This 2020 we are living a time of change. In fact, it would not be that crazy to guess that this pandemic will be a turning point, especially due to the obvious fact that such a pandemic has unfortunately turned out to be something with connotations on a global and historical scale.
According to the Stackoverflow survey of 2019, Python programming language garnered 73.1% approval among developers. It ranks second to Rust and continues to dominate in Data Science and Machine Learning(ML). Python is a developers’ favorite. It is a high-level language known for its robustness and its core philosophy―simplicity over complexity. However, Python application’s performance is another story. Just like any other application, it has its share of performance issues.
For us, IT is a place where people genuinely try to “walk the walk.” Many in this industry are perceptive and curious individuals, constantly on the pursuit for better insights and more efficiency. You cannot survive long in an IT department if you hide behind unmet promises or have an aversion for detail. Facts outweigh opinions, and theories are to be questioned and proven true.
Pop quiz: An employee just submitted a ticket to IT about recurring application crashes. When IT finally gets back to them, what is the first thing they ask? Answer: “When did you last update your device?” If this rings true, there is a reason. Outdated devices and applications can quickly detract from digital employee experience and IT notoriously struggles to detect and resolve these issues at scale.
The world of work is evolving. Rapidly. Today’s employee believes in an omnipresent workplace, just like her everyday companions – Uber, Amazon, Netflix and Google. Personalized services and experiences are her new normal. Organizations are reimagining their workplaces to give employees the best personalized experience. It’s the new gold to keep employees delighted. Enter Workplace Personas. While most organizations agree with the importance of personas, not many truly get it.
Handover procedures in operations and maintenance are a key element of business continuity. As work in this field is usually organized in shifts, it is essential to keep track of any critical incidents, machine breakdowns, job ownership, completion, issues that are still open or unresolved and other related items. Such knowledge has a significant impact on a timely or even proactive response, for instance if issues re-surface.
In a recent post by the Splunk Threat Research team, we addressed permanent and temporary token/credential abuse in AWS and how to mitigate credential exposure. With 94% of Enterprises using a cloud service, and some using at least five different cloud platforms, it’s imperative to stay ahead of threats across multicloud environments. Let’s now turn our attention to Google Cloud Platform (GCP) and how to detect and mitigate OAuth Token Abuse.
Sharing information about the health and performance of an application is a critical part of any team’s daily workflow. That’s why we’re excited to announce the Datadog Slack App, which simplifies crucial communication tasks by deepening the integration between Datadog and Slack.
Do you want to know how to measure the full impact of third-party scripts and page contents on your website? In this article, we step you through the process as we analyze the performance impact third-party elements have on a popular content marketing site. We go beyond looking at how a single third-party supplier affects page performance and show you how to measure how the different types of third-party content affect page performance.
As time goes by, I’m looking for solutions that require as little maintenance as possible. One of those is deploying our client web app and our homepage directly on the CDN edge, with GitHub Actions. Not only we don’t need a server to host the app, but the deployment script is also serverless and maintenance-less. This allows me to focus on important tasks, knowing that deployment and serving of the app is always blazing fast.
