Operations | Monitoring | ITSM | DevOps | Cloud

AWS Lambda is a compute service that lets you run code on high-availability infrastructure without any server provisioning. You can perform tasks such as maintenance of servers and operating systems, capacity provisioning, automatic scaling, and code logging and monitoring. When using AWS Lambda, you are just responsible for your code. Lambda manages the resources needed to run your code, like CPU, network infrastructure, and memory.

Aiven's OSPO is now one year old. Find out what OS Engineering Manager Josep Prat and his team have learned about setting up and running the function.

For many organisations, multi-cloud has become or is becoming inevitable. After all, it’s unlikely there is a single cloud out there that is able to support all your requirements. More than likely however, is the chance that your business is becoming multi-cloud by stealth. Organisations typically use several, to dozens, to hundreds of Software-as-a-Service (SaaS) products, as well as a handful of Infrastructure-as-a-Service (IaaS) hosting services, and development Platforms-as-a-Service (PaaS).

To run a business efficiently, it is particularly important to keep your customers happy. It does not matter how many customers you have, what matters is how good your service is! However, providing the best customer service can be a daunting task. Every customer wants their queries resolved at the earliest. However, it can be a huge problem, especially when there are customers in abundance. This is where a mobile helpdesk solution comes into play.

MLOps pipelines are a set of steps that automate the process of creating and maintaining AI/ML models. In other words, Data Scientists create multiple notebooks while building their experiments, and naturally the next step is a transition from experiments to production-ready code. The best way to do this is to build an effective MLOps pipeline. What’s the alternative, I hear you ask? Well, each time you want to create a model, you run your notebooks manually.

The rolling thunder of cybersecurity warnings has built to a crescendo this year. According to HelpNetSecurity, cybercriminals launched over 9.75 million DDoS attacks in 2022. The Cloudflare Attack Trends 2022 Q1 Report published yesterday shows an alarming increase in application-layer DDoS attacks. And our own Doug Madory has been sharing analysis on the impact of cyberattacks, too.

I always tell people "Observability is not logs, metrics, and traces! Observability is empowering your team to ask questions." That's very aspirational and sounds good, but it's not at all clear. I now have a self-contained story that perfectly explains it!

When a startup is in its very early stages, rapid iteration and dynamism are at the top of its priorities. The ability to do so, while maintaining a stable and high-quality product, is a big challenge facing the R&D group. We want to release features as quickly as possible, but this rapid velocity cane cause conflicts when writing in-depth, comprehensive tests.

Cloud costs are a daily concern for companies running applications on Amazon Web Services (AWS). This makes sense because many organizations struggle with unexpected AWS charges. Although many organizations have a cloud budget in place, accurately controlling costs is difficult. Real-time cost remediation is often difficult for many, leading to inflated AWS costs every billing cycle. No matter where you are on your cloud journey, reducing AWS costs is something you’ll want to do continuously.