Some things just go better together. Like barbeque and blues, sunsets and beaches, cheese and fine wine — hey, even software and superheroes go better together! That’s why in this blog we are going to look at why IT Operations and Observability just go better together, through a superhero analogy. Enter the Dark Knight himself — Batman! He will represent observability. IT Operations will be represented by Lucius Fox.
Every workday you open your laptop or start your desktop, and you wait. For some, that wait is a mere blip in the day, a few seconds, for others that wait can seem interminable. A few months ago, our engineering team set out with the task of exploring what variables really impact a slow device performance. During the course of their research, the team uncovered answers to very specific questions like: What is the average startup time for a work device? (Hint: it’s less than five minutes).
There’s an old saying that “there’s no such thing as bad publicity.” Unfortunately, this doesn’t ring true when it comes to data breaches and ransomware attacks. High profile security incidents continue to make headlines, and those headlines are impacting bottom lines. In response to these, the US federal government is modernizing its own cybersecurity infrastructure, and more state governments are implementing laws to protect citizens.
The massive proliferation of log data forces teams to manage the costs to process, route, and store it. Teams need access to this data to gain critical insights into their services, but for many organizations this presents a challenge for their budget. Logging can get expensive, fast, which often results in teams making difficult tradeoffs between aggregating enough logging information to be useful and controlling the cost of storing all those logs.
The biggest business story of last year was how suddenly and completely the COVID-19 pandemic changed the ways we work and live. Organizations had to look at how they operate, adjust to a hybrid workforce, and further embrace digital transformation. ServiceNow has been at the forefront of the employee experience awakening. As new challenges emerge, our platform is perfectly suited to respond quickly to market-shifting events so that your workforce can stay productive.
Unsurprisingly, application crashes due to fatal errors can be a major pain point for iOS users. Recent research shows that roughly 20 percent of mobile application uninstalls were due to crashes or other code errors. As a developer, it’s paramount to manage this potential churn by capturing comprehensive crash data in order to track, triage, and debug recurring issues in your iOS apps.
Do you often ask yourself the question - Is there an Office 365 problem today? While you try to find the answer, your customers (end-users) complain because they can't access their business applications. Apart from all this, your boss needs an immediate status update. Trust me. It doesn't feel great to be in that situation. And we know it. Despite Microsoft claiming to provide 99.9% SLA, issues will occur with the Office 365 applications such as Teams, Outlook, OneDrive, Exchange Online, SharePoint, Yammer, etc. Often, the issues aren't even Microsoft's problems but an ISPs or internal network change. There can be lot of reasons (Network, OS, browser, personal device, upgrade errors, Internet, and much more), but which one is it?
It has been argued that automation in the workplace tends to be misunderstood. Analysts are keen to point out that, despite myths to the contrary, automation isn't going to put most people out of work, for instance. Nor is AI going to become a real substitute for actual human intelligence. These are compelling arguments for rethinking the way we think about automation in general. But you can take the points further if you analyze the impact of automation on specific domains, such as cybersecurity. Indeed, automation is perhaps nowhere more misunderstood than in the realm of cybersecurity. To prove the point, here are five common myths about automation's impact on security, and why they're wrong.
