CockroachDB 22.1 Facilitates Data-Intensive Applications

CockroachDB 22.1 Facilitates Data-Intensive Applications


CockroachDB 22.1 helps you to build better with less effort, at every stage of your application lifecycle. CockroachDB was made to enable use the same database from start to scale, without rebuilding an app and without crippling, complex operations.

CockroachDB 22.1 enables engineering teams to:

  • Prototype faster.

Developers can stand up CockroachDB and integrate it with their stack quicker than ever with:
– A new command-line tool (CLI) so users can manage and scale their cluster with code
– Integrations with the popular tools Prisma and Google Pub/Sub
– Support for time-to-live (TTL), which lets developers set a lifespan for row-level data
– Improvements to the developer-first offering, CockroachDB Serverless

  • Optimize more efficiently & avoid toil.

CockroachDB already eliminates common database pains like downtime for maintenance, frequent patches, or black boxes around performance. With CockroachDB 22.1, users can now:
– Automate deployment and scaling with a new administrative API
– Optimize performance more easily with index recommendations and insights into transaction contention
– Monitor their clusters with a new integration with Datadog

  • Scale better to meet peak demand, everywhere.

CockroachDB already automates and simplifies scale. This release adds updates including:
– Quality of Service (QoS) to let users maintain peak performance while handling millions of transactions per second
– A new capability to address data domiciling regulations for multi-regional and multi-national businesses


You can read more about CockroachDB 22.1 here.

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5 Ways AI Is Powering ReCommerce

5 Ways AI Is Powering ReCommerce


Retailers, along with used product resellers, non-profits, thrifters and liquidators, want to capitalize on this thriving reCommerce market to cut the billions of dollars going to waste. AI and machine learning has become the answer. Here are the key ways AI is enabling the reCommerce industry to scale.

  1. Attribute Identification.

    Using AI and machine vision, resellers are able to quickly take what was once a very manual process of identifying and assigning product attributes and automate this identification process. Product characteristics such as color, style and even brand can be quickly assessed, automatically, using simple photographs. This can cut hundreds of hours off product processing when used for large batches of items, such as returns, donations and overstocks.

  2. Product Valuation. 

    Returned, donated and used items typically don’t have designated tags or SKUs that can identify the value or assign a price. Using AI technology, identified attributes can be used to scour data sets across resale markets to properly identify current item value and set a market price. This too takes hours off of the traditionally manual product pricing process and is very effective at optimizing resale revenue.

  3. Marketplace Listing Automation.

    Product marketplaces from Poshmark, threadUP and The RealReal to eBay, OfferUp and Facebook Marketplace all require specific adjustments and characterizations to effectively list on their sites. AI technology and automation is being used to produce fully compliant, SEO optimized listings for each marketplace so that products are showcased effectively, no matter where they are being sold.

  4. Empowering Listing Volume.

    Listing products for resale is a numbers game. And with so much product volume to move, retailers specifically need to optimize their listing abilities to recoup lost profits from returned goods. AI empowers scalability and incredible volume, enabling sellers to move from a 5,000-item turn a month to exponentially increase overnight.

  5. Lowers Labor Costs.

    The cost of human labor has been the number one barrier to increasing reCommerce scale. Through AI and machine vision technology, resellers are closing the labor gap and optimizing profitability without the costs, challenge and difficulty of recruiting workers or shipping product offshore to perform processing. This further reduces costs and enhances rapid growth through product processing scale.

You can read more about Ways AI Is Powering ReCommerce here.

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What are cookies?

What are cookies?


Cookies refer to one or more small pieces of data that identify your computer to a website with a unique code. The cookies are sent by a web server to your device while you’re on that server’s website. Your computer stores that cookie and, when you visit that website again, the server can recognize that the device is the same one as was used previously.

Cookies are generally broken into two groups:

  • Session cookies, which expire immediately after you’re done being online
  • Persistent cookies, which stick with you during many different web sessions

Cookies can be extremely useful. For example, authentication cookies, allow a user who logs into a website to click and view multiple pages on the site without having to re-authenticate each time he or she tries to access another page requiring authentication. Cookies can also allow a site to remember a user’s username without authenticating the user, or other personalization preferences.

Cookies are heavily utilized by marketing firms who can target your interests and buying habits. Cookies are the reason why you might be eyeing a new pair of sandals on one website and then see ads for that same pair of sandals when you’re on other websites. That proves cookies aren’t always great. Privacy issues are one thing to consider. Many sites now use third-party cookies. Many sites, for example, may present banner ads from the same ad provider, and the code from that provider can send and receive cookies to run on all of those sites, enabling it to track your activity across multiple sites. According cybersecurity specialists, it is best to know who is following your activities, and you should review and clean out cookies that may be unwanted.


You can read more about cookies and how to delete them here.

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Operational Technology Security

Operational Technology Security


Operational technology (OT) is the use of hardware and software to monitor and control physical processes, devices, and infrastructure. Operational technology systems are found across a large range of asset-intensive sectors, performing a wide variety of tasks ranging from monitoring critical infrastructure (CI) to controlling robots on a manufacturing floor.  OT is used in a variety of industries including manufacturing, oil and gas, electrical generation and distribution, aviation, maritime, rail, and utilities. 

Operational technology security is defined as, “Practices and technologies used to (a) protect people, assets, and information, (b) monitor and/or control physical devices, processes and events, and (c) initiate state changes to enterprise OT systems.” OT security solutions include a wide range of security technologies from next-generation firewalls (NGFWs) to security information and event management (SIEM) systems to identity access and management, and much more.

Often, IT and OT networks are kept separate, duplicating security efforts and eschewing transparency. Typically, OT networks report to the COO and IT networks report to the CIO, resulting in two network security teams each protecting half of the total network.


You can read more about OT security here.

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RPA Frees Employees’ Time for More Important Work

RPA Frees Employees’ Time for More Important Work


Robotic process automation (RPA) frees human workers to focus on the things they do best and enjoy more, like interacting with customers and collaborating on innovative business projects. 

There are 3 benefits of RPA for employees:

  1. Time savings
    IT Central Station members are fully utilizing RPA so employees can concentrate on more valuable work. For example, Larry H., a systems administrator at a large insurance agency said: “We’ve got robots now taking 10 seconds to do what people were taking four to six minutes to do. It’s a whole department of people that are now free to do other things.”

  2. Happier employees
    IT Central Station members have seen an increase in employee satisfaction thanks to RPA. An RPA developer at a consultancy explained that employees who work alongside the bots are usually a lot happier because they have to juggle fewer tasks. The robots are there to make people feel like people and not like robots, doing the same thing over and over and not enjoying what they’re doing. 

  3. Combating monotony at work
    Doing the same thing over and over every day can be tough on workers. UiPath allows employees to delegate mundane tasks to their personal automations. RPA saves time and allows them to perform more important functions. Some employees benefit because sometimes they get bored with the repetitive jobs they have to do at work. Now, they can use automation and “apply their brains somewhere fruitful”.

You can read more about RPA benefits here.

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