AIOps (artificial intelligence in IT operations) in monitoring refers to the convergence of artificial intelligence, machine learning, and data analytics to make IT monitoring a responsive, intelligent, and agile business function. AIOps is not an alternative to DevOps but a great partner to it that provides intelligent insights when integrated with every stage of the cycle.
Digital transformation has been foundational to any forward-looking business and organizational strategy for many years, but never more so than today. In the digital era, centering an innovative approach to technology at the heart of your business is essential to credibility, impact, growth and efficiency. However, ensuring readiness to adapt to future market, customer or employee needs demands continuous effort and re-appraisal.
Small confession: we currently use the term 'post-mortem' in incident.io despite preferring the term 'incident debrief'. Unless you have particularly serious incidents, the link to death here really isn’t helping anyone. However, we're optimising for familiarity, so we're sticking to the term 'post-mortem' here. Ask any engineer and they’ll tell you that a post-mortem is a positive thing (despite the scary name).
After a mortgage payment, energy costs are typically the largest household expense. In my case it was an easy decision to install solar panels, but I wanted to perform in-depth analyses with historical data. Deploying monitoring sensors was straightforward; collecting and processing the raw data became the main challenge. Telegraf and InfluxDB are ideal choices for managing time series data. Although I had no prior experience, a Docker instance of Telegraf was onboarded in no time.
As more companies adopt SaaS services over on-premise delivery models, there is a natural concern around data security and platform availability. Words on a vendor’s website can provide insights to prospective customers on the process and policies that companies have in place to alleviate these concerns. However, the old adage of “actions speak louder than words” does apply. Trust in a website’s words only goes so far.
We all know that cloud and SaaS adoption continues to grow rapidly, often outpacing budgets. In fact, spending on IaaS and SaaS exceeded budgets in more than 40% of organizations in 2021. As a result, network traffic is now spending much more time on the internet than in our own data centers. The internet has become the new enterprise network.
Zero trust is a security model to help secure IT systems and environments. The core principle of this model is to never trust and always verify. It means never trusting devices by default, even those connected to a managed network or previously verified devices. Modern enterprise environments include networks consisting of numerous interconnected segments, services, and infrastructure, with connections to and from remote cloud environments, mobile devices, and Internet of Things (IoT) devices.
If you’re using Solr, for sure there are times when you change the schema and need to reindex. Quite often the source of truth is a database, so you can use streaming expressions via the JDBC source to reindex. But sometimes that’s not possible or adds too much load to the DB. So how can we use Solr itself as a source?
Waste is never a good thing. And rumblings of an economic downturn, alongside dire warnings of climate change, are making it increasingly necessary to address waste. As a society, we need to reduce consumption, data included. First, we all must acknowledge the high cost of data. Despite the prevailing opinion of the 2010s, data isn’t free. There’s a monetary and carbon cost to keeping data alive.
Now that the world has embraced the long-term shift to the Everywhere Workplace, what do workers really think about it? That’s what we sought to find out with an ambitious survey that led to an eye-opening rendition of our annual Everywhere Workplace report. It also led to a big award.
