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Through this article, I will be discussing the concept of **_Abstraction _**and how we can achieve it partially or completely in java programming. I have already covered other important pillars of OOPs that are Inheritance, Polymorphism, Encapsulation, and Compositions. After reading this article you would be in a position to answer this question in your next interview.
It is one of the pillars of OOP like Inheritance, Encapsulation, and Polymorphism.The basic English meaning of Abstraction is the quality of dealing with ideas rather than events. Did you get it? I know it’s hard to grasp.Let me put its definition in another way **basically it deals with hiding the internal details and showing the essential things to the end-user.**A real-life example of abstraction can be using an electric circuit board. We use the buttons to turn on and off the electrical devices through the circuit board. We know a lot of things happen inside the board. Here we are using the functionality provided and we aren’t interested in the actual working of the circuit board.Now let’s relate this example with classes and interface. The surface of the electric board is an Interface and the actual implementation of the electric circuit board is a class.
#java-programming #software-engineering #abstraction #software-development #java #why you must know abstraction?
1671543249
February 15, 2022 marked a significant milestone in Atlassian’s Server EOL (End Of Life) roadmap. This was not the final step. We still have two major milestones ahead of us: end of new app sales in Feb 2023, and end of support in Feb 2024. In simpler words, businesses still have enough time to migrate their Jira Server to one of the two available products – Atlassian Cloud or Atlassian DC. But the clock is ticking.
If we were to go by Atlassian numbers, 95% of their new customers choose cloud.
“About 80% of Fortune 500 companies have an Atlassian Cloud license. More than 90% of new customers choose cloud first.” – Daniel Scott, Product Marketing Director, Tempo
So that’s settled, right? We are migrating from Server to Cloud? And what about the solution fewer people talk about yet many users rely on – Jira DC?
Both are viable options and your choice will depend greatly on the needs of your business, your available resources, and operational processes.
Let’s start by taking a look at the functionality offered by Atlassian Cloud and Atlassian DC.
Feature | Atlassian Cloud | Atlassian Data Center |
Product Plans | Multiple plans | One plan |
Billing | Monthly and annual | Annual only |
Pricing model | Per user or tiered | Tiered only |
Support | Varying support levels depending on your plan: Enterprise support coverage is equivalent to Atlassian’s Data Center Premier Support offering | Varying support levels depending on the package: Priority Support or Premier Support (purchased separately) |
Total Cost of Ownership | TCO includes your subscription fee, plus product administration time | TCO includes your subscription fee and product administration time, plus: costs related to infrastructure provisioning or IaaS fees (for example, AWS costs) planned downtime time and resources needed for software upgrades |
Data encryption services | ||
Data residency services | ||
Audit logging | Organization-level audit logging available via Atlassian Access (Jira Software, Confluence) Product-level audit logs (Jira Software, Confluence) | Advanced audit logging |
Device security | Mobile device management support (Jira Software, Confluence, Jira Service Management) Mobile application management (currently on the roadmap) | Mobile device management support (Jira Software, Confluence, Jira Service Management) |
Content security | ||
Data Storage limits | 2 GB (Free) 250 GB (Standard) Unlimited storage (Premium and Enterprise) | No limits |
Performance | Continuous performance updates to improve load times, search responsiveness, and attachments Cloud infrastructure hosted in six geographic regions to reduce latency | Rate limitingCDN supports Smart mirrors and mirror farms (Bitbucket) |
Backup and data disaster recovery | Jira leverages multiple geographically diverse data centers, has a comprehensive backup program, and gains assurance by regularly testing their disaster recovery and business continuity plans. Backups are generated daily and retained for 30 days to allow for point-in-time data restoration | |
Containerization and orchestration | Docker images Kubernetes support (on the roadmap for now) | |
Change management and upgrades | Atlassian automatically handles software and security upgrades for you Sandbox instance to test changes (Premium and Enterprise) Release track options for Premium and Enterprise (Jira Software, Jira Service Management, Confluence) | |
Direct access to the database | No direct access to change the database structure, file system, or other server infrastructure Extensive REST APIs for programmatic data access | Direct database access |
Insights and reporting | Organization and admin insights to track adoption of Atlassian products, and evaluate the security of your organization. | Data Pipeline for advanced insightsConfluence analytics |
When talking about pros and cons, there’s always a chance that a competitive advantage for some is a dealbreaker for others. That’s why I decided to talk about pros and cons in matching pairs.
