Telemetry Pipeline Insights & Observability Best Practices
10 Reasons To Invest In Data Observability
Data operations are like tuned automobiles. When all the parts operate together, the result is a stunning blend of speed and performance. If one of the numerous components fails, you are unconsciously invoking an accident. Data Observability is a pillar of the growing Data Reliability category and the next frontier of data engineering, solving complex … Read more
Centralized Windows Event Log Management on Apica
We’ve previously written about how event and endpoint logs are essential for maintaining endpoint and overall system security. A breach at an endpoint could quickly bring attackers straight to the heart of your IT systems and networks. Our previous post showed you the importance of centralizing operating system logs and shipping Linux logs to Apica … Read more
Tiered Storage – Pros and Cons
Tiered storage is a method of data management that assigns data to various kinds of storage devices/media based on the current value of the underlying data. Data management that is effective acknowledges that all information has an inherent value from the moment it is generated until it is no longer useful and that this value … Read more
Splunk Costs: How to escape the “Ingest Hell” and Maximize value
An overview of Splunk costs Did you know that utilizing Splunk to index 5 GB of data per day would cost you more than $30,000? It’s pretty much evident that Splunk costs are extremely high, especially for small cloud businesses, albeit being one of the key players in the cloud monitoring and observability landscape, Today, … Read more
11 Data Observability Platforms for 2022 and beyond
What characteristics distinguish an effective data observability platform? Data observability platforms enable the tracking of downstream dependencies in order to remedy the underlying issue. The following criteria should be considered while designing an observability platform. Simple installation End-to-end monitoring Observability of distributed systems Architecture At Apica, we understand how tedious a task it is to … Read more
Future-proofing SecOps teams with Observability pipelines
As production settings grow more dispersed and ephemeral, SecOps and DevOps teams struggle to comprehend system availability and performance. Despite the proliferation of monitoring solutions available today, real-time visibility remains elusive. Software, now in the form of distributed, high-velocity, and complicated cloud infrastructures continues to be the only known method to build a contemporary organization … Read more
Why Machine Data Observability
While data pipelines may move data, they cannot monitor it. These data pipelines are complicated systems that need a data observability architecture for continuous investigation and end-to-end monitoring to determine why operations fail. This, together with the current shortage of observable data, contributed to the creation of the backbox. The black box produces output without … Read more
5 ways to build reliable data pipelines effectively
The application of analytics in the industry is widespread and diverse. From connecting all elements of a technological ecosystem to learning from and adapting to new events to automating and optimizing processes, these use cases are all about supporting the people behind every business, aiding their productivity, and unlocking insights that drive faster business outcomes. … Read more
Forwarding AWS S3 logs to Apica
Amazon S3 is often the platform of choice for companies looking to store corporate data, address their ever-increasing data storage needs, and even host static websites. However, given the relatively simplistic nature of S3, you need to set up additional machine data pipelines and monitoring solutions outside of the AWS ecosystem to monitor data access … Read more
Machine data pipelines that never block, never drop
When it comes to IT observability and monitoring, machine data pipelines form the nerves if your observability platform is the nerve center. They create channels that transmit machine data from the sources that generate them to the target platforms that act on them. Multiple things often challenge machine data pipelines. They need to deal with … Read more
Building apica.io for Observability at Scale
At apica.io, we architect and build our software for infinite scale. Infinite scalability was part of our Day 0 thinking. Our system is also designed for elasticity. Any modern technology that processes data needs to be architected as such. Most, if not all, observability systems today are built on scale-up models which need reconfiguration, and … Read more
Streamlining IIoT data pipelines with Apica
We’re in the middle of what is now widely acknowledged as the fourth industrial revolution. The digitization of industrial and manufacturing processes has transformed the way industries produce and operate on a daily basis. Arguably, the biggest cog in the machine that’s fueling this revolution is the Industrial Internet of Things (IIoT). IIoT unifies industrial … Read more
