Operations | Monitoring | ITSM | DevOps | Cloud

ManageEngine CloudSpend is a cloud cost management tool that helps you reduce overhead cloud costs using actionable insights. The CloudSpend mobile application enables users to perform actions on the go for their cloud services from their mobile devices. CloudSpend supports AWS and Microsoft Azure cloud services and is planning to launch GCP in the future.

Distributed Tracing, combined with end-to-end monitoring, lets organizations keep track of their business transactions and receive alerts when anomalies happen. End-to-end monitoring benefits business users and functional administrators more than developers and technical administrators. Nowadays, for developing integration solutions, microservice architectures are becoming the norm. A solution based on such an architecture relies on different services that shape a specific solution together.

Google Cloud provides its own set of metrics for monitoring applications, services, and instances. There are a huge number of metrics – more than 1,500 different ones just for GCP monitoring! While this is great, dealing with such a number can also be overwhelming. Filtering, pulling, exploring, and storing the metrics that you really need can be an enormously time-consuming task, and a big challenge.

So far in this series, I’ve outlined how a scaling enterprise’s accumulation of data (data gravity) struggles against three consistent forces: cost, performance, and reliability. This struggle changes an enterprise; this is “digital transformation,” affecting everything from how business domains are represented in IT to software architectures, development and deployment models, and even personnel structures.

In different techniques, entities and relationships remain central. However, their nature and roles are reinterpreted according to the business goals. Data modeling is the process of defining and representing the data elements in a system in order to communicate connections between data points and structures. In his impactful book “Designing Data-Intensive Applications,” Martin Kleppmann describes data modeling as the most critical step in developing any information system.

Last Saturday, our API went down. Not even a funny error message or slightly slower responses either, it just completely vanished off the internet for 18 minutes. I'm not normally one to point fingers at my hosting provider when things go wrong (since ultimately, I chose to use them, so it's my problem to fix), but when fly.io publicly posts on their forums about their reliability issues, I may as well link to them.

Online identity theft has become a significant concern for everyone, especially as we rely more on the internet for various activities such as shopping, banking, and socializing. Identity theft occurs when someone steals personal information, such as name, address, social security number, or credit card details, to commit fraudulent activities. The consequences of identity theft can be severe: $15.1 billion in monetary loss in a given year alone!

To speed up startup and reload times of Icinga 2, we have already put a lot of effort into improving the configuration load performance and still continue to do so for the next major release. In this blog post, I will share the story of one particular issue we found, how we addressed it and what impact this has.