More frequent releases! We continue to march Loki towards the first GA release, and to help that process we are going to target bi-weekly to weekly releases, depending on changes. - Ed Welch 08/12/2019 My mistake, there was clearly a typo in my previous post, and when I said bi-weekly I clearly meant bi-monthly. ;) The good news, however, is that the project has been very busy and there are some very exciting new features in Loki v0.4.0!
When it comes to Java applications, to make sure they run at peak performance, it’s critical to close the resource gap between the code and the virtual machine it’s running on – if there is one. The way to do that is by peaking into and fine-tuning the Java Virtual Machine (JVM). However, that’s easier said than done. Many factors can influence JVM performance, and during tuning, you must consider all of them. Though, there are ways around that to make it not be such a pain.
We’re happy to announce a new integration with Google Stackdriver, allowing users to easily ship data from Google Cloud Platform into Logz.io via Google Pub/Sub! Early adopters of Google Cloud may recall that they were pretty much in the dark as far as logging their projects was concerned. Sure, they could access their virtual machines and manually grep log files but that was pretty much it. With this new integration, we can import logs from Stackdriver into Logz.io.
Dashboards do their job best when they are a centralized space for the data you need. Not all data, but specifically those key performance indicators that drive the decision making at the top. Uptime.com created a customizable dashboard system that brings that level of personalization to you and your organization.
It’s that time of the year again when you sport your favorite costume, carve pumpkins, gear up for trick-or-treating, and reread Gothic stories. It’s almost Halloween! There is no denying that October is all about ghosts and ghouls, tricks and treats, witches and wizards, pirates and pumpkins. However, October is also National Cybersecurity Awareness Month (NCSAM), a time to remember that alongside our cogent fears lies another reality that’s much more ghastly—cyberattacks.
IDC predicts a ten-fold increase in data by 2025, which should surprise just about no one. We are all producing more and more data every day—more data than ever before, with no slowdown in sight. Recently we joined forces with our friends over at CHAOSSEARCH to deliver a webinar on the topic of Big Data Done Right—How to Spend Less While You Store & Analyze More. In this webcast, we discussed some best practices around big data storage, transfer, and access.
After the unfortunate Commonwealth Bank of Australia outage last week, the powerful Payment Systems Board—whose members include the chairs of the RBA and APRA – announced it would make all outage data public to prevent banks, payment schemes, and telecommunications carriers from “hiding behind” the performance statistics shared by each institution.
Today, most IT teams find themselves facing a number of challenges presented by the new and increasingly complex infrastructure that accompanies digitization, including an exponential increase in data volumes and types. In fact, Gartner estimates that the data volumes generated by IT infrastructure and applications are increasing two- to three-fold every year (and that’s compounding growth). There’s clearly too much data for the humans on the IT team to sort through on their own.
Raygun’s CTO Jeremy Norman chats with Alex Williams of The New Stack to give a technical demo of the multithreaded trace feature in Raygun APM. Jeremy offers practical examples of how traces work, how you can monitor microservices more accurately, and why Raygun is different from other APM tools.
Since Kubernetes was open sourced by Google in 2014, it has steadily grown in popularity to become nearly synonymous with Docker orchestration. Kubernetes is being widely adopted by forward-thinking organizations such as Box and GitHub for a number of reasons: its active community, rapid development, and of course its ability to schedule, automate, and manage distributed applications on dynamic container infrastructure.
