Operations | Monitoring | ITSM | DevOps | Cloud

Observability is being built by engineers for engineers. In reality, o11y is for all.

From its humble beginnings, Kubernetes’ growth story continues to be a testament to the power of open-source collaboration, and its current 1.28 second release is certainly no exception. It’s not just a product of ingenious coding but also the sweat and night oil of a global community – from seasoned industry stalwarts to students just making their debut in the open-source world.

IT monitoring tools are often complex to license and their licensing models are not always cost-effective. Today, I’ll cover some of the licensing models you may encounter as you evaluate IT monitoring tools. I will also highlight how eG Enterprise licensing makes it a cost-effective, affordable and flexible choice for our customers using our monitoring and observability platform.

The TensorFlow framework, developed by Google, is one of the most important platforms for creating deep neural network research and for training machine learning algorithms. Generally, it runs on the server side using powerful GPUs, consuming power and a lot of memory.

In the ever-evolving landscape of digital performance monitoring and observability, Apica has proven once again that it stands at the forefront of innovation. The recent recognition of Apica’s exceptional contributions comes in the form of the prestigious Silver Stevie Award in the Product & Service Category. The winners were announced in the 20th International Business Awards on August 14, 2023. We are elated to win the Silver Stevie Award in the category of (IoT) Analytics Solutions.

By the end of this AWS Lambda optimization article, you will have a workflow of continuously monitoring and improving your Lambda functions and getting alerts on failures. Serverless has been the MVP for the last couple of years and I’m betting it’s going to play a bigger role next year in backend development. AWS Lambda is the most used and mature product in the Serverless space today and is also at the core of Dashbird.

“When you peel back business issues, more times than not, you will find that the root cause is directly tied to data problems,” says Matthew Minetola, CIO at Elastic®. In today's world, all companies, new and old, are awash in data from multiple sources — stored in multiple systems, versions, and formats — and it’s getting worse all the time.

As modern IT systems grow more elaborate, encompassing hardware and software across hybrid environments, the prospect of managing these systems often grows beyond the capacity an IT team can handle. Automation is one great way to help. But it's important to know that not all automation is the same — chatbots are probably not the solution your team is looking for to handle these incredibly complex systems.

Amid a big data boom, more and more information is being generated from various sources at staggering rates. But without the proper metrics for your data, businesses with large quantities of information may find it challenging to effectively and grow in competitive markets. For example, high-quality data lets you make informed decisions that are based on derived insights, enhance customer experiences, and drive sustainable growth.

The complexity of microservice architectures can make it hard to determine where an application’s dependencies begin and end and who manages which ones. This can pose a variety of challenges both in the course of day-to-day operations and during incidents. Lacking a clear picture of the ownership and interplay of your services can impede accountability and cause application development, incident investigations, and onboarding processes to become prolonged and haphazard.