Pro: Scalability is one of the primary reasons businesses are choosing Jira Cloud. DC is technically also scalable, but you’ll need to scale on your own whereas the cloud version allows for the infrastructure to scale with your business.
Con: Despite the cloud’s ability to grow with your business, there is still a user limit of 35k users. In addition to that, the costs will grow alongside your needs. New users, licenses, storage, and computing power – all come at an additional cost. So, when your organization reaches a certain size, migrating to Jira DC becomes more cost-efficient.
Pro: Jira takes care of maintenance and support for you.
Con: Your business can suffer from unpredicted downtime. And there are certain security risks.
Pro: Extra bells and whistles:
Con: Most of these features are locked behind a paywall and are only available to either Premium and Enterprise or only Enterprise licenses (either fully or through addition of functionality. For example, Release tracks are only available to Enterprise customers.) In addition, the costs will grow as you scale the offering to fit your growing needs.
I’ll be taking the same approach to talking about the pros and cons as I did when writing about Atlassian Cloud. Pros and cons are paired.
Pro: Hosting your own system means you can scale horizontally and vertically through additional hardware. Extension of your systems is seamless, and there is no downtime (if you do everything correctly). Lastly, you don’t have to worry about the user limit – there is none.
Con: While having more control over your systems is great, it implies a dedicated staff of engineers, additional expenses on software licensing, hardware, and physical space. Moreover, seamless extension and 0% downtime are entirely on you.
Pro: Atlassian has updated the DC offering with native bundled applications such as Advanced Roadmaps, team calendars and analytics for confluence, insight asset management, and insight discovery in Jira Service Management DC.
Con: Atlassian has updated their pricing to reflect these changes. And you are still getting fewer “bells and whistles” than Jira Cloud users (as we can see from the feature comparison).
Pro: You are technically safer as the system is supported on your hardware by your specialists. Any and all Jira server issues, poor updates, and downtime are simply not your concern.
Con: Atlassian offers excellent security options: data encryption in transit and rest, to mobile app management, to audit offerings and API token controls. In their absence, your team company has to dedicate additional resources to security.
Pro: Additional benefits from Atlassian, such as the Priority Support bundle (all DC subscriptions have this option), and the Data center loyalty discount (more on that in the pricing section.)
Talking about pricing of SaaS products is always a challenge as there are always multiple tiers and various pay-as-you go features. Barebones Jira Cloud, for instance, is completely free of charge, yet there are a series of serious limitations.
Standard Jira Cloud will cost you an average of $7.50 per user per month while premium cranks that price up to $14.50. The Enterprise plan is billed annually and the cost is determined on a case-by-case basis. You can see the full comparison of Jira Cloud plans here. And you can use this online calculator to learn the cost of ownership in your particular case.
50 Users | Standard (Monthly/Annually) | Premium (Monthly/Annually) |
Jira Software | $387.50 / $3,900 | $762.50 / $7,650 |
Jira Work Management | $250 / $2,500 | |
Jira Service Management | $866.25 / $8,650 | $2,138.25 / $21,500 |
Confluence | $287.50 / $2,900 | $550 / $5,500 |
100 Users | Standard (Monthly/Annually) | Premium (Monthly/Annually) |
Jira Software | $775 / $7,750 | $1,525 / $15,250 |
Jira Work Management | $500 / $5,000 | |
Jira Service Management | $1,653.75 / $16,550 | $4,185.75 / $42,000 |
Confluence | $575 / $5,750 | $1,100 / $11,000 |
500 Users | Standard (Monthly/Annually) | Premium (Monthly/Annually) |
Jira Software | $3,140 / $31,500 | $5,107.50 / $51,000 |
Jira Work Management | $1,850 / $18,500 | |
Jira Service Management | $4,541.25 / $45,400 | $11,693.25 / $117,000 |
Confluence | $2,060 / $20,500 | $3,780 / $37,800 |
Please note that these prices were calculated without any apps included.
