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Latest Blogs

Autoscaling in Cloud Computing

Autoscaling in cloud computing is the ability of a system to adjust its resources in response to changes in demand automatically. This guarantees that applications always have the resources they need to perform optimally, even during periods of high traffic. Autoscaling eliminates manual intervention, allowing your dev team time to focus on your product. All major cloud providers like AWS, Azure, and Google Cloud Platform offer robust autoscaling solutions with many features and capabilities.

How to Integrate Docker with Logit.io

Docker is an open-source container service provider, designed to help developers build, run, and share container applications. Users building and running these container applications need to conduct effective debugging and monitoring practices and for this, they have turned to Docker logging. To understand the importance of this, the latest edition of our how-to guide series surrounds Docker.

InvGate's Evolution: Unveiling The Next Generation of Service & Asset Management

At InvGate, our focus has always been to deliver solutions that meet and exceed the ever-evolving needs of organizations. That's why, today, we are excited to announce not just a renaming of our products, but a relaunching of our solutions. InvGate Service Management (formerly known as InvGate Service Desk) and InvGate Asset Management (previously known as InvGate Insight) represent a new era in how you manage IT and beyond.

Common Kafka Performance Issues and How to Fix Them

Kafka’s bread and butter is real-time data streaming, but like any complex system, it can run into performance issues. These problems often sneak up as your cluster scales, leading to bottlenecks, slowdowns, or even crashes if left unchecked. The good news? Most of these issues are fixable with the right diagnosis and a few tweaks. In this blog, we’ll look at some of the most common Kafka performance issues and provide practical solutions to get things running smoothly again.

25 Azure Monitoring Tools To Consider For Cloud Optimization

Microsoft Azure is the most popular cloud computing platform after Amazon Web Services (AWS). With over 200 services and resources available, there are plenty of ways to use Azure. This means the Azure public cloud allows hundreds, if not thousands, of unique configurations. This flexibility is ideal for tailoring Azure to your workload’s requirements but also makes cloud management more challenging.

Try these IoT Integrations in ilert

The Industrial Internet of Things (IIoT) industry is experiencing rapid growth and transformation, driven by advancements in connectivity, data analytics, and automation technologies. The number of connected devices and sensors is constantly growing and is expected to be around 18.8 billion by the end of 2024. More and more manufacturers rely on automation every day. ‍

Why I like discussing actions items in incident reviews

Are incident reviews about learning or tracking actions? This question has sparked recent debate in incident management circles, including in my recent panel at SEV0 and in Lorin Hochstein’s post. Should the goal of an incident review be learning, or should it focus on tracking actionable improvements? When is the right time to discuss actions, and are they picked up just to make us feel better? From my experience, learning from incidents and identifying actions are inseparable.

Grafana for beginners: Quick tips to add a data source, choose a visualization type, and more

In the observability space, ease-of-use has always been a key differentiator for Grafana. As much as we want to offer a powerful observability platform to our users, we also want to ensure they can get up and running as quickly as possible. Still, for those of you sitting down to build your first dashboard, we totally understand that a little guidance can go a long way.