Operations | Monitoring | ITSM | DevOps | Cloud

Accurate, fair budgets make everyone in the company happy. Engineers love when they can build products that make the company money, executives enjoy seeing nice, wide margins, and finance departments celebrate when everything goes according to plan. But keeping the budget for cloud computing reasonable can seem like a lofty goal when your company’s cloud spending seems to change with the direction of the wind.

G2 reports that nearly 70% of IT professionals state that IT environments have increased in complexity compared to just two years ago. More complex IT environments suggest the need for increased monitoring and management to ensure that all components efficiently work together. When you add more applications and software to IT management, it can complicate the management process if solutions don’t integrate or there isn’t structure with how the applications work together.

You are using Qovery, and you love the product, but what about saving some money on your cloud bills on top? Today, we are making your dreams come true with a brand new partnership with Usage AI, and today, I will explain everything you need to know about it.

Since Russia’s invasion of Ukraine on February 24, 2022, denial-of-service (DoS) attacks impacting availability have been rising. The attacks aren’t only affecting Russia and Ukraine either. Public and private organizations in multiple industries have been impacted, and several nations—including the U.S. and U.K.—have issued warnings about cyberthreats from Russia.

Incident management is easily one of the most annoying things anyone has to ever deal with. There will always be only a handful of people who would ever want to walk into the building on fire to mitigate. That’s the same with most engineering teams. Only a handful are willing to get in, find the root cause, and mitigate the incident.

Heroku is a cloud provider well known for its simplicity and its support out of the box for multiple programming languages. When thinking about consuming logs from applications hosted in Heroku, Grafana Loki is a great choice. But in the past, shipping logs from Heroku to any Loki instance required ad-hoc scripts to fiddle with Heroku’s logs format and send them. This can be a time-consuming experience.

If you’ve ever had a website or service go down as you were using it, then you’ll understand the irritation of a generic error message and a plea to “Be patient!” (if you’re lucky). It’s almost like they know they’re not telling you the full story. The companies that are on top of their outage game will have a prepared link or redirect to their Status Page (or at least, have one prominently displayed on their pages and social media) for times like these.

The rise of the containerized software environment has left archaic, monolithic application structures behind. Cloud-native applications running via a range of containers, or individual, self-contained software packages, are now the norm. Platforms and tools like Kubernetes and Docker allow developers to create apps that work irrespective of device or operating systems, vastly reducing time to market and increasing potential user base numbers.

We are living in an era where everything depends upon data, any application you are using or that you are creating is going to either consume or create data. LogicMonitor REST API makes it easy for customers who prefer to use APIs to access features without performing activities manually via a UI. LM API allows end-users to perform several activities with added security and reduced efforts. As of today, we are offering v1, and v2, and now have v3 as base versions of API & SDK going further.

With distributed IT Operations becoming the norm, most enterprise teams struggle with communication and collaboration within and across the organization. Without the proper tools, staying on top of incidents can be challenging, quickly resulting in outages taking longer to resolve. The overall effect: increase in downtime-related costs and decrease in performance and availability of services making mean time to resolve (MTTR) worse.