Teams celebrate a 10% improvement in efficiency when they should be looking for a 10x improvement in efficiency. Identify key moments in your product lifecycle when it makes sense to step back and identify the substantial changes that can supercharge productivity. My company builds connectors into a huge variety of data sources. At one time, we were writing 5,000 lines of code to create a single connector, which was not sustainable. Now, a single engineer can build a connector in a week with 100 lines of code. We achieved this by designing a new development framework that allows us to exploit commonalities across the connectors we build and by greatly reducing dependencies among engineers. As soon as one engineer needs input from six other engineers to complete a task, productivity takes a massive hit. Here's a thought experiment you can run to help find your own 10x improvement: Imagine your workload scales 10x overnight, and you absolutely must meet this increase without hiring more engineers or working additional hours. How do you do it? An out-of-the-box thought exercise like this can help you radically improve your approach.
While replicability isn’t as important as delivery in a modern environment, where software is often unique to the organisation, it is important to be able to prove effectiveness. At Catapult, we use an upskilling system that we call the Lighthouse Model; whereby we identify a team from the ground-up that can act as a model for the rest of the business and focus first on developing them as a group. By demonstrating the effectiveness of agile as a foundation on which to build software, a Lighthouse team creates a fertile environment, which removes blocks and gathers data to help develop buy-in across the board. All this works. In 2018, the Standish Group established that ‘Agile projects’ are twice as likely to succeed than waterfall projects. In the same study the company notes that 28 per cent of Waterfall projects fail, while only eleven per cent of agile projects meet the same fate. In this context, the metrics of success went beyond whether the project was on time and on budget and considered its outcomes and impact. They looked beyond the delivery against the plan to include the value delivered and customer satisfaction. In essence, they looked for the real meaning of success.
The first thing you might assume is that reliability is synonymous with availability. After all, if a service is up 99% of the time, that means a user can rely on it 99% of the time, right? Obviously, this isn’t the whole story, but it’s worth exploring why. For starters, these simple system health metrics aren’t really so “simple.” Starting with just the Four Golden Signals, you’ll end up with the latency, resource saturation, error rate, and uptime of all your different services. For a complex product, this adds up to a whole lot of numbers. How do you combine and weigh all these metrics? Which are the important ones to watch and prioritize? Judging things like errors and availability can be difficult too. Gray failure, or when a service isn’t working completely but hasn’t totally failed either, can be hard to capture with quantitative metrics. When do you decide when a service is “available enough?” What about a situation where your service performs exactly as intended, but doesn’t align with your customers’ expectations? How do you capture these in your picture of system health? Clearly, there needs to be another layer to this definition of reliability!
I suspect one of the greatest lies ever told in web application development is that if you use an ORM you can avoid writing and understanding SQL, “it’s just an implementation detail”. That might be true at first, but once you go beyond the basics that falls away quickly. ... It’s much better to let the database do this kind of filtering. After all, it’s what all of the clever folk who work on databases spend a lot of time and effort optimising. For most ORMs you have the option of writing analogues to SQL which can get you quite a long way. For example, JPA has JPQL and Hibernate has HQL. These let you build abstracted queries that should work on all databases that your ORM supports. The implication of this is that your team needs to embrace SQL and understand how to use it, rather than avoiding it by using application code instead. To dispel a common source of anxiety on this: you don’t need to be a SQL guru to get started and become familiar with what you will need for the vast majority of your implementation requirements. There are also excellent resources and books available, I will link some below.
An SCP enlists employees from all different disciplines across a company (HR, marketing, finance, etc.) for focused cybersecurity training and guidance. These security champions then become the contact point and voice for cybersecurity within their various departments or offices alongside their main role. They help to advise on, embed and reinforce good security practices with their colleagues. This makes security advice more relatable and accessible, avoiding the “us versus them” attitude that can sometimes exist between employees and traditional enterprise security teams. It’s easier for a colleague to explain a security risk or issue to a co-worker than it is for a security pro whom the co-worker has never met. The security champion’s role is a little like that of a department’s fire marshal. In the same way that the marshal doesn’t need to be a specialist in firefighting, the security champion doesn’t need to be an IT or infosec pro; they just need to know how their colleagues work, what the security risks are within their department or team and the common-sense steps to take to mitigate those risks.
