Operations | Monitoring | ITSM | DevOps | Cloud

We have upgraded to the latest PostgreSQL version. Read on to find out what changes for you.

Today was a very exciting day for Logz.io, as we held ScaleUP 2021 – our second annual user conference – dedicated to elevating our customers’ success, discussing best practices for modern observability, and unveiling Logz.io’s latest product updates. These product advancements were presented by our Co-Founder and VP of Product Asaf Yigal, and members of the Logz.io software engineering team.

Incidents are a great opportunity to gather both context and skill. They take people out of their day-to-day roles, and force ephemeral teams to solve unexpected and challenging problems. In my career, I've found incidents can be a great accelerator - for both myself and others around me. It was after leading my first incident at GoCardless that I started to feel really comfortable in the codebase and the team.

Thinking about using Google Dataproc as your cloud vendor? We can see why. Google Dataproc is a powerful tool for analytics and data processing, but to get the most out of it you have to ensure you use it properly. We’re going to explore five best practices you can use to lower your Google cloud costs while maximizing efficiency: Following these tips will ensure the best performance and help keep your cloud costs in line.

If your network operations are slow and inefficient, you could be having issues with your latency. Latency measures how long it takes for data to move from one place to another. There are many reasons why you could be experiencing network latency—propagation time, transmission delays, and processing delays are all common causes of latency. When latency occurs, it negatively affects the performance of your network.

JFrog security research team (formerly Vdoo) has recently disclosed a code injection issue in one of the utilities shipped with Tensorflow, a popular Machine Learning platform that’s widely used in the industry. The issue has been assigned to CVE-2021-41228. This disclosure is hot on the heels of our previous, similar disclosure in Yamale which you can read about in our previous blog post.

Last month, we partnered with AWS to put together a webinar on the importance of implementing a comprehensive redundant networking and multi-CDN monitoring strategy. You can replay the event in full here. In this article, we’ll recap the key takeaways covered by the panel of experts who included Leo Vasiliou, Director of Product Marketing at Catchpoint, and Steve Campbell, our Chief Strategy Officer.

There are “good” hackers. They call themselves security analysts and some even devote their time to working for the common good. They investigate possible vulnerabilities in public and known applications, and when they find a possible security flaw that could endanger the users of those applications, they report that vulnerability to the software manufacturer. There is no reward, they are not paid for it, they do it to make the world safer.

Leveraging Terraform, which is an infrastructure-as-code platform, is a great match. Using both technologies together is becoming more mature and there have been some great pieces around the art of the possible between the two platforms. Though if you are unfamiliar with both, this guide will get you up and started with both Terraform and Shipa together. In this example will be using Terraform to create all of the necessary Shipa resources to deploy to a Kubernetes cluster.

Sometimes "getting data in” (or GDI) can be just as complicated as managing the data itself. From the early days of Splunk, getting data in has been a critical aspect of delivering the right data for visibility, investigation, and action. As data locality proliferates, formats evolve, and volumes grow, customers need easy access to their data, in the right place, in the right shape, and at the right time.