Docker containers are an amazing invention that simplified the lives of many IT departments. Container images are lightweight, easily standardizable, and highly secure. Docker is the technology of choice when you need to run several different (and possibly newer) applications on the same servers.
In a recent post, we talked about AWS CloudTrail and saw how CloudTrail can capture histories of every API call made to any resource or service in an AWS account. These event logs can be invaluable for auditing, compliance, and governance. We also saw where CloudTrail logs are saved and how they are structured. Enabling a CloudTrail in your AWS account is only half the task.
Never before in history has the concept of identity been so vital. To a large extent, everything we rely on to live our lives depends on who we are… or perhaps more accurately, who we can prove ourselves to be. Our data has come to be the standard by which we define ourselves. Because this identity-defining data is online, the protection of our data is of paramount importance.
In the first part of our AWS S3 series, we discussed what AWS S3 buckets are, the difference between S3 and EC2s, advantages of AWS S3 object storage, and AWS S3 API integration. In this next post, we’ll be covering AWS S3 Monitoring, including the importance of leveraging data and monitoring metrics, and how Sumo Logic provides insight into your infrastructure with S3 logs.
Information and insight gathered from data delivers tremendous value. But data isn’t helpful if you’re drowning in it! For a while, three open source projects, Elasticsearch, Logstash, and Kibana (together known as the ELK Stack), were touted as the fastest and most cost-efficient approach to managing log and event data.
You have Gigabytes or Terabytes of logs coming in on a daily basis, but now what do you do with them? Should I keep 10 days, 30 days or 1 year? How do I rotate around my logs and configure them in Graylog? Let's talk about the best practices around log retention and how to configure them in Graylog. Log rotation can be done for various reasons ranging from meeting a compliance goal, keeping the size of the index down for faster searches or to get rid of data after a set amount of time.
This post will answer a simple question, “What is MTTD?” The answer—or at least the start of it—was already spoiled by the post title. Sure enough, MTTD stands for “Mean time to detect.” It refers to an important KPI (key performance indicator) in DevOps. Is the question answered? Can we call it a day with that definition? Of course not.
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!
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.
If there is one thing that all Software as a Service (SaaS) companies understand, it is the pressure of “being fired”, as SPS Commerce’s Andy Domeier puts it. SPS Commerce is a cloud-based supply chain management software company and Andy is a Senior Director of Technology there - so he knows what he is talking about. Part of the core value of buying SaaS solutions is that you are typically buying a subscription, which means that you can also cancel that subscription at some point.