Jira Data Center starts at $42,000 per year and the plan includes up to 500 users. If you are a new client and are not eligible for any discounts*, here’s a chart that should give you an idea as to the cost of ownership of Jira DC. You can find more information regarding your specific case here.
Users | Commercial Annual Plan | Academic Annual Plan |
1-500 | USD 42,000 | USD 21,000 |
501-1000 | USD 72,000 | USD 36,000 |
1001-2000 | USD 120,000 | USD 60,000 |
Confluence for Data Center | ||
1-500 | USD 27,000 | USD 13,500 |
501-1000 | USD 48,000 | USD 24,000 |
1001-2000 | USD 84,000 | USD 42,000 |
Bitbucket for Data Center | ||
1-25 | USD 2,300 | USD 1,150 |
26-50 | USD 4,200 | USD 2,100 |
51-100 | USD 7,600 | USD 3,800 |
Jira Service Management for Data Center | ||
1-50 | USD 17,200 | USD 8,600 |
51-100 | USD 28,600 | USD 14,300 |
101-250 | USD 51,500 | USD 25,750 |
*Discounts:
Originally, there were several migration methods: Jira Cloud Migration Assistant, Jira Cloud Site Import, and there was an option to migrate via CSV export (though Jira actively discourages you from using this method). However, Jira’s team has focused their efforts on improving the Migration Assistant and have chosen to discontinue Cloud Site Import support.
Thanks to the broadened functionality of the assistant, it is now the only go-to method for migration with just one exception. If you are migrating over 1000 users and you absolutely need to migrate advanced roadmaps – you’ll need to rely on Site Import. At least for now, as Jira is actively working on implementing this feature in their assistant.
Here’s a quick comparison of the options and their limitations.
Features | Limitations | |
Cloud Migration Assistant | App migration Existing data on a Cloud Site is not overwritten You choose the projects, users, and groups you want to migrate Jira Service Management customer account migration Better UI to guide you through the migration Potential migration errors are displayed in advance Migration can be done in phases reducing the downtime Pre- and post-migration reports | You must be on a supported self-managed version of Jira |
Site Export | Can migrate Advanced Roadmaps | App data is not migrated Migration overrides existing data on the Cloud site Separate user importUsers from external directories are not migrated No choice of data you want or don’t want migrated There’s a need to split attachments into up to 5GB chunks Higher risks of downtime due to the “all or nothing” approach You must be on a supported self-managed version of Jira |
Pro tip: If you have a large base of users (above 2000), migrate them before you migrate projects and spaces. This way, you will not disrupt the workflow as users are still working on Server and the latter migration of data will take less time.
Now that we have settled on one particular offering based on available pricing models as well as the pros and the cons that matter the most to your organization, let’s talk about the “how”.
How does one migrate from Jira Server to Jira Cloud?
Jira’s Cloud Migration Assistant is a handy tool. It will automatically review your data for common errors. But it is incapable of doing all of the work for you. That’s why we – and Atlassian for that matter – recommend creating a pre-migration checklist.
Smart Checklist will help you craft an actionable, context-rich checklist directly inside a Jira ticket. This way, none of the tasks will be missed, lost, or abandoned.
Below is an example of how your migration checklist will look like in Jira.
Feel free to copy the code and paste it into your Smart Checklist editor and you’ll have the checklist at the ready.