Carolina Klint, risk management leader for continental Europe for insurance broker Marsh, and one of the contributors to the report said that insurance companies were now coming out and saying that “cyber risk is systemic and uninsurable”. That means, in future, companies may not be able to find cover for risks such as ransomware, malware or hacking attacks. “It’s up to the insurance industry and to the capital markets whether or not they find the risk palatable,” she said in an interview with Computer Weekly, “but that is the direction it is moving in.” In recent days, cyber attacks have disrupted the international delivery services of the Royal Mail and infected IT systems at the Guardian newspaper with ransomware. The Global risks report rates cyber warfare and economic conflict as more serious threats to stability than the risks of military confrontation. “There is a real risk that cyber attacks may be targeted at critical infrastructure, health care and public institutions,” said Klint. “And that would have dramatic ramifications in terms of stability.”
Software engineers possess various technical skills, including coding and software development. They also understand the complexities involved in developing a secure application. This makes them well-suited for different types of cybersecurity tasks. ... They should also be familiar with various cyber threats, such as malware and phishing. Additionally, since software development is constantly evolving, software engineers should be prepared to keep up with the latest trends to remain competitive. ... Network architects possess a strong knowledge of networking technologies and are proficient in setting up secure networks. While not all security roles require a deep technical understanding, network architects are well-suited to design secure networks and implement protection measures. They can also review existing systems for vulnerabilities and recommend solutions to mitigate risks. ... They should also be familiar with emerging technologies and techniques related to cybersecurity, such as artificial intelligence (AI) and machine learning (ML). Another important skill for network architects is identifying and differentiating between legitimate and malicious traffic signals.
In almost every scientific field, the role of the data scientist is actually played by a physicist, chemist, psychologist, mathematician (for numerical experiments), or some other domain expert. They have a deep understanding of their field and pick up the necessary techniques to analyze their data. They have a set of questions they want to ask and know how to interpret the results of their models and experiments. With the increasing popularity of industrial data science and the rise of dedicated data science educational programs, a typical data scientist's training lacks domain-specific training. ... There are two opposing approaches. One is to know which tool to use, pick up a pre-implemented version online, and apply it to a problem. This is a very reasonable approach for most practical problems. The other is to deeply understand how and why something works. This approach takes much more time but offers the advantage of modifying or extending the tool to make it more powerful.
The first thing to take into account when implementing ZeroOps for your business: You must consider everything that isn’t directly driving value. Who should be doing those tasks? You want your core staff to be focused on the business, so it’s worth considering a managed service provider as a partner. This can help provide your team with the skills and support they need, while allowing them to focus on their core competencies. The right tools can help your team be more productive than you ever imagined, without hiring new full-time employees. ... More agile, with less pressure and responsibility to handle “the little things” that we know aren’t so little. Imagine how your team members could shine when supported by experts to assist them so they can focus on providing value. Imagine being able to deliver projects much more quickly so delivery expectations actually aligned with what was realistic. ... Managed services can help make your team more productive and capitalize on their talent. When you struggle with a problem, it’s likely that your managed service provider has already solved it for others so you don’t have to reinvent the wheel.
One real value for a dark web scan is awareness. You should be able to obtain an initial dark web scan free of charge – without paying an ongoing monthly monitoring fee, which we certainly don’t recommend. The initial report will help identify if you have law firm employees that tend to reuse the same password across multiple sites. It may even identify sites you were not aware of so that you can immediately change the password. Use the dark web scan to educate employees at your next cybersecurity awareness training session. If you’re not teaching your employees about cybersecurity, at least annually, you are missing a very significant part of cyber resilience! A human element is involved in data breaches 82% of the time. Take control of your data and don’t hand it over to a monitoring service. You should be using a password manager and a unique password for each website or application you use. Put a freeze on your credit file at the three major credit bureaus. Freezing your credit file is free.
Quote for the day:
"The test we must set for ourselves is not to march alone but to march in such a way that others will wish to join us." -- Hubert Humphrey