Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring solutions are a vital component in managing an application’s environment. From the systems layer all the way up to the end user’s connection to the app, you want to find out how the platform is performing. Indicators like CPU, memory, the number of connections, and overall health help teams make informed decisions for guaranteeing uptime. Teams monitor metrics (short-term information) and logs (long-term information) mainly from a reactive perspective.

Access to any airport is tightly governed. When you’re one of Europe’s busiest airports and a high-profile piece of national infrastructure, you cannot have unauthorized people wandering about. At Copenhagen Airport, we have more than 20,000 people cleared to access the airport. These might be security staff, baggage handlers, IT service providers, catering teams, and others. As the airport has grown, so has the number of on-site workers.

Building successful machine learning (ML) production systems requires a specialized re-interpretation of the traditional DevOps culture and methodologies. MLOps, short for machine learning operations, is a relatively new engineering discipline and a set of practices meant to improve the collaboration and communication between the various roles and teams that together manage the end-to-end lifecycle of machine learning projects.

What do Google’s DevOps Research and Assessment (DORA) and Rollbar have to do with each other? DORA identified four key metrics to measure DevOps performance and identified four levels of DevOps performance from Low to Elite. One way for a team to become an Elite DevOps performer is by focusing on Continuous Code Improvement.

As everything good in life, serverless also comes with its downsides. One of them is the infamous “cold start”. In this article, we’ll cover what they are, what influences serverless startup latency, and how to mitigate its impacts in our applications.

Globally the impact of AI is increasingly growing year on year in every industry sector. Opening new scopes in construction & architecture sector, the global AImarket is estimated to grow at a CAGR of 29.4% (around) from 2019 to 2026 and is expected to reach around US$ 2.1 Billion by 2026.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore why organizations should implement Zero Trust in 2021. In 2010, John Kindervag introduced the concept of “Zero Trust” which has become a touchstone for cyber resilience and persistent security. Zero Trust is not a security product, architecture, or technology.

The onset of ServiceNow has relieved the IT Services workforce. With CloudFabrix RDA added to it, we made it even better. Let’s face it that many IT Service transformation implementations take longer because of a lack of automation around migration and production. The efficiency of ITSM is further compromised due to the absence of data automation and enrichment. ServiceNow with Robotic Data Automation stirs a positive impact on three critical areas of data operations ITSM teams.

These are interesting – and challenging – times to be a Managed Service Provider. When it first published its Managed Services Market Size Forecast, Mordor Intelligence valued the market at US$152 billion in 2020, and predicted it to reach US$274 billion by 2026, a compound annual growth rate of 11.2%. Over a year later, following a pandemic which has changed the way most of us work and which will probably see permanent changes going forward, Mordor is sticking by its prediction.