# Create a user migration plan #must
> Please keep in mind that Jira Cloud Migration Assistant migrates all users and groups as well as users and groups related to selected projects
- Sync your user base
- Verify synchronization
- External users sync verification
- Active external directory verification
## Check your Jira Server version #must
- Verify via user interface or Support Zip Product Version Verification
> Jira Migration Assistant will not work unless Jira is running on a supported version
## Fix any duplicate email addresses #must
- Verify using SQL
> Duplicate email addresses are not supported by Jira Cloud and therefore can't be migrated with the Jira Cloud Migration Assistant. To avoid errors, you should find and fix any duplicate email addresses before migration. If user information is managed in an LDAP Server, you will need to update emails there and sync with Jira before the migration. If user information is managed locally, you can fix them through the Jira Server or Data Center user interface.
## Make sure you have the necessary permissions #must
- System Admin global permissions on the Server instance
- Exists in the target Cloud site
- Site Administrator Permission in the cloud
## Check for conflicts with group names #must
- Make sure that the groups in your Cloud Site don't have the same names as groups in Server
> Unless you are actively trying to merge them
- Delete or update add-on users so not to cause migration issues
- Verify via SQL
## Update firewall allowance rules #must
- None of the domains should be blocked by firewall or proxy
## Find a way to migrate apps #must
- Contact app vendors
## Check public access settings #must
- Projects
- Filters
- Filters
- Boards
- Dashboards
## Review server setup #mst
- at least 4gb Heap Allocation
- Open Files limit review
- Verify via support zip
## Check Server timezone #must for merging Cloud sites
- Switch to UTC is using any other timezone
> Add a system flag to the Jira Server instance -Duser.timezone=UTC as outlined in this article about updating documentation to include timezone details.
## Fix any duplicate shared configuration
## Storage limits
## Prepare the server instance
- Check data status
- All fields have value and are not null
-Any archived projects you wish to migrate are activated
## Prepare your cloud site
- Same Jira products enabled
- Same language
- User migration strategy
## Data backup
- Backup Jira Server site
- Backup Cloud site
## Run a test migration
- Done
## Notify Jira support
- Get in touch with Jira migration support
On the one hand, having all of your Jira products on a server may seem like a backup in and of itself. On the other hand, there are data migration best practices we should follow even if it’s just a precaution. No one has ever felt sorry for their data being too safe.
In addition, there are certain types of migration errors that can be resolved much faster with having a backup at hand.
Jira Cloud Migration Assistant is a free add-on Atlassian recommends using when migrating to the cloud. It accesses and evaluates your apps and helps migrate multiple projects.
Overall, the migration assistant offers a more stable and reliable migration experience. It automatically checks for certain errors. It makes sure all users have unique and valid emails, and makes sure that none of the project names and keys conflict with one another.
This is a step-by-step guide for importing your Jira Server data backup file into Jira Cloud.
Before we can proceed with the migration process, please make sure you meet the following prerequisites:
Once you are certain you are ready to migrate your Jira Server to Jira Data Center, you can proceed with an installation that’s much simpler than one would expect.
That’s it. You are all set. Well, unless your organization has specific needs such as continuous uptime, performance under heavy loads, and scalability, in which case you will need to set up a server cluster. You can find out more about setting up server clusters in this guide.
1623406631
Through this article, I will be discussing the concept of **_Abstraction _**and how we can achieve it partially or completely in java programming. I have already covered other important pillars of OOPs that are Inheritance, Polymorphism, Encapsulation, and Compositions. After reading this article you would be in a position to answer this question in your next interview.
It is one of the pillars of OOP like Inheritance, Encapsulation, and Polymorphism.The basic English meaning of Abstraction is the quality of dealing with ideas rather than events. Did you get it? I know it’s hard to grasp.Let me put its definition in another way **basically it deals with hiding the internal details and showing the essential things to the end-user.**A real-life example of abstraction can be using an electric circuit board. We use the buttons to turn on and off the electrical devices through the circuit board. We know a lot of things happen inside the board. Here we are using the functionality provided and we aren’t interested in the actual working of the circuit board.Now let’s relate this example with classes and interface. The surface of the electric board is an Interface and the actual implementation of the electric circuit board is a class.
