar to fans, new technologies will become integral to improving and expanding the current sports industry.

 

Improved user selection

We have optimized the behavior of single user selection to make it easier to identify users. Now the selection shows the full name and avatar of the user. This way, the custom field user selection has the same appearance as the user system fields such as Reporter and Agent.

Screen+shot+2020 07 14+at+11.14.13

Filtered by category

Monitoring log events are divided into categories. With a Jira Data Center license, you can now filter the log by one or more categories. This is especially useful if, for example, you only want to view security and authentication events.

Filter by summary

Get even more specific by filtering by summary. This allows you to drill down to specific events, such as created groups or created projects.

Change log file retention settings

In Jira Data Center, we write events to a monitoring log file in your local outgoing directory. This file can be used as an additional record and when integrated with third-party logging aggregation tools.

Previously, the number of log files stored was limited to 100. This is now configurable, allowing you to store more or less as needed. The maximum size of each file is 100 MB. Therefore, make sure that you have enough storage space available on each node.

Screenshot+2020 07 24+at+09.43.41

New Events

We’ve added new events to track priority, secure administrator login (Websudo), problem export, and OAuth 2.0 integration to give you better visibility into your application.

Support for MySQL 8.0

We are adding another database to the list of supported platforms – MySQL 8.0.

Reduced impact of the app on Jira indexing of (Data Center)

Worried about your indexing times? Read on, as this feature may change that. The document-based replication feature we introduced reduces the impact of apps on indexing time and prevents index inconsistencies in the Jira Data Center. This is independent of the time it takes apps to index data. When DBR is enabled, the Jira Data Center is much more horizontally scalable. The more nodes in the cluster, the better the overall throughput while maintaining search consistency. For more information, see Document-Based Replication in the Jira Data Center.

Users created automatically with just-in-time user provisioning (Data Center)

Just-in-time user provisioning (JIT provisioning) allows users to be automatically created and updated when they log in to Atlassian data center applications such as Jira, Confluence or Bitbucket via SAML SSO or OpenID Connect (OIDC) SSO.

Without JIT, SSO login fails if the user is not present in any of the user directories (be it a remote LDAP or the internal directory). If JIT is enabled, a user can be created just in time. This allows an immediate logon without having to create the user manually in the product first. The data required to provision the user is taken from the SSO response after user authentication, which must be configured in the Identity Provider (IdP) you have selected. Learn More

Small improvements for your day

    • Sequence of the statuses
      The order of the statuses displayed in the columns on your card now reflects the order you set in the card configuration. If you do not want Chosen for Development to always lag behind, go to Board> Configure and shuffle the statuses as you wish.

 

  • Accessibility: background in subtle keys
    We’ve added a new entry helper option that allows you to add a gray background to subtle buttons (which are normally displayed on hover) to make them stand out better. As with all other accessibility features, you can view them under Profile> Accessibility.

Introduction

Insurance underwriting is a process of analyzing and evaluating the risks involved in insuring people and assets. However, with a surge in technology, almost every aspect of life has become technology-oriented. The advent of software has put individual underwriters and their jobs at great risk. We are observing a diametric shift from risk management to scientific data analysis. In an era of the machine versus the mind, will insurance underwriters be able to sustain themselves?

What’s Coming Your Way

According to Forbes, insurance underwriting was listed as one of the “10 most endangered jobs in 2015.” Citing data from the Bureau of Labor Statistics (BLS), U.S., it forecasts that employment in this role is expected to fall by 6 percent — from 106,300 insurance underwriters in 2012 to fewer than 99,800 in 2022. The  partnerships between several tech giants and insurers have resulted in the development of products such as IBM’s Watson and the SymbioSys underwriting engine, which are fueling the fact that underwriters might be replaced by off-the-shelf software.

This article is not just limited to the role of underwriters and the possibilities in technological advancements. It will also touch upon various technologies that affect the insurance industry and whether it will be apt to believe that humans will be replaced by the computer algorithms.

What Does an Underwriter Do?

Underwriting is a job that has existed for as long as there has been a need for insurance. It’s one of the critical steps involved in the process of issuing insurance policies. Underwriters examine the amount they are going to write in relation to the premium that is being paid for that risk. They decide whether or not to write that risk followed by policy issuance for an individual or a business entity. Any wrong conclusion can actually affect the insurer’s solvency ratio, further impacting the balance sheet as millions of dollars are at stake.

Traditional vs Automated Approach

To quote insurance policy, the traditional ways of dealing with linear processing has rapidly changed from month(s) to days, and further, to a few clicks. Emerging technologies like the Internet of Things, Artificial Intelligence, and Machine Learning are revamping the overall underwriting process with the help of readily available customer data. The growth in these large amounts of data has initiated this predictive risk management approach.

Companies are moving to a more robust analysis of risk attributes and are applying a dynamic approach to their evaluations by gaining insights from the data. This allows them to be aware of the changing aspects of risk ahead of the market.  It also ensures that they are competitive and aligned with the needs of their prospective customers. A trend that looks promising for the future is that tomorrow’s top performers in the industry will have underwriters who play considerably varied and diverse roles, such as sales executive or decision scientist, customer advocate or innovator. This will further empower business process innovation and also provide cross-functional support.

According to the industry analyst firms, supercomputers’ cognitive capability is one of the most prominent reasons behind this cultural change. A lot of research and development is happening, and enterprises are making huge investments to take the first mover advantage. For instance, IBM has invested billions of dollars creating a Watson supercomputer. The main USP of Watson is just like that of a human: it learns from whatever data is fed into it. It is then able to analyze, do research, and give suggestions in a simple and understandable language.