#java-programming #software-engineering #abstraction #software-development #java #why you must know abstraction?
1590188020
#oop #abstract #abstract method #abstract class #what is abstract
1624219200
FBI breached Bitcoin, here’s what you MUST know
The FBI recovered 2.3 million dollars worth of stolen Bitcoin that was paid by Colonial Pipeline as a a ransom to a group called Darkside. This created a bunch of rumors from hackers trying to break Bitcoin to now the US government could basically steal your private keys, and therefore your money which all contributed to the downfall of the price. Remember your private key is everything, if you show your private key to someone, it’s game over, they can take your Bitcoin from your wallet and steal it forever.
WHAT THIS WAS NOT:
This was not a breach of Bitcoin’s code, Bitcoin was not breached, quantum computing did not break the blockchain and no the US government doesn’t have some automatic software to steal your Bitcoin. So let’s take a look at what actually happened because this didn’t happen this week, the ransom happened last month and we’re just seeing the resolution of that this week and there’s a lot of confusion about it.
WHO IS DARKSIDE?
Darkside is an RaaS which stands for ransomware as a service, and you can think about them like a work for hire software service where you call them up, you present them your sketchy illegal idea. Darkside is the ransomware developer which creates the software used to breach into a company, where they then take 15% of the cut. Then there is the “affiliate” who is the person or group of people taking 85% of the ransom. It’s a criminal organization that creates software for people that are both willing and have access to the ability to install malicious software.
WHO IS COLONIAL PIPELINE?
Colonial Pipeline is a company which made roughly $421 million in 2020, they deal with transporting jet fuel, and gasoline. On May 7th, Darkside’s affiliate left a ransom note asking Colonial Pipeline and the CEO to pay 75 Bitcoins. The CEO had to make a choice - pay the ransom or ignore it and potentially face way worse consequences. They decided to pay up.
GAS PRICES:
Colonial Pipeline made the decision to shut down over 5,500 miles worth of pipeline which caused a huge shortage in their gasoline supply, which is also why if you’re living in the east Coast you may have seen gas prices go up so much these last few weeks. Colonial Pipeline supplies something like 45% of the fuel to the east coast but, here’s where the confusion comes in with Bitcoin.
WHAT HAPPENED AND HOW?
The FBI seized 69 Bitcoins from Darkside’s affiliate: (https://www.justice.gov/opa/pr/depart…)
How were the FBI able to do this? More than likely because the affiliate of Darkside was not as sophisticated and careful in their approach to hiding the private key. They stored it on a private server which was able to be tracked and exposed by the government through a series of transactions.
MY THOUGHTS:
I don’t think this was a conspiracy to undermine Bitcoin. Sometimes we over estimate the intelligence and level of care criminals will take. The truth is our government is becoming more efficient at tracking Bitcoin transactions - aka “following the money” which is why Blockchain is awesome - it’s transparent and pseudo anonymous. Darkside usually targets corporations with billions of dollars.
📺 The video in this post was made by Andrei Jikh
The origin of the article: https://www.youtube.com/watch?v=hhC5_fChI-0
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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#bitcoin #blockchain #bitcoin breach #bitcoin breach - what you must know #fbi
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Python is the most widespread and popular programming language in data science, software development, and related fields. The simplicity of codes in Python, which helps learners avoid any confusion, is the key to this popularity. Python has constantly been developing, and it keeps getting updated for more ease in using. With 137,000 plus libraries and tools, Python has always provided its users with the solutions to problems of any complexity level. This reason makes Python the ideal language for Data Science operations. This article focuses on some of the essential and must-learn libraries in Python used heavily by Data Scientists. I have tried to cover different libraries used in various stages of a data science cycle, such as Data Mining, processing and modeling, Data Visualization.
Learn Data Science in Python from here!
#data-visualization #data #data-science #python-programming #python #must-know data science libraries in python