Productivity Measurement

With the evolving technologies, traditional ways of measuring underwriters' productivity on performance indicators like percentage of applications approved, turnaround time, etc., would no longer be relevant. As the industry is showing signs of maturity for embracing the cultural shift, the performance indicators have to match the new age underwriting process. Some of the key performance indicators include fine-tuning the AI algorithms for analyzing the data, identifying upfront which risk class is favorable, preparing the better risk assessment models leading to lower expense ratio, etc.

Though it is just a thought based on the fact that industry is evolving, over a period of time, these will get more refined and in-tune with the prevailing market theme.

A Note Before We Part

On one hand, the future of insurance will be determined by the advent of powerful new technologies. There will be challenges to find the right talent to capitalize on this data-driven transformation. On the other hand, due to practical and strategic reasons, underwriters have a clear and urgent opportunity to diversify their skills moving forward, which can be in line with the changing landscape of the industry as a whole.

Also, we may say that although the underwriting role may be at the brink of closure, there will still be a need for these individuals to spend a good portion of their time interacting with potential clients and brokers, proving they are excellent “people persons.” They also need to keep themselves updated with the latest market trends and technologies.

With their experience and good judgement, underwriters can further fine-tune these emerging AI solutions rather than just define the workflow or play with BPM tools. This shift from prognostic risk measurements to highly data scientific roles will be one of the key factors that will break the status quo and will decide the future path for underwriters down the line.

References

https://riskandinsurance.com/will-technology-replace-underwriters/

https://www.ey.com/Publication/vwLUAssets/EY-the-future-of-underwriting/$FILE/EY-the-future-of-underwriting.pdf

https://www.carriermanagement.com/features/2017/01/11/162831.htm

In this white paper, GlobalLogic takes a look at how 5G brings with it a host of new possibilities and will expand the scope of growth and revenue generation, especially for the media and entertainment industry.

In just a decade, 5G is estimated to grow by 79%, making video consumption, augmented reality, and virtual reality more efficient. With 5G, the world of gaming will be more competent and collaborative whilst opening up newer avenues for advertisement.

This paper also takes a closer look at the impact of 5G and its five important pillars that will enable immersive media for a mass-market. 5G

Digital transformation is a process that relies not only on technology, but also on other digital transformation driving forces such as people and skills development, alliance development, customer experience digitalization and enhancement, value add across products, and innovation. In all digital transformation initiatives, technology is the primary enabler that provides the necessary building blocks to empower change across an organization.

Microservices have proven to be a bullet-proof approach to digitally transforming a business by attacking existing technical debt, simplifying complex current scenarios, and using a clean and robust microservice architecture. Learn more in this white paper on strategies for using microservices to achieve digital transformation.

Ever wondered how Google manages to know so much about users likes and dislikes so accurately and how they are able to recommend solutions? The answer is by having access to relevant and accurate user data. In the AD technology space, data plays a critical role in defining the success of a business.

With Google planning to phase out the use of third-party cookies in its Chrome browser, advertisers are increasingly seeking granular audience data from other sources (such as digital content accessed by apps and streamed over smart TVs, mobile, or OTT devices) to preserve the accuracy of their ad targeting.

Increasingly, publishers or product owners are trying to grow their addressable audiences through authentication and registration strategies. They are working to create their own personalized ad targeting capabilities for their user base across platforms rather than relying on third party systems. In Advertising outside the walled gardens, these third party sources collect user information via cookie syncing and other methods to serve targeted advertisements.

Our GlobalLogic team will take you through a solution which leverages a customer data platform (CDP) to unify customer data and personalize ad targeting, all while complying with privacy policies such as GDPR and CCPA.

✓ Rerun builds from Bitbucket

✓ Database password encryption

✓ Graceful shutdowns (Linux only)

Rerun builds from Bitbucket

With Bitbucket Server 7.4, Atlassian has introduced Integrated CI/CD. Designed to get from idea to production faster, it provides new ways to get continuous feedback on your code directly in Bitbucket, reducing the need to switch tools.

Starting with this release, you can re-run builds from Bitbucket. On the Builds page and the Builds pull request page, there is now an Actions column with a menu button for each build. From here you can start the actions authorisation process, and then you can re-run Bamboo plans and Jenkins jobs from this menu.

Database password encryption

To add an extra layer of security, you can now encrypt the database password, which is stored in the bitbucket.properties file. You can use one of the two encryption methods Atlassian offers in this version or create your own.

Graceful shutdowns (Linux only)

Bitbucket now supports an orderly shutdown through the SIGTERM signal. Performing an orderly shutdown allows Bitbucket to complete all scheduled tasks, ongoing Git requests and running user requests before exiting. This in turn helps prevent users from losing work during maintenance tasks that require a shutdown.

What else is new?

  • Atlassian has added JMX metrics for Integrated CI/CD build actions
  • The SSLv2Hello protocol has been removed from the default list of mail SSL/TLS protocols. For more details, see  BSERV-11889 – Bitbucket fails to send mail to Office365 when using Java 11 Closed
    If you require this protocol, then it can be reinstated by adding the following entry to the bitbucket.properties file:

    mail.crypto.protocols=SSLv2Hello TLSv1 TLSv1.1 TLSv1.2
  • URL copied!